The Use of Generative Artificial Intelligence in Higher Education
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
ChatGPT is one of the most popular forms of artificial intelligence that is being used to support student learning. How ChatGPT and other generative artificial intelligence (gAI) apps are being used by students is largely unknown given their relative newness on campus. Hence, the purpose of this study was to examine what gAIs are being used, how they are supporting student learning, and what are students’ perceptions about gAI’s impact on learning, privacy, and ethical considerations. Two hundred and fifty-three students in higher education completed the survey. Findings revealed that students used gAI for a variety of purposes, including general learning support, assistance with writing assignments, solving homework questions, and generating ideas. There were several statistically significant differences in mean scores, including differences in perceptions towards the impact of gAI on learning grouped by frequency of gAI use and status as a domestic or international student.
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 | 0.000 | 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 | 0.000 | 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