@inproceedings{2f9ecf939838490490c42b9462b13700,
title = "A Computer-Supported Personalized and Collaborative Learning to Improve Professional Learners' Performance in Advanced Cardiac Life Support Training",
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.",
keywords = "collaborative learning, computer-supported personalized learning, Decision making, mobile applications",
author = "Chang, {Kuang Yi} and Hwang, {Gwo Haur} and Chang, {Ching Yi}",
note = "Publisher Copyright: {\textcopyright} ICCE 2022.All rights reserved.; 30th International Conference on Computers in Education Conference, ICCE 2022 ; Conference date: 28-11-2022 Through 02-12-2022",
year = "2022",
month = nov,
day = "28",
language = "English",
series = "30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "527--534",
editor = "Sridhar Iyer and Ju-Ling Shih and Ju-Ling Shih and Weiqin Chen and Weiqin Chen and Khambari, {Mas Nida MD} and {Abdul Aziz}, {Nor Azni} and Maiga Chang and Anita Diwakar and How, {Shwu Pyng} and Bo Jiang and Atima Kaewsa-Ard and Kim, {Mi Song} and Chiu-Lin Lai and Lee, {Vwen Yen Awyln} and Liu, {Lydia Yan} and Hiroaki Ogata and Omar, {Muhd Khaizer} and Hang Shu and Yanjie Song and Wen Yun",
booktitle = "30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings",
}