A Needs Analysis for a Discipline-Specific Reading Intervention
Bibliographic record
Abstract
<p class="Normal1">This paper reports on a needs analysis that sought to explore students’ reading challenges as an initial step in designing an appropriate reading intervention programme for first-year Sociology students. The aim of the paper is to suggest conditions for the production of an effective reading intervention programme by determining the needs of the students in the first-year Sociology class. A survey using an open-ended questionnaire was used to explore students’ reading challenges. The responses were analysed using content analysis. The analysis showed a variety of learner needs and revealed that most of the students have difficulty in reading their first-year Sociology texts. Comprehension was the main challenge, but other specific areas such as vocabulary, length of texts, language, and affective issues such as motivation and interest were also mentioned. The findings show that this cohort of first-year Sociology students had reading challenges that involve cognitive, language and affective issues. Based on the results of the needs analysis an intervention programme that addresses cognitive, language and affective issues is recommended for this cohort of students.</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.
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 | 0.002 | 0.002 |
| 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 | 0.000 | 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 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".