Use of ePortfolios in EAP classes to facilitate self-efficacy through the improvement of creative, organizational, reflective, revision and technological skills
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
Abstract EPortfolios have long been associated with encouraging learners to develop learner autonomy by helping them document and reflect on their learning processes and developing suitable learning strategies. While there is plentiful research in this area, it is still unclear the specific ways in which learners feel that maintaining an ePortfolio can help develop their reflective practices, and implementation of learning strategies. To address this, we surveyed and interviewed learners on an International Foundation Programme regarding their year-long use of ePortfolio practices to ascertain which skills and abilities they felt they developed, and in what ways this was of use to them in their current and future learning journey. The results section synthesizes survey and interview data to represent the students’ voices and their feelings regarding the creation and maintenance of an ePortfolio, and the development of skills. The thematic analysis of the data suggests that students feel that the use of an ePortfolio is challenging but that it facilitates self-efficacy through the improvement of creative, organizational, reflective, revision and technological skills. The discussion and conclusion present ideas about how these practices can be developed in the future, and how other practitioners may decide to implement an ePortfolio in their own context.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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