@inproceedings{2ed4c4eb6aa04b3b826631a475d093f8,
title = "Learning analytics of core competencies: A comparative study of students, academics, and industries",
abstract = "Core competencies are the combination of pooled knowledge and technical capacities that allow a person to be competitive in the marketplace. In this study, we applied a curriculum-level, competency-based visualized analytic system (the VACC) that has been developed by Yuan Ze University to analyze the levels of students' core competencies. The VACC system provides visual diagnostic functions for quickly understanding and positioning levels of students' core competencies. The course-Taken data of 335 students from the Information Management Department at Yuan Ze University were collected and analyzed. In addition, to understand whether students' core competencies have matched marketplace, we surveyed 21 professors from the department and 53 managers from related industries to understand their perceptions of importance of core competencies. The results of competency perceptions from the academia and industries were further compared to students' core competency charts that were generated from the VACC system to measure the gaps among these three stakeholders. The diagnostic results of VACC showed that students have taken more courses on building their competencies of cultivating a broad knowledge and skills in the field of information management. There was a huge gap when students' core competency radar charts were matched to those from academia and industries. While faculties perceived the development of professional skills and the capacity of problem solving was more important than the other competencies, managers from industries suggested whether students can collaborate and team up with others was the crucial competency that market needs. Through learning analytics of students' core competencies and comparison of competency perception among faculties and managers, we can refer these results to diagnose current curriculum and facilitate course design in the future.",
keywords = "Core competency, Curriculum, Learning analytics, Visualization",
author = "Chou, {Chih Yueh} and Tseng, {Shu Fen} and Chen, {Zhi Hong} and Chao, {Po Yao} and Peng, {Kung Chen} and Lin, {Yi Lung}",
year = "2015",
language = "English",
series = "Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "385--389",
editor = "Ying-Tien Wu and Tomoko Kojiri and Kong, {Siu Cheung} and Feiyue Qiu and Hiroaki Ogata and Thepchai Supnithi and Yonggu Wang and Weiqin Chen",
booktitle = "Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015",
note = "23rd International Conference on Computers in Education, ICCE 2015 ; Conference date: 30-11-2015 Through 04-12-2015",
}