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Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
Higgins, Derrick; Futagi, Yoko; Deane, Paul – ETS Research Report Series, 2005
This paper reports on the process of modifying the ModelCreator item generation system to produce output in multiple languages. In particular, Japanese and Spanish are now supported in addition to English. The addition of multilingual functionality was considerably facilitated by the general formulation of our natural language generation system,…
Descriptors: Multilingualism, Computer Software, Japanese, Spanish
Crossman, William – 1999
In the 21st century, VIVOs (voice-in/voice-out computers using visual displays but no text) will make written language obsolete. Written language is essentially a technology created 6,000 to 10,000 years ago for storing and retrieving information. VIVOs will perform this same function more easily, efficiently, and universally without requiring…
Descriptors: Access to Information, Computer Mediated Communication, Computer Oriented Programs, Futures (of Society)

Witbrock, Michael J.; Hauptmann, Alexander G. – Journal of the American Society for Information Science, 1998
Production of the meta-data supporting the Informedia Digital Video Library interface is automated using techniques derived from artificial intelligence research. Speech recognition and natural-language processing, information retrieval, and image analysis are applied to produce an interface that helps users locate information and navigate more…
Descriptors: Artificial Intelligence, Audiotape Recordings, Computer Interfaces, Computer Software
Dodigovic, Marina – Language Awareness, 2003
Based on the statistical regularity of certain error types, an interlanguage grammar could be devised and applied to develop an intelligent computer tool, capable not only of identifying the typical errors in L2 student writing, but also of making adequate corrections. The purpose of the corrections is to make the student aware of the language…
Descriptors: Assignments, Sentences, Research and Development, Metalinguistics
Lane, H. Chad; VanLehn, Kurt – Computer Science Education, 2005
For beginning programmers, inadequate problem solving and planning skills are among the most salient of their weaknesses. In this paper, we test the efficacy of natural language tutoring to teach and scaffold acquisition of these skills. We describe ProPL (Pro-PELL), a dialogue-based intelligent tutoring system that elicits goal decompositions and…
Descriptors: Control Groups, Intelligent Tutoring Systems, Programming, Natural Language Processing
Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha – Interactive Learning Environments, 2003
CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…
Descriptors: Natural Language Processing, Medical Students, Computer Mediated Communication, Artificial Intelligence

Yang, Jie Chi; Akahori, Kanji – CALICO Journal, 1998
Describes development and evaluation of an error analysis procedure for a computer-assisted language learning program using natural language processing techniques. The program can be used for learning passive voice in Japanese on any World Wide Web browser. The program enables learners to type sentences freely, detects errors, and displays…
Descriptors: Computer Assisted Instruction, Computer Software, Computer Software Development, Error Analysis (Language)

Dodigovic, Marina – CALICO Journal, 1998
In most computer-assisted-language-learning (CALL) projects, research forms an important part of the development process. However, this research frequently goes unnoticed by the academic community, and developers often fail to receive academic recognition for the research component imbedded in their development projects.(Author/ER)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software Development, English (Second Language)
Stoltzfus, Allen – 1997
This brief report describes the Rosetta Stone Language Library, a set of multimedia second language instructional materials. These materials emphasize comprehension of spoken language as the first step to acquiring fluency, sometimes referred to as the "comprehension approach" or "natural approach." The materials are designed…
Descriptors: Audiolingual Skills, Computer Assisted Instruction, Feedback, Learning Theories
Alfonseca, Enrique; Carro, Rosa M.; Freire, Manuel; Ortigosa, Alvaro; Perez, Diana; Rodriguez, Pilar – Educational Technology & Society, 2005
Adaptation techniques can be applied not only to the multimedia contents or navigational possibilities of a course, but also to the assessment. In order to facilitate the authoring of adaptive free-text assessment and its integration within adaptive web-based courses, Adaptive Hypermedia techniques and Free-text Computer Assisted Assessment are…
Descriptors: Evaluation Methods, Student Evaluation, Instructional Design, Electronic Learning
Yaratan, Huseyin – Turkish Online Journal of Educational Technology - TOJET, 2003
An ITS (Intelligent Tutoring System) is a teaching-learning medium that uses artificial intelligence (AI) technology for instruction. Roberts and Park (1983) defines AI as the attempt to get computers to perform tasks that if performed by a human-being, intelligence would be required to perform the task. The design of an ITS comprises two distinct…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Testing, Researchers

Fox, Edward A.; Urs, Shalini R. – Annual Review of Information Science and Technology (ARIST), 2002
Provides an overview of digital libraries research, practice, and literature. Highlights include new technologies; redefining roles; historical background; trends; creating digital content, including conversion; metadata; organizing digital resources; services; access; information retrieval; searching; natural language processing; visualization;…
Descriptors: Access to Information, Computer Interfaces, Computer Software, Data Conversion
Grigoriadou, Maria; Tsaganou, Grammatiki; Cavoura, Theodora – Educational Technology & Society, 2005
The Reflective Tutorial Dialogue System (ReTuDiS) is a system for learner modelling historical text comprehension through reflective dialogue. The system infers learners' cognitive profiles and constructs their learner models. Based on the learner model the system plans the appropriate--personalized for learners--reflective tutorial dialogue in…
Descriptors: Individualized Instruction, Cognitive Style, Communication Strategies, Discourse Analysis
Pon-Barry, Heather; Clark, Brady; Schultz, Karl; Bratt, Elizabeth Owen; Peters, Stanley; Haley, David – Educational Technology & Society, 2005
In this paper we describe the ways that SCoT, a Spoken Conversational Tutor, uses flexible and adaptive planning as well as multimodal task modeling to support the contextualization of learning in reflective dialogues. Past research on human tutoring has shown reflective discussions (discussions occurring after problem-solving) to be effective in…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Knowledge Representation, Educational Technology