Bibliographic record
Abstract
This chapter discusses a number of issues pertaining to interface design in e-Learning Tools (ELTs)—where ELTs refer to computer-based software that mediates and supports learners’ engagement with educational information. The design of the interfaces of ELTs involves two main components: representation and interaction. This chapter discusses eight issues that need to be considered when designing and evaluating ELTs: 4 regarding representation design and 4 regarding learner-information interaction design. The issues of representation design are: (1) selecting, (2) coupling, (3) encoding, and (4) scaffolding. The issues of interaction design are: (1) focus, (2) flow, (3) multiplicity, and (4) compositeness and externalization. Each of these is discussed and one study involving a tool is presented for each issue to highlight the importance of paying attention to that issue when designing and evaluating the interface of ELTs.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 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 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".