What is the syllabus for? Revealing tensions through a scoping review of syllabus uses
Bibliographic record
Abstract
The syllabus, also known as the course plan, is a document rooted in the interaction between instructors and learners in the classroom, yet it serves additional functions within the institution. Its expanding application beyond the classroom to address accountability and program evaluation underscores the importance of acknowledging the multifaceted nature of the syllabus, housing diverse requirements and goals that may not always seamlessly align. For instance, the imperative for a succinct and easily comprehensible document for learners may conflict with the document’s contractual function, necessitating specific length and tone considerations. Beyond examining its content, a comprehensive study of the collective uses of this tool offers insights into practices at the classroom, departmental, and institutional levels. This paper introduces a framework based on a scoping review of syllabus use in higher education literature. Employing an Activity Theory lens, nine interconnected uses are identified and categorized into three primary purposes. Analysis of these uses also sheds light on potential tensions related to syllabus use as a contract, blurred authorship, and the diverse stakeholders as audiences. By offering a broader perspective on the diverse functions of the syllabus, the presented framework can help inform discussions aimed at harmonizing the complex practices shaped by this institutional tool.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.121 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.020 | 0.022 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".