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Yudelson, Michael V.; Brunskill, Emma – International Educational Data Mining Society, 2012
In this paper we combine a logistic regression student model with an exercise selection procedure. As opposed to the body of prior work on strategies for selecting practice opportunities, we are working on an assumption of a finite amount of opportunities to teach the student. Our goal is to prescribe activities that would maximize the amount…
Descriptors: Scores, Tests, Regression (Statistics), Pretests Posttests
Forsyth, Carol; Pavlik, Philip, Jr.; Graesser, Arthur C.; Cai, Zhiqiang; Germany, Mae-lynn; Millis, Keith; Dolan, Robert P.; Butler, Heather; Halpern, Diane – International Educational Data Mining Society, 2012
"OperationARIES!" is an Intelligent Tutoring System that teaches scientific inquiry skills in a game-like atmosphere. Students complete three different training modules, each with natural language conversations, in order to acquire deep-level knowledge of 21 core concepts of research methodology (e.g., correlation does not mean…
Descriptors: Learning, Cognitive Processes, Logical Thinking, Scientific Methodology
Bryfczynski, Samuel Paul – ProQuest LLC, 2012
This dissertation describes a novel intelligent tutoring system, BeSocratic, which aims to help fill the gap between simple multiple-choice systems and free-response systems. BeSocratic focuses on targeting questions that are free-form in nature yet defined to the point which allows for automatic evaluation and analysis. The system includes a set…
Descriptors: Intelligent Tutoring Systems, Multiple Choice Tests, Feedback (Response), Questioning Techniques
Lee, Yoonhee Naseef – ProQuest LLC, 2012
The goal of this research was to understand the different kinds of learning that take place in "Mod The Sims" (MTS), an online "Sims" gaming community. The study aimed to explore users' experiences and to understand learning practices that are not commonly observed in formal educational settings. To achieve this goal, the…
Descriptors: Computer Games, Learning, Literacy, Computer Simulation
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Munoz, Marco A.; Chang, Florence; Ross, Steven M. – Journal of Education for Students Placed at Risk, 2012
This quantitative study evaluated the effects of Supplemental Educational Services (SES), a federally mandated component of No Child Left Behind, on student achievement in reading and mathematics. SES provides free tutoring outside school to disadvantaged students who attend Title I schools that are in their third year of failing to achieve…
Descriptors: Supplementary Education, Federal Legislation, Educational Legislation, Tutoring
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Daly, Edward J., III; Kupzyk, Sara – Journal of Behavioral Education, 2012
In this study, we examined whether individualized, student-selected, parent-delivered reading interventions would produce generalized oral reading fluency improvements. Three 3rd-grade students received reading fluency interventions (repeated readings, modeling, error correction, and flashcard instruction) 1 at a time and were shown the results…
Descriptors: Reading Instruction, Intervention, Reading Fluency, Reading Improvement
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Wijekumar, Kausalai Kay; Meyer, Bonnie J. F.; Lei, Puiwa – Educational Technology Research and Development, 2012
Reading comprehension is a challenge for K-12 learners and adults. Nonfiction texts, such as expository texts that inform and explain, are particularly challenging and vital for students' understanding because of their frequent use in formal schooling (e.g., textbooks) as well as everyday life (e.g., newspapers, magazines, and medical…
Descriptors: Intelligent Tutoring Systems, Grade 4, Elementary School Students, Nonfiction
Excelencia in Education, 2016
The 2016 Examples of "Excelencia" recognizes selected programs in higher education at the Associate, Baccalaureate, Graduate levels as well as at Community-Based Organizations (CBOs). The compendium contains one-page program summary of the 4 Examples of "Excelencia" and the 16 finalist programs making a positive difference in…
Descriptors: Higher Education, Hispanic American Students, Academic Achievement, Achievement Gap
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Scheuer, O.; McLaren, B. M. – IEEE Transactions on Learning Technologies, 2013
One of the main challenges in tapping the full potential of modern educational software is to devise mechanisms to automatically analyze and adaptively support students' problem solving and learning. A number of such approaches have been developed to teach argumentation skills in domains as diverse as science, the Law, and ethics. Yet,…
Descriptors: Intelligent Tutoring Systems, Persuasive Discourse, Cooperative Learning, Legal Education (Professions)
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Forbes-Riley, Kate; Litman, Diane – International Journal of Artificial Intelligence in Education, 2013
In this paper we investigate how student disengagement relates to two performance metrics in a spoken dialog computer tutoring corpus, both when disengagement is measured through manual annotation by a trained human judge, and also when disengagement is measured through automatic annotation by the system based on a machine learning model. First,…
Descriptors: Correlation, Learner Engagement, Oral Language, Computer Assisted Instruction
Green, Lachelle Yavette – ProQuest LLC, 2013
Evidence suggests that African American male students from single mother households may face more challenges than white male students in obtaining educational success in terms of graduation and test performance. This association has been generated from previous studies that identified themes of poverty, parents' lack of education, absent…
Descriptors: Tutoring, Mentors, Males, African American Students
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Lee, Hee Seung; Anderson, John R.; Berman, Susan R.; Ferris-Glick, Jennifer; Joshi, Ambarish; Nixon, Tristan; Ritter, Steve – Society for Research on Educational Effectiveness, 2013
In designing learning environments that support student learning, there are many instructional design decisions. These include when and how to provide examples, verbal explanations, feedback, and other scaffolding features. In this paper, the authors investigate instructional guidance as it relates to Cognitive Tutor, an intelligent tutoring…
Descriptors: Instructional Design, Instructional Effectiveness, Algebra, High School Students
McNamara, Danielle S.; Crossley, Scott A.; Roscoe, Rod – Grantee Submission, 2013
The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Writing Instruction, Feedback (Response)
Yan, Peng; Slator, Brian M.; Vender, Bradley; Jin, Wei; Kariluoma, Matti; Borchert, Otto; Hokanson, Guy; Aggarwal, Vaibhav; Cosmano, Bob; Cox, Kathleen T.; Pilch, André; Marry, Andrew – International Association for Development of the Information Society, 2013
Research into virtual role-based learning has progressed over the past decade. Modern issues include gauging the difficulty of designing a goal system capable of meeting the requirements of students with different knowledge levels, and the reasonability and possibility of taking advantage of the well-designed formula and techniques served in other…
Descriptors: Intelligent Tutoring Systems, Immersion Programs, Role Playing, Biological Sciences
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Cheng, Hsiao-fang – Journal of Pan-Pacific Association of Applied Linguistics, 2015
English textbooks are widely used in every discipline in the majority of colleges and universities in Taiwan. To prepare college students for their future careers, it is necessary they be given systematic training and practice in reading these books. However, due to time constraints, most content teachers focus on the delivery of content rather…
Descriptors: Foreign Countries, Student Attitudes, English (Second Language), Second Language Learning
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