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  • 2025-09-08 Science Education 2 1 32

    CONTENT VALIDITY AND RELIABILITY OF MATHEMATICS TESTS FOR BASIC EDUCATION CERTIFICATE EXAMINATION IN ABIA STATE, NIGERIA


    KEYWORD: Keywords; Mathematics, Tests, Content Validity, Reliability, BECE, and Test Blue Print.
    Author: Ike, Iheanacho C, Alwell, Uzoma., Onyegbuchelem, Chialuka A., &

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    Abstract This research assessed the Content Validity and Reliability of Mathematics Tests for the Basic Education Certificate Examination (BECE) in Abia state, Nigeria. The study was guided by three research questions and two null hypotheses, employing an evaluation research design. The study population consisted of 240 items (also served as the sample size), utilizing BECE mathematics tests from 2019 to 2022 as research instruments. Percentage was used to answer research questions one and two and Kuder-Richardson 20 was used to answer research question three, chi-square goodness of fit test was employed to test the null hypotheses at a 0.05 significance level. Results indicated that content percentages in the tests aligned significantly with those in the Mathematics Curriculum, but the objectives' percentages did not. The instruments exhibited reliability indices ranging from 0.9338 to 0.9790. Consequently, it was concluded that while the constructed mathematics tests were reliable, they lacked sufficient content validity. The researchers recommended employing a well-developed test blueprint to enhance content validity during test construction.

    Keywords; Mathematics, Tests, Content Validity, Reliability, BECE, and Test Blue Print.
  • 2025-09-08 Science Education 2 1 64

    THE EFFECT OF RESIDENTIAL LOCATION AND GENDER ON ACADEMIC ACHIEVEMENT IN PRACTICAL SCIENCE COURSES AMONG UNIVERSITY STUDENTS IN IMO STATE NIGERIA


    KEYWORD: KEYWORDS: Impact, residential locations, academic achievement, ex-post facto, t-test statistics, campus
    Author: *Ejiogu, Blessing C., Nwokocha, Cecily O.,Okore Glory J.,Fagbenro

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    This study investigated the impact of different residential locations and gender on academic achievement in practical science courses among students of Alvan Ikoku Federal University of Education, Owerri, Imo State, Nigeria. The academic performance of male and female students residing in hostels, off-campus, and a combination of off-campus and hostel accommodations was studied. Purposively, physics students were sampled for the study due to various practical courses and workshop practices the students are engaged in. The design of the study was ex-post facto design. A total of one hundred and twenty-four (124) students and session results of five (5) physics practical courses and three (3) physics workshop courses were used in this study. Fifty-seven (57) of the students resided outside the university premises, forty-eight resided in the hostel, while the remaining nineteen (19) students resided partly in the hostel and partly outside the campus. Statistical analyses including mean, standard deviation, t-tests and anova at 0.05 alpha level were used to ascertain the relationship between living arrangements, gender, and academic outcomes. The findings indicated that students living in hostels perform significantly better in practical physics courses than those living off-campus, with gender differences not influencing academic achievement. The study highlights the importance of residential environments in enhancing academic performance in practical oriented science courses. It is recommended that students should be encouraged to reside on the campus for effective participation and performance in practical courses.

    KEYWORDS: Impact, residential locations, academic achievement, ex-post facto, t-test statistics, campus
  • 2025-09-09 Science Education 2 1 34

    PRE-SERVICE ENGLISH LANGUAGE TEACHERS’ PERCEPTION OF THE USE OF CHATGPT ARTIFICIAL INTELLIGENCE TECHNOLOGY FOR LEARNING ENGLISH LANGUAGE


    KEYWORD: Key words: Perception; ChatGPT; Artificial Intelligence; Pre-service English teachers English language learning.
    Author: 1Bede Blaise Chukwunyere Onwuagboke, Ph.D. 1Rev. Rowland Chibui

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    Abstract The study examined the perception of Pre-service English Language teachers in Alvan Ikoku Federal University of Education, Owerri on the use of ChatGPT Artificial Intelligence (AI) tool in learning of English Language. Three research questions and one hypothesis were formulated in accordance with the purpose of the study. Descriptive survey research design was adopted. The instrument used for data collections were questionnaires and the population for the study consisted of all English Language Pre-service teachers in the University who participated in the 2024 teaching Practice exercise. A sample size of two hundred (200) pre-service teachers was randomly drawn from the entire population of the study through a proportionate simple random sampling technique. Findings reveal that the pre-service English Language teachers were highly aware of ChatGPT as AI tool for learning English language with no significant difference in awareness level between males and females. Furthermore, it was discovered that there were many benefits of using ChatGPT as a learning tool. Some challenges to the use of the tool in learning includes limited access to the tool can create inequality; it cannot be used as an authoritative source of information and poor internet connectivity among others. Based on the findings, the researchers recommended that workshop on the effective use of ChatGPT and other emerging AI tools in learning should be designed for all lecturers and students in the University.

    Key words: Perception; ChatGPT; Artificial Intelligence; Pre-service English teachers English language learning.
  • 2025-09-17 Science Education 2 1 23

    EFFECT OF INTELLIGENT TUTORING SYSTEM ON THE ACHIEVEMENT OF MATHEMATICS STUDENTS IN OWERRI Municipal COUNCIL OF IMO STATE


    KEYWORD: Artificial Intelligence, Intelligent tutoring system, mathematics, achievement and gender.
    Author: 1OGOKE, Chinemeze James, james4justics@gmail.com 2 ANYANWU, Anth

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    The technological improvement like artificial intelligence (AI) provides an opportunity to help teachers and students solve and improve teaching and learning performances, especially in mathematics. The aim of this study centers on the application of intelligent tutoring system as artificial intelligence tool in the teaching and learning of mathematics: implication for achievement. The researcher adopted a pure experimental design, specifically; pre-test, post-test randomized control group was used. The area of the study is Owerri municipal council of Imo State. The population comprised 4200 students in private secondary in Owerri Municipal Council of Imo state. The sample size was 72 students selected through purposive sampling technique. One instrument was used for collection of data namely; Geometry Achievement Test (GAT). Three experts validated the instrument. The reliability co-efficient value of 0.74 was gotten which was calculated using the Kuder – Richardson Formula 20. Experimental group was taught using the application of AI tool while the control group was taught without the application of AI tool. Mean and standard deviation were used to answer the research questions while the hypotheses were tested using Analysis of covariance (ANCOVA). The null hypothesis (Ho) is rejected at p value less than 0.05. In conclusion, students taught Geometry with AI did not achieved more than those taught without AI. There are no significant differences in the mean achievement scores of male and female students taught Geometry using AI. It was therefore recommended that improved technologies be provided for both teacher and students for effective application of AI.

    Artificial Intelligence, Intelligent tutoring system, mathematics, achievement and gender.
  • 2025-10-03 Computing and Applications 2 1 7

    Prediction of Road Traffic Accidents using Machine Learning Techniques


    KEYWORD: Keywords: Prediction, Road traffic accident, Support vector machine, Classification tree, Ensemble bagged tree
    Author: 1Taiwo, E. O., Uzoma, P. O., 3Odoemene, I. O. & 4Ihim, K. C.

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    Abstract Road traffic accident is a major concern in the whole world. A large number of people die annually due to road accidents, causing irreparable losses and emotional distress to their family members and society. The study analyzed the effectiveness of three machine learning techniques on the road traffic accidents dataset that was obtained for a period of three years (2020-2022) from the National Bureau of Statistics (NBS). The dataset consists of 27 attributes and 481 instances which were further divided into 75% for training and 25% for testing. The metrics used for evaluation include: accuracy, prediction speed, training time, and area under curve (AUC). The dataset was used to formulate predictive models for road traffic accidents using Support Vector Machine (SVM), Classification Tree (CT), and Ensemble Bagged Tree (EBT) algorithms. The formulation and simulation of the predictive models were carried out using the Matrix Laboratory (MATLAB) statistical tool. The results show accuracy (%) of 56.3, 43.2, and 55.7. Execution Time (Secs) of 66.485, 1.4291, 5.466. Prediction Speed (Obs/Sec) of 120, 14000, 1600, and AUC of 0.79, 0.73, 0.82 for SVM, CT, and EBT techniques respectively. The three models were compared and the best model in terms of accuracy was selected and validated. The study concluded that the SVM model recorded the highest prediction accuracy followed by EBT and CT based on the dataset used. The study, therefore, recommends that the performance of other machine learning techniques could be tested on the dataset.

    Keywords: Prediction, Road traffic accident, Support vector machine, Classification tree, Ensemble bagged tree
  • 2025-09-08 Science Education 2 1 23

    HARNESSING ARTIFICAL INTELLIGENCE (AI) TECHNOLOGY TO IMPROVE TEACHING AND LEARNING OUTCOMES IN HEALTH EDUCATION


    KEYWORD: Keywords: Artificial intelligence, Academic integrity, academic performance, teaching method
    Author: Akunya Eunice I., Amanze-Njoku Confidence and Okonkwo Jennifer U.

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    This study examined the role of AI technology in improving teaching and learning outcomes in health education. The study was guided by two research questions. A survey design was used. The population of the study was made up of 360 third and fourth year students and thirty three academic staff of health education department Port Harcourt of the university of Port Harcourt in 2022/2023 academic session. A random sample of 90 respondents was used consisting of 70 health education students and 20 academic staff. Data were collected using questionnaire and analysed by means of weighted mean. The findings of the study revealed that AI has the potential to improve academic achievement by personalizing teaching methods to suit individual student needs, providing prompt feedback and assisting in grading and assessment. The result also offered profound insights into the challenges posed by the integration of AI in higher education. The impact on academic dishonesty, the menace of pedagogical shifts, and the dynamic relationship between students and AI were scrutinized, contributing to a nuanced comprehension of the intricate dynamics within the academy. It was recommended among others that the use of AI should be introduced in the teaching and learning of health education in tertiary institution since it has been found to be effective in instructional delivery .

    Keywords: Artificial intelligence, Academic integrity, academic performance, teaching method
  • 2025-09-08 Science Education 2 1 20

    ARTIFICIAL INTELLIGENCE PROCTORING OF STUDENTS’ EXAMINATION IN HIGHER EDUCATION INSTITUTIONS IN IMO STATE


    KEYWORD: Key Words: Artificial Intelligence, Proctor, AI Proctoring, Examination, Cheating
    Author: Amanze-Njoku Confidence Ngozi, Akunye Eunice Ijeoma, Anozie Keyna

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    This study, using a descriptive survey design, investigated the artificial intelligence proctoring in higher education institutions in Imo State. Three research purposes and three questions guided the study. The population of the study consisted of 30 respondents in the Department of Health Education in higher education institution in Imo State using purposive sampling technique A researcher-made structured questionnaire titled, “Artificial Intelligence Proctoring Questionnaire (AIPQ)” was the instrument for data collection. The instrument was structured after Likert modified four-point scale of SA - Strongly Agree (4), A - Agree (3), D - Disagree (2) and SD – Strongly Disagree (1). The reliability test showed a coefficient of 0.84, using split-half reliability technique while Cronbach alpha was used to test the instrument reliability. The data collected were analyzed with descriptive weighted mean statistics at 2.5 criterion mean. Result showed that AI proctoring facilitates automated monitoring of exams, behavioural analysis of examinees and promotes facial identification. Based on the result of data analysis, it was concluded that AI proctoring is a portent tool for ensuring test score integrity and curbing examination malpractices. The following among others, were recommended: Health education department in higher institution in Owerri should adopt automated examination taking and proctoring to fight against cheating and unmerited scores. The government should provide schools adequate number of computer and support facilities in order to fully automate examinations in tertiary institutions.

    Key Words: Artificial Intelligence, Proctor, AI Proctoring, Examination, Cheating
  • 2025-09-08 Science Education 2 1 18

    EXPLORING THE ROLE OF ARTIFICIAL INTELLIGENCE IN MATHEMATICS EDUCATION IN THE 21ST CENTURY IN NIGERIA


    KEYWORD: Keywords: Artificial Intelligence (AI), Mathematics Education, student's engagement and educational impact
    Author: Dr (Mrs) Comfort Chinelo Onyeneho and Mr. Omokaro Blessing

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    Artificial intelligence (AI) has become a crucial element in teaching methodologies, significantly impacting student engagement, problem-solving skills, real-world application of concepts, and bridging educational gaps. The integration of AI into mathematics education presents a novel pathway to enhance learning outcomes, personalize student learning experiences, and streamline instructional methodologies. Al-driven tools and solutions need to be scalable not only in terms of technology but also in terms of educational impact across diverse educational settings and student populations. This paper explores the impact of AI on mathematics education in Nigeria, which has promising prospects for the nation's advancement in science and technology. Through a meticulous examination of current trends, challenges, and opportunities, it becomes apparent that strategic implementation of AI could metamorphose the educational setting, equipping Nigerian students with the competencies requisite for success in the 21st century.

    Keywords: Artificial Intelligence (AI), Mathematics Education, student's engagement and educational impact
  • 2025-09-08 Sports Science and Recreation 2 1 20

    POTENTIAL BARRIERS TO EFFECTIVE ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN SPORTS AS PERCEIVED BY COACHES IN TERTIARY INSTITUTIONS IN ENUGU STATE OF NIGER


    KEYWORD: Keywords: Artificial Intelligence (AI), economic barriers, ethical barriers, technical barriers, psycho-philosophical barriers.
    Author: DR. JOSEPH U. EZE

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    Abstract The study investigated the Potential Barriers to Effective Artificial Intelligence (AI) applications in sports as perceived by coaches in tertiary institutions in Enugu State. Five hundred and fifty-two (552) sports coaches constituted the population from whom 257 were selected as the sample for the study using purposive sampling technique. One research question guided the study and one null hypothesis was postulated and tested at 0.05 level of significance. The instrument for data collection was a researcher-designed questionnaire titled “Perceived Barriers to AI Applications in Sports Questionnaire” (PBAASQ). Three experts validated the instrument. A reliability index of 0.75 was determined for the instrument using Cronbach Alpha Statistic. Frequencies and percentages were used for answering the research question and t-test used to test the hypothesis. The findings indicated that coaches perceived economic, ethical, technical, and psycho-philosophical factors as potential barriers to effective AI applications in sports. Additionally, there was no significant difference in the coaches’ perception of the factors as barriers based on their institution ownership and location while a significant difference existed based on their institution type. It was recommended amongst others that government at all levels, sports federations, enterprises, sports departments, colleges and universities should provide strong financial support for institution sports and as well organize coaches and other sports officiating experts for purposes of formulating national standards for applications of AI in sports while also use block-chain and other technologies to provide strong protection for AI users privacy rights and intellectual property rights.

    Keywords: Artificial Intelligence (AI), economic barriers, ethical barriers, technical barriers, psycho-philosophical barriers.
  • 2025-09-08 Sports Science and Recreation 2 1 18

    PSYCHO-PHILOSOPHICAL CRITIQUE OF TECHNOLOGY USE IN SPORTS FOR BETTER SPORTS PERFORMANCE, PARTICIPATION AND COMPETITION


    KEYWORD: Keywords: Sport technology, technological devices, human agency, experiential knowledge, psychological well-being, affordances, self-efficacy, and fairness in c
    Author: Dr. Joseph U. Eze and Prof. Joshua E. Umeifekwem

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    Abstract The need to draw a critique on technology use in sports through psycho-philosophical lens provoked this work. The marriage between sports and technology came to the fore with the crave of the great industrial revolution for a shift of societies from agrarian economy to manufacturing economy where producing products were no longer left with the hand alone but also the machine. Till date, it has come to stay and no time soon can anybody predict otherwise as it is increasingly difficult if not practically impossible to imagine sport and sport science without technology. From athletes to coaches, athletic officials, spectators and other significant actors in the sports ecosystem, technology has proven the capacity to genuinely revoluntionalize sports. Today, by leveraging on technology, athletes better themselves in more than one way; coach’s job has been made easier, safer and broader; athletic officials become more accurate in their decisions during some difficult moments in competitions; and spectator fast becoming active, rather than passive viewers in sporting events. However, a circumferential view through psycho-philosophical lens has started prompting the quest for deeper insights into the modern technology paradigm among sport science and educational team who now ask and reflect on some tough questions of the current applications of technology in sport. Answers to queries as to how the present technology use would detract from the inherent values of sports through displacing human agency by way of allowing practitioners no opportunity for sense of agency, overall experiential knowledge, self-efficacy, and control, would better situate awareness on the contrivances of current technological applications in sports. This is what the present work has attempted.

    Keywords: Sport technology, technological devices, human agency, experiential knowledge, psychological well-being, affordances, self-efficacy, and fairness in c
  • 2025-09-08 Applied and Physical Sciences 2 1 32

    TECHNOLOGICAL READINESS AS PREDICTOR OF ARTIFICIAL INTELLIGENCE ACCEPTANCE AMONG LECTURERS IN FACULTY OF SCIENCES, AIFUE, OWERRI, IMO STATE


    KEYWORD: Keywords: Artificial Intelligence, AI-Acceptance, Technological Readiness
    Author: Duru, D. C., Obasi, C (PhD)., Nwachukwu, C.U. (PhD), Ahanotu, C.,

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    Abstract In this era of digital revolution, artificial intelligence stands to be one of the emerging technologies to revolutionize the way we live, work, or communicate. While everyone is fighting to lead in this technology, their readiness differs, and acceptance challenges arise in the education sector. Therefore, this paper examined technological readiness as a predictor of artificial intelligence acceptance among lecturers in the Faculty of Sciences, Alvan Ikoku Federal University of Education, Owerri, Imo State. Three research questions guided the study. The study is a predictive design of a correlational type. All the 147 Faculty members formed the sample based on census sampling technique. Two instruments (Technological Readiness Index (TRI) and Questionnaire Acceptance of Artificial Intelligence (QAAI)) were used to collect data for this study. A single administration and Cronbach's Alpha ensured the reliability index of TRI (0.87) and QAAI (0.81) for the instruments. The data collected were analysed using multiple regression analysis, Pearson correlation coefficient, and coefficient of determination with the aid of Statistical Package for Social Sciences (SPSS) version 20.0. The results of the study revealed that each of the four variables of technological readiness (optimism, innovativeness, discomfort, and insecurity) relates positively and significantly to artificial intelligence acceptance. Also, there was a high relative predictive power of each of the four variables of technological readiness to artificial intelligence acceptance. The result also showed that the four variables of technological readiness jointly accounted for about 68.7% of the variance observed in lecturers’ artificial intelligence acceptance. However, innovativeness had the highest predictive power. It was recommended that lecturers should always be ready to utilize AI in their academic activities and to increase its acceptance.

    Keywords: Artificial Intelligence, AI-Acceptance, Technological Readiness
  • 2025-09-08 Science Education 2 1 18

    PERCEIVED ROLE OF ARTIFICIAL INTELLIGENCE IN TEACHING AND LEARNING CHEMISTRY IN SECONDARY SCHOOLS IN IMO STATE, NIGERIA


    KEYWORD: KEYWORDS: Artificial Intelligence, Teaching, Learning, Chemistry.
    Author: Echenu, Favour Amara , Okezie Mary Nkechi , Chikezie Oluchi Irene

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    Abstract The study examines the role of artificial intelligence in teaching and learning chemistry in secondary schools in Imo State. The study is based on two objectives and two research questions. The study employed a descriptive survey design, with a simple random sample as the population. The instrument for data collection was designed on a four-point rating scale. The instrument was face and content validated by experts in the chemistry department. The instrument was titled “Perceived Role of Artificial Intelligence in teaching and learning chemistry in secondary schools” PRAITLCSS 20 students were used to test the reliability of the instrument outside the study area. Reliability of the instrument was established using the Cronbach Alpha coefficient 0.82, showing that the instrument is reliable 284 copies of the instrument were administered and retrieved on the spot to ensure a higher rate of return. Mean and standard deviation were used to answer the research question. It was revealed that chemistry teachers and students agreed on the importance of artificial intelligence in teaching and learning chemistry in secondary school in Imo state, Nigeria. It was recommended towards that there is a need for an educational board to implement policies towards employing and the immediate use of artificial intelligence in teaching and learning chemistry in secondary schools in Imo state, Nigeria.

    KEYWORDS: Artificial Intelligence, Teaching, Learning, Chemistry.
  • 2025-09-08 Computing and Applications 2 1 36

    ENHANCED AUTOMATIC FLOOR CLEANING ROBOT USING ARDUINO NANO AND IR SENSOR


    KEYWORD: Keyword: Arduino, IR sensors , LCD display, Cleaning robot, Android Phone, Motor Dc
    Author: Emelike Chinaenye D1, Emelike Ogechi V1, Okorie Simon C (PhD)1,

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    In this twenty first century, robots are being used comprehensively in almost all fields of life, especially in such areas as hazardous, boring and repetitive routine tasks. Cleaning the floor from dusts is one of the routine activities done at home, offices shopping complexes daily. While cleaning is still done manually by maids, janitors or individuals, it still exhausts and stresses out the person doing the cleaning. Hence the need to develop an enhanced floor cleaning robot. Robots are deliberate computerization of devices to do simple job effortlessly reducing human effort. The main purpose of this project is to design and implement an automated floor cleaning robot to make cleaning process easier, cleaning the floor based on the instruction given by the user thereby providing a solution with minimal cost, user friendly, fast, efficient and save labour. The main objective of the project is to design and implement a prototype control system enhanced automatic floor cleaner controlled by Arduino Uno microcontroller and IR Sensor to achieve the aim of this project. The complete circuit can be powered by battery. With the configuration of the code based on data input, and switching on the power and buttons, the device performs functions like moving in different direct as instructed cleaning the floor.

    Keyword: Arduino, IR sensors , LCD display, Cleaning robot, Android Phone, Motor Dc
  • 2025-09-08 Science Education 2 1 41

    THE ROLE OF ARTIFICIAL INTELLIGENCE IN CURBING EXAMINATION MALPRACTICE IN NIGERIA EDUCATION SECTOR


    KEYWORD: Abstract Examination malpractice has remained a stubborn and persistent monster that has affected the quality of Nigeria’s educational as well as the veracity o
    Author: MADUKA MARGARET ADA, NONYE ONYEKWERE, OGBONNA CHIOMA, NWOSU MARTH

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    Abstract Examination malpractice has remained a stubborn and persistent monster that has affected the quality of Nigeria’s educational as well as the veracity of grades obtained in the country. The ugly trend has dragged major educational stakeholders into its net; examiners, parents and students are culprits. All efforts made so far to arrest the trend have not yielded the desired result. Therefore, attention is mounting up by the day towards the adoption of artificial intelligence (AI) as a better option. Literature is building up around the potentials of AI as a better option for fighting the menace squarely and decisively. To this end, this study investigated the role of artificial intelligence in curbing examination malpractice in Nigeria Education Sector. Using qualitative review approach, the study reviewed existing relevant literature to properly situate the study. Based on the reviews made, the study concluded that use of AI has the potentials of curing examination misconduct through its proctoring software that can depict any suspicious behavior detected in real time for curbing examination malpractice, most examination bodies in Nigeria still use human proctors even though the technology promises wonders in terms of curbing exam malpractice. Therefore, it was recommended among others that examination bodies and schools should adopt AI-based proctoring while the government should make efforts to provide adequate funds for integrating AI in the education system. Abstract Examination malpractice has remained a stubborn and persistent monster that has affected the quality of Nigeria’s educational as well as the veracity of grades obtained in the country. The ugly trend has dragged major educational stakeholders into its net; examiners, parents and students are culprits. All efforts made so far to arrest the trend have not yielded the desired result. Therefore, attention is mounting up by the day towards the adoption of artificial intelligence (AI) as a better option. Literature is building up around the potentials of AI as a better option for fighting the menace squarely and decisively. To this end, this study investigated the role of artificial intelligence in curbing examination malpractice in Nigeria Education Sector. Using qualitative review approach, the study reviewed existing relevant literature to properly situate the study. Based on the reviews made, the study concluded that use of AI has the potentials of curing examination misconduct through its proctoring software that can depict any suspicious behavior detected in real time for curbing examination malpractice, most examination bodies in Nigeria still use human proctors even though the technology promises wonders in terms of curbing exam malpractice. Therefore, it was recommended among others that examination bodies and schools should adopt AI-based proctoring while the government should make efforts to provide adequate funds for integrating AI in the education system. Key words: Artificial intelligence, examination malpractice, proctoring, examination, cheating

    Abstract Examination malpractice has remained a stubborn and persistent monster that has affected the quality of Nigeria’s educational as well as the veracity o
  • 2025-09-08 Applied and Physical Sciences 2 1 31

    A REVIEW ON RECYCLING OF RARE EARTH ELEMENTS (REEs)


    KEYWORD: Keywords: Rare earths, elements, lanthanides, recycling, technologies, balance problem
    Author: Ngozi Patricia Ebosie

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    Abstract The rare earth elements are a group of seventeen chemically similar metallic elements which include scandium, yttrium and the fifteen lanthanides. The rare earth elements have gained more importance over the years due to their useful applications. Human activities have been a significant source of rare earth elements which have eventually contaminated the earth’s surface. Recycling of rare earth elements is an important part of the global economy, especially considering the large resource demands and negative environmental impact of current rare earth production processes. There is need to develop innovative and environment-friendly recycling technologies that will take care of these issues. This review paper mainly focuses on the various rare earth recycling technologies developed over the years.

    Keywords: Rare earths, elements, lanthanides, recycling, technologies, balance problem
  • 2025-09-08 Applied and Physical Sciences 2 1 22

    GENERATING ENERGY FROM EARTH BATTERY: AN ALTERNATIVE SOURCE FOR ECO-FRIENDLINESS


    KEYWORD: Keywords: Earth battery, fuel cells, fossil fuels, alternative energy, electrodes.
    Author: Ngozi-Olehi L.C (PhD), Achinihu I.O & Mgbemene M.C

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    Abstract Technological advancement and man’s discovery have been an effective development in the knowledge of chemistry. Although, fossil fuels are continually being formed via natural resources they are generally considered non-renewable resources. The practice of green chemistry supports generating energy from earth battery as an alternative energy considered to be eco-friendly. The threat of depletion of conventional energy which is rarely replaced at equal rate of consumption as well as its negative environmental hazards prompted this study, and has given more enlightenment on the awareness and importance of green chemistry especially in the industrial energy sector. Multiple cells were connected in series by connecting the negative electrodes to the positive electrodes while parallel connection was done by connecting negative to negative and positive to positive using a copper wire. The ground was also salted to help with the conductivity. It was observed that the total voltage of the cells increased in series connection above ground but decreased when connected in parallel. Results of the pilot experimental study on generating energy from earth batteries using copper cathode and zinc anode electrodes showed that energy from earth batteries has a reasonable potential use in remote locations for signaling as well as charging cell phone and white light applications. Increased number of cells led to increase in number of volts. This paper reports a detailed experimental design of an earth battery system which is cost effective and accessible. A total of 6.56 volts were obtained from the experiment and white light LEDs were powered on site.

    Keywords: Earth battery, fuel cells, fossil fuels, alternative energy, electrodes.
  • 2025-09-08 Science Education 2 1 29

    INFLUENCE OF AI’S ON SPORTS AND PERSONNAL HEALTH PRACTICES AMONG LECTURERS IN [FACULTY OF SCIENCE IN ALVAN IKOKU UNIVERSITY OF EDUCATION


    KEYWORD: Key words: Artificial Intelligence, Sport, Personal health practices and national development
    Author: Nonye, Okafor .P. (Ph.D), Echefu, Chris, Stella C. Eze-Ufodiama (

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    Abstract Modern technology in the form of artificial intelligence has brought about a revolution in sports and personal health. The influence of AI in sport and personal health practices is anchored on the second national development strategic objective, investment of critical physical, financial, science, and innovation infrastructure. The purpose of this study was to examine the perception of the faculty of science lecturers on the influence of AI on sport and personal health for National development. Three research questions guided the study. The study adopted a descriptive survey design. The population for the study was 137, comprising of the lecturers in the faculty of science. The sample of the study was 61 lecturers, using proportional probability to size each department in the faculty. The instrument for data collection was the influence of AI on sport and the Personal Health Practices Questionnaire (IAISPHPQ). Mean and standard deviation were used to answer the research questions. The finding revealed that AI Influence sports and personal health to a great extent, it has the potential to result in instability, thereby going against the philosophy of the national development plan. The study recommended, among others, that the government should address the use of AI to ensure that AI benefits are realized without negative consequences.

    Key words: Artificial Intelligence, Sport, Personal health practices and national development
  • 2025-10-03 Health and Wellbeing 2 1 6

    INFLUENCE OF AI’S ON SPORTS AND PERSONNAL HEALTH PRACTICES AMONG LECTURERS IN [FACULTY OF SCIENCE IN ALVAN IKOKU UNIVERSITY OF EDUCATION


    KEYWORD: Key words: Artificial Intelligence, Sport, Personal health practices and national development
    Author: Nonye, Okafor .P. (Ph.D), Echefu, Chris, Stella C. Eze-Ufodiama (

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    Abstract Modern technology in the form of artificial intelligence has brought about a revolution in sports and personal health. The influence of AI in sport and personal health practices anchor on the second national development strategic objective investment of critical physical, financial, science and innovation infrastructure. The purpose of this study was to examine the perception of the faculty of science lecturers on the influence of AI on sport and personal health for National development. Three research questions guided the study. The study adopted a descriptive survey design. The population for the study was 137 comprising of the entire lecturers in the faculty of science. The sample of the study was 61 lecturers using proportional probability to size each department in the faculty. The instrument for data collection was influence of AI on sport and personal health practices questionnaire (IAISPHPQ). Mean and standard deviation were used for answering the research questions. The finding revealed that AI Influence sports and personal health to a great extent, it has the potential to result in the instability thereby kicking against the philosophy of national developed plan. The study recommended amongs others, that government should address the use of AI to ensure that AI benefits are realized without negative consequences.

    Key words: Artificial Intelligence, Sport, Personal health practices and national development
  • 2025-09-08 Applied and Physical Sciences 2 1 25

    CLOUD ACCOUNTING AND FINANCIAL TRANSACTION TRANSPARENCY IN IMO STATE SUPERSTORES


    KEYWORD: Abstract This study examined the effect of cloud accounting artificial intelligence on financial transaction transparency in Imo State. The study used Quickbook
    Author: NWACHUKWU Ifeoma Gladys, OKIKE Celestine O., Hyginus Chukwuemeka

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    Abstract This study examined the effect of cloud accounting artificial intelligence on financial transaction transparency in Imo State. The study used 'Quickbooks' , Sage50 and Sac as proxy for cloud accounting artificial intelligence to ascertain the effect on financial transaction transparency proxies with accessibility and security, reliability and accuracy, cost efficiency and enhance revenue. The study adopted survey research design. The primary data was used and the close ended constructed three likert scale questionnaire were employed for collecting of data from the respondents. Purposive sampling technique was used to select sample size of 20 staff members of Accountancy Department in Alvan Ikoku Federal University of Education, Owerri, Imo State Nigeria. The ordinal linear regression technique was employed to analyze the data as well as testing of the four hypotheses formulated for the study. From the analysis of the study, it was found out that cloud accounting platform has significant effect on financial transaction transparency. It was also found out that cloud accounting have significant effect on enhanced revenue, There the study concluded that cloud accounting platform significantly improve financial transaction transparency of any institution. Based on these findings, it was recommended that cloud accounting software should and management should encourage the staff involve through seminars and workshop. Abstract This study examined the effect of cloud accounting artificial intelligence on financial transaction transparency in Imo State. The study used Quickbooks, Sage50 and Sac as proxy for cloud accounting artificial intelligent to ascertain the effect on financial transaction transparency proxies with accessibility and security, reliability and accuracy, cost efficiency and enhance revenue. The study adopted survey research design. The primary data was used and the close ended constructed three likert scale questionnaire were employed for collecting of data from the respondents. Purposive sampling technique was used to select sample size of 20 staff members of Accountancy Department in Alvan Ikoku Federal University of Education, Owerri, Imo State Nigeria. The ordinal linear regression technique was employed to analyze the data as well as testing of the four hypotheses formulated for the study. From the analysis of the study, it was found out that cloud accounting platform has significant effect on financial transaction transparency. It was also found out that cloud accounting have significant effect on enhanced revenue, There the study concluded that cloud accounting platform significantly improve finance transaction transparency of any institution. Based on these findings, it was recommended that cloud accounting software should and management should encourage the staff involved through seminars and workshops. Keywords: Cloud accounting, financial transparency, cost efficiency, artificial intelligence

    Abstract This study examined the effect of cloud accounting artificial intelligence on financial transaction transparency in Imo State. The study used Quickbook
  • 2025-09-08 Health and Wellbeing 2 1 19

    SPORTS AND NEW WAYS TO THE ERA OF ARTIFICIAL INTELLIGENCE FOR NATIONAL DEVELOPMENT


    KEYWORD: Keywords: Artificial Intelligence, Nigerian Sports, National Development, New ways.
    Author: NWAIWU NNOCHIRI, OKOROAFOR UZOCHUKWU & JUDE CHIKEZIE NWAKAMMA

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    Abstract This paper provides an overview of relevant literature and explores the pivotal role of AI in enhancing the sports industry for national development. The paper further highlights the benefits of AI in the sports industry and its adoption, necessary reforms, infrastructure investments, personnel training, curriculum adjustments in educational settings, and the promotion of innovative processes at all levels of leadership. Furthermore, the paper addresses the challenges of digital inequality and ethical considerations. With the prioritization of these aspects, Nigerian sports can effectively harness A.I. to enhance economic growth and improve the quality of sports infrastructure administration, management, means, and ways. Also, the businesses associated with sports are growing fast due to the high awareness created through this technology. It is recommended that the sports industry educational ecosystem and businesses stay updated with the innovations.

    Keywords: Artificial Intelligence, Nigerian Sports, National Development, New ways.
  • 2025-09-08 Science Education 2 1 19

    ROLE OF CCTV AS A MEANS OF REDUCING EXAMINATION MALPRACTICES IN TERTIARY INSTITUTIONS IN IMO STATE


    KEYWORD: Keywords: Role, CCTV, Examination malpractices tertiary institution students.
    Author: Nwaobiala, Chinenye Jennifer; Fidelis, Mary Ndubuisi (PhD); Ibhaf

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    The study examined the use of CCTV as a means of reducing Examination malpractices among students of Alvan Ikoku Federal University of Education Owerri, in Imo State. The descriptive survey design was adopted in the study. The population comprises of all students of AIFUE, Owerri, Imo State. The sample of 250 students was randomly selected using sample random sampling technique. A well structured questionnaire was used to collect data and was validated by some experts and reliability of the instrument and the result was found to have a reliability coefficient of 0.62 which indicated that the instrument was reliable to collect the necessary data for the study. Data was collected was analyzed using mean, standard deviation and chi-square was used to test the hypothesis formulated at 0.05 level of significant. Findings revealed that majority of tertiary education student agreed that CCTV plays a vital role in the reduction of examination malpractice. The study therefore recommended that CCTV should be installed and also used effectively during examinations in tertiary institutions in Imo State.

    Keywords: Role, CCTV, Examination malpractices tertiary institution students.
  • 2025-09-17 Science Education 2 1 21

    CONSEQUENCE OF INTELLIGENT TUTORING SYSTEM ON THE ACHIEVEMENT OF MATHEMATICS STUDENTS IN OWERRI MUNICIAL COUNCIL OF IMO STATE


    KEYWORD: Keywords: Artificial Intelligence, Intelligent tutoring system, mathematics, achievement and gender
    Author: OGOKE, Chinemeze James, ANYANWU, Anthony, ACHUGAMONU, Pius, C, OK

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    Abstract The technological improvement like artificial intelligence (AI) provides an opportunity to help teachers and students solve and improve teaching and learning performances, especially in mathematics. The aim of this study centers on the application of intelligent tutoring system as artificial intelligence tool in the teaching and learning of mathematics: implication for achievement. The researcher adopted a pure experimental design, specifically; pre-test, post-test randomized control group was used. The area of the study is Owerri municipal council of Imo State. The population comprised 4200 students in private secondary in Owerri Municipal Council of Imo state. The sample size was 72 students selected through purposive sampling technique. One instrument was used for collection of data namely; Geometry Achievement Test (GAT). Three experts validated the instrument. The reliability co-efficient value of 0.74 was gotten which was calculated using the Kuder – Richardson Formula 20. Experimental group was taught using the application of AI tool while the control group was taught without the application of AI tool. Mean and standard deviation were used to answer the research questions while the hypotheses were tested using Analysis of covariance (ANCOVA). The null hypothesis (Ho) is rejected at p value less than 0.05. In conclusion, students taught Geometry with AI did not achieved more than those taught without AI. There are no significant differences in the mean achievement scores of male and female students taught Geometry using AI. It was therefore recommended that improved technologies be provided for both teacher and students for effective application of AI. .

    Keywords: Artificial Intelligence, Intelligent tutoring system, mathematics, achievement and gender
  • 2025-09-17 Science Education 2 1 18

    INVESTIGATING THE ROLE OF LABORATORY IN THE DEVELOPMENT OF CHEMISTRY KNOWLEDGE IN SECONDARY SCHOOLS IN IMO STATE


    KEYWORD: Laboratory, Role, Practical, Knowledge of Chemistry
    Author: Okore Glory Jerry, Ijioma Chinonye Cynthia, Achinihu Ikechukwu O.

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    Abstract The study aimed at investigating the role of chemistry laboratory in the development of knowledge of chemistry in secondary schools in Owerri Municipal Council in Imo State, Nigeria. Three specified objectives and questions were posed to guide the study, and a researcher’s constructed questionnaire was used to elicit information from the respondents. Collection of data was achieved through random sampling of five (5) out of ten (10) governments owned secondary schools in Owerri Municipal Council of Imo State. A sample of one hundred and fifty- five students responded to the questionnaire which represents five percent (5%) of the entire population. The structure of the questionnaire was the Likert model. A decision for acceptance was based on the mean of 2.50 and above, while mean below 2.50 was for rejection. Mean and standard deviation were used for data analysis. The findings obtained from the research work revealed that inadequate and ill-equipped chemistry laboratories, insufficient chemistry practical for students were some of the factors that impacted negatively on students’ knowledge of chemistry in senior secondary schools in Imo State. As a way of recommendation, government and school authorities should ensure adequate provision of laboratory equipment and facilities so as to improve the conduction of practical in chemistry at the senior secondary school level.

    Laboratory, Role, Practical, Knowledge of Chemistry
  • 2025-09-08 Health and Wellbeing 2 1 25

    PREVALENCE OF INTESTINAL PARASITES IN VEGETABLES CONSUMED IN SOME SELECTED MARKET IN OWERRI METROPOLIS, IMO STATE, NIGERIA


    KEYWORD: Keyword: Intestinal Parasite, Vegetable,
    Author: ONUOHA B. C.

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    Vegetables are very essential in human diet providing dietary fibre, vitamins and minerals. A study was carried out to determine the prevalence of intestinal parasites in vegetables consumed in some selected market Ekeonunwa market, Relief market, Amakohia market, Egbeda market in Owerri metropolis, Imo State. A total of three hundred and twenty samples of spinach, cabbage, lettuce, carrot, green beans, green peppers, garden egg and tomatoes were collected. Forty samples per each vegetable type were collected in the study, while ten samples per vegetable were collected from every quadrant (market). The presence of helminthes parasites in the vegetable were determined using floatation, sedimentation and microscopy methods. One hundred questionnaire were administered to 100 vegetable marketers in order to evaluate hygienic practices during sourcing, transportation and retailing of vegetables. In all, 29(9.06%) vegetables were contaminated with one parasite or the other, consisting of strongyle egg 5(1.56%), Taenia egg 4(1.25%), Nematode larvae 17(5.31%), Ancyloestoma egg 1(0.31%) and Ascaris lumbricoides egg 2(0.62%). Based on the type of vegetable, cabbage and lettuce each had 5(12.5%) parasites, while carrot and green beans had 2(5.0%) and 17(42.5%) respectively. Ekeonunwa market recorded the highest contamination of 9(11.25%) parasite, followed by Relief Market 7(8.75%), Amakohia Market (Orie Onumiri Market) 5(6.25%) while Egbeada Market (Rochase Market) had least contamination rate of 8(10.0%). There was no statistically significant association between parasites isolation and the market location. The study revealed that raw vegetables as sold in market could be potential sources of transmission for intestinal parasites in this study and consumers of raw vegetables could be at risk of infection.

    Keyword: Intestinal Parasite, Vegetable,
  • 2025-09-08 Health and Wellbeing 2 1 69

    PREVALENCE OF SKIN DISORDERS DERMATOPHYTOSIS (RING WORM) INFECTION AMONG PRIMARY SCHOOL PUPILS IN AHIAZU MBAISE L.G.A. IMO STATE, NIGERIA


    KEYWORD: Key word: Dermatophytosis; infection; primary school; Mbaise.
    Author: ONUOHA B.C.

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    A study on the prevalence of ringworm infection among primary school pupils in Ahiazu Mbaise Local Government Area, Imo State, Nigeria was carried out between April and September, 2018 of the 120 Primary School Pupils randomly selected from three schools, over-all prevalence of 33(27.5%) was recorded. In their age-related prevalence, results revealed that age group 8-10years had the highest prevalence (38.1%) and age group 5-7 years had (31.3%) infection. Infection decreased with increase in age. Sex-related prevalence was not statistically significant (P>0.05), as males 24(32.0%) are more prone to ringworm infection than females (9.1%). No Tinea Pedis, Tinea Barbae, Tineafaciei and Tinea capitis were found during the clinical survey. A wide clinical spectrum of infectious dermatoses was higherly prevalent among the surveyed population. Sex and age were significantly associated with specific clinical types, implementation strategies of school health programmes in similar rural communities should target these skin infections with due consideration of their specific sex and age correlates. Hence, dermatophytic infections are a public health problem among the school-aged children studied.

    Key word: Dermatophytosis; infection; primary school; Mbaise.
  • 2025-09-08 Sports Science and Recreation 2 1 25

    THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON SPORTS ACTIVITIES AND THE SPORTS INDUSTRY


    KEYWORD: Keywords: Artificial Intelligence, Technology, Sports Management Information System (S-MIS).
    Author: Oyigbo, Melitus A., Dr. Okafor, Nonye , Ugwuezuonu, Linus O. & Os

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    The application and influence of artificial intelligence in the field of sports activities and the sports industry cannot be over emphasized. Artificial intelligence has been applied to all walks of life and the field of sports activities and the sports industry is no exception, such as video technology, artificial intelligence for competition and player data analysis, artificial intelligence equipment to help players train, artificial intelligence to develop tactics. Artificial intelligence (AI) is a comprehensive, piercing and cutting-edge discipline that is constantly evolving as an important area of research embedded in all fields of science, sports management information systems (S-MIS), computing and technology. Sports is an excellent field to apply AI design approaches where AI is used as a helpful tool in predicting and determining human endeavours. Numerous studies in the literature have described the impact of artificial intelligence on players and potential future players, fans media, player training, development, scouting and recruitment of athletes, and the entire sports community related to sports.

    Keywords: Artificial Intelligence, Technology, Sports Management Information System (S-MIS).
  • 2025-10-03 Science Education 2 1 6

    ARTIFICIAL INTELLIGENCE AS A FACTOR OF INTEREST FOR ENHANCING ACADEMIC ACHIEVEMENT IN INTEGRATED SCIENCE EDUCATION IN THE NEW ERA


    KEYWORD: Keywords: Integrated Science Education, Academic Achievement, Artificial Intelligence.
    Author: Ozioko, S.U, (Ph.D), Azubuike, E.N. & Ugwu, D.U.

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    Education is an instrument per excellence for nurturing the growth and development of a nation as well as human beings. The growth and development of science education has been enhanced by the artificial intelligence. Artificial Intelligence (AI) is the utilization of computers and robots to perform the task that is meant for human intellectual processes. Artificial Intelligence has contributed immensely in the globalization of science education as well as researches and learning. Artificial intelligence has dominated all the human activities such as education, industries and communication. This paper therefore examined the difference between natural/human and artificial intelligence. Furthermore, it critically assessed the challenges and ethical issues in utilization of artificial intelligence in integrated science education. Prospect and challenges of application of artificial intelligence in science education were comprehensively X-rayed. Recommendations were made on how to utilize artificial intelligence to enhance academic achievement of students in integrated science education.

    Keywords: Integrated Science Education, Academic Achievement, Artificial Intelligence.
  • 2025-09-08 Science Education 2 1 28

    TEACHING AND LEARNING OF PHYSICS EDUCATION: THE ROLE OF ARTIFICIAL INTELLIGENCE


    KEYWORD: Keywords: Artificial intelligence, physics education, personalized learning, teaching challenges, instructional innovation
    Author: UGWU, D. U, CHUKWUNENYE, J. N, ERUKPEME, A. H, OZIOKO, S. U.

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    Abstract This paper examines the integration of artificial intelligence (AI) in physics education, emphasizing its potential to transform pedagogical practices and address long-standing instructional challenges. With growing recognition of physics as a foundational science, the paper identifies critical barriers to effective instruction and learning, such as abstract concepts, limited teaching resources, and inadequate teacher preparation. through a conceptual and application-based review, the authors explore how AI can enhance personalized learning, facilitate complex simulations, and support educators with data-driven insights. Challenges to AI integration, including ethical concerns, infrastructural limitations, and professional capacity, are critically assessed. Recommendations for policy, curriculum inclusion, and teacher training were also provided.

    Keywords: Artificial intelligence, physics education, personalized learning, teaching challenges, instructional innovation
  • 2025-09-08 Science Education 2 1 22

    CONCEPT MAPPING: A 21st CENTURY STRATEGY IN BIOLOGY INSTRUCTION.


    KEYWORD: Key words: Concept mapping, 21st Century Strategy, Biology instruction
    Author: Ukpai Kalu U; Onyenoro, P; Akim, Daniel I , Gambo Barko Nanbol, a

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    ABSTRACT The research investigated the use of concept mapping as a 21st century strategy in biology instruction. Descriptive survey design was adopted for the study. The study was carried out in Owerri North local government area. The population of the study was 3,943 biology students located in sixteen secondary schools in the study area. 214 SS2 students in seven secondary schools randomly selected from the population formed the sample size. Questionnaire was used as instrument for data collection. The instrument was validated as appropriate and its reliability ascertained accordingly. The researchers collected data from the seven schools designated for the survey. Data collected were subjected to arithmetic mean for analysis. The results among others revealed that concept mapping was applied in teaching especially of ambiguous topics in biology, such as Genetics and aspects of Plant evolution. And that it helped to demystify such subject matters. It was however found that most teachers lack competence in the use of concept mapping. The study among others, recommends the introduction of Artificial Intelligence (AI) to help mentor the regular class room teachers in the use of concept mapping as a strategy in 21st century biology instruction.

    Key words: Concept mapping, 21st Century Strategy, Biology instruction
  • 2025-09-08 Science Education 2 1 22

    PROBLEMS AND SOLUTIONS OF TEACHING AND LEARNING OF MATHEMATICS COURSES USING GOOGLE CLASSROOM PLATFORM IN A.I.F.U.E., OWERRI


    KEYWORD: Keywords: Google Classroom, Mathematics Education, Online Learning, Student Achievement, Teaching Strategies
    Author: Uzoma Alwell, Ikechukwu Uzoma Innocent, Isaac Adekunle Ogunleke,

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    This study investigated the problems and solutions associated with using the Google Classroom platform to teach and learn mathematics courses in Alvan Ikoku Federal University of Education (A.I.F.U.E.), Owerri. Four research questions guided the descriptive survey design. The population comprised lecturers and students from 100 to 400 level in the Mathematics Department at A.I.F.U.E., Owerri (N=71). This comprised all 53 students and 15 lecturers who taught them mathematics courses using Google Classroom platform. A researcher-made questionnaire was used for data collection and analysed using mean scores to answer the research questions. The findings revealed problems such as inadequate Google Classroom-enabled devices, unreliable internet, lack of training on effective platform use, and difficulties assessing student progress. Solutions included providing adequate devices, ensuring reliable internet, organizing training workshops, and developing strategies for student assessment and feedback. The study concluded that while Google Classroom has potential to enhance mathematics education, problems need addressing. Recommendations include adequate provision of devices, reliable internet, training for lecturers and students, and developing assessment strategies to ensure effective teaching and learning using Google Classroom in A.I.F.U.E., Owerri.

    Keywords: Google Classroom, Mathematics Education, Online Learning, Student Achievement, Teaching Strategies
  • 2025-10-03 Mathematics and Statistics 2 1 6

    PROBLEMS AND SOLUTIONS OF TEACHING AND LEARNING OF MATHEMATICS COURSES USING GOOGLE CLASSROOM PLATFORM IN A.I.F.U.E., OWERRI


    KEYWORD: Google Classroom; Mathematics Education; Online Learning; Student Achievement; Teaching Strategies
    Author: Uzoma Alwell; Ikechukwu Uzoma Innocent; Isaac Adekunle Ogunleke;

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    This study investigated the problems and solutions associated with using the Google Classroom platform to teach and learn mathematics courses in A.I.F.U.E., Owerri. Four research questions guided the descriptive survey design. The population comprised lecturers and students from 100 to 400 level in the Mathematics Department at A.I.F.U.E., Owerri (N=71). A sample of 53 students and 15 lecturers was selected using simple random sampling. A researcher-made questionnaire was used for data collection and analysed using mean scores to answer the research questions. The findings revealed problems such as inadequate Google Classroom-enabled devices, unreliable internet, lack of training on effective platform use, and difficulties assessing student progress. Solutions included providing adequate devices, ensuring reliable internet, organizing training workshops, and developing strategies for student assessment and feedback. The study concluded that while Google Classroom has potential to enhance mathematics education, problems need addressing. Recommendations include adequate provision of devices, reliable internet, training for lecturers and students, and developing assessment strategies to ensure effective teaching and learning using Google Classroom in A.I.F.U.E., Owerri.

    Google Classroom; Mathematics Education; Online Learning; Student Achievement; Teaching Strategies
  • 2025-09-08 Applied and Physical Sciences 2 1 22

    A REVIEW OF ARTIFICIAL INTELLIGENCE AND INDUSTRIAL CHEMICAL PROCESS TECHNOLOGY: INNOVATION AND OPTIMIZATION


    KEYWORD: Keywords: Artificial Intelligence, Chemical Process Optimization, Machine Learning Algorithms, Sustainable Manufacturing, Industry
    Author: ¹Odiba, O. I., ²Nwosu, M. J., ³Atama, P. O., 4 Ovie-Ekpewu, R.A.

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    Abstract: Artificial Intelligence (AI) has emerged as a transformative tool in various industries, including chemical process technology, driving innovation and optimization. This abstract delves into the intersection of AI and industrial chemical processes, highlighting key advancements, challenges, and future prospects. Leveraging AI techniques such as machine learning, neural networks, and optimization algorithms, researchers and practitioners have revolutionized traditional approaches to process design, monitoring, and control. AI enables real-time data analysis, predictive modelling, and decision-making, enhancing efficiency, safety, and sustainability in chemical manufacturing. However, integrating AI into industrial processes poses technical, regulatory, and ethical considerations. Addressing these challenges requires interdisciplinary collaboration, rigorous validation, and transparent governance frameworks. Looking ahead, AI holds immense potential to further enhance the agility, resilience, and environmental performance of industrial chemical processes, paving the way for a more intelligent and sustainable future.

    Keywords: Artificial Intelligence, Chemical Process Optimization, Machine Learning Algorithms, Sustainable Manufacturing, Industry