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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Poitras, Eric G.; Lajoie, Susanne P.; Doleck, Tenzin; Jarrell, Amanda – Educational Technology & Society, 2016
Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…
Descriptors: Intelligent Tutoring Systems, Data, Data Analysis, Medical Evaluation
Chadli, Abdelhafid; Bendella, Fatima; Tranvouez, Erwan – Educational Technology & Society, 2015
In this paper we present an Agent-based evaluation approach in a context of Multi-agent simulation learning systems. Our evaluation model is based on a two stage assessment approach: (1) a Distributed skill evaluation combining agents and fuzzy sets theory; and (2) a Negotiation based evaluation of students' performance during a training…
Descriptors: Learning Motivation, Student Evaluation, Skills, Simulation
Ouwehand, Kim; van Gog, Tamara; Paas, Fred – Educational Technology & Society, 2015
Research suggests that learners will likely spend a substantial amount of time looking at the model's face when it is visible in a video-based modeling example. Consequently, in this study we hypothesized that learners might not attend timely to the task areas the model is referring to, unless their attention is guided to such areas by the model's…
Descriptors: Video Technology, Models, Eye Movements, Nonverbal Communication
Li, Yanyan; Huang, Zhinan; Jiang, Menglu; Chang, Ting-Wen – Educational Technology & Society, 2016
Incorporating scientific fundamentals via engineering through a design-based methodology has proven to be highly effective for STEM education. Engineering design can be instantiated for learning as they involve mental and physical stimulation and develop practical skills especially in solving problems. Lego bricks, as a set of toys based on design…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Elementary School Science
Horiguchi, Tomoya; Imai, Isao; Toumoto, Takahito; Hirashima, Tsukasa – Educational Technology & Society, 2014
Error-based simulation (EBS) has been developed to generate phenomena by using students' erroneous ideas and also offers promise for promoting students' awareness of errors. In this paper, we report the evaluation of EBS used in learning "normal reaction" in a junior high school. An EBS class, where students learned the concept…
Descriptors: Simulation, Error Correction, Learning Processes, Misconceptions
Melero, Javier; Hernandez-Leo, Davinia – Educational Technology & Society, 2014
Multiple evidences in the Technology-Enhanced Learning domain indicate that Game-Based Learning can lead to positive effects in students' performance and motivation. Educational games can be completely virtual or can combine the use of physical objects or spaces in the real world. However, the potential effectiveness of these approaches…
Descriptors: Educational Technology, Educational Games, Puzzles, Teaching Methods
Fournier-Viger, Philippe; Faghihi, Usef; Nkambou, Roger; Nguifo, Engelbert Mephu – Educational Technology & Society, 2010
We propose to mine temporal patterns in Intelligent Tutoring Systems (ITSs) to uncover useful knowledge that can enhance their ability to provide assistance. To discover patterns, we suggest using a custom, sequential pattern-mining algorithm. Two ways of applying the algorithm to enhance an ITS's capabilities are addressed. The first is to…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Tutoring, Mathematics
Kuo, Fan-Ray; Hwang, Gwo-Jen; Chen, Szu-Chuang; Chen, Sherry Y. – Educational Technology & Society, 2012
Enhancing students' problem-solving abilities has been recognized as an important and challenging issue for technology-enhanced learning. Thus, previous research has attempted to address this issue by developing various mechanisms, among which a cognitive apprenticeship model can particularly enhance students' abilities. However, it is not clear…
Descriptors: Apprenticeships, Cognitive Style, Problem Solving, Cooperative Learning
Amory, Alan – Educational Technology & Society, 2010
This article examined, through a Cultural Historical Activity Theory lens, how immersive- or pervasive environments and pedagogical agents could more easily support social collaboration as foundation of contemporary learning theory. It is argued that the fundamentalism-liberationism contradiction (learn "from" versus learn "with" technology) is no…
Descriptors: Learning Theories, Instructional Design, Educational Technology, Social Networks
El-Bishouty, Moushir M.; Ogata, Hiroaki; Rahman, Samia; Yano, Yoneo – Educational Technology & Society, 2010
Social networks are helpful for people to solve problems by providing useful information. Therefore, the importance of mobile social software for learning has been supported by many researches. In this research, a model of personalized collaborative ubiquitous learning environment is designed and implemented in order to support learners doing…
Descriptors: Social Networks, Social Support Groups, Problem Solving, Access to Information
Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
Barojas, Jorge – Educational Technology & Society, 2004
A problem solving protocol is described and then applied to a teacher training problematic situation in science and technology education. The problem consists of improving a learning community involved in education research, development and communication. Some remarks concerning the strengths and limitations of using the protocol are made in…
Descriptors: Experiential Learning, Problem Solving, Technology Education, Science Education
Kuo, Rita; Lien, Wei-Peng; Chang, Maiga; Heh, Jia-Sheng – Educational Technology & Society, 2004
This paper proposes a methodology to calculate both the difficulty of the basic problems and the difficulty of solving a problem. The method to calculate the difficulty of problem is according to the process of constructing a problem, including Concept Selection, Unknown Designation, and Proposition Construction. Some necessary measures observed…
Descriptors: Problem Solving, Identification, Planning, Difficulty Level
Lu, Chun-Hung; Wu, Chia-Wei; Wu, Shih-Hung; Chiou, Guey-Fa; Hsu, Wen-Lian – Educational Technology & Society, 2005
This paper presents a new model for simulating procedural knowledge in the problem solving process with our ontological system, InfoMap. The method divides procedural knowledge into two parts: process control and action performer. By adopting InfoMap, we hope to help teachers construct curricula (declarative knowledge) and teaching strategies by…
Descriptors: Problem Solving, Teaching Methods, Models, Educational Games

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