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Botvinick, Matthew M.; Niv, Yael; Barto, Andrew C. – Cognition, 2009
Research on human and animal behavior has long emphasized its hierarchical structure--the divisibility of ongoing behavior into discrete tasks, which are comprised of subtask sequences, which in turn are built of simple actions. The hierarchical structure of behavior has also been of enduring interest within neuroscience, where it has been widely…
Descriptors: Intelligent Tutoring Systems, Animal Behavior, Reinforcement, Models
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He, Yulan; Hui, Siu Cheung; Quan, Tho Thanh – Computers & Education, 2009
Summary writing is an important part of many English Language Examinations. As grading students' summary writings is a very time-consuming task, computer-assisted assessment will help teachers carry out the grading more effectively. Several techniques such as latent semantic analysis (LSA), n-gram co-occurrence and BLEU have been proposed to…
Descriptors: Semantics, Intelligent Tutoring Systems, Grading, Computer Assisted Testing
Deal, Michelle L. – ProQuest LLC, 2011
This project questions a core value that writing center workers have long held about tutoring writing: that we change writers. Applying sociocognitive and Bakhtinian lenses, I was able to complicate theory-practice connections. Tutor-tutee negotiations during tutorials, tutees' perceived learning outcomes, and their revisions were compared with…
Descriptors: Tutors, Writing Instruction, Values, Theory Practice Relationship
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Pardos, Zachary A.; Dailey, Matthew D.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
The well established, gold standard approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pre-test and post-test design. RCTs have been used in the intelligent tutoring community for decades to determine which questions and tutorial feedback work best. Practically speaking, however,…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Pretests Posttests, Educational Research
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Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
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Lee, Sungjin; Noh, Hyungjong; Lee, Jonghoon; Lee, Kyusong; Lee, Gary Geunbae; Sagong, Seongdae; Kim, Munsang – ReCALL, 2011
This study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL) which is in its early stages. To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive…
Descriptors: Second Language Learning, Robotics, Speech Skills, Listening Skills
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Kersaint, Gladis; Dogbey, James; Barber, Jeff; Kephart, David – Mentoring & Tutoring: Partnership in Learning, 2011
This study investigated outcomes (achievement, attitude, and retention) of college algebra students who had access to an online tutoring resource using a pre-posttest control group design. Students in the experimental groups were provided access to an online tutoring service unlike the students in the control group. Both groups had access to other…
Descriptors: Experimental Groups, Control Groups, Help Seeking, Tutorial Programs
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Grothaus, Tim; Lorelle, Sonya; Anderson, Kie; Knight, Jasmine – Professional School Counseling, 2011
After a review of the literature elucidating the status quo for students experiencing homelessness, this article shares the results of a mixed methods study. With a phenomenological qualitative emphasis, the mixed methods study explored the perceptions of parents and children experiencing homelessness regarding their academic needs and the…
Descriptors: Tutoring, Homeless People, Grade Point Average, Educational Needs
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Massey, Dixie D.; Lewis, Jan – Literacy Research and Instruction, 2011
As teacher educators, we continue to focus on tutoring experiences as ways to help tutors connect coursework to practice. This study presents a preservice tutoring program designed to provide a field-based experience where the tutors would be able to (a) learn about literacy instruction, (b) use a multitude of assessment data rather than…
Descriptors: Preservice Teachers, Tutors, Data Analysis, Literacy
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Flores, Marta; Duran, David – International Journal of Educational Psychology, 2013
This study investigates the development of the Reading Self-Concept and of the mechanisms underlying it, within a framework of a reading programme based on peer tutoring. The multiple methodological design adopted allowed for a quantitative approach which showed statistically significant changes in the Reading Self-Concept of those students who…
Descriptors: Peer Teaching, Tutoring, Reading Achievement, Self Concept
Hussain, Irshad – Online Submission, 2013
The researcher conducted present study with the objectives to a). evaluate attitude of learners towards academic and tutoring skills of distance education tutors, b). assess the opinion of distance learners about assessment and evaluation skills of their tutors and c). examine reflection of learners on scaffolding skills of distance education…
Descriptors: Tutoring, Open Universities, Preservice Teacher Education, Distance Education
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Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Zhang, Dake; Park, Joo Young; Tzur, Ron – Journal of Educational Data Mining, 2010
Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word problems is an important step for calculating the difficulty levels of such problems. This paper addresses a novel application of text categorization to identify two types of…
Descriptors: Probability, Word Problems (Mathematics), Classification, Difficulty Level
Munter, Charles; Garrison, Anne – Society for Research on Educational Effectiveness, 2010
In this paper, the authors describe a case of measuring implementation fidelity within an evaluation of Math Recovery (MR), a pullout tutoring program for low-achieving first-graders. They use this case to address two aspects of implementation fidelity studies: (1) their feasibility with respect to unscripted interventions, and (2) their…
Descriptors: Program Implementation, Program Development, Mathematics Instruction, Tutoring
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Doolittle, Peter – Journal of Educational Multimedia and Hypermedia, 2010
Short, cause-and-effect instructional multimedia tutorials that provide learner control of instructional pace (segmentation) and verbal representations of content in a conversational tone (personalization) have been demonstrated to benefit problem solving transfer. How might a more comprehensive multimedia instructional environment focused on…
Descriptors: Computer Assisted Instruction, Learner Controlled Instruction, Multimedia Instruction, Educational Environment
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Schraw, Gregory – Educational Psychologist, 2010
I provide a summary of the four invited articles in this special issue and compare and contrast different methods for measuring self-regulation in computer-based learning environments (CBLEs). I present a taxonomy that distinguishes between offline and online measures and further distinguishes subcategories within each of these categories. I…
Descriptors: Scoring Rubrics, Scoring, Cognitive Processes, Self Control
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