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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
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Asselman, Amal; Khaldi, Mohamed; Aammou, Souhaib – Interactive Learning Environments, 2023
Performance Factors Analysis (PFA) is considered one of the most important Knowledge Tracing (KT) approaches used for constructing adaptive educational hypermedia systems. It has shown a high prediction accuracy against many other KT approaches. While, the desire to estimate more accurately the student level leads researchers to enhance PFA by…
Descriptors: Algorithms, Artificial Intelligence, Factor Analysis, Student Behavior
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Joseph Hin Yan Lam; Shelley Xiuli Tong – Interactive Learning Environments, 2023
Despite the increasing popularity of online learning in elementary and primary schools, it is unclear to which extent that students' attitudes toward online learning influence their learning progress and outcomes. In this study, the Online Learning Attitude Questionnaire (OLAQ) was developed and validated to measure students' online learning…
Descriptors: Elementary School Students, Child Caregivers, Foreign Countries, Measures (Individuals)
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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
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Li, Na; Zhang, Xiaojun; Limniou, Maria – Interactive Learning Environments, 2023
Although virtual learning environments (VLEs) have long been forecasted to accelerate the educational revolution, their adoption by teachers and students has not always been as effective as is expected over the years. This challenges universities that extensively investigated educational technologies. Stakeholders are keen to understand the…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Adoption (Ideas)
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Bhagat, Kaushal Kumar; Cheng, Chia-Hui; Koneru, Indira; Fook, Fong Soon; Chang, Chun-Yen – Interactive Learning Environments, 2023
The aim of this study was to develop a scale to measure students' blended learning course experience. A total of 792 undergraduate students from Malaysia participated in this study. Exploratory factor analysis (EFA) was employed to evaluate the factor structure of the scale. As a result of EFA, three factors with 19 items that explained 68.06% of…
Descriptors: Blended Learning, Evaluation Methods, Course Evaluation, Student Attitudes
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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
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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