NURSING STUDENTS’ LEARNING EXPERIENCES IN AN ONLINE LEARNING COURSE
Bibliographic record
Abstract
<p>To improve the quality of online learning in Indonesia higher education, Faculty of Nursing (FoN), Universitas Pelita Harapan (UPH) supported by the Directorate of Higher Education in Indonesia that known as DIKTI developed an online course named Family Nursing. The course is a community nursing course in regard with the care of family nursing and it discusses the concept of family, family health, and the concept of a wellness family. The course was developed to achieve the mission of equitable access to information, relevance, and improvement of the quality of higher education throughout Indonesia, especially in nursing education. The online course was offered in one private nursing school in Jakarta area that never had any online course nor using online learning method in the delivery of their subjects. The aim of this report was to describe students’ experiences in an online course. This paper reports on the evaluation work of one semester online/blended learning project funded by DIKTI. Sixty five students, who experienced the online/blended learning method for the first time, were enrolled in the online course. The students have agreed to fill an evaluation online form after their mid semester exam. The evaluation form consisted of closed- and openended questions. This report revealed that most students (&gt; 70%) agreed that their experience on the online (blended) learning was positive. However, it should be noted that, a quarter of students (27-28%) had less motivation to do the independent learning and perceived that the online learning was a learning experience that lack of support in developing their critical thinking. Several important themes further emerged including students’ issues (lack of knowledge and motivation), teaching-learning process issues (lack of facilities and clarity) and academic staff issues (minimal feedback and different perceptions between academic staff and students). Though online/blended learning can be employed to support nursing and healthcare education, there is limited appreciation of students' experience and the use of e-learning. Context is also being considered as an important part when applying the online/blended learning, thus, this report provides a new understanding of students’ opinions on their first experience when engaging with online learning at a private nursing school. This report further provides a number of inhibiting factors continue to affect the student experience.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".