Assessing Teachers and Students Perception of Computer Adaptive Testing (CAT) in Educational Assessment in Senior Secondary Schools in Owerri, Imo State

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Ifeoma R Ezechukwu
Victor N. Ordua
David O. Ojedapo
Tina U. Otumegwu

Abstract

Despite many advantages of Computer Adaptive Testing (CAT) and its wide adoption some stakeholders particularly teachers and students are reluctant to transit from paper-based testing to computer-based testing. This study assessed teachers and students perception of Computer Adaptive Testing (CAT) in educational assessment in senior secondary schools in Owerri, Imo State. The study adopted non-experimental design. Population of the study comprised 830 SS3 students and 152 Teachers in senior secondary schools. Simple random sampling technique was used to select 120 SS3 students and 35 teachers from five schools. Four research questions and two hypotheses were developed for the study. Two research instruments titled “Teachers’ Perception of Computer Adaptive Testing and its Challenges Questionnaire” (TPCATCQ) and “Students’ Perception of Computer Adaptive Testing and its Challenges Questionnaire” (SPCATCQ) were developed and used for data collection. The instruments were face and content validated by two experts. Cronbach Alpha reliability coefficient was used to determine the instruments which yielded reliability coefficients of 0.82 and 0.86. Mean and standard deviation were used to answer the research questions while t-test was used to test the hypotheses. The results revealed among others that both teachers and students had positive perception towards Adoption of Computer Adaptive Testing (CAT) in educational assessment. The study concluded that Computer Adaptive Testing (CAT) in educational assessment in Senior Secondary Schools is indispensible. Based on these findings, it was recommended that State government should ensure that Computer Adaptive Testing (CAT) in educational assessment is encouraged by providing necessary infrastructures.

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References

Abubakar, S. A. and Adebayo, O. F. (2014). Using computer based test method for the conduct of examination in Nigeria: Prospects, challenges and strategies. Mediterranean Journal of Social Sciences, 5(2), 47-55.

Benabdallah, G., & Bourgault, S. (2021). Remote learners, home makers: How digital fabrication was taught online during a pandemic. Conference on Human Factors in Computing Systems - Proceedings. https:// doi. org/ 10. 1145/ 34117 64. 34454 50

Boevé, A. J., Meijer, R. R., Albers, C. J., Beetsma, Y., & Bosker, R. J. (2015). Introducing computer-based testing in high-stakes exams in higher education: Results of a field experiment. Plos ONE, 10(12), 1-13. doi:10.1371/journal.pone.0143616

Cavas, B., Cavas, P., Karaoglan, B., & Kisla, T. (2019). A study on science teachers' attitudes toward information and communications technologies in education, Turkish Online Journal of Educational Technology, 8(2), 20–32.

Ejimaji, E. U. & Ojedapo, D. O. (2017). Fundamental of educational measurement and evaluation. Omoku: Jef – Printing and Publishing Co.

Ekpenyong, L.E., Ogbeide, I.G. & Robinson, O.O. (2012). Emerging Challenges in Information and Communication Technology in Business Education. Association of Business Educators of Nigeria Book for Readings, 2(1), 20-34.

Empirica, L. (2016). Benchmarking access and use of I.C.T in European schools: Teacher and classroom teacher surveys in 27 European countries. Germany: European Commission.

Ezechukwu, I. R., Ihiegbulem, O. T., Nwaji, O. J., Ejimaji, E. U., Ojedapo, D. O. & I. B. F. Ukofia (2020). Research methodology: Tools and techniques. Owerri: Cape publishers.

Flowers, C., Kim, D. H., Lewis, P., & Davis, V. C. (2011). A comparison of computer-based testing and pencil-and-paper testing for students with a read-aloud accommodation. Journal of Special Education Technology, 26(1), 1-12.

Grant, M., Tamim, S., Brown, D., Sweeney, J., Ferguson, F., & Jones, L. (2015). Teaching and learning with mobile computing devices: Case study in K-12 classrooms. Techtrends: Linking Research Practice to Improve Learning, 59(4), 32-45.

Greene, J. A., Moos, D. C., & Azevedo, R. (2011). Self-regulation of learning with computer based learning environments. New Directions for Teaching & Learning, 20(3), 107-115. doi:10.1002/tl.449.

Jamil, M., Tariq, R. H., & Shami, P. A. (2012). Computer-Based versus Paper-Based Examinations: Perceptions of University Teachers. Journal of Educational Technology-JET, 11(4), 371-381.

Jeong, H. (2014). A comparative study of scores on computer-based tests and paper-based tests. Behaviour & Information Technology, 33(4), 410-422.

Jiao, H., Macready, G., Liu, J & Cho, Y (2012). A mixture rasch model – based computerized adaptive test for latent class identification. https://doi.org/10.1177/0146621612450068.

Jimoh, R. G., Shittu, A. J. K., &Kawu, Y. K. (2012). Students’ perception of computer-based test (CBT) for examining undergraduate chemistry courses. Journal of Emerging Trends in Computing and Information Sciences, 3(2), 125-134.

Oduntan, O. E., Ojuawo, O. O. & Oduntan, E. A. (2015). A comparative analysis of student performance in Paper Pencil Test (PPT) and Computer Based Test (CBT) Examination System. Research Journal of Educational Studies and Review, 1(1), 24-29.

Ojerinde, D. (2014). Innovations in assessment JAMB experience. A keynote address presented at the 16th Annual National Conference of the Association of Education Researchers and Evaluation of Nigeria (ASSEREN) at Calabar on 15th July.

Nwana, O. C. (2008). Introduction to educational research (rev.ed). Ibadan: HEBN Publishers Plc.

Sirghea, A. (2020). Is connectivism a better approach to the digital age? In I. Liliya (Ed.), Proceedings of the International Conference Digital Age: Traditions, Modernity, and Innovations (ICDATMI 2020) (pp. 151–155).

Vin-Mbah, F.I. (2012). Learning and teaching Methodology. Journal of Educational and Social Research, 2 (4), 111.

Worrell, J., Duffy, M. L., Brady, M. P., Dukes, C., & Gonzalez-DeHass, A. (2016). Training and generalization effects of a reading comprehension learning strategy on computer and paper-pencil assessments. Preventing School Failure, 60(4), 201- 217.