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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
Gibson, Keith – Writing Instructor, 2007
In this article, the author argues that the computer/artificial intelligence (AI) metaphor dominates current thinking about the operation of the mind among educators and the public, and that the metaphor limits one's understanding of how the mind really works to detrimental effect. In particular, the author posits that ideas about literacy are…
Descriptors: Figurative Language, Standardized Tests, Computers, Artificial Intelligence
Rey-Lopez, Marta; Brusilovsky, Peter; Meccawy, Maram; Diaz-Redondo, Rebeca; Fernandez-Vilas, Ana; Ashman, Helen – International Journal on E-Learning, 2008
Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects.…
Descriptors: Instructional Design, Integrated Learning Systems, Educational Technology, Artificial Intelligence
Durlach, Paula J., Ed; Lesgold, Alan M., Ed. – Cambridge University Press, 2012
This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less…
Descriptors: Expertise, Educational Strategies, Semantics, Intelligent Tutoring Systems
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
Grimes, Douglas; Warschauer, Mark – Journal of Technology, Learning, and Assessment, 2010
Automated writing evaluation (AWE) software uses artificial intelligence (AI) to score student essays and support revision. We studied how an AWE program called MY Access![R] was used in eight middle schools in Southern California over a three-year period. Although many teachers and students considered automated scoring unreliable, and teachers'…
Descriptors: Automation, Writing Evaluation, Essays, Artificial Intelligence
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
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
Pavlekovic, Margita; Zekic-Susac, Marijana; Djurdjevic, Ivana – Computers & Education, 2009
This paper compares the efficiency of two intelligent methods: expert systems and neural networks, in detecting children's mathematical gift at the fourth grade of elementary school. The input space for the expert system and the neural network model consisted of 60 variables describing five basic components of a child's mathematical gift…
Descriptors: Gifted, Psychological Evaluation, Artificial Intelligence, Grade 4
Chakrabarti, Dilip Kumar; Chakraborty, Pinaki – Journal of Agricultural Education and Extension, 2007
Mango ("Mangifera indica") is a popular fruit and an important cash crop of southeast Asia. The mango malformation disease has been responsible for the degraded yield of the crop now for a long time (Kumar and Chakrabarti, 1997). The disease is difficult to cure and often takes the shape of an epidemic. Though much study has been done…
Descriptors: Disease Control, Artificial Intelligence, Computer Software, Plants (Botany)
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
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
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
Mendez, Juan A.; Gonzalez, Evelio J. – Computers & Education, 2010
As it happens in other fields of engineering, blended learning is widely used to teach process control topics. In this paper, the inclusion of a reactive element--a Fuzzy Logic based controller--is proposed for a blended learning approach in an introductory control engineering course. This controller has been designed in order to regulate the…
Descriptors: Online Courses, Web Based Instruction, Internet, Blended Learning
El-Alfy, El-Sayed M.; Abdel-Aal, Radwan E. – Computers & Education, 2008
Recent advances in educational technologies and the wide-spread use of computers in schools have fueled innovations in test construction and analysis. As the measurement accuracy of a test depends on the quality of the items it includes, item selection procedures play a central role in this process. Mathematical programming and the item response…
Descriptors: Test Items, Item Analysis, Educational Technology, Test Construction

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