INFLUENCE OF TECHNOLOGY TYPE ON DEVELOPMENT OF INSTRUCTIONAL MATERIALS FOR DISTANCE EDUCATION
DOI:
https://doi.org/10.47941/jodl.638Keywords:
influence, technology type, development, instructional materials, distance educationAbstract
Purpose: no one technology can support all types of teaching and learning at a distance - the most effective approach is to combine a range of technologies. Using multiple technologies ensure that all learning styles are catered for and that significant opportunities for interaction between the learner and the tutor are provided. The general objective of the study was to evaluate influence of technology type on development of instructional materials for distance education.
Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps.
Findings: From the study findings, it is concluded that learning through experience influences the creation of new values which become attitudes that have a strong impact on teacher's behavior towards e-learning technology. Therefore, the attitude and values are singled out as a separate category as well, linking together certain factors that influence them. Because of the manner of academic teaching process, the most commonly used is blended learning model where a course instructor chooses the e-learning technology based on certain elements. The practice has shown that creating a blended learning environment is not easy and that course instructors have problems in many stages of designing the virtual learning environment, from the analysis of the course requirements, analysis of the student requirements, application of instructional design model, e-learning technology use, not understanding the concept of the quality of e-learning process and many other factors..
Recommendations: The study recommends that is a need for more courses should be integrated in distance learning so as to cover all the courses offered to students. There is also need for students to enroll in practical classes for computer training. This will enable the less net savvy students to brace up so as to avoid being left behind by others. There is no doubt that a lot of pressures are facing our students when it comes to distance learning technology adoption, especially distance barrier. There is therefore, need for e-learning to be fully put in place to enable the group of students that their homes are far away from the school to participate in classes even when they are not able to make it to school. Finally, there should be availability of ICT infrastructure, the absence or inadequacy of which will totally hamper the idea of e-learning adoption in universities. There should be provision of computers and high bandwidth to enable the easy flow of classes online
Downloads
References
Abdrahim, N. A. (2018). Practices in Malaysian Higher Education. International Journal of Academic Research in Business and Social Sciences, 8(12).
Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher Education Studies, 10(3), 16-25.
Ali, Wahab. "The Efficacy of Evolving Technology in Conceptualizing Pedagogy and Practice in Higher Education." Higher Education Studies 9, no. 2 (2019): 81-95.
Dawson, B. A., & Fenster, J. (2015). Web-based social work courses: Guidelines for developing and implementing an online environment. Journal of Teaching in Social Work, 35(4), 365-377.
Demuyakor, J. (2020). Coronavirus (COVID-19) and online learning in higher institutions of education: A survey of the perceptions of Ghanaian international students in China. Online Journal of Communication and Media Technologies, 10(3), e202018.
Effendi, H., Soenarto, S., & Sofyan, H. (2015). The effectiveness of web-based interactive blended learning model in electrical engineering courses. REiD (Research and Evaluation in Education), 1(2), 175-185.
Garcia, I., Guzmán"RamÃrez, E., & Pacheco, C. (2015). CoLFDImaP: A web"based tool for teaching of FPGA"based digital image processing in undergraduate courses. Computer Applications in Engineering Education, 23(1), 92-108.
Ghosh, D., Gupta, A., & Levine, S. (2018). Learning actionable representations with goal-conditioned policies. arXiv preprint arXiv:1811.07819.
Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1), n1.
Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R. & Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and Youth Services Review, 116, 105194.
Kerres, M. (2020). Against all odds: Education in Germany coping with Covid-19. Postdigital Science and Education, 2(3), 690-694.
Kitua, D. M. (2012). Factors influencing the use of the internet in learning among Bachelor of Education (Arts) Distance Learners: a case of the Meru Extra Mural Centre, University of Nairobi (Doctoral dissertation, University of Nairobi, Kenya).
Kubai, J. (2011). Factors influencing health workers' satisfaction with training by Distance Learning Mode: the case of AMREF Training Centre in Nairobi (Doctoral dissertation, University of Nairobi, Kenya).
Levin, S., Fulginiti, A., & Moore, B. (2018). The perceived effectiveness of online social work education: Insights from a national survey of social work educators. Social Work Education, 37(6), 775-789.
Levine, A. (2018). Privatization in higher education. In Privatizing education (pp. 133-148). Routledge.
Lorikiriki, A. L. (2016). Factors influencing guidance and counseling programme in the integration of learners with visual impairments and strategies for its enhancement in public primary schools in Turkana South Sub-County, Turkana County, Kenya (Doctoral dissertation, Egerton University).
Mbithi, B. M. (2013). Influence of financial transactions through mobile phones on the growth of Safaricom agents in Kisumu county, Kenya (Doctoral dissertation, University of Nairobi).
Mitra, S., & Mitra, J. C. Education after covid-19 (real pandemic). : 2020, 187.
Muriungi, D. N. (2015). The contribution of private universities to the development of higher education in Kenya the case of Kenya Methodist University (1997-2013) (Doctoral dissertation, University of Nairobi).
Murphy, M. P. (2020). COVID-19 and emergency eLearning: Consequences of the securitization of higher education for post-pandemic pedagogy. Contemporary Security Policy, 41(3), 492-505.
Nderitu, A. (2013). The effect of time management on academic performance of distance learners: A case of the University of Nairobi distance learners.
Nzuki, P. K., Bowa, O., Gunga, S. O., & Origa, J. O. (2015). The Relationship Between Perceived Quality Dimensions and Growth in Distance Education: The Case of External Degree Programme of the University of Nairobi, Kenya. International Journal for Innovation Education and Research, 3(2), 87-105.
Oirere, G. G. Month: August 2018.
Owen, J. M. (2020). Program evaluation: Forms and approaches. Routledge.
Rakap, S., Jones, H. A., & Emery, A. K. (2015). Evaluation of a web-based professional development program (Project ACE) for teachers of children with autism spectrum disorders. Teacher Education and Special Education, 38(3), 221-239.
Rao, S., & Krishnan, V. (2014, December). Distance education. In Nitte University, Fourth International Conference on Higher Education: Special Emphasis on Management Education.
Sahu, P. (2020). Closure of universities due to coronavirus disease 2019 (COVID-19): impact on education and mental health of students and academic staff. Cureus, 12(4).
Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring students' acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access, 7, 128445-128462.
Shackman, G. (2018). What is Program Evaluation? A Beginners Guide (Presentation Slides). A Beginners Guide (Presentation Slides)(February 11, 2018).
UÅžUN, S. (2016). A review on the program evaluation strategies in distance education. International Journal on New Trends in Education & Their Implications (IJONTE), 7(3).
Zacharis, N. Z. (2011). The effect of learning style on preference for web"based courses and learning outcomes. British Journal of Educational Technology, 42(5), 790-800.
Zhu, X., & Liu, J. (2020). Education in and after Covid-19: Immediate responses and long-term visions. Postdigital Science and Education, 2(3), 695-699.
Downloads
Published
How to Cite
Issue
Section
License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.