Provocation to Learn - A Study in the Use of Personal Response Systems in Information Literacy Instruction
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
The appearance of Personal Response Systems (PRS) or “clickers” in university classrooms has opened an avenue for new forms of communication between instructors and students in large-enrolment classes. Because it allows instructors to pose questions and receive tabulated responses from students in real-time, proponents of this technology herald it as an innovative means for encouraging higher levels of participation, fostering student engagement, and streamlining the assessment process. Having already been experimentally deployed across disciplines ranging from business to the arts and sciences, it is also beginning to be used in the context of information literacy instruction. In this project we employed the technology not to transfer actual skills, but to advertise the existence of online library guides, promote the use of the library within the context of the course itself, and “provoke” students to adopt a more active approach to research as a recursive process. Our findings suggest that students adapt easily to the use of this technology and feel democratically empowered to respond to their instructors in a variety of ways that include anonymous clicker responses as well as more traditional means such as the raising of hands and posing questions verbally. The particular value of this study was to show that these broader findings seem equally applicable to pedagogical settings in which learning objectives are built around and integrated with the principles of information literacy.
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 | 0.019 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.036 |
| Open science | 0.000 | 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 it