Assessment of Experiential Learning and Teaching Approaches in Undergraduate Programmes at the School of Agricultural Sciences, Makerere University, Uganda
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Competent graduates are a critical input in enhancing the university’s role in agricultural transformation. How graduates play their role in contributing to development mirrors on how they trained. Low quality graduates are believed to be a product of a more subject-centered and instructive style of teaching. The Makerere University Kampala School of Agricultural Sciences (SAS) made effort to improve and enhance the competence of its lecturers to use a learner centered teaching approach in its programmes through training. This paper presents an assessment of how the training influenced the lecturers to use different teaching practices toward producing quality responsive graduates. Data was collected from 120 students and 20 lectures from the SAS using a semi-structured questionnaire. The findings show that Training lecturers in experiential learning influenced their awareness and use of experiential learning approaches in delivery of the courses they taught. Effective application of experiential learning approaches was constrained by challenges of varied understanding and appreciation of the concept among lecturers, short class periods, large class sizes and financial limitations. In effect, the traditional lecture method remained dominant. Above all, application of experiential learning approaches is not institutionalized at SAS thus limiting the attainment of critical and reflective thinking for the attainment of lifelong learning abilities among students. To strengthen application of experiential learning approaches, training of all lecturers and curriculum review to integrate experiential learning practices as part of the general teaching quality assurance measures is critical.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it