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Al-Qaysi, Noor; Mohamad-Nordin, Norhisham; Al-Emran, Mostafa – Interactive Learning Environments, 2023
To identify the most frequent factors that showed significant results in the previous literature of social media, a quantitative systematic approach of 713 studies was conducted. The results showed that perceived enjoyment (PE), subjective norm (SN), self-efficacy (SE), perceived critical mass (PCM), facilitating conditions (FC), perceived…
Descriptors: Social Media, Higher Education, Student Behavior, Student Attitudes
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Wu, Shu-Jing; Han, Jiao; Sun, Fu-Rong; Wan, Rong-Gen; Zhao, Yu-Quan – Interactive Learning Environments, 2023
While flipped learning has attempted to explain the benefits of technology applied to educational settings, this study aims to validate research questions and test the theory of the learning strategies in flipped learning. A self-designed questionnaire, consisting of 17 critical indicators of online self-regulation, project-based learning and…
Descriptors: College Students, Learner Engagement, Competence, Flipped Classroom
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Wu, Wei-Long; Hsu, Yen; Yang, Qi-Fan; Chen, Jiang-Jie; Jong, Morris Siu-Yung – Interactive Learning Environments, 2023
In recent years, several researchers have introduced spherical video-based virtual reality (SVVR) into classroom teaching to help students learn different subjects. In SVVR learning, learners are typically presented with great autonomy over their learning process. Therefore, learners should engage in self-regulated strategy (SRS) learning in order…
Descriptors: Learning Strategies, Video Technology, Computer Simulation, Academic Achievement
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Xu, Xiaoshu; Zhu, Xiaoshen; Chan, Fai Man – Interactive Learning Environments, 2023
Personal Learning Environment (PLE) represents a shift of learning paradigm towards learner-centered pedagogy, where users become masters of their own learning. PLEs are best used by learners with Self-Regulated Learning (SRL) abilities. Previous research showed that learners felt lost or socially isolated in PLEs due to their limited SRL…
Descriptors: Educational Environment, Individualized Instruction, Pilot Projects, College Students
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Judy Shih, Hui-chia; Huang, Sheng-hui Cindy – Interactive Learning Environments, 2022
This study adopts a qualitative method in comparing EFL students' development of metacognitive knowledge and metacognitive strategy use in a university flipped classroom, as opposed to a regular classroom context. A total of 8 students (4 from each class) were each interviewed twice, once at the beginning and again at the end of the semester, in…
Descriptors: English (Second Language), Second Language Learning, Metacognition, Flipped Classroom
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Ruiz, Samara; Urretavizcaya, Maite; Rodríguez, Clemente; Fernández-Castro, Isabel – Interactive Learning Environments, 2020
A positive emotional state of students has proved to be essential for favouring student learning, so this paper explores the possibility of obtaining student feedback about the emotions they feel in class in order to discover emotion patterns that anticipate learning failures. From previous studies about emotions relating to learning processes, we…
Descriptors: College Students, Computer Science Education, Emotional Response, Student Reaction
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Huang, Wenyeh; Ho, Jonathan C. – Interactive Learning Environments, 2018
Considering a company's limited time and resources, an effective training method that improves employees' ability to make ethical decision is needed. Based on social cognitive theory, this study proposes that employing games in an ethics training program can help improve moral reasoning through actively engaging learners. The experimental design…
Descriptors: College Students, Moral Values, Thinking Skills, Learning Strategies
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Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
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Wei, Chun-Wang; Lin, Yi-Chun; Lin, Yen-Ting – Interactive Learning Environments, 2016
Clinical resources in nursing schools are always insufficient for satisfying the practice requirements of each student at the same time during a formal course session. Although several studies have applied information and communication technology to develop computer-based learning tools for addressing this problem, most of these developments lack…
Descriptors: Nursing Education, Clinical Experience, Web Based Instruction, Nursing Students
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Chang, Y. J.; Chang, Y. S. – Interactive Learning Environments, 2014
Blogs provide contextualization of the information which is vital to the process of peer support. Through dialogues initiated by blog authors and followed by readers, blog platforms build a viable base of shared experiences and mutual relationships. We employ blogs as interactive learning tools for communities of practice in higher education.…
Descriptors: Electronic Publishing, Web Sites, Usability, Blended Learning
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Huang, Yueh-Min; Huang, Yong-Ming; Liu, Chien-Hung; Tsai, Chin-Chung – Interactive Learning Environments, 2013
Web-based self-learning (WBSL) has received a lot of attention in recent years due to the vast amount of varied materials available in the Web 2.0 environment. However, this large amount of material also has resulted in a serious problem of cognitive overload that degrades the efficacy of learning. In this study, an information graphics method is…
Descriptors: Web 2.0 Technologies, Cognitive Processes, Difficulty Level, College Students
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Yusri, Ghazali; Rahimi, Nik Mohd; Shah, Parilah M.; Wah, Wan Haslina – Interactive Learning Environments, 2013
This study investigates cognitive and metacognitive strategies in learning oral Arabic among students at Universiti Teknologi MARA (UiTM), Malaysia. The concept of these strategies was derived from the self-regulated learning framework, which consists of five components, namely rehearsal, elaboration, organization, critical thinking, and…
Descriptors: Foreign Countries, Semitic Languages, Second Language Learning, Learning Strategies
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Bonestroo, Wilco J.; de Jong, Ton – Interactive Learning Environments, 2012
Self-regulated learners are expected to plan their own learning. Because planning is a complex task, it is not self-evident that all learners can perform this task successfully. In this study, we examined the effects of two planning support tools on the quality of created plans, planning behavior, task load, and acquired knowledge. Sixty-five…
Descriptors: Foreign Countries, Educational Technology, Preferences, Planning