The Design and Implementation of a Results-Based Curriculum in Higher Education in Mongolia
Bibliographic record
Abstract
Mongolia aims to develop a system for training highly skilled professionals and specialists to meet the demands of both domestic and international labor markets by implementing results-based education standards and methodologies. To address challenges in engineering education, the adoption of CDIO (Conceive-Design-Implement-Operate) standards is necessary for curriculum improvement and content reform. This study examines the globally recognized CDIO framework as an advanced and effective approach in modern engineering education, analyzing its fundamental principles and the challenges faced by educators in developing a results-based curriculum tailored to Mongolia’s unique needs and cultural context.A systematic review of the theoretical foundations, methodological approaches, and primary objectives of CDIO-based programs is crucial for effectively implementing outcome-based education. As part of this research, CDIO syllabus-based learning activities were integrated into undergraduate programs, adapting the 12 standards of the CDIO framework (Version 2.0) to the Mongolian education system. An external evaluation was conducted on 445 programs across 55 universities in Mongolia, and a content analysis was conducted by comparing program criteria with results. The effectiveness of the result-based CDIO model in engineering education was assessed to determine whether it achieved its intended objectives and contributed to meaningful progress. This analysis provides valuable insights for future improvements in Mongolia’s engineering education system.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".