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Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
Krouska, Akrivi; Troussas, Christos; Virvou, Maria – Journal of Computer Assisted Learning, 2019
Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e-learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e-learning is the…
Descriptors: Social Networks, Guidelines, Electronic Learning, Teacher Student Relationship
Ting, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
Karakostas, Anastasios; Demetriadis, Stavros – Educational Technology Research and Development, 2011
While adaptive collaboration support has become the focus of increasingly intense research efforts in the CSCL domain, scarce, however, remain the research-based evidence on pedagogically useful ideas on what and how to adapt during the collaborative learning activity. Based principally on two studies, this work presents a compilation of…
Descriptors: Graduate Students, Undergraduate Students, Cooperative Learning, Educational Technology
Chong, Stefanie Xinyi; Lee, Chien-Sing – Educational Technology Research and Development, 2012
There are many evidences of motivational and educational benefits from the use of learning software. However, there is a lack of study with regards to the teaching of creative writing. This paper aims to bridge the following gaps: first, the need for a proper framework for scaffolding creative writing through learning software; second, the lack of…
Descriptors: Story Grammar, Creativity, Creative Writing, Educational Benefits
Hsieh, Tung-Cheng; Wang, Tzone-I; Su, Chien-Yuan; Lee, Ming-Che – Educational Technology & Society, 2012
As a nearly global language, English as a Foreign Language (EFL) programs are essential for people wishing to learn English. Researchers have noted that extensive reading is an effective way to improve a person's command of English. Choosing suitable articles in accordance with a learner's needs, interests and ability using an e-learning system…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Reading Materials
Konert, Johannes; Richter, Kristina; Mehm, Florian; Gobel, Stefan; Bruder, Regina; Steinmetz, Ralf – Educational Technology & Society, 2012
The basis for individual students' instructional support by teachers is an individual diagnosis of one's learning advances and difficulties. Even though sophisticated diagnostic tools exist, it remains an open question how diagnosis and learning can be merged into a consistent pedagogical method to support both teachers and students with feedback…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Social Networks, Educational Games
Lin, Hao-Chiang Koong; Wang, Cheng-Hung; Chao, Ching-Ju; Chien, Ming-Kuan – Turkish Online Journal of Educational Technology - TOJET, 2012
Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners'…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Artificial Intelligence, Focus Groups
Gonzalez, Jose A.; Jover, Lluis; Cobo, Erik; Munoz, Pilar – Computers & Education, 2010
Background: e-status is a web-based tool able to generate different statistical exercises and to provide immediate feedback to students' answers. Although the use of Information and Communication Technologies (ICTs) is becoming widespread in undergraduate education, there are few experimental studies evaluating its effects on learning. Method: All…
Descriptors: Feedback (Response), Undergraduate Study, Introductory Courses, Computer Assisted Instruction
Zhao, Guopeng; Ailiya; Shen, Zhiqi – Educational Technology & Society, 2012
Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses the limitation of existing teachable agents and incorporates intrinsic motivation to the agent model to enable teachable agents with initiative…
Descriptors: Foreign Countries, Instructional Design, Artificial Intelligence, Electronic Learning
Jeremic, Zoran; Jovanovic, Jelena; Gasevic, Dragan – Educational Technology & Society, 2009
The evaluation of intelligent tutoring systems (ITSs) is an important though often neglected stage of ITS development. There are many evaluation methods available but literature does not provide clear guidelines for the selection of evaluation method(s) to be used in a particular context. This paper describes the evaluation study of DEPTHS, an…
Descriptors: Evaluation Methods, Instructional Effectiveness, Guidelines, Student Attitudes

Del Soldato, Teresa; Du Boulay, Benedict – Journal of Artificial Intelligence in Education, 1995
Discusses motivation-based tactics and contrasts them with instruction based on student's assumed state of knowledge. Describes an intelligent tutoring system, MORE (MOtivational REactive plan), which combines motivational planning and knowledge domain issues, and a formative evaluation of the tutor teaching Prolog debugging. (Author/JKP)
Descriptors: Computer Assisted Instruction, Computer Software Evaluation, Intelligent Tutoring Systems, Models
Tseng, Shian-Shyong; Su, Jun-Ming; Hwang, Gwo-Jen; Hwang, Gwo-Haur; Tsai, Chin-Chung; Tsai, Chang-Jiun – Educational Technology & Society, 2008
The popularity of web-based learning systems has encouraged researchers to pay attention to several new issues. One of the most important issues is the development of new techniques to provide personalized teaching materials. Although several frameworks or methods have been proposed, it remains a challenging issue to design an easy-to-realize…
Descriptors: Computer Assisted Instruction, Educational Technology, Individualized Instruction, Intelligent Tutoring Systems
Baghaei, Nilufar; Mitrovic, Antonija; Irwin, Warwick – International Journal of Computer-Supported Collaborative Learning, 2007
We present COLLECT-UML, a constraint-based intelligent tutoring system (ITS) that teaches object-oriented analysis and design using Unified Modelling Language (UML). UML is easily the most popular object-oriented modelling technology in current practice. While teaching how to design UML class diagrams, COLLECT-UML also provides feedback on…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Cooperation, Problem Solving

McManus, Margaret M.; Aiken, Robert M. – Journal of Artificial Intelligence in Education, 1995
Undergraduate students used an intelligent collaborative learning system with the Jigsaw method of cooperative learning, and were monitored by the group leader as they developed algorithmic projects. The system components and operation are described. Students thought that the system, although slow, was easy to use and useful for collaborative…
Descriptors: Computer Assisted Instruction, Computer Software Evaluation, Cooperative Learning, Higher Education
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