Evaluating the Effectiveness of Multimedia Content in Teaching and Learning: A Survey of Primary Schools in Nakuru Town, Kenya

Margaret Mwinji

Mount Kenya University

Dr. John Kamau

Mount Kenya University

Prof. Gregory Wanyembi

Mount Kenya University

DOI: https://doi.org/10.1234/ijacs.v8iII.59

Keywords: Multimedia, Evaluation methods, Adoption, Learning, Teaching


Abstract

In today's digitally dependent environments, multimedia is a popular form of technology. The integration of this technology into education has been especially remarkable, providing pupils with options for learning that may enhance conventional teaching approaches. The study aimed to evaluate the adoption of multimedia content in primary school education in Nakuru Town and assess its effectiveness in improving teaching and learning in educational settings. The study adopted a combination of descriptive research designs. Diffusion of innovation theory was used as a theoretical framework since it seeks to illustrate how new innovations are transmitted through a particular channel by members of a society. This research focused on a specific group of 128 primary schools located in Nakuru Town. 79 primary schools were chosen by judgmental sampling. The researcher acquired primary data by administering a questionnaire and doing observational experiments. Descriptive statistics was applied in analyzing the data collected. The results were shown in tabular and graphical formats. An R squared value of 74.8% was achieved indicating a positive correlation with the parameters utilized, a result considered ideal for this study. The study covers important elements of multimedia teaching and learning, including quality indicators, descriptors, and scores. Hence, it will be important for the government and key stakeholders to evaluate multimedia content in primary schools in Kenya in order to have appropriate content in the Kenyan setup.


Author Biographies

Margaret Mwinji, Mount Kenya University

School of Computing & Informatics

Mount Kenya University

Dr. John Kamau, Mount Kenya University

School of Computing & Informatics

Mount Kenya University

Prof. Gregory Wanyembi, Mount Kenya University

School of Computing & Informatics

Mount Kenya University

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