Work place: Department of Computer Science, Federal College of Wildlife Management, New Bussa, Niger State, Nigeria
E-mail: ericooleric@gmail.com
Website:
Research Interests: Artificial Intelligence, Data Mining, Data Structures and Algorithms
Biography
Eric A. IRUNOKHAI studied Computer Science and graduated with a B.Sc. (Hons) from Olabisi Onabanjo University in 2010, obtained a Master’s degree in Computer Science from Ahmadu Bello University, Zaria in 2017. He has working experience as a programme analyst with Forestry Research Institute of Nigeria and currently a lecturer at the Federal College of Wildlife Management, New Bussa. Also Trained on Network Support Professional on Comptian and Cisco Certified Network Associate (CCNA). Research interest includes Algorithms, data mining and artificial intelligence.
By Joseph O. ADIGUN Eric A. IRUNOKHAI John O. ONIHUNWA Yusuf A. SADA Caleb A. JEJE Yetunde M. AREO Abolaji O. ILORI
DOI: https://doi.org/10.5815/ijieeb.2022.01.03, Pub. Date: 8 Feb. 2022
Appraisal of lecturers’ effectiveness on teaching performance is an administrative duty of educational administrators which is intended to ascertain whether or not lecturers are performing their duty adequately. Most existing appraisal systems (especially in Nigeria) are superior based thus preventing the students that are direct recipients of lecturers’ output to evaluate the teaching competencies of their lecturers. Also, appraisal results that are students’ based are reported questionable in terms of its validity and reliability as the outcome of the evaluation reported biased assessment due to lecturers’ coercion of students into giving falsified evaluation reports or intentional falsification of judgements about a lecturer by sets of students. This study developed a system for students’ appraisal on teaching performance of lecturers (SATP) characterised by support for reduction of students’ partiality and prejudice during appraisal on lecturers’ effectiveness. Domain Driven Design was employed in designing the SATP client-server architecture and its framework. The SATP was programmed using HTML, CSS, JavaScript and PHP. Afterwards, 60 students were allowed to use the system to evaluate 6 lecturers in computer science department, Federal College of Wildlife Management which serves as the purposively selected research domain. The evaluation data obtained from the system were statistically evaluated to determine SATP performance (suitability, effectiveness and ability to detect falsified evaluation) using t-test at 0.10 level of significance. The results of performance evaluation revealed that SATP was found to be visually suitable and effective for lecturers’ evaluation. More so, evaluation data reported as not been falsified by SATP also recorded insignificant differences (∆μ = 0.36, p>0.10) in first and second evaluation while evaluation data reported as been falsified by SATP recorded significant differences (∆μ = 12.22, p<0.10) in first and second appraisal (evaluation). The study concluded that the result of evaluation of lecturers retrieved from the developed SATP is valid and recommend the adoption of the system in tertiary institutions as it will improve the excellence of educators and academics in tertiary institutions.
[...] Read more.By Joseph O. ADIGUN Eric A. IRUNOKHAI Oluwafemi A. ADENIJI Yetunde M. AREO John O. ONIHUNWA Yusuf A. SADA Caleb A. JEJE
DOI: https://doi.org/10.5815/ijeme.2021.05.02, Pub. Date: 8 Oct. 2021
This study was carried out in New Bussa, Niger state, Nigeria to test the infallibility of the contention that coronavirus outbreak and suspension of physical educational services that accompanies its outbreak will positively or negatively affect demand for and adoption of electronic education (e-education) by students of various educational institutions in Nigeria. The study adopted an online survey made available via Google form to residents of the study area. Furthermore the online survey was accompanied by personal interview of school administrators and tertiary institution students. The survey questionnaire was made accessible to participants that were encouraged to fill the questionnaire online between 18th of October and 10th of November, 2020. The data retrieved were analysed using descriptive statistics and t-test. It was found that demand for and adoption of e-education through software resources was not significantly affected by coronavirus outbreak (μduring=3.90, μbefore=3.72, p>0.05), while e-education through radio and television broadcast was found to be significantly affected by coronavirus outbreak (μduring=4.83, μbefore=4.53, p<0.05). Level of income (as such, high cost of data) was found to have effect on demand for and adoption of e-education software resources. Furthermore, social media channels and generalised software applications (with reduced or no cost of data) were found to be the most adopted software resources at the expense of proprietary e-education software resources. It is therefore recommended that Nigerian government should find a way to reduce internet access cost to enable effective adoption of electronic education through mobile and website applications.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals