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Xia, Xiaona – Interactive Learning Environments, 2023
Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…
Descriptors: Interaction, Intervention, Student Behavior, Educational Environment
Ju-Chieh Huang – Interactive Learning Environments, 2024
This research integrated cooperative inquiry strategies to implement blended learning and analyzes the learning effects based on the perspectives of goal setting theory and well-being theory. Blended learning combines the advantages of classroom teaching and online learning and enables students to review material to further their understanding.…
Descriptors: Blended Learning, Cooperative Learning, Inquiry, Goal Orientation
Wu, Lin-Jung; Chang, Kuo-En – Interactive Learning Environments, 2023
To achieve adaptive learning, a dynamic assessment system equipped with a cognitive diagnosis was developed for this study, which adopts a three-stage model of diagnosis-intervention-assessment. To examine how this system influenced spatial geometry learning, the study used a quasi-experimental method to investigate student learning outcomes…
Descriptors: Cognitive Measurement, Alternative Assessment, Spatial Ability, Geometry
Pi, Zhongling; Yang, Jiumin; Hu, Weiping; Hong, Jianzhong – Interactive Learning Environments, 2022
An emerging body of research has focused on students' creativity in group contexts, with the assumption that students could be inspired by peers' ideas. Although students' openness and attention to peers' ideas are claimed to play important roles in their creativity in group settings, there is little empirical research that tests this assumption.…
Descriptors: Personality Traits, Creativity, Attention, Peer Relationship
Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Cai, Su; Liu, Enrui; Shen, Yang; Liu, Changhao; Li, Shuhui; Shen, Yihua – Interactive Learning Environments, 2020
The development of Augmented Reality technologies has enabled students to learn in an environment that combines learning resources from the real and digital world. This paper integrates three mobile Augmented Reality-based applications into a series of mathematics lessons on probabilities in a junior high school. This paper aims to examine how…
Descriptors: Probability, Mathematics Instruction, Computer Simulation, Instructional Effectiveness
Chang-Tik, Chan – Interactive Learning Environments, 2018
In this research, a survey method utilising questionnaires and focus group interviews was employed to determine correlations between students' learning styles and each of the presences in the CoI Framework across disciplines as well as students' blended learning experience. To this end, the linear regression model was the statistical approach used…
Descriptors: Cognitive Style, Communities of Practice, Interdisciplinary Approach, Blended Learning
Chen, Wei-Wen; Chen, Ching-Chen; Dai, Chia-Liang; U, Nok Man; Cheng, Lin – Interactive Learning Environments, 2018
The incremental theory of intelligence has been identified as a strong predictor of students' learning motivation. Recent research has suggested various moderators of its effect. The present study sought to examine the moderating effects of self-enhancement and self-criticism on the relation between incremental intelligence beliefs and students'…
Descriptors: Foreign Countries, Intelligence, Student Motivation, Junior High School Students
Teo, Timothy; Doleck, Tenzin; Bazelais, Paul – Interactive Learning Environments, 2018
Considering the increasingly ubiquitous and frequent use of Facebook among college students, this study sought to explicate and unravel the salient determinants of Facebook use. Specifically, the main goal was to ascertain the factors influencing "Collège d'enseignement général et professionnel" (CEGEP) students' Facebook use, for which…
Descriptors: Foreign Countries, Attachment Behavior, College Students, Structural Equation Models
Zhang, Min; Liu, Yupei; Yan, Weiwei; Zhang, Yan – Interactive Learning Environments, 2017
Users' continuance intention plays a significant role in the process of information system (IS) service, especially virtual learning community (VLC) services. Following the IS success model and IS post-acceptance model, this study explores the determinants of users' intention to continue using VLCs' service from the perspective of quality,…
Descriptors: Virtual Classrooms, Intention, College Students, Student Surveys
Lai, Horng-Ji – Interactive Learning Environments, 2017
The purpose of this study was to investigate the decisions of civil servants to use Web 2.0 applications while engaging in online learning. The participants were 439 civil servants enrolled in asynchronous online learning programs, using an e-learning portal provided by Taiwan's Regional Civil Service Development Institute. The participants…
Descriptors: Government Employees, Web 2.0 Technologies, Behavior Theories, Electronic Learning
Teo, Timothy; Kabakçi Yurdakul, Isil; Ursavas, Ömer Faruk – Interactive Learning Environments, 2016
This study aims to explore the digital natives among a sample of pre-service teachers and in the process, examine the validity of a Turkish adaptation of the digital native assessment scale (DNAS) [Teo, T., & Fan, X. (2013). "Coefficient alpha and beyond: Issues and alternatives for educational research." "The Asia-Pacific…
Descriptors: Foreign Countries, Preservice Teachers, Cross Cultural Studies, Program Validation
Sharma, Sujeet Kumar; Sarrab, Mohamed; Al-Shihi, Hafedh – Interactive Learning Environments, 2017
The growth of Smartphone usage, increased acceptance of electronic learning (E-learning), the availability of high reliability mobile networks and need for flexibility in learning have resulted in the growth of mobile learning (M-learning). This has led to a tremendous interest in the acceptance behaviors related to M-learning users among the…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Surveys

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