Designing an E-Portfolio as a Storage, Workspace and Showcase for Social Sciences and Humanities in Higher Education Institutions (HEIs)
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
<p>The present articles introduce the e-Portfolio as a storage, workspace and showcase to support teaching and learning in higher education institutions (HEIs). Thus, the mix-method approach was implemented on determining important elements of e-Portfolio as a storage, workspace and showcase for a social sciences and humanities context. This study implemented thematic analysis and Fuzzy Delphi Method to obtain the result. Therefore, 25 experts in instructional technology was participated in the process of the making a decision. As resulted, this study highlighted the fundamental of e-Portfolio consists; workspace, storage and showcase. Eventually, the instructional designer will understand and strategies on how to develop an effective e-Portfolio as learning support tool to enhance the learning experience between facilitator and learner.</p>
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.001 | 0.004 |
| 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