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Showing 1 to 15 of 26 results Save | Export
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Demir, Ümit – Pedagogies: An International Journal, 2020
This research was conducted to determine the effects of the using negative knowledge-based Intelligent Teaching System (ITS) evaluator software in the assessment and evaluation processes of English Teaching as a Foreign language. Experimental design with the pretest-posttest control group was used in this study. The study group consists of 67…
Descriptors: Misconceptions, Intelligent Tutoring Systems, Computer Software, Vocational Education
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Kulik, James A.; Fletcher, J. D. – Review of Educational Research, 2016
This review describes a meta-analysis of findings from 50 controlled evaluations of intelligent computer tutoring systems. The median effect of intelligent tutoring in the 50 evaluations was to raise test scores 0.66 standard deviations over conventional levels, or from the 50th to the 75th percentile. However, the amount of improvement found in…
Descriptors: Intelligent Tutoring Systems, Meta Analysis, Computer Assisted Instruction, Statistical Analysis
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Bringula, Rex P.; Basa, Roselle S.; Dela Cruz, Cecilio; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2016
This study attempted to determine the influence of prior knowledge in mathematics of students on learner-interface interactions in a learning-by-teaching intelligent tutoring system. One hundred thirty-nine high school students answered a pretest (i.e., the prior knowledge in mathematics) and a posttest. In between the pretest and posttest, they…
Descriptors: Mathematics, Tutoring, Mathematics Instruction, Foreign Countries
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VanLehn, Kurt; Zhang, Lishan; Burleson, Winslow; Girard, Sylvie; Hidago-Pontet, Yoalli – IEEE Transactions on Learning Technologies, 2017
This project aimed to improve students' learning and task performance using a non-cognitive learning companion in the context of both a tutor and a meta-tutor. The tutor taught students how to construct models of dynamic systems and the meta-tutor taught students a learning strategy. The non-cognitive learning companion was designed to increase…
Descriptors: Metacognition, Learning Strategies, Nonverbal Communication, High School Students
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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2017
The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…
Descriptors: Biology, Science Instruction, Intelligent Tutoring Systems, Probability
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Mohammadzadeh, Ahmad; Sarkhosh, Mehdi – International Journal of Instruction, 2018
The current study attempted to investigate the effects of self-regulatory learning through computer-assisted intelligent tutoring system on the improvement of speaking ability. The participants of the study, who spoke Azeri Turkish as their mother tongue, were students of Applied Linguistics at BA level at Pars Abad's Azad University, Ardebil,…
Descriptors: Intelligent Tutoring Systems, Turkish, Native Language, Applied Linguistics
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Choi, Inn-Chull – Computer Assisted Language Learning, 2016
A Web-based form-focused intelligent computer-assisted language learning (ICALL) tutoring system equipped with a process-oriented corrective feedback function was developed to investigate the extent to which such a program may serve as a viable method of teaching grammar to Korean secondary and elementary students. The present study was also…
Descriptors: Instructional Effectiveness, Computer Assisted Instruction, Intelligent Tutoring Systems, English (Second Language)
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DuBois, Matthew R.; Volpe, Robert J.; Hemphill, Elizabeth M. – School Psychology Review, 2014
Given that many schools have limited resources and a high proportion of students who present with deficits in early literacy skills, supports aimed at preventing reading failure must be simple and efficient and generate meaningful changes in student learning. We used a randomized group design with a wait-list control to extend the work of Volpe,…
Descriptors: Randomized Controlled Trials, Control Groups, Experimental Groups, Tutoring
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Karakostas, A.; Demetriadis, S. – Journal of Computer Assisted Learning, 2011
Research on computer-supported collaborative learning (CSCL) has strongly emphasized the value of providing student support of either fixed (e.g. collaboration scripts) or dynamic form (e.g. adaptive supportive interventions). Currently, however, there is not sufficient evidence corroborating the potential of adaptive support methods to improve…
Descriptors: Open Source Technology, Intelligent Tutoring Systems, Control Groups, Computer Assisted Instruction
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Cowan, Ron; Choo, Jinhee; Lee, Gabseon Sunny – Language Learning & Technology, 2014
This study illustrates how a synergy of two technologies--Intelligent Computer-Assisted Language Learning (ICALL) and corpus linguistic analysis--can produce a lasting improvement in L2 learners' ability to edit persistent grammatical errors from their writing. A large written English corpus produced by Korean undergraduate and graduate students…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
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Rodicio, H. Garcia; Sanchez, E. – Interactive Learning Environments, 2012
Learners are usually provided with support devices because they find it difficult to learn from multimedia presentations. A key question, with no clear answer so far, is how best to present these support devices. One possibility is to insert them into the multimedia presentation (canned support), while another is to have a human agent provide them…
Descriptors: Multimedia Instruction, Computer Assisted Instruction, Tutoring, Intermode Differences
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
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Molenaar, Inge; Roda, Claudia; van Boxtel, Carla; Sleegers, Peter – Computers & Education, 2012
The aim of this study is to test the effects of dynamically scaffolding social regulation of middle school students working in a computer-based learning environment. Dyads in the scaffolding condition (N=56) are supported with computer-generated scaffolds and students in the control condition (N=54) do not receive scaffolds. The scaffolds are…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Metacognition, Learning Processes
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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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Slavin, Robert E.; Lake, Cynthia; Davis, Susan; Madden, Nancy A. – Educational Research Review, 2011
This article reviews research on the achievement outcomes of alternative approaches for struggling readers ages 5-10 (US grades K-5): One-to-one tutoring, small-group tutorials, classroom instructional process approaches, and computer-assisted instruction. Study inclusion criteria included use of randomized or well-matched control groups, study…
Descriptors: Control Groups, Tutoring, Teaching Methods, Synthesis
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