Leadership Development through Project Based Learning
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
The traditional hierarchical model of leadership is outdated and in its place are flatter industrial models where leadership is shared amongst the various individuals in a team. The modern team based project is an essential method used to create successful endeavors. Engineers must be trained to lead and participate in multidisciplinary teams. The learning process of becoming an effective leader and a valued team member must begin through the introduction of leadership skills during undergraduate engineering education. Project Based Learning (PBL) is an example where such training can have a profound influence on the learner, enabling growth of future leaders. Project Based Learning has long been touted as an excellent method of active learning which greatly facilitates application and retention of theory. Its use to improve ‘soft skills’ such as communication, individual growth, life-long learning and team-work is also evident. Difficulties with PBL are more often institutionally-based involving implementation on a large scale and faculty enthusiasm and time commitments. This paper expands on the use of PBL as a method to develop student leaders focusing on individual student experiences within team environments. It introduces various PBL approaches and their implementation within an existing engineering educational framework.
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 | 0.001 |
| 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