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Cheng, Chao-Yang; Chen, Jim-Ming; Chen, Sherry Y. – Interactive Learning Environments, 2023
Online tests offer many advantages but they still belong to assessment, which may make learners have anxiety. Thus, students may experience certain emotion. Academic emotion is a branch of emotion and has great effects on student learning. Such effects can be associated with individual differences, especially prior knowledge. To this end, this…
Descriptors: College Students, Prior Learning, Academic Achievement, Emotional Response
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Cai, Huiying; Gu, Xiaoqing – Interactive Learning Environments, 2022
This study examined the effects of shared representational guidance (collaborative textural representative tool vs. collaborative graphical representative tool; TR vs. GR) and prior knowledge (low vs. high; LPK vs. HPK) on different levels of individuals' understanding of specific-domain knowledge after collaborative problem solving (CPS). A total…
Descriptors: Foreign Countries, Education Majors, College Students, Knowledge Level
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Gwo-Haur Hwang; Beyin Chen; Shih-Pei Chen – Interactive Learning Environments, 2024
This study proposed a game-based flipped teaching approach and applied it to a HTML (HyperText Markup Language) course. We developed two versions of the pre-class content testing, one of which was game-based, using a "looking-through" game, and the other which was traditional, using a multiple-choice test. We conducted a teaching…
Descriptors: Flipped Classroom, Instructional Effectiveness, Teaching Methods, Prior Learning
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Sherry Y. Chen; Chia-Yi Tseng; Chao-Yang Cheng – Interactive Learning Environments, 2023
This study proposed a three-tier test to help students learn English grammar. To reduce students' anxiety, game-based learning was incorporated into the three-tier test, where personalization was also implemented to accommodate students' different needs. More specifically, we developed a Personalized Entertaining Three-Tier Test (PET3), which…
Descriptors: English (Second Language), Language Tests, Grammar, Game Based Learning
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Thomas K. F. Chiu – Interactive Learning Environments, 2024
Generative artificial intelligence (GenAI) tools have become increasingly accessible and have impacted school education in numerous ways. However, most of the discussions occur in higher education. In schools, teachers' perspectives are crucial for making sense of innovative technologies. Accordingly, this qualitative study aims to investigate how…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Standards
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Jung, Jaewon; Shin, Yoonhee; Zumbach, Joerg – Interactive Learning Environments, 2021
This study investigated the effects of pre-training types on the cognitive load, collaborative knowledge construction and level of learning in a computer-supported collaborative learning environment. Pre-training was provided to help learners optimise their cognitive load, build accurate shared-knowledge and achieve successful deep learning. The…
Descriptors: Cognitive Processes, Difficulty Level, Knowledge Level, Cooperative Learning
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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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Chen, Sherry Y.; Huang, Pei-Ren; Shih, Yu-Cheng; Chang, Li-Ping – Interactive Learning Environments, 2016
In the past decade, a number of personalized learning systems have been developed and they mainly focus on learners' prior knowledge. On the other hand, previous research suggested that gender differences and cognitive styles have great effects on student learning. To this end, this study examines how human factors, especially gender differences…
Descriptors: Prior Learning, Student Characteristics, Gender Differences, Cognitive Style
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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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Damnik, Gregor; Proske, Antje; Körndle, Hermann – Interactive Learning Environments, 2017
When teachers or instructors create computer-based learning environments, they often solely consider technical aspects of interactivity. As a consequence, learners' main role is to respond to requests of the learning environment (e.g. by answering multiple-choice questions). This aspect of interactivity is, however, not sufficient to understand…
Descriptors: Learning Activities, Constructivism (Learning), Interaction, Perspective Taking
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Cross, Simon; Whitelock, Denise – Interactive Learning Environments, 2017
The new pedagogical opportunities that massive open online course (MOOC) learning environments offer for the teaching of fee-paying students on university-accredited courses are of growing interest to educators. This paper presents a case study from a postgraduate-taught course at the Open University, UK, where a MOOC performed the dual role of a…
Descriptors: Foreign Countries, Open Universities, Fees, Student Attitudes
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Chuang, Chien-Pen; Jou, Min; Lin, Yen-Ting; Lu, Cheng-Tien – Interactive Learning Environments, 2015
Electronic engineering industries require technical specialists to operate precision electronic instruments. However, limitations in course designs and equipment availability mean that only a few students are able to use the equipment in practical lessons within a limited timeframe. Also, instruction of techniques and skills are still mostly…
Descriptors: Foreign Countries, Engineering Education, Technical Education, Context Effect
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Asoodar, Maryam; Marandi, Seyyedeh Susan; Vaezi, Shahin; Desmet, Piet – Interactive Learning Environments, 2016
In this study we explored the effect of podcasting on the motivation of the students in an online English for Academic Purposes (EAP) course at the university level (N = 179). By using a mixed-method approach, we analyzed the data collected on the learners' impressions about using podcasts as a learning tool. The particular aim of this study was…
Descriptors: Foreign Countries, English for Academic Purposes, Electronic Learning, Handheld Devices
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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
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Yang, Jie Chi; Chen, Sherry Y. – Interactive Learning Environments, 2012
Recently, multimedia-based learning is widespread in educational settings. A number of studies investigate how to develop effective techniques to manage a huge volume of video sources, such as summarization and recommendation. However, few studies examine how these techniques affect learners' perceptions in multimedia learning systems. This…
Descriptors: Foreign Countries, Computer Assisted Instruction, Educational Technology, Video Technology