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Li Ye; Jingyi Li; Simin Yang; Yongxin Hang – Interactive Learning Environments, 2024
Traditional pattern teaching is an important part of the art curriculum, but the pattern are complex and difficult to learn. While schema theory focuses on the integration, understanding and construction process of knowledge, AR technology can provide a three-dimensional and dynamic display of patterns, which has been used in teaching in recent…
Descriptors: Computer Simulation, Game Based Learning, Art Education, Instructional Effectiveness
Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
Cai, Huiying; Gu, Xiaoqing – Interactive Learning Environments, 2022
This study examined the effects of shared representational guidance (collaborative textural representative tool vs. collaborative graphical representative tool; TR vs. GR) and prior knowledge (low vs. high; LPK vs. HPK) on different levels of individuals' understanding of specific-domain knowledge after collaborative problem solving (CPS). A total…
Descriptors: Foreign Countries, Education Majors, College Students, Knowledge Level
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Yuan Li – Interactive Learning Environments, 2024
The aim of this paper is to determine both the influence of musical compositions' genres on the students' musical literacy formed using artificial intelligence technologies and the musical literacy skills among music and non-music major students. Accordingly, the method of analysis was used to identify the most common musical genres in the Chinese…
Descriptors: Music Education, Majors (Students), Nonmajors, Folk Culture
Wu, Wei-Long; Hsu, Yen; Yang, Qi-Fan; Chen, Jiang-Jie; Jong, Morris Siu-Yung – Interactive Learning Environments, 2023
In recent years, several researchers have introduced spherical video-based virtual reality (SVVR) into classroom teaching to help students learn different subjects. In SVVR learning, learners are typically presented with great autonomy over their learning process. Therefore, learners should engage in self-regulated strategy (SRS) learning in order…
Descriptors: Learning Strategies, Video Technology, Computer Simulation, Academic Achievement
Sahika Simsek Çetinkaya; Gülçin Gümüs Çalis; Serife Kibris; Mehmet Topal – Interactive Learning Environments, 2024
This study aimed to determine the effectiveness of two simulation types used for family planning consultation of midwifery students and to compare these methods. This study was conducted at a university in Kastamonu, Turkey, in 2020-2021. The sample of the study was 90 midwifery students. The family planning skill training and communication skills…
Descriptors: Computer Simulation, Technology Uses in Education, Family Planning, Obstetrics
Chin, Kai-Yi; Wang, Ching-Sheng; Chen, Yen-Lin – Interactive Learning Environments, 2019
Although Augmented Reality (AR) technology has already been adopted into mobile learning environments, additional effort must be put towards providing strong evidence that AR-based mobile systems are excellent educational tools that make a positive impact in or outside of the classroom. Our study utilized a similar AR-based mobile learning system…
Descriptors: Computer Simulation, Simulated Environment, Telecommunications, Educational Technology
Hwang, Gwo-Haur; Chen, Beyin; Chen, Ru-Shan; Wu, Ting-Ting; Lai, Yu-Ling – Interactive Learning Environments, 2019
Competitive game-based learning has been widely discussed in terms of its positive and negative impacts on learners' learning effectiveness and learning behavior. Although different types of games require different kinds of knowledge to accomplish the task via competition, few studies have considered that knowledge types, such as procedural…
Descriptors: Student Behavior, Adoption (Ideas), Competition, Game Based Learning
Damnik, Gregor; Proske, Antje; Körndle, Hermann – Interactive Learning Environments, 2017
When teachers or instructors create computer-based learning environments, they often solely consider technical aspects of interactivity. As a consequence, learners' main role is to respond to requests of the learning environment (e.g. by answering multiple-choice questions). This aspect of interactivity is, however, not sufficient to understand…
Descriptors: Learning Activities, Constructivism (Learning), Interaction, Perspective Taking

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