Dr WEB-BASED LEARNING AND STUDENTS' SCHOLASTIC ACCOMPLISHMENT AT NATIONAL OPEN UNIVERSITY OF NIGERIA
PDF

Keywords

Web based learning structures
students' scholarly accomplishment
distance learners
the Covid-19 Era

How to Cite

[1]
T. G. Muibi, “Dr WEB-BASED LEARNING AND STUDENTS’ SCHOLASTIC ACCOMPLISHMENT AT NATIONAL OPEN UNIVERSITY OF NIGERIA”, ITLT, vol. 99, no. 1, pp. 49–62, Feb. 2024, doi: 10.33407/itlt.v99i1.5425.

Abstract

The study examined the impact of Web based learning structures (Moodle, Blackboard, Online Library, Online Course Module/Study Guide, Internet Learning for coach student and Student - Student Connection and Times of Access of Internet Learning Applications) on students' scholarly accomplishment at the National Open University of Nigeria. The descriptive survey research design was used with a population of 100 to 400 students and a sample size of 150 students from the National Open University of Nigeria's schools of law, arts and social science, business and human resources, education, science and technology, and center for continuing education. A questionnaire with 53 questions titled: Experts validated the Online Learning and Learners' Academic Achievement in National Open University of Nigeria Scale (OLLAAS), and Cronbach's alpha yielded a reliability coefficient of 0.76. To test the hypotheses at the 0.05 level of significance, data were analyzed using Multiple Regressions and the Pearson Product Moment Correlation Coefficient. The discoveries of the review uncovered that the Internet learning structures (Moodle, Blackboard, Online Library, Online Course Module/Study Guide, Web based Learning for mentor student and Student - Student Connection and Times of Access of Web based Learning Applications) essentially impacted students' scholarly accomplishment (F (6, 143) = 24.907; R2 = 0.511), and mutually represented 49.1% of its difference. Moodle (r =.206, P0.001), Blackboard (r =.417, P0.001), the Online Library (r =.594, P0.001), the Online Course Module/Study Guide (r =.395, P0.001), online learning for tutor-learner and learner-learner interaction (r =.442, P0.001), and periods of access to online learning applications (r =.625, P0.001) all had positive correlations with students. In light of the discoveries, it was suggested that administration ought to put more in training of this season of computerized age through satisfactory financing to empower schools obtain and introduce ICT foundation. The government and all relevant stakeholders ought to address the problem of incessant power outages. Mechanical gadgets ought to likewise be made accessible to students at sponsored rates to empower everybody partake in remote learning. Web based learning meetings ought to be planned with significant and profoundly captivating and intelligent learning exercises to lessen fatigue among detached students during learning.  

PDF

References

M. Bearman, P. Dawson, R. Ajjawi, J. Tai and D. Boud, Re-imagining university Assessment in a Digital World, Cham, Switzerland: Springer, 2020. [Online]. Available: https://dokumen.pub/re-imagining-university-assessment-in-a-digital-world-1st-ed-9783030419554-9783030419561.html. (in English)

I. Bhatt and A. MacKenzie, Just google it! Digital literacy and the epistemology of ignorance. Teach. Higher Education, 2019, 24 (3), 302–317, doi:10.1080/13562517.2018.1547276. (in English)

N. Selwyn, Is technology good for education? Cambridge, England: Polity, 2016. [Online]. Available: file:///C:/Users/User/Downloads/dulude,+42078-109891-1-CE.pdf. (in English)

M. White, “Distance” in Australian higher education – A history of distance Education, 1982, 3, 255–278, doi:10.1080/0158791820030207. (in English)

D. Bewley, “Distance education in New Zealand: An historical sketch,” Journal of Distance Learning, vol. 2, no. 1, 1996. [Online]. Available: https://www.researchgate.net/publication/355189681_What_Really_Matters_Experiences_of_Emergency_Remote_Teaching_in_University_Teaching_and_Learning_During_the_COVID-19_Pandemic. (in English)

C. Seelig, A. Cadwallader and D. Standring, “Transformational change in delivery at open polytechnic,” New Zealand J. Learn. Development, vol. 6, no. 1, pp. 37–48, 2019. [Online]. Available: https://eric.ed.gov/?idEJ1212523. (in English)

A. S. Abdulamir and R. R. Hafdh, “The possible immunological pathways for the variable immunepathogenesis of COVID—19 infections among healthy adults, elderly and children,” Electronic Journal of General Medicine, vol.17, no. 4, em202. 2020. doi: https://doi.org/https://doi.org/10.29333/ejgm/7850. (in English)

C. Hodges, S. Moore, B. Lockee, T. Trust and A. Bond, “The difference between emergency remote teaching and online learning,” Educause Quarterly Review, 2020. [Online]. Available: https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote- teaching-and-online-learning (in English)

WHO, World Health Organization, 2020. [Online]. Available: https://www.who.int/southeastasia/outbreaks-and-emergencies/novelcoronavirus-2019 (in English)

UNESCO, Institute for Statistics data, COVID-19 impact on education, UNESCO, 2020. [Online]. Available: Retrieved from https://en.unesco.org/covid19/educationresponse. (in English)

UNICEF, UNICEF and Microsoft launch global learning platform to help address COVID-19 education crisis, 2020. [Online]. Available: .https://www.unicef.org/press-releases/unicef-and-microsoft-launch-global-learning-platform-help-address-covid-19- education (in English)

F. Ergulec, “Instructional strategies for forming online collaborative teams,” International Journal on E- Learning, vol. 18 no. 4, 349–372, 2019. [Online]. Available: https://www.learntechlib.org/primary/p/207505/. (in English)

R. M. Pallof and K. Pratt, Lessons from the virtual classroom, 2nd ed. Jossey-Bass, 2013. [Online]. Available: file:///C:/Users/User/Downloads/4279-32023-1-PB.pdf. (in English)

A. Bozkurt and R. C. Sharma, “Emergency remote teaching in a time of global crisis due to Corona Virus pandemic,” Asian Journal of Distance Education, vol. 15, no. 1, pp. 1-6, 2020. doi: https://doi.org/10.5281/zenodo.3778083. (in English)

S. N. Bennett, “Recent research on teaching: A dream, a belief, and a Model,” British Journal of Educational Psychology, vol. 48, pp. 127-147, 1978. doi: doi/abs/10.1111/j.2044-8279.1978.tb02379.x. (in English)

J. B. Carroll, “A model of school learning,” Teachers College Record, vol. 64, pp. 723-733, 1963. [Online]. Available: https://scirp.org/reference/referencespapers.aspx?referenceid=1223924. (in English)

R. Glaser, “Components of a psychological instruction: Toward a science of design,” Review of Educational Research, vol. 46, pp. 1-24, 1976. [Online]. Available: https://edj.ajums.ac.ir/?_action=export&rf=isc&issue=14737. (in English)

H. J. Walberg, “A psychological theory of educational productivity,” in F. H. Farley & N. Gordon, Eds. Psychological and Education, 1981, pp. 81-110, Chicago: National Society for the Study of Education. [Online]. Available: https://eric.ed.gov/?id=ED206042. (in English)

M. C. Wang, G. D. Haertel and H. J. Walberg, “Toward a knowledge base for school learning,” Review of Educational Research, vol. 63, pp. 249-294, 1993. [Online]. Available: https://files.eric.ed.gov/fulltext/ED399311.pdf. (in English)

A. R. Reynolds and H. J. Walberg, “A process model of mathematics achievement and attitude,” Journal of Research in Mathematics, vol. 23, pp. 306-328, 1992. [Online]. Available: https://www.semanticscholar.org/paper/A-Process-Model-of-Mathematics-Achievement-and-Reynolds-Walberg/3de9123567c914bc8797e58c79e8351d612fe91e. (in English)

H. J. Walberg, B. J. Fraser and W. W. Welch, “A test of a model of educational productivity among senior high school students,” Journal of Educational Research, vol. 79, pp. 133-139, 1986. [Online]. Available: https://www.jstor.org/stable/27540184 (in English)

D.L. Fisher, and C.J. McRobbie, “Development, validation and use of personal and class forms of a new classroom learning environment instrument,” in Annual Meeting of the American Educational Research Association, New York, N.Y., 1996. doi:10.1007/978-94-6209-332-4_10. (in English)

J. K. Rugutt, C. D. Ellett, and R. Culross, “Discriminating student learning and efficacy levels in higher education: Contributions of classroom environment and teaching and learning effectiveness,” Planning and Changing, vol. 34, no. 3 & 4, pp. 229-249, 2003. doi:10.1007/978-94-6209-332-4_10. (in English)

K. S. Loup, “Measuring and linking school professional learning environment characteristics, teacher self and organizational efficacy, receptivity to change, and multiple indices of school effectiveness,” Unpublished Doctoral Dissertation, Louisiana State University, Baton Rouge, Louisiana, 1994. [Online]. Available: https://repository.lsu.edu/gradschool_disstheses/5816/. (in English)

D. F. Olivier, “Teacher personal and school culture characteristics in effective schools: Toward a model of a professional learning community,” Unpublished doctoral dissertation, Louisiana State University, Baton Rouge, Louisiana, 2001. [Online]. Available: https://repository.lsu.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1302&context=gradschool_disstheses. (in English)

K.A. Feldman, “Effective college teaching from the students’ and faculty view: Matched or mismatched priorities?” Research in Higher Education, vol. 28, pp. 291-344, 1988. [Online]. Available: https://repository.lsu.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1302&context=gradschool_disstheses. (in English)

K. A. Feldman, C. A. Ethington, and J. C. Smart, “A further investigation of major field and person-environment fit: sociological versus psychological interpretations of Holland’s theory,” The Journal of Higher Education, Columbus, Ohio, vol. 72, no. 6, pp. 670-698, Nov./Dec., 2001. doi:10.1007/978-94-6209-332-4_10. (in English)

J. L. Holland, “Making vocational choices: A theory of vocational personalities and work environments,” 3rd ed. Odessa, FL: Psychological Assessment Resources, 1997. [Online]. Available: https://psycnet.apa.org/record/1997-08980-000. (in English)

A. W. Astin, What matters in college? Four critical years revisited, San Francisco: Jossey-Bass, 1993. [Online]. Available: https://eric.ed.gov/?id=ED351927. (in English)

G. D. Kuh, and S. Hu, “The effects of student-faculty interaction in the 1990s,” The Review of Higher Education, vol. 24, pp. 309-332, 2001. [Online]. Available: https://www.scirp.org/%28S%28351jmbntvnsjt1aadkposzje%29%29/reference/referencespapers.aspx?referenceid=2670612. (in English)

C. Howe, “Psychology teaching in the 21st Century,” The Psychologist, vol. 11, pp. 371-373, 1998. [Online]. Available: https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/download/910/498/. (in English)

R. Oliver and C. McLoughlin, “Exploring the practice and development of generic skills through web-based learning,” Journal of Educational Multimedia and Hypermedia, vol. 10, pp. 207-225, 2001. [Online]. Available: https://www.semanticscholar.org/paper/Exploring-the-practice-and-development-of-generic-Oliver-McLoughlin/b7eca72acf1a0587ca82ebdafafe6a8f364709a5. (in English)

N. V. Hammond and A. L. Trapp, “How can the web support the learning of Psychology?” in C. R. Wolfe Ed. Learning and Teaching on the World Wide Web, pp. 153-169, New York: Academic Press, 2001. [Online]. Available: https://olj.onlinelearningconsortium.org/index.php/olj/article/view/1648. (in English)

J. H. Krantz and B. M. Eagly, “Creating psychological tutorials on the world-wide web,” Behavior Research Methods, Instruments, and Computers, vol. 28, pp. 156-160, 1996. doi: 10.1027/1016-9040.3.3.219. (in English)

R. K. Heinssen, C. R. Glass and L. A. Knight, “Assessing computer anxiety: development and validation of the Computer Anxiety Rating Scale,” Computers in Human Behavior, vol. 3, pp. 49-59, 1987. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/0747563287900100. (in English)

J. S. Daniel and M. A. Stroud (1981). “Distance education: a reassessment for the 1980s,” Distance Education, vol. 2, no. 2, 146-61, 1981. [Online]. Available: https://files.eric.ed.gov/fulltext/ED320544.pdf. (in English)

I. T. Miura, “The relationship of computer self-efficacy expectations to computer interest and course enrolment in college,” Sex Roles, vol. 16, pp. 303-311, 1987. [Online]. Available: https://www.academia.edu/27984656/Motivation_and_ability_which_students_use_online_learning_and_what_influence_does_it_have_on_their_achievement. (in English)

P. J. Vollbrecht, K. A. Porter-Stransky, and W. L. Lackey-Cornelison, “Lessons learned while creating an effective emergency remote learning environment for students during the COVID-19 pandemic,” Advances in physiology education, vol. 44, no. 4, pp. 722 -725, 2020. doi: https://doi.org/10.1152/advan.00140.2020 (in English)

A. O. Mohmmed, B. A. Khidhir, A., Nazeer and V. J. Vijayan, “Emergency remote teaching during Coronavirus pandemic: the current trend and future directive at Middle East College Oman,” Innovative Infrastructure Solutions, vol. 5, no. 3, pp. 72, 2020. doi: https://doi.org/10.1007/s41062-020-00326-7. (in English)

R. Bhaumik and A. Priyadarshini, “E-readiness of senior secondary school learners for online learning transition amid COVID-19 lockdown,” Asian Journal of Distance Education, vol. 15, no. 1, pp. 244-256, 2020. doi: .https://doi.org/10.5281/zenodo.3891822. (in English)

J. Zimmerman, “Coronavirus and the great online-learning experiment,” Chronicle of Higher, March, 2020. [Online]. Available: https://www.chronicle.com/article/coronavirus-and-the-great-online-learning-experiment/. (in English)

N. Noddings, starting at home: Caring and social policy, University of California Press, 2020. [Online]. Available: https://www.ucpress.edu/book/9780520230262/starting-at-home (in English)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2024 Таофік Гболахан Муібі

Downloads

Download data is not yet available.