STUDENT FEEDBACK AND PROBLEM DEVELOPMENT FOR WEBWORK IN A SECOND-YEAR MECHANICAL ENGINEERING PROGRAM
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
Abstract – WeBWorK is a widely-used open-source,
 online homework tool where instructors may author their
 own problems, or select problems from an Open Problem
 Library. While it is extensively and globally used in
 mathematics, there are few problems available for
 engineering subjects. Due to initial student feedback
 based on mathematics problems, we decided to compare
 WeBWorK directly to our Blackboard Learn LMS for
 online homework during an integrated second-year
 Mechanical Engineering program.
 Students were assigned two problem sets in
 Blackboard and two problem sets in WeBWorK, and then
 completed a survey. Results show a strong preference for
 WeBWorK in all areas, including ease of use, ease of
 navigation, clear feedback, reported enhancement of
 learning, etc.
 We outline the primary benefits and drawbacks of
 using WeBWorK, and conclude by recommending
 WeBWorK for online homework in engineering courses.
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