Exploring the Pathway of Project-Based Learning for Enhancing Core Competency in Educational Psychology
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
This study explores the impact of project-based learning (PBL) on enhancing core competencies in educational psychology courses, specifically learning motivation, critical thinking, and collaborative problem-solving skills among undergraduate students. The research sample comprised 42 undergraduate students enrolled in an educational psychology course. A project-based learning management plan was implemented, with assessments conducted using the Working Preference Inventory, the California Critical Thinking Disposition Inventory, and the Collaborative Problem-Solving Skills Scale. The results indicate that PBL significantly enhances students’ competitive awareness (t = 3.58, p < .01) and thirst for knowledge (t = 5.93, p < .001). Moreover, PBL fosters the systematic nature of students’ cognition (t = 2.98, p < .05) and promotes cognitive maturity (t = 44.08, p < .001). It also strengthens students’ ability to plan and execute problem-solving tasks (t = 4.00, p < .01). However, group collaboration in PBL settings may reduce individual initiative. These findings underscore the effectiveness of PBL in developing students’ core competencies, particularly within educational psychology. On one hand, this study highlights the role of PBL in enhancing students’ comprehensive abilities and promoting deep learning in undergraduate education. On the other hand, it suggests that the design and implementation of PBL should balance the dual needs of individual and team-based learning.
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 | 0.001 | 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 | 0.000 | 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