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The Influence of Learners? Use of Digital Collaborative Learning on Performance of Learners in Literature in Public Universities in Western Kenya.

Wanyama Martin Nyongesa Edwin Masibo Makhanu Ben Nyongesa Wekesa

Subject area: Arts, Social Sciences and Humanities  ·  Area of research: Education

Abstract

The study focused on assessing the influence of digital collaborative learning on Performance of Literature learners at Public Universities in Western Kenya. The study specific objective was to: Determine the influence of learners? use of digital collaborative learning on Performance of learners in Literature in public universities in western Kenya, The study was guided by Connectivism theory. It adopted a descriptive survey design, targeting 899 learners and 32 lecturers. A sample of 277 learners and 32 lecturers was selected using proportionate sampling techniques and census technique respectively. Data was collected using interviews and structured questionnaires. The researcher ensured validity by testing construct, criterion and content validity and reliability. This paper examined the relationship between digital learning factors? Digital Collaborative Learning and Performance in Literature among learners in public universities in Western Kenya. For learners. Digital Collaborative Learning showed a weak, non-significant relationship with performance. These findings emphasize the importance of Digital materials in enhancing student learning outcomes in literature studies, though further research is needed to fully understand this dynamic. For lecturers, the study found a statistically significant relationship between digital learning platforms and performance, explaining approximately 80.3% of the variance in performance. To enhance performance in literature education through digital learning: This includes providing access to digital resources, ensuring technological infrastructure and support, and offering professional development opportunities for educators

Keywords

Digital Learning Platforms, Digital Collaborative Learning, Performance

References

[1] Ajayi, O. P., & Ajayi, F. L. (2020). Use of online collaborative learning strategy in enhancing postgraduates’ learning outcomes in science education. Education Research and Reviews, 15(8), 504-510. doi: 10.5897/ERR2020.4023

[2] Algahtani, A. F. (2011). Evaluating the effectiveness of the digital learning experience in some universities in Saudi Arabia from male learners' perceptions. Doctoral thesis, Durham University.

[3] Anttila, M. (2021). Why people benefit from digital learning differently: The effects of psychological processes on digital learning outcomes. Information & Management, 45(80), 513-521.

[4] Barbour, M. K., LaBonte, R., Kelly, K., Hodges, C., Moore, S., Lockee, B., Trust, T., Bond, A., & Hill, P. (2020). Understanding pandemic pedagogy: Differences between emergency remote, remote, and online teaching. In State of the Nation: K-12 e-Learning in Canada. https://doi.org/10.13140/RG.2.2.31848.70401.

[5] Berchtold, A. (2016). Test-retest: Agreement or reliability? Methodological Innovations, 1(12), 34-35.

[6] Boyd, D. M., & Ellison, N. B. (2017). Motivational factors in self-directed informal learning from online learning resources. Cogent Education, 3(1), 120-583.

[7] Cheng, K. A. (2016). Research study on learners‟ level of acceptance in applying digital learning for business courses – A case study on a technical college in Taiwan. Journal of American Academy of Business, 8(2), 265-270.

[8] Class Project (1984-85 VICTERS, 2001). A comparative analysis of student motivation in traditional classroom and digital learning courses. International Journal on Digital learning, 6(3), 413-432.

[9] EKLAVY National Curriculum Framework (NCF). ( 2005). A channel of curriculum for 2003.

[10] El Mhouti, A., Nasseh, A., &Erradi, M. (2013). How to evaluate the quality of digital learning resources. International Journal of Computer Science Research and Application, 3(3), 27-36.

[11] George, G., Johnson, J., & Reddy, R. (2021). The role of ICT in teaching and learning with special reference to Indian education system: A narrative review of the literature. Turkish Online Journal of Qualitative Inquiry, 12, 2132-2143.

[12] Gupta, A. (2017). Digital learning strategies for delivering knowledge in the digital age. Internet and Higher Education, 5, 185-188.

[13] Habib, A. M., Dayyab, M. F., Iliyasu, G., & Habib, G. A. (2021). Knowledge, attitude and practice survey of COVID-19 pandemic in Northern Nigeria. PLoS ONE 16(1): e0245176. https://doi.org/10.1371/journal.pone.0245176

[14] .

[15] Harasim, M. (2012). Integrating educational technology into teaching. (5th Edition ed.) Boston, MA: Allyn & Bacon.

[16] Italian Electronic Classroom. (2019). Digital learning strategies for delivering knowledge in the digital age. Internet and Higher Education, 5, 185-188.

[17] Kaur, V. (2019). Research methodology. Knowledge-Based Dynamic Capabilities,77-112.

[18] Keane, K. (2012). Cell phones in the classroom: Teachers' perspectives of inclusion, benefits, and barriers. Computers in the Schools, 30(4), 295-308.

[19] Klein, D., & Ware, M. (2003). E-learning: New opportunities in continuing professional development. Learned Publishing, 16(1) 34-46.

[20] Kothari, L. (2014). Chapter three: Research methods, quantitative & qualitative approaches. Doctoral thesis. Nairobi Press.

[21] Lucas, M., & de Freitas Goncalve, A. (2017a). Bridging formal and informal learning – A case study on learners‟ perceptions of the use of social networking tools. Learning in the Synergy Learning in the Synergy of Multiple Disciplines, 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, Nice, France, September 29 - October 2, 2009, Proceedings. doi:10.1007/978-3-642-04636-0_31

[22] Lucas, M., & de Freitas Goncalve, A. (2017). Motivational factors in self-directed informal learning from online learning resources. Cogent Education, 3(1), 1205838.

[23] Lucas, M., & Moreira, A. (2019). Bridging formal and informal learning – A case study on learners‟ perceptions of the use of social networking tools. Learning in the Synergy of Multiple Disciplines, Cress, U., Dimitrova, V., Specht, M. (Eds.). Springer, Germany. 325–337.

[24] Marc, J. R. (2022). Digital learning strategies for delivering knowledge in the digital age. Internet and Higher Education, 5, 185-188.

[25] Mfaeka, N. (2021). “Chapter Three: Research methods, quantitative & qualitative approaches.” University of Arusha Business School.

[26] Muuro, E. M., Wagacha, W. P., Oboko, R., & Kihoro, J. (2020). Learners’ perceived challenges in an online collaborative learning environment: A case of higher learning institutions in Nairobi, Kenya.

[27] National Mission on Education through Information and Communication Technology (NMEICT). (2019).

[28] Purushothaman, K., & Stella, M. (2014). Motivational factors in self-directed informal learning from online learning resources. Cogent Education, 3(1), 1205838.

[29] Roblyer, M. D., & Doering, A. H. (2010). Integrating educational technology into teaching. (5th Edition ed.) Boston, MA: Allyn & Bacon.

[30] Rossi, P. G. (2009a). Learning environment with artificial intelligence elements. Journal of Digital learning and Knowledge Society, 5(1), 67-75.

[31] Rossi, P. G. (2009b). A comparative analysis of student motivation in traditional classroom and digital learning courses. International Journal on Digital learning 6(3), 413-432.

[32] Rovai A., Ponton, M., Wighting, M., & Baker, J. (2007). A comparative analysis of student motivation in traditional classroom and digital learning courses. International Journal on Digital learning 6(3), 413-432.

[33] Siemens, G., & Tittenberger, P. (2019). Classification of learning outcomes: Evidence from the computer games literature. The Curriculum Journal, 16(4), 455-474.

[34] Song, D., & Bonk, J. C. (2016). Motivational factors in self-directed informal learning from online learning resources. Cogent Education, 3(1), 120-583.

[35] Wang, Z., Wang, Y., & Haggerty N., (2008). Why people benefit from digital learning differently: The effects of psychological processes on digital learning outcomes. Information &Management, 45(80), 513-521.

[36] Yaghmale, F. (2003). Content validity and its estimations. Journal of Medical Education, 3(1), 25-27.

How to cite this paper

Wanyama Martin Nyongesa, Edwin Masibo Makhanu, Ben Nyongesa Wekesa "The Influence of Learners? Use of Digital Collaborative Learning on Performance of Learners in Literature in Public Universities in Western Kenya." Iconic Research And Engineering Journals Volume 8 Issue 2 2024 Page 240-252
Wanyama Martin Nyongesa, Edwin Masibo Makhanu, Ben Nyongesa Wekesa "The Influence of Learners? Use of Digital Collaborative Learning on Performance of Learners in Literature in Public Universities in Western Kenya." Iconic Research And Engineering Journals, vol. 8, no. 2, Aug. 2024
Wanyama Martin Nyongesa, Edwin Masibo Makhanu, Ben Nyongesa Wekesa (2024). The Influence of Learners? Use of Digital Collaborative Learning on Performance of Learners in Literature in Public Universities in Western Kenya.. Iconic Research And Engineering Journals, 8(2).
Wanyama Martin Nyongesa, Edwin Masibo Makhanu, Ben Nyongesa Wekesa "The Influence of Learners? Use of Digital Collaborative Learning on Performance of Learners in Literature in Public Universities in Western Kenya." Iconic Research And Engineering Journals, vol. 8, no. 2, Aug. 2024.
@article{1706142,
      author = {Wanyama Martin Nyongesa, Edwin Masibo Makhanu, Ben Nyongesa Wekesa},
      title = {The Influence of Learners? Use of Digital Collaborative Learning on Performance of Learners in Literature in Public Universities in Western Kenya.},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {2},
      pages = {240-252},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706142.pdf},
      abstract = {The study focused on assessing the influence of digital collaborative learning on Performance of Literature learners at Public Universities in Western Kenya. The study specific objective was to:  Determine the influence of learners? use of digital collaborative learning on Performance of learners in Literature in public universities in western Kenya, The study was guided by Connectivism theory. It adopted a descriptive survey design, targeting 899 learners and 32 lecturers. A sample of 277 learners and 32 lecturers was selected using proportionate sampling techniques and census technique respectively. Data was collected using interviews and structured questionnaires. The researcher ensured validity by testing construct, criterion and content validity and reliability.  This paper examined the relationship between digital learning factors? Digital Collaborative Learning and Performance in Literature among learners in public universities in Western Kenya. For learners. Digital Collaborative Learning showed a weak, non-significant relationship with performance. These findings emphasize the importance of Digital materials in enhancing student learning outcomes in literature studies, though further research is needed to fully understand this dynamic. For lecturers, the study found a statistically significant relationship between digital learning platforms and performance, explaining approximately 80.3% of the variance in performance. To enhance performance in literature education through digital learning: This includes providing access to digital resources, ensuring technological infrastructure and support, and offering professional development opportunities for educators},
      keywords = {Digital Learning Platforms, Digital Collaborative Learning, Performance},
      month = {August},
  }