Enhancing Effectiveness of Guidance and Counseling Services Through Web-Based Interactive Media
Bibliographic record
Abstract
The efficacy of guidance and counseling services within educational settings has frequently been constrained by traditional delivery methods, such as paper-based materials, boards, and PowerPoint presentations, which have been shown to limit student engagement.This study was undertaken to address these limitations by developing and validating a web-based platform, named "WAHANA BIKONS," designed to enhance the interactivity, creativity, and innovation of counseling services.The platform incorporates interactive elements such as games, discussions, and quizzes to foster a more engaging environment for students.The research and development process were structured into three key phases: preliminary research for initial data collection, a prototyping phase involving the creation and refinement of the website, and an assessment phase, where evaluations were conducted with both information technology (IT) experts and end-users.Data were amassed through questionnaires administered to six IT experts and thirty-nine users, with content validation assessed via the Content Validity Index (CVI).The validation results revealed a score of 0.92 from IT experts and 0.99 from users, indicating a high level of content validity for the developed platform.These findings suggest that "WAHANA BIKONS" is a viable tool for school counselors, enabling more dynamic and engaging counseling sessions.The study underscores the potential of incorporating interactive web-based media in guidance and counseling services and suggests further exploration into diversifying game elements and content to address the evolving developmental needs of students comprehensively.Future iterations of such media are recommended to ensure responsive and adaptable services to the varied needs of the student population.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".