Snap, Tweet and Post: College Student Social Media Perceptions and Heutagogic Practices and Uses
Bibliographic record
Abstract
The nearly ubiquitous access to technology and the diversity of social media sites has provided students with easy access to a wide range of information and opportunities for interaction with other individuals. The nature of social media creates a context in which students can determine when they view information, the duration of the viewing, where they view their social media and why they choose to view the media. The conditions of social media interactions present an opportunity for self-determined learning, or heutagogy. While heutagogy takes place multiple time during a student’s average day, the self-determined nature of the learning may lead to issues associated with self-regulation and anti-social behaviors. To study student self-determined perceptions and engagement with social media we developed a mixed methods survey gathering quantitative and qualitative data from 71 undergraduate students. Our results reveal students do self-determine their engagement with social media and will also self-determine the norms they use for engagement. We also found that the students perceived that they gave up other activities to engage in social media, and were likely to spend more time studying, exercising, and bettering themselves of they did not spend time interacting with social media.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".