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Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2014
While collaborative Intelligent Tutoring Systems (ITSs) have been designed for older students and have been shown to support sense-making behaviors, there has not been as much work on creating systems to support collaboration between elementary school students. We have developed and tested, with 84 students, individual and collaborative versions…
Descriptors: Intelligent Tutoring Systems, Elementary School Students, Fractions, Cooperative Learning
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Perry, S. Marshall – IGI Global, 2014
This chapter concerns a year-long, United States federally-funded evaluation of Educate Online, an online, at home, 1:1 tutoring program aimed at improving reading performance for middle school students who are below grade level. Participating students receive after-school instruction from teachers in real-time over Voice over Internet Protocol…
Descriptors: Program Evaluation, Intelligent Tutoring Systems, After School Programs, Reading Instruction
Pane, John F.; Griffin, Beth Ann; McCaffrey, Daniel F.; Karam, Rita; Daugherty, Lindsay; Phillips, Andrea – Grantee Submission, 2013
This large-scale effectiveness trial found a significant positive effect for high schools using Cognitive Tutor Algebra I (CTAI) in their second year of implementation, relative to similar schools that continued to use existing textbook-based algebra curricula. This positive result is important for educators and policymakers seeking ways to…
Descriptors: Mathematics Instruction, Algebra, Intelligent Tutoring Systems, Computer Software
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Li, Yatao; Zhao, Ke; Xu, Wei – International Journal of Information and Communication Technology Education, 2015
Intelligent tutoring systems (ITSs), which provide step-by-step guidance to students in problem-solving activities, have been shown to enhance student learning in a range of domains. However, they tend to be pre-established and cannot supply the tutoring function immediately from the diverse mathematical questions. The MITSAS (multiagent…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Foreign Countries, Algebra
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Bernacki, Matthew L.; Nokes-Malach, Timothy J.; Aleven, Vincent – Metacognition and Learning, 2015
Self-regulated learning (SRL) theorists propose that learners' motivations and cognitive and metacognitive processes interact dynamically during learning, yet researchers typically measure motivational constructs as stable factors. In this study, self-efficacy was assessed frequently to observe its variability during learning and how learners'…
Descriptors: Self Efficacy, Metacognition, Cues, Algebra
Gobert, Janice D.; Kim, Yoon Jeon; Sao Pedro, Michael; Kennedy, Michael; Betts, Cameron – Grantee Submission, 2015
Many national policy documents underscore the importance of 21st century skills, including critical thinking. In parallel, recent American frameworks for K-12 Science education call for the development of critical thinking skills in science, also referred to as science inquiry skills/practices. Assessment of these skills is necessary, as indicated…
Descriptors: Learning Analytics, Science Education, Teaching Methods, 21st Century Skills
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Koedinger, Kenneth R.; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2016
Our 1997 article in "IJAIED" reported on a study that showed that a new algebra curriculum with an embedded intelligent tutoring system (the Algebra Cognitive Tutor) dramatically enhanced high-school students' learning. The main motivation for the study was to demonstrate that intelligent tutors that have cognitive science research…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology, Algebra
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Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design
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Cargile, Lori A.; Harkness, Shelly Sheats – TechTrends: Linking Research and Practice to Improve Learning, 2014
Khan Academy (KA) is a free web-based intelligent tutor, which has been featured in countless media outlets for its potential to change mathematics instruction. The founder and executive director, Salman Khan, recommends that KA be used to personalize instruction, freeing up class time for engaging high yield activities like student discourse and…
Descriptors: Teaching Methods, Video Technology, Web Sites, Mathematics Instruction
Miwa, Kazuhisa; Kojima, Kazuaki; Terai, Hitoshi – International Association for Development of the Information Society, 2014
Tutoring systems provide students with various types of on-demand and context-sensitive hints. Students are required to consciously adapt their help-seeking behavior, proactively seek help in some situations, and solve problems independently without supports in other situations. We define the latter behavior as stoic behavior in hint seeking. In…
Descriptors: Help Seeking, Student Behavior, Cues, Goal Orientation
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Vandewaetere, Mieke; Vandercruysse, Sylke; Clarebout, Geraldine – Educational Technology Research and Development, 2012
Research on computer-based adaptive learning environments has shown exemplary growth. Although the mechanisms of effective adaptive instruction are unraveled systematically, little is known about the relative effect of learners' perceptions of adaptivity in adaptive learning environments. As previous research has demonstrated that the learners'…
Descriptors: Intelligent Tutoring Systems, Predictor Variables, Student Attitudes, Student Motivation
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van Ravenzwaaij, Don; van der Maas, Han L. J.; Wagenmakers, Eric-Jan – Psychological Review, 2012
In their influential "Psychological Review" article, Bogacz, Brown, Moehlis, Holmes, and Cohen (2006) discussed optimal decision making as accomplished by the drift diffusion model (DDM). The authors showed that neural inhibition models, such as the leaky competing accumulator model (LCA) and the feedforward inhibition model (FFI), can mimic the…
Descriptors: Intelligent Tutoring Systems, Inhibition, Bayesian Statistics, Decision Making
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Di Bitonto, Pierpaolo; Roselli, Teresa; Rossano, Veronica; Sinatra, Maria – International Journal of Distance Education Technologies, 2013
One of the most closely investigated topics in e-learning research has always been the effectiveness of adaptive learning environments. The technological evolutions that have dramatically changed the educational world in the last six decades have allowed ever more advanced and smarter solutions to be proposed. The focus of this paper is to depict…
Descriptors: Educational Technology, Technology Uses in Education, Computer Assisted Instruction, Artificial Intelligence
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Xiao, Jun; Wang, Minjuan; Wang, Lamei; Zhu, Xiaoxiao – International Journal of Distance Education Technologies, 2013
The gradual development of intelligent learning (iLearning) systems has prompted the changes of teaching and learning. This paper presents the architecture of an intelligent learning (iLearning) system built upon the recursive iLearning model and the key technologies associated with this model. Based on this model and the technical structure of a…
Descriptors: Educational Technology, Teaching Methods, Intelligent Tutoring Systems, Continuing Education
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Arnau, David; Arevalillo-Herraez, Miguel; Puig, Luis; Gonzalez-Calero, Jose Antonio – Computers & Education, 2013
Designers of interactive learning environments with a focus on word problem solving usually have to compromise between the amount of resolution paths that a user is allowed to follow and the quality of the feedback provided. We have built an intelligent tutoring system (ITS) that is able to both track the user's actions and provide adequate…
Descriptors: Intelligent Tutoring Systems, Computer System Design, Word Problems (Mathematics), Problem Solving
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