A Computer-Supported Personalized and Collaborative Learning to Improve Professional Learners' Performance in Advanced Cardiac Life Support Training

Authors

  • Kuang-Yi CHANG School of Nursing, College of Nursing, Taipei Medical University, Taiwan Author
  • Gwo-Haur HWANG Bachelor Program in Industrial Technology, National Yunlin University of Science and Technology, Taiwan Author
  • Ching-Yi CHANG School of Nursing, College of Nursing, Taipei Medical University, Taiwan Author

Abstract

The Advanced Cardiac Life Support (ACLS) training was organized to help professional learners establish basic competence in the comprehension of electrocardiograms. However, learners usually have difficulty memorizing the meanings of different electrocardiogram waveforms, which could represent clinical symptoms or even the feeling of dying, via traditional instruction. Some severe problems could lead to death if the professional staff does not make correct judgments and provide timely treatment. Thus, this paper reports an exploratory study on the effects of a computer-supported personalized and collaborative learning approach on professional learners’ ACLS learning achievement. A 2-week experiment was conducted to compare the learning achievement of the following: professional learners who learned with the ACLS situation-based computer-supported personalized and collaborative learning approach, and those who learned with the ACLS traditional approach. The experimental results show that the professional staff who learned the proposed method had a better learning performance than those who learned the ACLS traditional approach.

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Published

2022-11-28

How to Cite

A Computer-Supported Personalized and Collaborative Learning to Improve Professional Learners’ Performance in Advanced Cardiac Life Support Training. (2022). International Conference on Computers in Education, 527-534. https://library.apsce.net/index.php/ICCE/article/view/4633