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Ghasem Salimi; Elham Heidari; Mitra Mohammadjani; Amin Mousavi – Interactive Learning Environments, 2024
Recent studies indicate that academic performance is a complex phenomenon that can be influenced by various factors. Previous studies have also demonstrated a positive and significant relationship between academic performance, academic self-efficacy, and readiness to take advantage of mobile learning tools. The mediating role of mobile learning…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Readiness
Mario Alberto de la Puente Pacheco; Carlos Mario de Oro Aguado; Elkyn Lugo Arias; Heidy Rico; Diana Cifuentes; Merlys Tafur – Interactive Learning Environments, 2023
This Article analyses the effectiveness of Simulation-Based Learning Model ASEAN Meeting in enhancing critical thinking skills and academic performance compared to the conventional teaching method among 216 International Relations undergraduate students on the north coast of Colombia. A t-student test, Welch test, and the Kendall Tau correlation…
Descriptors: Critical Thinking, Models, Inquiry, Active Learning
Yang, Xianmin; Zhao, Xinshuo; Tian, Xuesong; Xing, Beibei – Interactive Learning Environments, 2021
Mobile learning (M-learning) is currently popular. Although M-learning has a positive effect on the interest, attitude, initiative, and learning of learners, it comes with the negative effect of distraction. Exploring the factors that influence M-learning concentration have become a popular research subject. Environment (quiet and noisy) and…
Descriptors: Environmental Influences, Acoustics, Human Posture, Attention
Obeid, Samah; Demirkan, Halime – Interactive Learning Environments, 2023
With the recent advancements in digital technologies, the design studios are transformed to virtual environments that offer both to design students and instructors a broader perspective in understanding the design process. As an integral part of design process, the supporting virtual tools enhance creativity in basic design studios. This study…
Descriptors: Creativity, Design, Teaching Methods, Computer Simulation
Yang, Yanxia; Wang, Xiangling – Interactive Learning Environments, 2023
Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…
Descriptors: Translation, Computational Linguistics, Second Languages, Language Usage
Yildiz Durak, Hatice – Interactive Learning Environments, 2021
The present study aims to determine the relation between Technological Pedagogical Content Knowledge (TPACK) levels of teachers and their self-efficacy in integrating technology, their technology literacy and their usage objective of social networks. Structural equation modeling was utilized to create a model explaining and predicting the…
Descriptors: Correlation, Social Networks, Pedagogical Content Knowledge, Technological Literacy
Hao, Kuang-Chung; Lee, Lai-Chung – Interactive Learning Environments, 2021
This study developed four AR games and investigated their influence on learning in a Grade 5 English course by integrating theories of digital game-based learning, the attention relevance confidence-satisfaction (ARCS) model, and different types of digital games. Moreover, the elements between AR game design and the ARCS model were examined. 147…
Descriptors: Computer Simulation, Educational Games, Grade 5, Game Based Learning
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
Kwon, Kyungbin; Shin, Suhkyung; Brush, Thomas A.; Glazewski, Krista D.; Edelberg, Thomas; Park, Su Jin; Khlaif, Zuheir; Nadiruzzaman, Hamid; Alangari, Husa – Interactive Learning Environments, 2018
This study examined the types of learning behaviors students demonstrated while performing inquiry tasks. It also explored the relationship between the learning behaviors and students' domain knowledge. We observed fourteen students in five groups during a ninth-grade biology course. Three types of learning behaviors (inquiry, collaborative, and…
Descriptors: Inquiry, Problem Based Learning, Cooperative Learning, Grade 9
Chen, Yu-Hsuan; Wang, Chang-Hwa – Interactive Learning Environments, 2018
Although research has indicated that augmented reality (AR)-facilitated instruction improves learning performance, further investigation of the usefulness of AR from a psychological perspective has been recommended. Researchers consider presence a major psychological effect when users are immersed in virtual reality environments. However, most…
Descriptors: Simulated Environment, Educational Technology, Technology Uses in Education, Psychological Patterns
Kay, Robin – Interactive Learning Environments, 2014
This study explored the impact of Web-Based Learning Tools (WBLTs), also known as learning objects, in secondary school mathematics and science classrooms. Surveys, open-ended questions, and student performance data were collected from a sample of 8 teachers and 333 students. Teachers rated the learning benefits, quality, and engagement value of…
Descriptors: Technology Uses in Education, Web Based Instruction, Classroom Techniques, Secondary School Mathematics
Peled, Yehuda; Bar-Shalom, Oded; Sharon, Rakefet – Interactive Learning Environments, 2014
This is a two-phase research process in a wiki environment. The first phase explored (1) the significance of peer-feedback on students' academic performance on a specific task in a wiki environment, (2) three types of peer-feedback and (3) students' constraints on offering meaningful feedback to their peers. The objective of phase two was to…
Descriptors: Preservice Teachers, Student Attitudes, Feedback (Response), Web 2.0 Technologies
Al-Samarraie, Hosam; Selim, Hassan; Zaqout, Fahed – Interactive Learning Environments, 2016
A model is proposed to assess the effect of different content representation design principles on learners' intuitive beliefs about using e-learning. We hypothesized that the impact of the representation of course contents is mediated by the design principles of alignment, quantity, clarity, simplicity, and affordance, which influence the…
Descriptors: Electronic Learning, Learning Motivation, Course Content, Intuition
Dong, Yan; Liang, Jyh-Chong; Yu, Yue-Yue; Wu, Jui-Chi; Tsai, Chin-Chung – Interactive Learning Environments, 2015
The main purpose of this study was to examine the relationships between Chinese higher education students' epistemic beliefs and their judgmental standards of searching for literature online. Data were collected from 449 higher education students (152 college students and 297 graduate students) in Beijing via two self-reported questionnaires: one…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
Hong, Jon-Chao; Hwang, Ming-Yueh; Liu, Yeu-Ting; Lin, Pei-Hsin; Chen, Yi-Ling – Interactive Learning Environments, 2016
Educational games can be viewed in two ways, "learning to play" or "playing to learn." The Chinese Idiom String Up Game was specifically designed to examine the effect of "learning to play" on the interrelatedness of players' gameplay interest, competitive anxiety, and perceived utility of pre-game learning (PUPGL).…
Descriptors: Educational Games, Prediction, Anxiety, Competition
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