Students Interest in Research and Tendency to Acquire Research Skills among Postgraduate Students with Learning Disabilities (LD) in Two Public Universities of Cross River State, Nigeria: Implications for Psychology
Bibliographic record
Abstract
Background: Learning disability is a permanent condition caused by abnormalities in the growth and development of the human brain, which has enormous implications for an individual's general performance. Aim: This study investigated how students’ interest in research predicted the tendency to acquire research skills among postgraduate students with Learning Disabilities (LD) in two Public Universities of Cross River State, Nigeria: Implications for Psychology. One objective, one purpose, and one statement of hypothesis were formulated. A literature review was carried out. Method: The survey research design was utilized. A stratified random sampling technique was adopted, and 49 respondents were sampled. A 16-item four-point modified Likert scale questionnaire was the instrument used for data collection. The face and content validity of the instrument were established. The reliability estimates are 0.84 using the Cronbach Alpha method. A simple linear regression statistical tool was used to test the hypothesis. The hypothesis was tested at the 0.05 level of significance. Results: The results revealed that interest significantly predicts postgraduate students with learning disabilities' tendency to acquire research skills. Hence, the more interested students with learning disabilities are in research, the more likely they are to develop strong research skills. Research skills are crucial for postgraduate studies, particularly for thesis writing, dissertation projects, and contributing to academic knowledge. By fostering research interest, universities can enhance the overall academic success of their postgraduate students. Conclusion: Interest in research significantly predicts postgraduate students' tendency to acquire research skills in the research area. Given the significant role of knowledge in humanity, acquiring research skills is integral to man. Graduate schools should have internal seminars and workshops, making it mandatory for students to present standard papers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".