A Study of End-Users’ Attitudes towards Digital Media Approach: the Experience of a Public University in Uganda
Bibliographic record
Abstract
University students in Uganda had been confined to use of traditional educational technologies such as chalkboards, papers and text books. Digital Media Approach recently found its way in the academia at public universities in Uganda. Information and communication technology (ICT) have become popular means of surfing, downloading and obtaining electronic materials among students. The approach has globally facilitated the seeking of academic information at institutions of higher learning in Uganda. However, little research has been conducted in regard to students who are the key users of Digital Media. The purpose of this study was to explore students’ attitudes towards Digital Media Approach at a public university in Uganda. The study specifically sought to establish whether university students’ attitudes towards digital technology were dependent on computer ownership, field of study and previous computer hands-on experience. A survey research was employed to establish students’ attitudes in regard to digital media. Questionnaires and interviews were used as tools for data collection while data was analyzed using a t-test. The findings showed that students who had their own computers as well as previous computer hands-on experience had more positive attitudes towards using the media than their counterparts without previous computer hands-on experience.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 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".