Learning analytics of core competencies: A comparative study of students, academics, and industries

Chih Yueh Chou, Shu Fen Tseng, Zhi Hong Chen, Po Yao Chao, Kung Chen Peng, Yi Lung Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationWorkshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015
EditorsYing-Tien Wu, Tomoko Kojiri, Siu Cheung Kong, Feiyue Qiu, Hiroaki Ogata, Thepchai Supnithi, Yonggu Wang, Weiqin Chen
PublisherAsia-Pacific Society for Computers in Education
Pages385-389
Number of pages5
ISBN (Electronic)9784990801472
Publication statusPublished - 2015 Jan 1
Externally publishedYes
Event23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, China
Duration: 2015 Nov 302015 Dec 4

Publication series

NameWorkshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015

Other

Other23rd International Conference on Computers in Education, ICCE 2015
CountryChina
CityHangzhou
Period15/11/3015/12/4

    Fingerprint

Keywords

  • Core competency
  • Curriculum
  • Learning analytics
  • Visualization

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Education

Cite this

Chou, C. Y., Tseng, S. F., Chen, Z. H., Chao, P. Y., Peng, K. C., & Lin, Y. L. (2015). Learning analytics of core competencies: A comparative study of students, academics, and industries. In Y-T. Wu, T. Kojiri, S. C. Kong, F. Qiu, H. Ogata, T. Supnithi, Y. Wang, & W. Chen (Eds.), Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015 (pp. 385-389). (Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015). Asia-Pacific Society for Computers in Education.