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Scheuer, Oliver; Loll, Frank; Pinkwart, Niels; McLaren, Bruce M. – International Journal of Computer-Supported Collaborative Learning, 2010
Argumentation is an important skill to learn. It is valuable not only in many professional contexts, such as the law, science, politics, and business, but also in everyday life. However, not many people are good arguers. In response to this, researchers and practitioners over the past 15-20 years have developed software tools both to support and…
Descriptors: Feedback (Response), Persuasive Discourse, Literature Reviews, Cooperative Learning
Askar, Petek; Altun, Arif – Educational Technology & Society, 2009
A number of studies emphasized the need to capture learners' interaction patterns in order to personalize their learning process as they study through learning objects. In education context, learning materials are designed based on pre-determined expectations and learners are evaluated to what extent they master these expectations. Representation…
Descriptors: Feedback (Response), Elementary Secondary Education, Thinking Skills, Expectation
Inan, Fethi A.; Flores, Raymond; Ari, Fatih; Arslan-Ari, Ismahan – Journal of Interactive Learning Research, 2011
The purpose of this study was to document the design and development of an adaptive system which individualizes instruction such as content, interfaces, instructional strategies, and resources dependent on two factors, namely student motivation and prior knowledge levels. Combining adaptive hypermedia methods with strategies proposed by…
Descriptors: Electronic Learning, Educational Strategies, Learning Theories, Instructional Design
Moridis, Christos N.; Economides, Anastasios A. – Computers & Education, 2009
Building computerized mechanisms that will accurately, immediately and continually recognize a learner's affective state and activate an appropriate response based on integrated pedagogical models is becoming one of the main aims of artificial intelligence in education. The goal of this paper is to demonstrate how the various kinds of evidence…
Descriptors: Prediction, Artificial Intelligence, Inferences, Psychological Patterns
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
Lavoue, Elise; George, Sebastien; Prevot, Patrick – Behaviour & Information Technology, 2012
In this article, we present a co-adaptive design approach named TE-Cap (Tutoring Experience Capitalisation) that we applied for the development of an assistance environment for tutors. Since tasks assigned to tutors in educational contexts are not well defined, we are developing an environment which responds to needs which are not precisely…
Descriptors: Foreign Countries, Tutors, Tutoring, College Faculty
Verginis, Ilias; Gouli, Evangelia; Gogoulou, Agoritsa; Grigoriadou, Maria – IEEE Transactions on Learning Technologies, 2011
The paper presents the facilities offered by the open learner model maintained in the web-based, adaptive, activity-oriented learning environment SCALE (Supporting Collaboration and Adaptation in a Learning Environment), in order to guide online students who become disengaged and support their reengagement. The open learner model (OLM_SCALE)…
Descriptors: Foreign Countries, Educational Technology, Program Effectiveness, Introductory Courses
Lynch, Collin; Ashley, Kevin D.; Pinkwart, Niels; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2009
In this paper we consider prior definitions of the terms "ill-defined domain" and "ill-defined problem". We then present alternate definitions that better support research at the intersection of Artificial Intelligence and Education. In our view both problems and domains are ill-defined when essential concepts, relations, or criteria are un- or…
Descriptors: Definitions, Artificial Intelligence, Problem Solving, Educational Research
Pontes, Elvis, Ed.; Silva, Anderson, Ed.; Guelfi, Adilson, Ed.; Kofuji, Sergio Takeo, Ed. – InTech, 2012
With the resources provided by communication technologies, E-learning has been employed in multiple universities, as well as in wide range of training centers and schools. This book presents a structured collection of chapters, dealing with the subject and stressing the importance of E-learning. It shows the evolution of E-learning, with…
Descriptors: Foreign Countries, Educational Technology, Virtual Classrooms, Program Effectiveness
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
Li, Liang-Yi; Chen, Gwo-Dong – Educational Technology & Society, 2009
Students can practice skills and acquire knowledge by doing coursework. However, in conventional coursework activities, each student is assigned the same exercises, without considering learners' diversity. Moreover, students typically have difficulty in receiving assistance for completing their exercises after class. Therefore, some students…
Descriptors: Foreign Countries, Undergraduate Study, Computer Science Education, Intelligent Tutoring Systems
Blake, M. Brian; Butcher-Green, Jerome D. – Computers & Education, 2009
Training individuals from diverse backgrounds and in changing environments requires customized training approaches that align with the individual learning styles and ever-evolving organizational needs. Scaffolding is a well-established instructional approach that facilitates learning by incrementally removing training aids as the learner…
Descriptors: Familiarity, Adult Learning, Simulated Environment, Trainees
Lin, Huan-Yu; Tseng, Shian-Shyong; Weng, Jui-Feng; Su, Jun-Ming – Educational Technology & Society, 2009
With the development of e-learning technology, many specifications of instructional design have been proposed to make learning activity sharable and reusable. With the specifications and sufficient learning resources, the researches further focus on how to provide learners more appropriate learning activities to improve their learning performance.…
Descriptors: Electronic Learning, Science Instruction, Scaffolding (Teaching Technique), Misconceptions
Kravcik, Milos; Gasevic, Dragan – Journal of Interactive Media in Education, 2007
In the area of technology-enhanced learning reusability and interoperability issues essentially influence the productivity and efficiency of learning and authoring solutions. There are two basic approaches how to overcome these problems--one attempts to do it via standards and the other by means of the Semantic Web. In practice, these approaches…
Descriptors: Knowledge Representation, Computer Software, Educational Technology, Electronic Learning
Caballe, Santi, Ed.; Xhafa, Fatos, Ed.; Daradoumis, Thanasis, Ed.; Juan, Angel A., Ed. – Information Science Reference, 2009
Over the last decade, the needs of educational organizations have been changing in accordance with increasingly complex pedagogical models and with the technological evolution of e-learning environments with very dynamic teaching and learning requirements. This book explores state-of-the-art software architectures and platforms used to support…
Descriptors: Electronic Learning, School Activities, Field Studies, Educational Technology

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