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Hangyan Yu; Jie Hu – Interactive Learning Environments, 2023
In the digital era, traditional communication has undergone a drastic transformation into computer-mediated communication (CMC), which can be classified into synchronous CMC (SCMC) and asynchronous CMC (ASCMC). This study compared the effects of extracurricular CMC among students about schoolwork on students' digital reading achievement between…
Descriptors: Reading Achievement, Synchronous Communication, Asynchronous Communication, Computer Mediated Communication
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Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
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Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
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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
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Li, Cheng-Hsuan; Wu, Huey-Min; Kuo, Bor-Chen; Yang, Yu-Mao; Lin, Chin-Kai; Wang, Wei-Hsiang – Interactive Learning Environments, 2018
The purpose of this study is to explore the validity of the assessment tool. The purposive sampling method is applied in this research on a total of 551 preschool children between 4 and 6 years old. Their ages range from 46 to 81 months, with an average age of 63.9 months (SD = 7.58). The assessment tool used in this research is the…
Descriptors: Test Validity, Chinese, Psychomotor Skills, Preschool Children
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Gutiérrez-Santiuste, Elba; Gallego-Arrufat, María-Jesús – Interactive Learning Environments, 2017
The study analyzes the type and quantity of co-occurrence of social, cognitive, and teaching presence in a Community of Inquiry (CoI). Content analysis of the virtual educational communication shows units of analysis that must be assigned to more than one category. By crossing the categories of the CoI model, we observe that Social Presence is…
Descriptors: Communities of Practice, Inquiry, Content Analysis, Computer Mediated Communication
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Hwang, Gwo-Haur; Chen, Beyin; Chen, Ru-Shan; Wu, Ting-Ting; Lai, Yu-Ling – Interactive Learning Environments, 2019
Competitive game-based learning has been widely discussed in terms of its positive and negative impacts on learners' learning effectiveness and learning behavior. Although different types of games require different kinds of knowledge to accomplish the task via competition, few studies have considered that knowledge types, such as procedural…
Descriptors: Student Behavior, Adoption (Ideas), Competition, Game Based Learning
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Kazanidis, Ioannis; Theodosiou, Theodosios; Petasakis, Ioannis; Valsamidis, Stavros – Interactive Learning Environments, 2016
Database files and additional log files of Learning Management Systems (LMSs) contain an enormous volume of data which usually remain unexploited. A new methodology is proposed in order to analyse these data both on the level of both the courses and the learners. Specifically, "regression analysis" is proposed as a first step in the…
Descriptors: Foreign Countries, Online Courses, Course Evaluation, Electronic 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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Wolff, Annika; Mulholland, Paul; Zdrahal, Zdenek – Interactive Learning Environments, 2014
This paper describes an approach for supporting inquiry learning from source materials, realised and tested through a tool-kit. The approach is optimised for tasks that require a student to make interpretations across sets of resources, where opinions and justifications may be hard to articulate. We adopt a dialogue-based approach to learning…
Descriptors: Inquiry, Dialogs (Language), Feedback (Response), Web 2.0 Technologies