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Showing 1 to 15 of 18 results Save | Export
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Zheng, Lanqin; Niu, Jiayu; Zhong, Lu; Gyasi, Juliana Fosua – Interactive Learning Environments, 2023
Recently, artificial intelligence (AI) technologies have been widely used in the field of education, and artificial intelligence in education (AIEd) has gained increasing attention. However, no quantitative meta-analysis has been conducted on the overall effectiveness of AI on learning achievement and learning perception. To close this research…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Academic Achievement, Student Attitudes
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Liu, Na; Pu, Quanlin – Interactive Learning Environments, 2023
One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…
Descriptors: Intention, Individualized Instruction, Electronic Learning, Distance Education
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Artur Strzelecki – Interactive Learning Environments, 2024
ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Technology Uses in Education
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Shuxia Yang; Rui Wang; Bing Mei – Interactive Learning Environments, 2024
Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance…
Descriptors: Foreign Countries, Student Attitudes, Telecommunications, Handheld Devices
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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
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Ashrafi, Amir; Zareravasan, Ahad; Rabiee Savoji, Sogol; Amani, Masoumeh – Interactive Learning Environments, 2022
In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors…
Descriptors: College Students, Intention, Learning Management Systems, Educational Technology
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Cole, Andrew W.; Lennon, Lauren; Weber, Nicole L. – Interactive Learning Environments, 2021
Student engagement in online courses may be more ambiguous, and complex to understand than in face-to-face (FtF) classrooms settings. Without regular FtF interaction, instructors may feel unable to accurately gauge student engagement, and respond accordingly. This research explored student perceptions of online active learning practices (Koohang,…
Descriptors: College Students, Student Attitudes, Active Learning, Learner Engagement
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Al-Rahmi, Waleed Mugahed; Yahaya, Noraffandy; Alturki, Uthman; Alrobai, Amen; Aldraiweesh, Ahmed A.; Omar Alsayed, Alhuseen; Kamin, Yusri Bin – Interactive Learning Environments, 2022
Social media (SM) provide new opportunities to foster collaboration and engagement between students. However, the moderating effect of cyberstalking and cyberbullying on the relationship between students' academic performance and collaborative learning has not yet been addressed. Therefore, this study aims to bridge the literature gap concerning…
Descriptors: Social Media, Cooperative Learning, Predictor Variables, Academic Achievement
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Maryam Nasser AL-Nuaimi; Omar Said Al Sawafi; Sohail Iqbal Malik; Rana Saeed Al-Maroof – Interactive Learning Environments, 2024
Despite the disruptive effects of COVID-19 on higher education institutions, the pandemic has enforced the intensive and sustained integration of new digital technologies and platforms into Education, a case that has instigated new contexts for online learning research. A considerable proportion of empirical literature advocates that perceived…
Descriptors: Educational Technology, Technology Uses in Education, Learning Management Systems, Undergraduate Students
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Shih, Meilun; Liang, Jyh-Chong; Tsai, Chin-Chung – Interactive Learning Environments, 2019
The flipped classroom has gained a great deal of attention in educational research and practice in recent years. The purposes of this study are to understand the relationship between students' online self-regulated learning (SRL) and their perceptions of learning in a flipped classrooms (FC), to identify possible mediators in this relationship,…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology
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Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction
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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
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Wong, Kung-Teck; Teo, Timothy; Goh, Pauline Swee Choo – Interactive Learning Environments, 2015
The effective use of an interactive whiteboard (IWB) in teacher-education institutions depends strongly on student teachers' intention of using it. Despite the recent surge in published research on the widespread applications for IWBs in teaching and learning, few have developed a model to elucidate the factors which influence student teachers'…
Descriptors: Foreign Countries, Visual Aids, Educational Technology, Interactive Video
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Hung, Shao-Ting Alan; Huang, Heng-Tsung Danny – Interactive Learning Environments, 2016
The study investigated the usefulness of blogs in evaluating English-as-a-Foreign-Language learners' oral performance and explored their reactions toward using blogs as a learning and assessment tool for English-speaking performance. Fifty-one college students participated in a semester-long blog project, and each uploaded five audio entries to…
Descriptors: Electronic Publishing, English (Second Language), Language Skills, College Students
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Shin, Dong-Hee; An, Hyeri; Kim, Jang Hyun – Interactive Learning Environments, 2016
The use of a second screen can enhance information processing and the execution of search tasks within a given period. In this study, we examined the learner's attentional shift (AS) between two screens and controlled secondary tasks (STs) in the media multitasking setting and its effect on the learning process. In particular, we analyzed how…
Descriptors: Cognitive Processes, Search Strategies, Attention Control, Learning Processes
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