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Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…
Descriptors: Reading Comprehension, Reading Skills, Natural Language Processing, Intelligent Tutoring Systems
Lang, Charles; Heffernan, Neil; Ostrow, Korinn; Wang, Yutao – International Educational Data Mining Society, 2015
For at least the last century researchers have advocated the use of student confidence as a form of educational assessment and the growth of online and mobile educational software has made the implementation of this measurement far easier. The following short paper discusses our first study of the dynamics of student confidence in an online math…
Descriptors: Educational Assessment, Intelligent Tutoring Systems, Self Esteem, Mathematics Instruction
Jacob, Brian; Berger, Dan; Hart, Cassandra; Loeb, Susanna – Grantee Submission, 2016
This chapter assesses the potential for several prominent technological innovations to promote equality of educational opportunities. We review the history of technological innovations in education and describe several prominent innovations, including intelligent tutoring, blended learning, and virtual schooling.
Descriptors: Educational Technology, Equal Education, Educational Opportunities, Technological Advancement
Ting, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
Bedek, Michael; Seitlinger, Paul; Kopeinik, Simone; Albert, Dietrich – Electronic Journal of e-Learning, 2012
Digital educational games (DEGs) possess the potential of providing an appealing and intrinsically motivating learning context. Usually this potential is either taken for granted or examined through questionnaires or interviews in the course of evaluation studies. However, an "adaptive" game would increase the probability of a DEG being…
Descriptors: Foreign Countries, Educational Games, Computer Games, Computer Simulation
Petersen, Kenneth A. – ProQuest LLC, 2010
Interaction research on recasts has been largely confined to examining the effects of recasts delivered in an oral, face-to-face modality. The challenge of creating task conditions in a written interactive mode, in which the dynamism and immediacy of recasts can be brought to bear on L2 development, has been a formidable obstacle to advancing the…
Descriptors: Feedback (Response), Interaction, Second Language Learning, Oral Language
Davis, Darrel R.; Bostow, Darrel E.; Heimisson, Gudmundur T. – Journal of Applied Behavior Analysis, 2007
Web-based software was used to deliver and record the effects of programmed instruction that progressively added formal prompts until attempts were successful, programmed instruction with one attempt, and prose tutorials. Error-contingent progressive prompting took significantly longer than programmed instruction and prose. Both forms of…
Descriptors: Verbal Stimuli, Prose, Teaching Methods, Computer Assisted Instruction

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