Developing a Curriculum for Information and Communications Technology Use in Global Health Research and Training: A Qualitative Study Among Chinese Health Sciences Graduate Students
Bibliographic record
Abstract
BACKGROUND: Rapid development of information and communications technology (ICT) during the last decade has transformed biomedical and population-based research and has become an essential part of many types of research and educational programs. However, access to these ICT resources and the capacity to use them in global health research are often lacking in low- and middle-income country (LMIC) institutions. OBJECTIVE: The aim of our study was to assess the practical issues (ie, perceptions and learning needs) of ICT use among health sciences graduate students at 6 major medical universities of southern China. METHODS: Ten focus group discussions (FGDs) were conducted from December 2015 to March 2016, involving 74 health sciences graduate students studying at 6 major medical universities in southern China. The sampling method was opportunistic, accounting for the graduate program enrolled and the academic year. All FGDs were audio recorded and thematic content analysis was performed. RESULTS: Researchers had different views and arguments about the use of ICT which are summarized under six themes: (1) ICT use in routine research, (2) ICT-related training experiences, (3) understanding about the pros and cons of Web-based training, (4) attitudes toward the design of ICT training curriculum, (5) potential challenges to promoting ICT courses, and (6) related marketing strategies for ICT training curriculum. Many graduate students used ICT on a daily basis in their research to stay up-to-date on current development in their area of research or study or practice. The participants were very willing to participate in ICT courses that were relevant to their academic majors and would count credits. Suggestion for an ICT curriculum included (1) both organized training course or short lecture series, depending on the background and specialty of the students, (2) a mixture of lecture and Web-based activities, and (3) inclusion of topics that are career focused. CONCLUSIONS: The findings of this study suggest that a need exists for a specialized curriculum related to ICT use in health research for health sciences graduate students in China. The results have important implications for the design and implementation of ICT-related educational program in China or other developing countries.
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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 | 0.013 | 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 | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".