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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
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Wu, Lin-Jung; Chang, Kuo-En – Interactive Learning Environments, 2023
To achieve adaptive learning, a dynamic assessment system equipped with a cognitive diagnosis was developed for this study, which adopts a three-stage model of diagnosis-intervention-assessment. To examine how this system influenced spatial geometry learning, the study used a quasi-experimental method to investigate student learning outcomes…
Descriptors: Cognitive Measurement, Alternative Assessment, Spatial Ability, Geometry
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Shian-Shyong Tseng; Tsung-Yu Yang; Wen-Chung Shih; Bo-Yang Shan – Interactive Learning Environments, 2024
In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…
Descriptors: Educational Games, Computer Security, Computer Science Education, Game Based Learning
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Li, Jiansheng; Lin, Yuyu; Sun, Mingzhu; Shadiev, Rustam – Interactive Learning Environments, 2023
This study examined whether socially shared regulation of learning (SSRL) enhances students' algorithmic thinking performance, promotes learning participation and improves students' learning attitudes through game-based collaborative learning. The students learned algorithmic knowledge and completed programing tasks using Kodu, a new visual…
Descriptors: Cooperative Learning, Game Based Learning, Educational Environment, Algorithms
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Sung, Han-Yu; Hwang, Gwo-Jen; Chen, Chin-Yu; Liu, Wen-Xiu – Interactive Learning Environments, 2022
The Analects of Confucius has been identified as an important and influential philosophy around the globe. However, in traditional instruction, it is difficult to express the spirit of this philosophy. Therefore, many students consider it as a big challenge to study the Analects of Confucius. To cope with this problem, in this study, an…
Descriptors: Electronic Learning, Learning Processes, Confucianism, Philosophy
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Jia-Hua Zhao; Patcharin Panjaburee; Gwo-Jen Hwang; Wararat Wongkia – Interactive Learning Environments, 2024
Scholars have suggested English classrooms with sufficient context and fun activities to increase English performance and promote learning motivation. With the rapid growth of technology-enhanced learning, virtual reality (VR) has become increasingly popular in English learning. Using VR without a well-designed learning environment, however, may…
Descriptors: Foreign Countries, Metacognition, Game Based Learning, Computer Simulation
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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Liang, Chih-Ping; She, Hsiao-Ching – Interactive Learning Environments, 2023
Representation is widely viewed as central to mathematical problem solving, while online scaffolding is considered helpful in supporting learners' progress from actual to potential developmental levels of mathematics understanding. Therefore, this study investigated the effectiveness of employing online single vs. multiple representational…
Descriptors: Mathematics Instruction, Eye Movements, Teaching Methods, Scaffolding (Teaching Technique)
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Liu, Min; Li, Chenglu; Pan, Zilong; Pan, Xin – Interactive Learning Environments, 2023
More research is needed on how to best use analytics to support educational decisions and design effective learning environments. This study was to explore and mine the data captured by a digital educational game designed for middle school science to understand learners' behavioral patterns in using the game, and to use evidence-based findings to…
Descriptors: Computer Games, Educational Games, Instructional Design, Instructional Effectiveness
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Yi-Fan Liu; Wu-Yuin Hwang; Chia-Hsuan Su – Interactive Learning Environments, 2024
Drama learning is helpful for English speaking, however, few studies provided students with opportunities to practice drama conversations individually. This study proposed a Context-Awareness Smart Learning Mechanism (CASLM) and integrated into SmartVpen that consisted of context-aware learning content, context-aware input assistance, oral…
Descriptors: Context Effect, Artificial Intelligence, Second Language Learning, English (Second Language)
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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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Wang, Qi; Ding, Guozhu; Yu, Shengquan – Interactive Learning Environments, 2019
Subject ontology can help implement the structured organization of knowledge for online learners and thus plays an important role in the learning process. However, building ontologies by experts is time-consuming, and the adaptation of such ontologies to different contexts might be a problem. Crowdsourcing, which allows users to build and refine…
Descriptors: Taxonomy, Electronic Learning, Creative Activities, Learning Processes
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Yu, Fu-Yun – Interactive Learning Environments, 2022
An online system leveraging self-explanation was developed. The theoretical basis and design principles guiding the development of the system were explicated. Four evaluation studies were conducted to assess the student-generated explanations component accompanying student-generated questions (SQG) and the embedded designs. The analyzed data…
Descriptors: Integrated Learning Systems, Teaching Methods, Peer Relationship, Computer Mediated Communication
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Cheng, Ya-Wen; Wang, Yuping; Cheng, I-Ling; Chen, Nian-Shing – Interactive Learning Environments, 2019
Collaborative learning has long been proved to be a crucial agent for enhancing students' social skills, problem-solving abilities and individual learning performance. Understanding how students move from one phase to another in their collaboration process can inform educators of how best to facilitate such learning. However, this is still an area…
Descriptors: Interaction, Computer Simulation, Mathematics Activities, Computer Games
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Chang, Hsin-Yi – Interactive Learning Environments, 2017
Two investigations were conducted in this study. In the first experiment, the effects of two types of interactivity with a computer simulation were compared: experimentation versus observation interactivity. Experimentation interactivity allows students to use simulations to conduct virtual experiments, whereas observation interactivity allows…
Descriptors: Computer Simulation, Interaction, Scaffolding (Teaching Technique), Experiments
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