Designing and Evaluating a Digital Pedagogy for Agricultural Science Teaching

Thesis Abstract

In the context of rising technological integration within agricultural science education, this study addresses the critical need for effective digital pedagogical strategies to enhance teaching and learning outcomes in agricultural sciences. The persistent gap between traditional pedagogical approaches and the rapidly evolving digital landscape necessitates a systematic investigation into designing, implementing, and evaluating digital teaching methods that are pedagogically sound and contextually relevant. The primary aim of this research is to develop a comprehensive digital pedagogy model tailored for agricultural science instruction and assess its effectiveness in improving students’ cognitive, affective, and skill-based learning outcomes. Specifically, this study seeks to (1) identify key components of effective digital pedagogies in agricultural science education, (2) design an integrated digital instructional framework grounded on constructivist and technological pedagogical content knowledge (TPCK) theories, (3) implement the pedagogical model in selected agricultural colleges, and (4) evaluate its impact on students’ academic performance, engagement, and attitudes towards digital learning. This research adopts a mixed-methods approach, combining quantitative and qualitative data collection and analysis. The research design comprises a quasi-experimental component to assess pedagogical impacts, and a phenomenological approach to explore educators’ and students’ perceptions. The target population includes 300 undergraduate agricultural science students and 20 educators across three agricultural colleges. A stratified random sampling technique is used to select 150 students per institution, while purposive sampling identifies participating educators. Data collection instruments encompass validated questionnaires measuring academic performance, digital engagement, and attitude shifts; semi-structured interview guides for educators; and focus group discussion protocols for students. The validity of instruments is established through content validation by experts, while reliability is tested via Cronbach’s alpha coefficients exceeding 0.80. Data analysis employs descriptive statistics, paired and independent samples t-tests, multiple regression analysis to determine predictors of learning outcomes, and thematic analysis for qualitative data. Expected findings suggest that the integrated digital pedagogy significantly enhances students’ understanding of core agricultural concepts, increases digital engagement and motivation, and fosters positive attitudes towards using technology for learning. Quantitative results are anticipated to reveal statistically significant improvements (p < 0.05) in academic achievement and engagement levels among students exposed to the digital pedagogy compared to control groups. Qualitative insights are expected to illuminate facilitators and barriers in adopting digital pedagogies in agricultural contexts, including infrastructural challenges, technological competencies, and contextual relevance. This study contributes to knowledge by providing an empirically validated digital pedagogy framework explicitly tailored for agricultural science education, grounded in constructivist and TPCK theories. It offers practical insights for educators, curriculum developers, and policymakers aiming to incorporate technology-enhanced learning in agricultural higher education environments. The research advances understanding of how digital pedagogical strategies influence learning outcomes in agricultural sciences and offers a replicable model adaptable to similar educational contexts. The study concludes that well-designed digital pedagogies significantly improve educational engagement and performance in agricultural science instruction, emphasizing the importance of context-specific technological integration. Recommendations include the adoption of the developed framework by agricultural institutions, capacity-building initiatives to enhance digital literacy among educators and students, and the continuous refinement of digital content and delivery methods. Future research is suggested to explore longitudinal impacts of digital pedagogies, scalability across diverse educational settings, and integration with emerging technologies such as augmented reality and artificial intelligence to further enhance agricultural science education.