Assessing Students’ Learning Attitude and Academic Performance Through m-Learning During the COVID-19 Pandemic

Authors

  • Bamidele Aremu Federal University Oye Ekiti
  • Olufemi Adeoluwa Ekiti State University, Ado Ekiti

DOI:

https://doi.org/10.21432/cjlt28085

Keywords:

academic performance, learning attitude, COVID-19 pandemic, m-learning

Abstract

This study aimed to assess college of education students’ learning attitude and academic performance in using m-learning during the COVID-19 pandemic. The study employed a pre-test and post-test experimental research design with 50 students from the College of Education, Ikere Ekiti, Nigeria. Two research instruments were used to collect data from the participants on two occasions. The first instrument was a students’ attitude questionnaire that measured the attitude of the participants towards learning. The second instrument was the students’ academic performance test that measured the students’ scores. The differences between pre- and post-tests were measured through independent t-test. Demographic data are presented in a bar chart and show that the majority of the students own mobile devices that were suitable for learning; that the majority of the students used mobile devices for learning; and that all the respondents in the experimental group possessed mobile devices with the Zoom app. The pre-test findings revealed no significant differences in the attitude and performance of students towards m-learning and traditional learning (p>0.005) while the post-test findings showed significant differences in the attitude and performance of students towards m-learning and traditional learning (p<0.005). These findings suggest that m-learning should be integrated into the school curriculum.

Author Biographies

Bamidele Aremu, Federal University Oye Ekiti

Bamidele V. Aremu, is a postgraduate student in the Department of Vocational and Technical Education, Ekiti State University, Ado-Ekiti, Nigeria. His research interest centers on learning management systems. He teaches educational technology courses at the Faculty of Education, Federal University Oye Ekiti, Nigeria.

Olufemi Adeoluwa, Ekiti State University, Ado Ekiti

Olufemi V. Adeoluwa, PhD, is a full professor in the Department of Vocational and Technical Education, Ekiti State University, Ado-Ekiti, Nigeria. He is currently the Vice Chancelor of Bamidele Olumiluwa University of Education, Science and Technology, Ikere Ekiti, Nigeria.

References

Adavbiele, J. A. (2015). Implications of incessant strike actions on the implementation of technical education programme in Nigeria. Journal of Education and Practice, 6(8), 134-139. https://files.eric.ed.gov/fulltext/EJ1082726.pdf

Adedoja, G., Botha, A., & Ogunleye O. S. (2012). The future of mobile learning in the Nigerian education system. IST-Africa 2012 conference proceedings, IST-Africa Paper Repository. https://doi:10.13140/RG.2.1.4568.0725

Agabi, C. O. (2012). Education as an economic investment. International Journal of Scientific Research in Education, 5(1), 1-11. http://www.ijsre.com

Agbo, L. P., Nwafor, S. C., & Odukwe, O. C. (2021). Engagement in mobile learning as a correlate of academic performance among science education students in public universities in Enugu State, Nigeria. European Journal of Training and development Studies, 8(2), 1-10.https://www.eajournals.org/journals/european-journal-of-training-and-development-studies-ejtds/vol-8-issue-2-2021/engagement-in-mobile-learning-as-a-correlate-of-academic-performance-among-science-education-students-in-public-universities-in-enugu-state-nigeria/

Aina, J. K., & Opeyemi, A. O. (2020). Mitigating the impact of COVID-19 on the teaching and learning of Science in the Nigerian higher education. International Journal of Research and Innovation in Social Science, 4(6), 334-337. https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-4issue-6/334-337.pdf

Aiyende, O., & Omojola, O. (2021). Influence of social media on the academic performance of students: A study of University of Port Harcourt, Nigeria. Samaru Journal of Information Studies, 2(1), 13-23. https://www.ajol.info/index.php/sjis/article/view/217868

Akinleke, O. W., & Omowunmi, O. J. (2017). Analysis of the attitude of college students towards mobile phone usage in Nigeria. International Journal of Education, Learning and Development,5(6), 1-19. https://www.eajournals.org/wp-content/uploads/Analysis-of-the-Attitude-of-College-Students-towards-Mobile-Phone-Usage-in-Nigeria.pdf

Alaba, O., Abass, O., & Igwe, E. (2020). Mobile learning via mobile devices in Nigeria higher education: Usage analysis based on UTAUT model. The Journal of the Southern Association for Information System, 7(1), 1-14. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1025&content=jsais

Alabi, T. O., Falode, O. C., & Ilobeneke, S. C. (2019). Effect of technology supported instructional platforms on undergraduate students’ attitude towards Educational Technology in public Universities in Nigeria. African Research Journal of Education and Social Sciences,6(2), 8-17. http://www.repository.futminna.edu.ng

Al-Emram, M., & Salloum, S.A. (2017). Students’ attitude towards the use of mobile technologies in e-Evaluation. International Journal of Interaction Mobile Technology, 11(5), 195-202. https://online-journals.org/index.php/i-jim/article/view/6879

Al-Osail, A. M., & Al-Wazzah, M. J. (2017). The history and epidemiology of Middle East respiratory syndrome Corona virus, Multidisciplinary Respiratory Medicine, 12(20), 1-6. https://mrmjournal.biomedcentral.com/articles/10.1186/s40248-017-0101-8

Amani, P., Badar, M., & Odeka, T. (2020). Nigeria educational sector COVID-19 response strategy in North East. https://reliefweb.int/sites/reliefweb.int/files/resources/nigeria_education_sector_covid-19_response_strategy_north_east_.pdf

Aremu, B. V. (2021). The use of mobile learning to improve students’ motivation and the achievement of learning outcomes. Kampala International University Journal of Humanities, 6(2), 175-183. https://www.ijhumas.com/ojs/index.php/kiuhums/article/view/1266

Aremu, B. V., & Adeoluwa, O. V. (2021). M-learning: A nexus for adult learners’ motivation and readiness to learn in federal universities at Southwest, Nigeria. Journal of Digital Educational Technology, 2(1), 1-7. https://www.jdet.net/article/m-learning-a-nexus-for-adult-learners-motivation-and-readiness-to-learn-in-federal-universities-at-11361

Asiimwe, E. N., Grönlund Å., & Hatakka, M. (2017). Practices and challenges in an emerging m-learning environment. International Journal of Education and Development using Information and Communication Technology, 13(1), 103-122. https://files.eric.ed.gov/fulltext/EJ1142272.pdf

Ayeni, T. (2020). Coronavirus: death of Nigeria’s Chief of Staff sheds light on conflicting rules. https://www.theafricareport.com/26588/Coronavirus-death-of-nigerias-chief-of-staff-sheds-light-on-conflicting-rules/

Baker, R. S. (2016). Stupid tutoring systems, intelligent humans. International Journal of Artificial Intelligence in Education, 26(2), 600–614.https://link.springer.com/article/10.1007/s40593-016-0105-0

Brown, F. G. (1971). Measurement and evaluation. F.E. Peacock Publishers Incorporated.

Brown, T. H. (2005). Towards a model for m-learning in Africa. International Journal on E-learning, 4(3), 299-315. https://www.cin.ufpe.br/~mlearning/intranet/m-learning/Towards%20a%20model%20for%20m-learning%20in%20Africa.(mobile%20learning).pdf

Bukharaev, N., & Altaher, A. W. (2017). Mobile learning education has become more accessible. American Journal of Computer Science and Information,5(2), 79-83. https://www.imedpub.com/articles/mobile-learning-education-has-become-more-accessible.php?aid=21566

Bull, S. (2004). Supporting learning with open learner models. 4th Hellenic Conference with International Participation: Information and Communication Technologies in Education, Athens: Greece. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.63.4463&rep=rep1&type=pdf

Bull, S., & Kay, J. (2016). SMILI: A framework for interfaces to learning data in open learner models, learning analytics, and related fields. International Journal of Artificial Intelligence in Education, 26(1), 293–331. https://link.springer.com/article/10.1007/s40593-015-0090-8

Check, J., & Schutt, R. K. (2012). Research methods in education. Sage.

Dagogo, W. L. (2021). Digitalization of teaching and learning in Nigeria amid COVID-19 pandemic: Challenges and lessons for education 4.0 and 4IR. International Journal of Sciences and Research, 77(10), 156-178. http://doi:10.21506/j.ponte.2021.10.10

Egere, I. K. (2021). M-learning: Survey on academic performance of undergraduate students during COVID-19 pandemic lockdown in Nigeria. International Journal of Pedagogy, Policy, and ICT in Education, 9(2021), 1-30. https://www.ajol.info/index.php/ijp/article/view/217318

Eladham, N. A., & Awad, I. A. (2017). Cell phone usage, attitude and academic achievement among primary and preparatory school student. IOSR Journal of Nursing and health Science,6(6), 19-26. https://www.iosrjournals.org/iosr-jnhs/papers/vol6-issue6/Version-6/D0606061926.pdf

Forenbacher, I., Husnjak, S., Cvitić, I., & Jovović, I. (2019). Determinants of mobile phone ownership in Nigeria. Telecommunications Policy, 43, 1-12. https://doi.org/10.1016/j.telpol.2019.03.001

Giovanetti, M., Benvenuto, D., Angeletti, S., & Ciccozzi, M. (2020). The first two cases of 2019‐nCoV in Italy: Where they come from? Journal of Medical Virology, 92(5), 518-521. https://onlinelibrary.wiley.com/doi/10.1002/jmv.25699

Iwayemi, A., Adegboye, O. J., & Olowokere, O. B. (2021). Towards a robust mobile learning framework for Nigerian higher institutions using a hybrid system. Journal of Science and Technology Research, 3(2), 162-177. https://nipesjournals.org.ng/wp-content/uploads/2021/06/NJSTR_2021_5_19-m.pdf

Jivet, I., Scheffel, M., Specht, M., & Drachsler, H. (2018). License to evaluate: Preparing learning analytics dashboards for educational practice. LAK ’18, March 5–9, 2018, Sydney, NSW, Australia. http://doi:10.1145/3170358.3170421

Kant, R. (2016). Use of mobile phones by students: practices and attitude. Review of Research, International Online Multidisciplinary Journal,5(6), 1-7. https://www.researchgate.net/publication/299597879_USE_OF_MOBILE_PHONE_BY_STUDENTS_PRACTICES_ATTITUDE

Kay, J. (1997). Learner know thyself: Student models to give learner control and responsibility. Control and Responsibility: International Conference on Computers in Education, AACE, 17—24. http://doi.org/10.1.1.1090.6188

Kay, J. (1999). A scrutable user modelling shell for user-adapted interaction. Doctoral dissertation, Department of Computer Science, University of Sydney.

Klimova, B. (2019). Impact of mobile learning on students’ achievement results. Education Sciences, 9(2), 90-98. https://www.mdpi.com/2227-7102/9/2/90

Klimova, B., & Poulova, P. (2016). Mobile learning in higher education. Advanced Science Letters, 22(5), 1111-1114. https://doi.org/10.1166/asl.2016.6673

Korucu, A. T., & Bicer, H. (2018). Investigation of posrgraduate students’ attitude towards mobile learning and opinions on mobile learning. International Technology and Education Journal, 2(1), 21-34. https://files.eric.ed.gov/fulltext/EJ1301425.pdf

Miller, H. B., & Cuevas, J. A. (2017). Mobile learning and its effects on academic achievement and student motivation in middle grades students. International Journal for Scholarship of Technology Enhanced Learning, 1(2), 91-110. https://digitalcommons.northgeorgia.edu/cgi/viewcontent.cgi?article=1088&context=ungauthors

Mugo, D. G., Njagi, K., & Chemwei, B. (2017). Technological preferences, levels of utilization and attitude of studentstoward the use of mobile technologies in chartered universities, Kenya. International Journal of Education and Literacy Studies, 5(4), 98-110. https://files.eric.ed.gov/fulltext/EJ1182972.pdf

Munthali, G. N. C., & Xuelian, W. (2020). COVID-19 lockdown measures on least developing economies in Africa: A case of Malawi economy. Technium Social Science Journal, 7(1), 295-301. https://doi:10.47577/tssj.v7i1.394

Murphy, A., Farley, H., Lane, M., Hafeez-Baig, A., & Carter, B. (2014). Mobile learning anytime, anywhere: What are our students doing?. Australasian Journal of Information Systems, 18(3), 331-345. https://doi:10.3127/ajis.v18i3.1098

Nigeria Centre for Disease Control. (2020).COVID: Guidance for schools in Nigeria. https://covid19.ncdc.gov.ng/media/archives/COVID19_Guide_for_Nigeria_Schools_qiJ0B1U.pdf

Obiakor T., & Adeniran A. P. (2020). Covid-19: Impending situation threatens to deepen Nigeria’s education crisis. https://media.africaportal.org/documents/COVID19-Impending-Situation-Threatens-to-Deepen-Nigerias-Education-.pdf

Odim, O. O., Annastashia I. A., & Solomon, A. A. (2018). Effect of strikes on management and planning of educational activities in Nigerian universities. Global Journal of Educational Research, 17(1), 1-8. https://dx.doi.org/10.4314/gjedr.v17i1.1

Okorocha, C. U. (2020). The pandemicity of Coronavirus (COVID 19): A huge scourge to Nigerians. Journal of Medicine and Public Health, 1(1), 1-3. http://www.medtextpublications.com/open-access/the-pandemicity-of-coronavirus-covid-19-a-huge-scourge-to-nigerians-440.pdf

Oladele, I. S., & Molara, O.L. (2017). Investigation of undergraduate student attitude and perception of mobile technologies for learning at Federal University of Technology, Akure, Ondo State, Nigeria. European Journal of education Studies,3(7), 702-715. https://oapub.org/edu/index.php/ejes/article/view/924

Osang, F. B., Ngole, J., & Tsuma, C. (2013). Prospects and challenges of mobile learning implementation in Nigeria. Case study of National Open University of Nigeria. International conference on ICT for Africa. https://www.researchgate.net/publication/258996555_PROSPECTS_AND_CHALLENGES_OF_MOBILE_LEARNING_IMPLEMENTATION_IN_NIGERIA_CASE_STUDY_OF_NATIONAL_OPEN_UNIVERSITY_OF_NIGERIA_NOUN

Salami, D. (2021). Attitude of science education students towards the use of mobile learning in Nigeria. ATBU Journal of Science, Technology and Education,9(1), 38-43. https://www.atbuftejoste.com/index.php/joste/article/view/1192

Su, S., Wong, G., Shi, W., Liu, J., Lai, A. C., Zhou, J., & Gao, G. F. (2016). Epidemiology, genetic recombination, and pathogenesis of Coronaviruses. Trends in Microbiology, 24(6), 490-502. https://www.sciencedirect.com/science/article/pii/S0966842X16000718

Suner, A., Yilmaz, Y., & Piskin, B. (2019). Mobile learning in dentistry: usage habits, attitudes and perceptions of undergraduate students. Peer J, 7, e7391. https://dx.doi.org/10.7717%2Fpeerj.7391

Tobias, S., & Everson, H. T. (2009). The importance of knowing what you know: A knowledge monitoring framework for studying metacognition in education. In Hacker, D.J., Klosy, J., Graesser, A.C. (Eds.), Handbook of Metacognition in Education (pp. 107–127). Routledge.

Udanor, C. N., & Nwodoh, T. A. (2010). A review of m-learning models. Indian Journal of Computer Science and Engineering, 1(4), 426-435. http://www.ijcse.com/docs/IJCSE10-01-04-40.pdf

Vaidya, A., Pathak, V., & Vaidya, A. (2016). Mobile phone usage among youth. International Journal of Applied Research and Studies, 5(3), 1-16. https://doi:10.20908/ijars.v5i3.9483

World Health Organization. (February21, 2020). Coronavirus disease 2019 (COVID-19), Situation Report, 32. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200221-sitrep-32-covid-19.pdf?sfvrsn=4802d089_2

Yekini, N., Adigun, J. O., Ojo, O., & Akinwole, A.K. (2020). Assessment of e-learning and m-learning during COVID-19 lockdown in Nigeria. International Academic Journal of Education and Literature, 1(1), 28-34. https://iarconsortium.org/article/22

Zawaideh, F. H. (2017). The effect of mobile learning on the development of the students’ learning behaviors and performance at Jordanian University. International Journal of Business and Management Invention, 6(3), 1-7. https://www.ijbmi.org

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Published

2022-05-02

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