Student‐Produced Videos Enhance Learning in a Freshman Cellular and Molecular Biology Course
Bibliographic record
Abstract
Increasing student engagement in the learning process is a good way to enhance the educational experience, but the mechanics of doing so are difficult to define. Putting students in the role of teachers can help to introduce a student‐centered perspective on learning, provided this is done in a way that is appropriate to their strengths. Undergraduate students who had completed a freshman course in cellular and molecular biology were encouraged to develop multimedia resources (particularly videos) to supplement the lectures given in this class. The purpose of the videos was to provide the students with an alternative way of looking at the course content, from a student's point of view. Attention was focused on one specific component of the course — an assessment tool designed to test a students' abilities to solve problems based on course content. These assessments, Rapid Problem‐Solving Exercises (RAPSEs) were given to students in two variants. In the hypotheses generation RAPSEs, students were provided limited information (usually experimental data) and asked to frame possible solutions within a limited time period (20 minutes). In the other variant, students were given limited data but provided with a specific hypothesis for which they were required to design suitable experiments. These RAPSEs are challenging evaluations but provide a meaningful learning experience, and we wanted to see if we could aid in the learning process through educational tutorial videos. Specifically, we sought to develop videos tailored to student needs that consisted of students working through sample RAPSEs to highlight the thought process required to successfully navigate the assessment. Additionally, we produced animations of cellular mechanisms to help students visualize our thought processes. These videos went through several iterations with instructor feedback. These videos were shown to the class and were also available for individual student study. A voluntary questionnaire was sent out to the students following the RAPSE assessment. Preliminary responses to the questionnaire (n=109) revealed that 95% responded with ‘agree’ or ‘strongly agree’ when asked if the videos provided a valuable learning resource. The implementation of multimedia in problem‐solving through student‐centered learning is an effective manner of filling gaps endemic in standard didactic teaching. Student‐generated multimedia resources provide a valuable opportunity, not only to enhance student learning, but also foster faculty‐student collaboration in the learning experience.
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.
How this classification was reachedexpand
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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".