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Guy, Retta Sweat; Lownes-Jackson, Millicent – Interdisciplinary Journal of E-Learning and Learning Objects, 2012
Computer technology in general and the Internet in particular have facilitated as well as motivated the development of Web-based tutorials (MacKinnon & Williams, 2006). The current research study describes a pedagogical approach that exploits the use of self-paced, Web-based tutorials for assisting students with reviewing grammar and mechanics…
Descriptors: Instructional Effectiveness, Web Based Instruction, Intelligent Tutoring Systems, Pretests Posttests
Becker, Lee – ProQuest LLC, 2012
While many studies have demonstrated that conversational tutoring systems have a positive effect on learning, the amount of manual effort required to author, design, and tune dialogue behaviors remains a major barrier to widespread deployment and adoption of these systems. Such dialogue systems must not only understand student speech, but must…
Descriptors: Intelligent Tutoring Systems, Speech, Computer Mediated Communication, Natural Language Processing
Kopp, Kristopher J.; Britt, M. Anne; Millis, Keith; Graesser, Arthur C. – Learning and Instruction, 2012
The current studies investigated the efficient use of dialogue in intelligent tutoring systems that use natural language interaction. Such dialogues can be relatively time-consuming. This work addresses the question of how much dialogue is needed to produce significant learning gains. In Experiment 1, a full dialogue condition and a read-only…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Mediated Communication, Synchronous Communication
Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
Allen, Laura K.; Crossley, Scott A.; Snow, Erica L.; McNamara, Danielle S. – Language Learning & Technology, 2014
The Writing Pal (W-Pal) is an intelligent tutoring system (ITS) designed to provide students with explicit writing strategy instruction and practice. W-Pal includes a suite of educational games developed to increase writing engagement and provide opportunities to practice writing strategies. In this study, first (L1) (n = 26) and second (L2)…
Descriptors: Second Language Learning, Second Language Instruction, Writing Instruction, Educational Games
Urdegar, Steven M. – Research Services, Miami-Dade County Public Schools, 2014
Achieve 3000 is an online differentiated reading program for students with disabilities and English Language Learners in grades 6-8. The software delivers differentiated assignments at 12 different reading levels. The software features internal assessments that continuously gauge students' reading levels, provides feedback to teachers, and…
Descriptors: English Language Learners, Disabilities, Individualized Instruction, Reading Programs
McLaren, Bruce M.; DeLeeuw, Krista E.; Mayer, Richard E. – Computers & Education, 2011
Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab versus classroom) with a variety of students (e.g., low prior knowledge versus high prior knowledge),…
Descriptors: Feedback (Response), Test Items, Intervention, Intelligent Tutoring Systems
E-Learning Personalization Based on Hybrid Recommendation Strategy and Learning Style Identification
Klasnja-Milicevic, Aleksandra; Vesin, Boban; Ivanovic, Mirjana; Budimac, Zoran – Computers & Education, 2011
Personalized learning occurs when e-learning systems make deliberate efforts to design educational experiences that fit the needs, goals, talents, and interests of their learners. Researchers had recently begun to investigate various techniques to help teachers improve e-learning systems. In this paper, we describe a recommendation module of a…
Descriptors: Electronic Learning, Experimental Groups, Control Groups, Cognitive Style
Wang, Tiantian; Su, Xiaohong; Ma, Peijun; Wang, Yuying; Wang, Kuanquan – Computers & Education, 2011
Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student…
Descriptors: Foreign Countries, Feedback (Response), Program Effectiveness, Learning Experience
Sekar, J. M. Arul; Rajendran, K. K. – Online Submission, 2010
Network technology provides access to various sources of information from across the world. Network technology allows the higher education system to bring the lab to the classroom, rather than making students move to separate classrooms when they need to use computers. It, therefore, saves cost and makes students more productive. Students and…
Descriptors: Computer Networks, Technology Uses in Education, Higher Education, Internet
Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
Ward, Wayne; Cole, Ron; Bolaños, Daniel; Buchenroth-Martin, Cindy; Svirsky, Edward; Weston, Tim – Journal of Educational Psychology, 2013
My Science Tutor (MyST) is an intelligent tutoring system designed to improve science learning by elementary school students through conversational dialogs with a virtual science tutor in an interactive multimedia environment. Marni, a lifelike 3-D character, engages individual students in spoken dialogs following classroom investigations using…
Descriptors: Intelligent Tutoring Systems, Elementary School Science, Multimedia Instruction, Interaction
Baker, Ryan S. J. d.; Corbett, Albert T.; Gowda, Sujith M. – Journal of Educational Psychology, 2013
Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related skills, preparation for future learning, and longer term retention. It has been shown that different pedagogical strategies promote robust learning to different degrees. However, the student…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Genetics, Science Instruction
Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Educational Technology Research and Development, 2013
Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Mediated Communication, Intelligent Tutoring Systems
Strayer, Jeremy F. – Learning Environments Research, 2012
Recent technological developments have given rise to blended learning classrooms. An inverted (or flipped) classroom is a specific type of blended learning design that uses technology to move lectures outside the classroom and uses learning activities to move practice with concepts inside the classroom. This article compares the learning…
Descriptors: Blended Learning, Cooperative Learning, Statistics, Classroom Environment

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