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Belland, Brian R.; Walker, Andrew E.; Kim, Nam Ju; Lefler, Mason – Review of Educational Research, 2017
Computer-based scaffolding assists students as they generate solutions to complex problems, goals, or tasks, helping increase and integrate their higher order skills in the process. However, despite decades of research on scaffolding in STEM (science, technology, engineering, and mathematics) education, no existing comprehensive meta-analysis has…
Descriptors: Computer Assisted Instruction, Scaffolding (Teaching Technique), STEM Education, Meta Analysis
Bennane, Abdellah – Informatics in Education, 2013
The introduction of the intelligence in teaching software is the object of this paper. In software elaboration process, one uses some learning techniques in order to adapt the teaching software to characteristics of student. Generally, one uses the artificial intelligence techniques like reinforcement learning, Bayesian network in order to adapt…
Descriptors: Computer Software, Educational Technology, Artificial Intelligence, Reinforcement
Stamper, John; Eagle, Michael; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2013
We have augmented the Deep Thought logic tutor with a Hint Factory that generates data-driven, contextspecific hints for an existing computer aided instructional tool. We investigate the impact of the Hint Factory's automatically generated hints on educational outcomes in a switching replications experiment that shows that hints help students…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Problem Solving, College Students
Weston, Jennifer L.; McNamara, Danielle S. – Grantee Submission, 2013
Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring…
Descriptors: Intelligent Tutoring Systems, Hierarchical Linear Modeling, Correlation, Writing Instruction
Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol; Sewall, Jonathan; Ringenberg, Michael – Grantee Submission, 2013
Authoring tools for Intelligent Tutoring System (ITS) have been shown to decrease the amount of time that it takes to develop an ITS. However, most of these tools currently do not extend to collaborative ITSs. In this paper, we illustrate an extension to the Cognitive Tutor Authoring Tools (CTAT) to allow for development of collaborative ITSs that…
Descriptors: Intelligent Tutoring Systems, Programming Languages, Fractions, Learning Processes
Hassani, Kaveh; Nahvi, Ali; Ahmadi, Ali – Interactive Learning Environments, 2016
In this paper, we present an intelligent architecture, called intelligent virtual environment for language learning, with embedded pedagogical agents for improving listening and speaking skills of non-native English language learners. The proposed architecture integrates virtual environments into the Intelligent Computer-Assisted Language…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Instruction, Technology Uses in Education
Shaughnessy, Michael F.; Fulgham, Susan M. – Educational Technology, 2016
Sigmund Tobias came to the United States in 1948, after his family had fled to China from the Holocaust in Europe. His Memoir ("Strange Haven: A Jewish Childhood in Wartime Shanghai") describes that part of his life. He settled in New York, where he completed his B.A. and M.S. in School Psychology from the City College of New York, and a…
Descriptors: Educational Technology, Interviews, Leaders, Computer Games
Lee, Young-Jin – Educational Technology & Society, 2015
This study investigates whether information saved in the log files of a computer-based tutor can be used to predict the problem solving performance of students. The log files of a computer-based physics tutoring environment called Andes Physics Tutor was analyzed to build a logistic regression model that predicted success and failure of students'…
Descriptors: Physics, Science Instruction, Computer Software, Accuracy
Gobert, Janice D.; Baker, Ryan S.; Wixon, Michael B. – Educational Psychologist, 2015
In recent years, there has been increased interest in engagement during learning. This is of particular interest in the science, technology, engineering, and mathematics domains, in which many students struggle and where the United States needs skilled workers. This article lays out some issues important for framing research on this topic and…
Descriptors: Learner Engagement, STEM Education, Electronic Learning, Science Process Skills
Am I Wrong or Am I Right? Gains in Monitoring Accuracy in an Intelligent Tutoring System for Writing
Allen, Laura K.; Crossley, Scott A.; Snow, Erica L.; Jacovina, Matthew E.; Perret, Cecile; McNamara, Danielle S. – Grantee Submission, 2015
We investigated whether students increased their self-assessment accuracy and essay scores over the course of an intervention with a writing strategy intelligent tutoring system, [Writing Pal] (W-Pal). Results indicate that students were able to learn from W-Pal, and that the combination of strategy instruction, game-based practice, and holistic…
Descriptors: Intelligent Tutoring Systems, Self Evaluation (Individuals), Accuracy, Essays
Snow, Erica L.; Likens, Aaron D.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2015
Game-based environments frequently afford students the opportunity to exert agency over their learning paths by making various choices within the environment. The combination of log data from these systems and dynamic methodologies may serve as a stealth means to assess how students behave (i.e., deterministic or random) within these learning…
Descriptors: High School Students, Pretests Posttests, Teaching Methods, Technology Uses in Education
Sanchez, Rebecca P.; Brown, Emily; DeRosier, Melissa E. – Society for Research on Educational Effectiveness, 2015
Educators, policymakers, and the general public agree that social skills should be taught to children. In an effort to bridge this gap between evidence-based social skills training and populations in need, the authors have developed an Intelligent Social Tutoring System (ISTS) that fosters learning through adaptive interaction between the student…
Descriptors: Interpersonal Competence, Intelligent Tutoring Systems, Online Courses, Electronic Learning
Kosta Dolenc; Boris Aberšek; Metka Kordigel Aberšek – Journal of Baltic Science Education, 2015
We live in a time of transition from print reading (off-line) to screen reading (on-line), where the role of the book and other literature is being taken over by different types of electronic devices (computers, tablets, smart phones). In the lives of young people, there is less and less printed media, because it is being pushed out by electronic…
Descriptors: Electronic Learning, Functional Literacy, Intelligent Tutoring Systems, Science Education
Farzaneh, Mandana; Vanani, Iman Raeesi; Sohrabi, Babak – International Journal of Virtual and Personal Learning Environments, 2012
E-learning is one of the most important learning approaches within which intelligent software agents can be efficiently used so as to automate and facilitate the process of learning. The aim of this paper is to illustrate a comprehensive categorization of intelligent software agent features, which is valuable for being deployed in the virtual…
Descriptors: Electronic Learning, Educational Technology, Intelligent Tutoring Systems, Computer Software
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – International Journal of Artificial Intelligence in Education, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students--explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing

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