ePortfolio Pedagogy: Leveraging Affordances in Digital Spaces by Students and Educators
Bibliographic record
Abstract
Electronic portfolios (ePortfolios) are technological tools with many purposes. Students can showcase their achievements, instructors can assess their students, and both learners and educators can engage in a deeper level of learning and critical reflection. As a capstone project at the end of a course or program of studies, the ePortfolio is an innovative instructional strategy that enables students to learn to use the technology while learning about its affordances in their online learning community. As part of a growing movement, ePortfolio pedagogy includes instructional practices that align with 21st-century thinking and encourage students to rely on their online environment to learn and co-construct knowledge. This digital pedagogy is an effective form of professional self-development that aims to help educators leverage on what they have to offer in their own practice as they learn to embrace a value-based approach to teaching. The ePortfolio is prominently positioned as an innovative way for educators to relearn their craft, design learning, and facilitate online instruction.
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How this classification was reachedexpand
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".