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Icoz, Kutay; Sanalan, Vehbi A.; Ozdemir, Esra Benli; Kaya, Sukru; Cakar, Mehmet Akif – Educational Sciences: Theory and Practice, 2015
Ontologies have often been recommended for E-learning systems, but few efforts have successfully incorporated student data to represent knowledge conceptualizations. Defining key concepts and their relations between each other establishes the backbone of our E-learning system. The system guides an individual student through his/her course by…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Knowledge Level
Merlo, Jarrad R.; Gruba, Paul A. – Australian Review of Applied Linguistics, 2015
Despite an increased emphasis on form-focused instruction (FFI), the use of the computer as a grammar tutor has remained largely unexamined for nearly two decades. With new technologies at hand, there is a need to take a fresh look at online grammar tutors and link designs more strongly to contemporary second language acquisition (SLA) principles…
Descriptors: Video Technology, Grammar, Second Language Learning, Second Language Instruction
Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Journal of Educational Psychology, 2015
Research shows that multiple external representations can significantly enhance students' learning. Most of this research has focused on learning with text and 1 additional graphical representation. However, real instructional materials often employ multiple "graphical" representations (MGRs) in addition to text. An important open…
Descriptors: Graphs, Instructional Materials, Instructional Effectiveness, Educational Experiments
Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – Grantee Submission, 2015
To learn from an error, students must correct the error by engaging in sense-making activities around the error. Past work has looked at how supporting collaboration around errors affects learning. This paper attempts to shed further light on the role that collaboration can play in the process of overcoming an error. We found that good…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Cooperative Learning
Beasley, Robert; Bryant, Nathan L.; Dodson, Phillip T.; Entwistle, Kevin C. – Journal of Educational Multimedia and Hypermedia, 2013
The purpose of this study was to investigate the effects of textisms (i.e., abbreviated spellings, acronyms, and other shorthand notations) on learning, study time, and instructional perceptions in an online artificial intelligence instructional module. The independent variable in this investigation was experimental condition. For the control…
Descriptors: Written Language, Learning, Study Habits, Student Attitudes
Matsuda, Noboru; Yarzebinski, Evelyn; Keiser, Victoria; Raizada, Rohan; Cohen, William W.; Stylianides, Gabriel J.; Koedinger, Kenneth R. – Journal of Educational Psychology, 2013
This article describes an advanced learning technology used to investigate hypotheses about learning by teaching. The proposed technology is an instance of a teachable agent, called SimStudent, that learns skills (e.g., for solving linear equations) from examples and from feedback on performance. SimStudent has been integrated into an online,…
Descriptors: Intelligent Tutoring Systems, Tutor Training, Computer Simulation, Artificial Intelligence
Gosha, Kinnis – ProQuest LLC, 2013
This dissertation presents the design, development and short-term evaluation of an embodied conversational agent designed to mentor human users. An embodied conversational agent (ECA) was created and programmed to mentor African American computer science majors on their decision to pursue graduate study in computing. Before constructing the ECA,…
Descriptors: STEM Education, African American Students, Mentors, Computer Science Education
Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2013
Collaborative and individual instruction may support different types of knowledge. Optimal instruction for a subject domain may therefore need to combine these two modes of instruction. There has not been much research, however, on combining individual and collaborative learning with Intelligent Tutoring Systems (ITSs). A first step is to expand…
Descriptors: Cooperative Learning, Intelligent Tutoring Systems, Teaching Methods, Educational Technology
Ansari, Sid; Sykes, Edward R. – Technology, Instruction, Cognition and Learning, 2012
Enthymemes are a manner of presenting a deductive argument. A deductive argument consists of three elements: A major premise (e.g., All men are mortal.), a minor premise (e.g., Aristotle is a man.), and a conclusion (i.e., Therefore, Aristotle is mortal.). An enthymeme is a truncated deductive argument; one of the members is left unstated. From a…
Descriptors: Persuasive Discourse, Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education
Clark, Amy K.; Whetstone, Patti – Journal of Educational Research, 2014
The authors explored the impact of an online tutoring program, Math Whizz (Whizz Education, 2014), on student mathematics achievement at 15 elementary schools. Students participated in the use of the Math Whizz program for the duration of the school year as a supplement to mathematics instruction. The Math Whizz program recorded such information…
Descriptors: Program Effectiveness, Mathematics Instruction, Intelligent Tutoring Systems, Mathematics Tests
Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Lipschultz, Michael; Litman, Diane; Katz, Sandra; Albacete, Patricia; Jordan, Pamela – Grantee Submission, 2014
Post-problem reflective tutorial dialogues between human tutors and students are examined to predict when the tutor changed the level of abstraction from the student's preceding turn (i.e., used more general terms or more specific terms); such changes correlate with learning. Prior work examined lexical changes in abstraction. In this work, we…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Semantics, Abstract Reasoning
Ma, Xiaojun; Xin, Yan Ping; Tzur, Ron; Si, Luo; Yang, Xuan; Park, Joo Y.; Liu, Jia; Ding, Rui – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
Reform-based math instruction calls for students' construction of conceptual understanding, solving challenging problems and explanation of reasoning. However, existing literature shows that students with learning disabilities (LD) easily get lost in reform-based instruction. As an outcome of collaborative work between math education and special…
Descriptors: Educational Technology, Technology Uses in Education, Learning Disabilities, Problem Solving
Kwon, Oh-Woog; Lee, Kiyoung; Kim, Young-Kil; Lee, Yunkeun – Research-publishing.net, 2015
This paper introduces a Dialog-Based Computer-Assisted second-Language Learning (DB-CALL) system using semantic and grammar correctness evaluations and the results of its experiment. While the system dialogues with English learners about a given topic, it automatically evaluates the grammar and content properness of their English utterances, then…
Descriptors: Computer Assisted Instruction, Semantics, Grammar, Teaching Methods
Hsieh, Tung-Cheng; Lee, Ming-Che; Su, Chien-Yuan – Educational Technology & Society, 2013
In recent years, the demand for computer programming professionals has increased rapidly. These computer engineers not only play a key role in the national development of the computing and software industries, they also have a significant influence on the broader national knowledge industry. Therefore, one of the objectives of information…
Descriptors: Foreign Countries, Computer Science Education, Individualized Instruction, Remedial Instruction

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