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Magnisalis, I.; Demetriadis, S.; Karakostas, A. – IEEE Transactions on Learning Technologies, 2011
This study critically reviews the recently published scientific literature on the design and impact of adaptive and intelligent systems for collaborative learning support (AICLS) systems. The focus is threefold: 1) analyze critical design issues of AICLS systems and organize them under a unifying classification scheme, 2) present research evidence…
Descriptors: Evidence, Instructional Design, Bibliographic Databases, Classification
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Orey, Michael, Ed.; Jones, Stephanie A., Ed.; Branch, Robert Maribe, Ed. – Educational Media and Technology Yearbook, 2013
As digital devices play a more critical role in daily life than ever, more opportunities arise for innovative learning technologies--a trend on full display in the "Educational Media and Technology Yearbook for 2012." This latest edition, volume 37, from the Association for Education, Communication, and Technology (AECT) notes the most…
Descriptors: Educational Technology, Technology Uses in Education, Design, Instructional Design
Kirschenbaum, Matthew – Chronicle of Higher Education, 2009
The author advocates that humanities scholars should seek and study programming languages. He believes that, increasingly, an appreciation of how complex ideas can be imagined and expressed as a set of formal procedures--rules, models, algorithms--in the virtual space of a computer will be an essential element of a humanities education. Students…
Descriptors: Programming Languages, Student Motivation, Artificial Intelligence, Computer Mediated Communication
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Botsios, Sotiris; Georgiou, Demetrius; Safouris, Nikolaos – Educational Technology & Society, 2008
In order to establish an online diagnostic system for Learning Style Estimation that contributes to the adaptation of learning objects, we propose an easily applicable expert system founded on Bayesian Networks. The proposed system makes use of Learning Style theories and associated diagnostic techniques, simultaneously avoiding certain error…
Descriptors: Cognitive Style, Hypermedia, Measures (Individuals), Artificial Intelligence
Rus, Vasile; Lintean, Mihai; Azevedo, Roger – International Working Group on Educational Data Mining, 2009
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…
Descriptors: Data Analysis, Prior Learning, Cognitive Structures, College Students
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Lin, Tzu-Chiang; Hsu, Ying-Shao; Cheng, Yeong-Jing – Turkish Online Journal of Educational Technology - TOJET, 2011
In this paper, the authors first discuss the main rationales of situated cognition and its connections with innovation in teacher education. The challenges that might occur in applying situated cognition in teacher education programs, including insufficient opportunities for cognition apprenticeship, limited social interactions, and constraints in…
Descriptors: Preservice Teacher Education, Teacher Education Programs, Educational Technology, Microteaching
Blumenstyk, Goldie – Chronicle of Higher Education, 2009
The still-unfolding economic crisis is bigger, more fundamental, and for good or ill, transformational for all of society. Yet the reaction in higher education has been, for the most part, strikingly timid. The timidity could be especially harmful considering all the challenges colleges already face, including the coming demographic shifts in the…
Descriptors: Social Change, Economic Change, Economic Climate, Economic Impact
Eldakak, Sam – Online Submission, 2012
Computers can help the range of ways learners build up their own perception. Students who collect data from the Internet can be self-directed and independent. They can select sources to study and the connections to follow. Relying on the bounds laid down by teachers, the students may be in full control of their subjects and their studies. Students…
Descriptors: Computer Uses in Education, Computer Software, Educational Technology, Multimedia Materials
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Theodoridou, Katerina – Educational Media International, 2011
The purpose of this study was to investigate the effects of an animated pedagogical agent on Spanish vocabulary learning. Furthermore, the study examined learners' reactions and attitudes towards the presence of the pedagogical agent in the web-based environments. A total of 47 university students enrolled in two fourth-semester Spanish classes…
Descriptors: Computer Assisted Instruction, Grounded Theory, Vocabulary Development, Learning Experience
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Li, Frederick W. B.; Lau, Rynson W. H.; Dharmendran, Parthiban – International Journal of Distance Education Technologies, 2010
Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials according to topics and levels of difficulties. Adaptive courses are then generated by extracting materials from the course structure to match the criteria specified in the…
Descriptors: Electronic Learning, Programming, Profiles, Student Characteristics
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Wallace, Scott A.; McCartney, Robert; Russell, Ingrid – Computer Science Education, 2010
Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…
Descriptors: Games, Intercollegiate Cooperation, Curriculum Design, Curriculum Implementation
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Cheong, France – Journal of Information Technology Education, 2008
While delivering the Intelligent Systems course, an elective course in the Master of Business Information Technology program at RMIT University, it was felt that there was a learning issue as students' learning seemed to be superficial. This perception was based on the questions students asked in class and the mechanical attitude they adopted…
Descriptors: Foreign Countries, Problem Based Learning, Metacognition, Graduate Study
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Easterday, Matthew W.; Aleven, Vincent; Scheines, Richard; Carver, Sharon M. – International Journal of Artificial Intelligence in Education, 2009
Policy problems like "What should we do about global warming?" are ill-defined in large part because we do not agree on a system to represent them the way we agree Algebra problems should be represented by equations. As a first step toward building a policy deliberation tutor, we investigated: (a) whether causal diagrams help students learn to…
Descriptors: Causal Models, Protocol Analysis, Tutors, Inferences
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Jensen, Michael – Chronicle of Higher Education, 2007
As the Web evolves, so will the ways people measure scholarly authority. Scholarly authority is being influenced by many of the features that have collectively been dubbed Web 2.0 by Tim O'Reilly and others, and what the author will call Authority 2.0 in order to explore more fully the shifts that seem likely in the near future. In Web 1.0,…
Descriptors: Access to Information, Communication (Thought Transfer), Scholarship, Internet
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