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Sykes, Edward R. – Technology, Instruction, Cognition and Learning, 2010
The Java Intelligent Tutoring System (JITS) research project explored the power of a new approach to supporting beginner Java programming students. Using Java's grammar as the core of its production rule base, JITS is embedded with extra functionality to detect, predict and correct lexicographical errors in students' code. This additional…
Descriptors: Programming Languages, Intelligent Tutoring Systems, Design, Programming
Mavrikis, Manolis; Gutierrez-Santos, Sergio – Computers & Education, 2010
This paper presents a methodology for the design of intelligent learning environments. We recognise that in the educational technology field, theory development and system-design should be integrated and rely on an iterative process that addresses: (a) the difficulty to elicit precise, concise, and operationalized knowledge from "experts" and (b)…
Descriptors: Educational Technology, Methods, Expertise, Case Studies
Fournier-Viger, Philippe; Faghihi, Usef; Nkambou, Roger; Nguifo, Engelbert Mephu – Educational Technology & Society, 2010
We propose to mine temporal patterns in Intelligent Tutoring Systems (ITSs) to uncover useful knowledge that can enhance their ability to provide assistance. To discover patterns, we suggest using a custom, sequential pattern-mining algorithm. Two ways of applying the algorithm to enhance an ITS's capabilities are addressed. The first is to…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Tutoring, Mathematics
Khosrow-Pour, Mehdi, Ed. – IGI Global, 2014
The rise of technology within educational settings has allowed for a substantial shift in the way in which educators teach learners of all ages. In order to implement these new learning tools, school administrators and teachers alike must seek new research outlining the latest innovations in the field. "Educational Technology Use and Design…
Descriptors: Educational Technology, Technology Uses in Education, Adult Learning, Blended Learning
Pontes, Elvis, Ed.; Silva, Anderson, Ed.; Guelfi, Adilson, Ed.; Kofuji, Sergio Takeo, Ed. – InTech, 2012
Chapters in this book include: (1) Factors that Influence Academic Teacher's Acceptance of E-Learning Technology in Blended Learning Environment (Snjezana Babic); (2) Towards Economical E-Learning Educational Environments for Physically Challenged Students (Amir Zeid, Sarah S. Sakit, Noor A. Al-AbdulRazzaq, Mariam M. Al-Tattan, Fatima S. Sakit,…
Descriptors: Educational Environment, Educational Technology, Problem Based Learning, Lifelong Learning
VanLehn, Kurt – Educational Psychologist, 2011
This article is a review of experiments comparing the effectiveness of human tutoring, computer tutoring, and no tutoring. "No tutoring" refers to instruction that teaches the same content without tutoring. The computer tutoring systems were divided by their granularity of the user interface interaction into answer-based, step-based, and…
Descriptors: Intelligent Tutoring Systems, Interaction, Effect Size, Tutoring
de-la-Fuente-Valentin, Luis; Pardo, Abelardo; Kloos, Carlos Delgado – Computers & Education, 2011
IMS Learning Design is a specification to capture the orchestration taking place in a learning scenario. This paper presents an extension called Generic Service Integration. This paradigm allows a bidirectional communication between the course engine in charge of the orchestration and conventional Web 2.0 tools. This communication allows the…
Descriptors: Electronic Publishing, Web Sites, Learning Activities, Educational Technology
Steenbergen-Hu, Saiying; Cooper, Harris – Journal of Educational Psychology, 2013
In this study, we meta-analyzed empirical research of the effectiveness of intelligent tutoring systems (ITS) on K-12 students' mathematical learning. A total of 26 reports containing 34 independent samples met study inclusion criteria. The reports appeared between 1997 and 2010. The majority of included studies compared the effectiveness of ITS…
Descriptors: Meta Analysis, Intelligent Tutoring Systems, Mathematics Instruction, Mathematics Achievement
Mich, Ornella; Pianta, Emanuele; Mana, Nadia – Computers & Education, 2013
Deaf children have significant difficulties in comprehending written text. This is mainly due to the hearing loss that prevents them from being exposed to oral language when they were an infant. However, it is also due to the type of educational intervention they are faced with, which accustoms them to decoding single words and isolated sentences,…
Descriptors: Reading Comprehension, Usability, Deafness, Story Telling
Hsiao, I.-H.; Sosnovsky, S.; Brusilovsky, P. – Journal of Computer Assisted Learning, 2010
Rapid growth of the volume of interactive questions available to the students of modern E-Learning courses placed the problem of personalized guidance on the agenda of E-Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a…
Descriptors: Electronic Learning, Guidance, Individualized Instruction, Computer Software
Ritter, Steven; Harris, Thomas K.; Nixon, Tristan; Dickison, Daniel; Murray, R. Charles; Towle, Brendon – International Working Group on Educational Data Mining, 2009
In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-parameter model developed by Corbett and Anderson [Nb]. In this paper, we investigate the nature of the parameter space defined by these four parameters by modeling data…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Knowledge Level, Skills
Charlton, Patricia; Magoulas, George; Laurillard, Diana – Technology, Pedagogy and Education, 2012
The paper advocates an approach to learning design that considers it as creating digital artefacts that can be extended, modified and used for different purposes. This is realised through an "act becoming artefact" cycle, where users' actions in the authors' software environment, named Learning Designer, are automatically interpreted on…
Descriptors: Foreign Countries, Educational Technology, Instructional Design, Computer Software
Hwang, Gwo-Jen; Sung, Han-Yu; Hung, Chun-Ming; Huang, Iwen; Tsai, Chin-Chung – Educational Technology Research and Development, 2012
In recent years, many researchers have been engaged in the development of educational computer games; however, previous studies have indicated that, without supportive models that take individual students' learning needs or difficulties into consideration, students might only show temporary interest during the learning process, and their learning…
Descriptors: Cognitive Style, Learning Motivation, Program Effectiveness, Natural Sciences
Chi, Min; VanLehn, Kurt; Litman, Diane; Jordan, Pamela – International Journal of Artificial Intelligence in Education, 2011
Pedagogical strategies are policies for a tutor to decide the next action when there are multiple actions available. When the content is controlled to be the same across experimental conditions, there has been little evidence that tutorial decisions have an impact on students' learning. In this paper, we applied Reinforcement Learning (RL) to…
Descriptors: Classroom Communication, Interaction, Reinforcement, Natural Language Processing
Mullins, Dejana; Rummel, Nikol; Spada, Hans – International Journal of Computer-Supported Collaborative Learning, 2011
While some studies found positive effects of collaboration on student learning in mathematics, others found none or even negative effects. This study evaluates whether the varying impact of collaboration can be explained by differences in the type of knowledge that is promoted by the instruction. If the instructional material requires students to…
Descriptors: Video Technology, Feedback (Response), Computer Assisted Instruction, Learning Processes

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