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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
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Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume – Interactive Learning Environments, 2023
Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…
Descriptors: Intelligent Tutoring Systems, Cognitive Style, Learner Engagement, Academic Achievement
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Recabarren, Matías; Corvalán, Benjamín; Villegas, Montserrat – Interactive Learning Environments, 2023
Studies have shown that the application of gamification has positive effects on motivation and learning. However, various meta-studies indicate that there is high volatility in the published results. The purpose of this study is to analyze whether the student's activity as gamers is related to these differences. A comparative study was conducted…
Descriptors: Video Games, Gamification, Student Motivation, Individual Differences
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Ding-Chau Wang; Yong-Ming Huang – Interactive Learning Environments, 2024
Tiny and affordable computers (e.g. Raspberry Pi and Arduino) have been widely applied to technology-enhanced hands-on learning (THL). However, little scholarly attention has been devoted to the key factors behind students' performance in THL contexts. Therefore, this study not only helped the participants learn computer science through THL, but…
Descriptors: Handheld Devices, Self Efficacy, Educational Technology, Computer Science Education
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Shaheen, Muhammad – Interactive Learning Environments, 2023
Outcome-based education (OBE) is uniquely adapted by most of the educators across the world for objective processing, evaluation and assessment of computing programs and its students. However, the extraction of knowledge from OBE in common is a challenging task because of the scattered nature of the data obtained through Program Educational…
Descriptors: Undergraduate Students, Programming, Computer Science Education, Educational Objectives
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Ramazan Yilmaz – Interactive Learning Environments, 2024
This research, students' technology acceptance, KSB, community of inquiry (CoI), and social interaction space situations were examined in collaborative learning where Zoom was used as a CSCL tool in computer programming courses, and the structural relationships between these variables were revealed. The research was carried out on 162 university…
Descriptors: Cooperative Learning, Technology Uses in Education, Technological Literacy, Student Attitudes
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Ozan Rasit Yürüm; Soner Yildirim; Tugba Taskaya-Temizel – Interactive Learning Environments, 2023
The purpose of this study is to develop an intervention framework based on video clickstream interactions for delivering superior user experience for video lectures. Apart from existing studies on data-driven interventions, this study focuses on video clickstream interactions to identify timely interventions for creating interactive video…
Descriptors: Video Technology, Computer Assisted Instruction, Intervention, Lecture Method
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Hassan, Muhammad Awais; Habiba, Ume; Majeed, Fiaz; Shoaib, Muhammad – Interactive Learning Environments, 2021
With the removal of the barriers of time and distance, E-learning platforms have attracted millions of learners, but these platforms are experiencing a significant drop-out ratio. One of the primary reasons for this problem is the lack of motivation among the learners because of the similar learning experience provided to them despite their…
Descriptors: Game Based Learning, Electronic Learning, Cooperative Learning, Integrated Learning Systems
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Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
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Brita-Paja, J. L.; Gregorio, C.; Llana, L.; Pareja, C.; Riesco, A. – Interactive Learning Environments, 2019
During the last years online education, in particular Massive Open Online Courses (MOOCs), has contributed to spread and popularize educational methodologies such as peer-review, automatic assessment, self-paced courses, self-evaluation, etc. Although these techniques can benefit face-to-face courses, most of them are not yet widely used in these…
Descriptors: Online Courses, Synchronous Communication, Undergraduate Study, Peer Evaluation
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Hsu, Ting-Chia – Interactive Learning Environments, 2018
To stimulate classroom interactions, this study employed two different smartphone application modes, providing an additional instant interaction channel in a flipped classroom teaching fundamental computer science concepts. One instant interaction mode provided the students (N = 36) with anonymous feedback in chronological time sequence, while the…
Descriptors: Interaction, Peer Relationship, Homework, Video Technology
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Wang, Yanqing; Liang, Yaowen; Liu, Luning; Liu, Ying – Interactive Learning Environments, 2016
Multi-peer assessment has often been used by teachers to reduce personal bias and make the assessment more reliable. This study reviews the design and development of multi-peer assessment systems that detect and solve two common issues in such systems: non-consensus among group members and personal radicalness in some assessments. A multi-peer…
Descriptors: Peer Evaluation, Programming Languages, Computer Science Education, Bias
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Tsai, Chia-Wen; Shen, Pei-Di; Chiang, I-Chun; Chen, Wen-Yu; Chen, Yi-Fen – Interactive Learning Environments, 2018
The application of online learning and educational technologies in higher education has changed teaching methods, the channels of delivering learning materials, and modes of communication between teachers and students. This study is aimed to improve learning effects and investigate, via quasi-experiments, the effects of web-mediated…
Descriptors: Foreign Countries, Undergraduate Students, Web Based Instruction, Cooperative Learning
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Liu, Tsung-Yu – Interactive Learning Environments, 2016
This study investigates how educational games impact on students' academic performance and multimedia flow experiences in a computer science course. A curriculum consists of five basic learning units, that is, the stack, queue, sort, tree traversal, and binary search tree, was conducted for 110 university students during one semester. Two groups…
Descriptors: Educational Games, Computer Simulation, Computer Software, Computer Science Education
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