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Koong, Chorng-Shiuh; Wu, Chi-Ying – Computers & Education, 2010
Multiple intelligences, with its hypothesis and implementation, have ascended to a prominent status among the many instructional methodologies. Meanwhile, pedagogical theories and concepts are in need of more alternative and interactive assessments to prove their prevalence (Kinugasa, Yamashita, Hayashi, Tominaga, & Yamasaki, 2005). In general,…
Descriptors: Multiple Intelligences, Test Items, Grading, Programming
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Scott, Elsje – Journal of Information Technology Education, 2008
The Computing Curricula (2005) place Information Systems (IS) at the intersection of exact sciences (e.g. General Systems Theory), technology (e.g. Computer Science), and behavioral sciences (e.g. Sociology). This presents particular challenges for teaching and learning, as future IS professionals need to be equipped with a wide range of…
Descriptors: Experiential Learning, Information Systems, Systems Development, Foreign Countries
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Glotzbach, Ronald J.; Mohler, James L.; Radwan, Jaime E. – Journal of Interactive Media in Education, 2009
Today's post-secondary students are technologically savvy and they expect faculty to use myriad web technologies for course delivery. This includes taking advantage of email, course web sites, and online learning communities. However, expectations now also include RSS, blogs, web- and pod-casting, extending the classroom experience to provide…
Descriptors: Web Sites, Electronic Publishing, Internet, Distance Education
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Johnson-Leslie, Natalie A. – Journal of Educational Technology Systems, 2009
In teacher education, electronic portfolios provide an authentic form of assessment documenting students' personal and professional growth. Using the engineered-based system, College LiveText, and an off-the-shelf general tool, HyperStudio, pre-service teachers constructed e-portfolios as part of their teacher preparation requirements. This case…
Descriptors: Preservice Teacher Education, Constructivism (Learning), Portfolios (Background Materials), Preservice Teachers
Cuddy, Colleen – Computers in Libraries, 2006
Fans of mobile devices are everywhere, and they are using their PDAs, smart phones, and mobile phones to access Web-based content. Chances are that they are trying to access your library's Web site or find library-based content for their devices. In this article, the author presents some tips on how to serve those who wants to grab some fast info…
Descriptors: Internet, Web Sites, Programming, Library Services
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Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2009
The Cognitive Tutor Authoring Tools (CTAT) support creation of a novel type of tutors called example-tracing tutors. Unlike other types of ITSs (e.g., model-tracing tutors, constraint-based tutors), example-tracing tutors evaluate student behavior by flexibly comparing it against generalized examples of problem-solving behavior. Example-tracing…
Descriptors: Feedback (Response), Student Behavior, Intelligent Tutoring Systems, Problem Solving
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Kazi, Hameedullah; Haddawy, Peter; Suebnukarn, Siriwan – International Journal of Artificial Intelligence in Education, 2009
In well-defined domains such as Physics, Mathematics, and Chemistry, solutions to a posed problem can objectively be classified as correct or incorrect. In ill-defined domains such as medicine, the classification of solutions to a patient problem as correct or incorrect is much more complex. Typical tutoring systems accept only a small set of…
Descriptors: Foreign Countries, Problem Based Learning, Problem Solving, Correlation
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Shuqun, Yang; Shuliang, Ding; Zhiqiang, Yao – International Journal of Distance Education Technologies, 2009
Cognitive diagnosis (CD) plays an important role in intelligent tutoring system. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with…
Descriptors: Monte Carlo Methods, Distance Education, Adaptive Testing, Intelligent Tutoring Systems
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Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise
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Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
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Laforcade, Pierre – Journal of Learning Design, 2007
Present Educational Modelling Languages are used to formally specify abstract learning scenarios in a machine-interpretable format. Current tooling does not provide teachers/designers with some graphical facilities to help them in reusing existent scenarios. They need human-readable representations. This paper discusses the UML4LD experimental…
Descriptors: Instructional Design, Models, Courseware, Computer System Design
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Liao, Ching-Jung; Chou, Chien-Chih; Yang, Jin-Tan David – International Journal of Distance Education Technologies, 2009
The purpose of this study is to incorporate adaptive ontology into ubiquitous learning grid to achieve seamless learning environment. Ubiquitous learning grid uses ubiquitous computing environment to infer and determine the most adaptive learning contents and procedures in anytime, any place and with any device. To achieve the goal, an…
Descriptors: Individualized Instruction, Simulation, Educational Environment, College Freshmen
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Li, Yi-Hsung; Dow, Chyi-Ren; Lin, Cheng-Min; Chen, Sheng-Chang; Hsu, Fu-Wei – International Journal of Distance Education Technologies, 2009
Innovations in network and information technology have transformed traditional classroom lectures into new approaches that have given universities the opportunity to create a virtual laboratory. However, there is no systematic framework in existing approaches for the development of virtual laboratories. Further, developing a virtual laboratory…
Descriptors: Laboratories, Program Development, Program Implementation, College Instruction
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Hayashi, Yusuke; Bourdeau, Jacqueline; Mizoguchi, Riichiro – International Journal of Artificial Intelligence in Education, 2009
This paper describes the achievements of an innovative eight-year research program first introduced in Mizoguchi and Bourdeau (2000), which was aimed at building a theory-aware authoring system by using ontological engineering. To date, we have proposed OMNIBUS, an ontology that comprehensively covers different learning/instructional theories and…
Descriptors: Foreign Countries, Theory Practice Relationship, Engineering, Teaching Methods
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Zaner, John; Wilson, Glenn – Tech Directions, 2005
As more educators serve as "Web masters" of Web sites for courses, they soon discover that as a site grows it becomes increasingly inconsistent and more difficult to manage. The situation results, to some extent, from the fact that there is a lot learned along the way and the site represents a growing level of expertise. However, it also arises…
Descriptors: Web Sites, Information Technology, Programming, Teachers
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