Enhancing Hispanic Minority Undergraduates’ Botany Laboratory Experiences: Implementation of an Inquiry-Based Plant Tissue Culture Module Exercise
Bibliographic record
Abstract
Early involvement of students in hands-on research experiences are known to demystify research and promote the pursuit of careers in science. But in large enrolment departments such opportunities for undergraduates to participate in research are rare. To counteract such lack of opportunities, inquiry-based laboratory module in plant tissue culture was implemented in an undergraduate botany course impacting approximately 140 Hispanic minority students per year. In this module, spread throughout the semester, the students used African violet to gain experience in plant tissue culture techniques. The objective was for the students to learn how to take part of the plant from in vivo to in vitro culture. This required the establishment of aseptic techniques and the use of different media components to multiply plants under in vitro conditions. In depth assessment of gain-of content knowledge and gain-of confidence revealed that our inquiry-based approach allowed the students to learn while increasing their self-perception of scientific methodology. In three semesters, the students reported a 2.5-fold overall increase in the post-module assessment for content knowledge compared to pre-module assessment. Similarly, approximately 85% of the students reported that they gained self-confidence in many aspects pertaining to conducting future research such as the use of primary literature, the design and performance of novel scientific experiments, and the formulation of a testable hypothesis. Though this lab module was solely in plant tissue culture, the inquiry-based nature of the exercise developed students’ research skills and built confidence which is important in increasing retention of students in sciences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".