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Xiaoxuan Fang; Davy Tsz Kit Ng; Jac Ka Lok Leung; Huixuan Xu – Interactive Learning Environments, 2024
The Attention, Relevance, Confidence, and Satisfaction or ARCS model is an effective motivational model that has been widely accepted by education practitioners. Literature on the ARCS model has focused primarily on aspects of educational settings, research methods, and outcomes. However, few studies have addressed the applications of the ARCS…
Descriptors: Attention, Relevance (Education), Self Esteem, Student Satisfaction
Wang, Yu-Yin; Wang, Yi-Shun – Interactive Learning Environments, 2022
While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Anxiety
Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
Diem Thi Ngoc Hoang; Huy Phung; Nhi Tran – Interactive Learning Environments, 2023
With the increasing significance of technology use in both daily life and education, the digital native assessment scale (DNAS) [developed by Teo, T. (2013). An initial development and validation of a Digital Natives Assessment Scale (DNAS). Computers & Education, 67, 51-57.] has been widely used as a tool to investigate the digital nativeness…
Descriptors: Digital Literacy, Preservice Teachers, Foreign Countries, Likert Scales
Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
Watcharapol Wiboolyasarin; Nattawut Jinowat; Kanokpan Wiboolyasarin; Ruedee Kamonsawad – Interactive Learning Environments, 2024
A three-dimensional virtual world (henceforth, 3DVW) is a novel phenomenon with enormous potential as a virtual community for broadening meaningful life experiences. Previous 3DVW research, however, has not addressed the determinants that influence L2 students' expectations. The primary goal of this study was to employ a combination of exploratory…
Descriptors: Computer Simulation, Technology Uses in Education, Preservice Teachers, Second Language Learning
Lihui Sun; Zhen Guo; Danhua Zhou – Interactive Learning Environments, 2024
Coding ability has become an essential digital skill for young children. The graphical programming environment is valuable carrier for cultivating children's coding ability. The purpose of this study is to develop a coding ability test for children, to conduct a graphic coding intervention, and to further explore the impact of multiple factors on…
Descriptors: Programming, Skill Development, Intervention, Student Experience

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