Challenges and Prospects of Virtual Method of Learning Mathematics: Analysis of Satisfaction and Needs Amongst Students of Tertiary Institutions in Kano State
Abstract
The research delved into an examination of the challenges and potential opportunities associated with virtual mathematics learning, focusing on the analysis of student satisfaction and their specific requirements within the tertiary education institutions of Kano State. The study established three primary objectives and formulated three corresponding research inquiries to guide its investigation. Employing an ex-post-facto research design, the research employed a comprehensive questionnaire as its primary data collection tool, consisting of four distinct sections: demographic information (1 – 5), student satisfaction with virtual learning (6 – 12), pre-and post-virtual learning assessments (13 – 20), and student needs regarding virtual lessons. The research population encompassed all tertiary institution students in Kano State, from which a representative sample of two hundred and fifty students was selected using a combination of stratified and simple random sampling methods. Data analysis was conducted using SPSS version 20, with descriptive statistics, particularly frequency and percentage, serving as the primary analytical tools. The findings of the study unveiled several critical insights, including the inadequacy of virtual mathematics instruction for effective teaching and learning. Notably, student dissatisfaction stemmed from inadequate teacher preparation, resulting in suboptimal learning experiences. Furthermore, there was a noticeable neglect of addressing the specific needs of learners both before and after virtual learning sessions. In light of these findings, the study puts forth several recommendations. Firstly, it suggests that virtual learning methods must be meticulously organized and rendered attractive to engage students effectively, while simultaneously providing clear guidance on the essential prerequisites. Secondly, measures must be taken to ensure consistent and stable network connectivity to minimize disruptions during virtual lessons. Additionally, the timing of virtual lessons should be optimized to create a conducive learning environment for students. Lastly, the study underscores the importance of replicating the research to examine potential variations in individual gender responses to the virtual learning method.
Full Text:
PDFReferences
Aghababaei, M., & Ardani, S. (2018). Trend of Changes in E-learning Role in Identity Changes,
Achievement Emotions and Attitude towards School between High School Students from Smart and Traditional Schools. Mod. J. Lang. Teach. Methods, 8(10), 570–586
Alhassan, R.K. (2020). Assessing the preparedness and feasibility of an e-learning pilot project for university level health trainees in Ghana: a cross-sectional descriptive survey. BMC Medical Education, 20, 1-10. Doi: 10.1186/s12909-020-02380-2
Bozkurt, A., & Sharma, R. C. (2020). Education in normal, new normal, and next normal: Observations from the past, insights from the present and projections for the future. Asian Journal of Distance Education, 15(2), i-x. https://doi.org/10.5281/zenodo.4362664
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G. Paskevicius, M. (2020). A global outlook to the interruption of education due to COVID-19 pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), 1–126. https://doi.org/10.5281/zenodo.3878572
Carle, A. C. (2009). Evaluating College Students' Evaluations of a Professor's Teaching Effectiveness across Time and Instruction Mode (Online vs. Face-to-Face) Using a Multilevel Growth Modeling Approach. Computers & Education. 53(2), 429-435
Cragg, C. E., Dunning, J., & Ellis, J. (2008). Teacher and Student Behaviors in Face-to-Face and Online Courses: Dealing with Complex Concepts. Journal of Distance Education. 22(3), 115-128.
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020, March 27). The difference between emergency remote teaching and online learning. EDUCAUSE Review. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning
Kirtman, L. (2009). Online versus In-Class Courses: An Examination of Differences in Learning Outcomes. Issues in Teacher Education. 18(2), 103-116
Kishore, M., Tabrizi, M. H. N., Ozan, E., Aziz, S., and Wuensch, K. L. (2009). Correlates of Student Preference for Online Instruction over Face-to-Face Instruction. E-Learning. 6(4), 400-415
Larson, D. K., and Sung, C.-H. (2009). Comparing Student Performance: Online versus Blended versus Face-to-Face. Journal of Asynchronous Learning Networks. 13(1), 31-42.
McGovern, G. (2004, June). Teaching Online vs, Face-to-Face. [Electronic version]. CLENExchange, Newsletter of American Library Association Continuing Education Network & Exchange Roundtable. Vol. 20 No. 4.
NCTM (2018). Catalyzing Change in High School Mathematics: Initiating Critical Conversations. Reston, VA: NCTM.
Shakah, G., Al-Oqaily, & Alqudah, F. (2019). Motivation Path between the Difficulties and Attitudes of Using the E-Learning Systems in the Jordanian Universities: Aajloun University as a Case Study. Int. J. Emerg. Technol. Learn., 14(19), 26–48
Singh D., & Stoloff, D. (2007). Effectiveness of Online Instruction: Perceptions of Pre-Service Teachers. International Journal of Technology, Knowledge & Society v2 n6 p121-124
Sipes, K. A. and Ricciardi, V, (2006) Online vs. Face to Face: Is There a Difference in How Accounting and Finance Students Learn in an Online vs. Face-to-Face Setting. SSRN. Retrieved September 9, 2010 from http://ssrn.com/abstract=894223
Ssekakubo, G., Suleman, H., & Marsden, G. (2011). Issues of adoption: Have e-learning management systems fulfilled their potential in developing countries? In Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment (pp. 231–238). Cape Town, South Africa.
Sunkara, V. M. and Kurra, R. R. (2017) An Analysis of Learner Satisfaction and Needs on E-Learning Systems. International Journal of Computational Intelligence Research ISSN 0973-1873, 13 (3), pp. 433-444
Tutty, J. I., & Klein, J. D. (2008). Computer-Mediated Instruction: A Comparison of Online and Face-to-Face Collaboration. Educational Technology Research and Development. 56(2), 101-124.
Xiao, J. (2021). Decoding new normal in education for the post-COVID-19 world: Beyond the digital solution. Asian Journal of Distance Education, 16(1), 141-155. https://doi.org/10.5281/zenodo.4818369
Zhou, Y.Z., Zhao, J., & Zhang, J.J. (2020). Prediction of learners' dropout in E-learning based on the unusual behaviors. Interactive Learning Environments, 1-25. Doi: 10.1080/10494820.2020.1857788
Zhu, X., & Chen, Z. (2020). Dual-modality spatiotemporal feature learning for spontaneous facial expression recognition in e-learning using hybrid deep neural network. Vis. Comput., 36, 743–755. Doi: 10.1007/s00371-019-01660-3
Zimmerman, J. (2020). Coronavirus and the Great Online-Learning Experiment. Chronicle of Higher Education. https://www.chronicle.com/article/Coronavirusthe-Great/248216
Refbacks
- There are currently no refbacks.