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Heift, Trude – CALICO Journal, 2007
In examining the titles of this year's conference presentations, the author noticed quite a few papers that focus on learner-specific issues, for instance, papers that address learning styles, learner needs, personality and learning, learner modeling and, more generally, pedagogical issues that deal with individual learner differences in…
Descriptors: Feedback (Response), Computer Assisted Instruction, Educational Technology, Language Processing
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Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
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Sharf, Richard S. – Journal of Counseling & Development, 1985
The ability of computers to understand phrases and sentences has implications for future trends in counseling. Examples of computer-person interaction are given. (Author)
Descriptors: Artificial Intelligence, Career Counseling, Computer Assisted Instruction, Computer Software
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Delmonte, Rodolfo – CALICO Journal, 2003
Presents four sets of natural language processing-based exercises for which error correction and feedback are produced by means of a rich database in which linguistic information is encoded either at the lexical or the grammatical level. (Author/VWL)
Descriptors: Computer Assisted Instruction, Databases, Error Correction, Feedback
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Nerbonne, John; Dokter, Duco; Smit, Petra – Computer Assisted Language Learning, 1998
Reports on GLOSSER, an intelligent assistant for Dutch students learning to read French, and discusses the position of natural-language processing within computer-assisted instruction, using GLOSSER as an example. (Author/VWL)
Descriptors: Computer Assisted Instruction, Dutch, French, Morphology (Languages)
Paillet, Jean-Pierre – 1984
In an interview, a professor of linguistics at Carleton University (Ontario) discusses his use of computers and the programing language LOGO in a fourth-year linguistics course. LOGO was chosen because of its similarity to natural language and its method of structuring data. The first use was in an experimental linguistics seminar, in which the…
Descriptors: Advanced Courses, Classroom Techniques, Computer Assisted Instruction, Divergent Thinking
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Pasero, Robert; Sabatier, Paul – Computer Assisted Language Learning, 1998
Describes principles underlying ILLICO, a generic natural-language software tool for building larger applications for performing specific linguistic tasks such as analysis, synthesis, and guided composition. Shows to what extent this approach is relevant to the development of computer-assisted language-learning systems. (Author/VWL)
Descriptors: Computer Assisted Instruction, Computer Software, Natural Language Processing, Second Language Instruction
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Borchardt, Frank – CALICO Journal, 1987
Argues that humanities specialists should become more informed and involved in the development of computer uses in natural language processing. (LMO)
Descriptors: Computer Assisted Instruction, Information Technology, Language Processing, Science and Society
Dalgish, Gerard M. – Collegiate Microcomputer, 1987
This discussion of courseware design for computer-assisted language learning in English as a second language (ESL) highlights the role of randomization and creativity. A set of programs is described which are based on error analysis of students in the ESL program at Baruch College and developed around grammatical terms. (Author/LRW)
Descriptors: Computer Assisted Instruction, Courseware, Creativity, English (Second Language)
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Lange, Dale L.; And Others – CALICO Journal, 1985
Presents the rationale behind a model for the use of the computer in the development of reading comprehension. Basic assumptions concerning reading are delineated. The model has three basic components: intake (text processing and text comprehension), personalization, and extension. (Author/SED)
Descriptors: Computer Assisted Instruction, French, German, Higher Education
Thrush, Emily A.; Hardisty, David – 1989
Computer networking has made many new activities available to language learners. While these innovations are practical, they are also grounded in theory and justifiable on sound principles of language learning. Computers make possible classroom activities maximizing the benefit drawn from complex and otherwise unmanageable communicative…
Descriptors: Class Activities, Classroom Techniques, Computer Assisted Instruction, Computer Networks
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Kramsch, Claire; And Others – CALICO Journal, 1985
Details the current status, the future plans and the reasoning behind a five-year, campus-wide educational experiment for the integration of computers into the foreign language curriculum at MIT. The project is to use artificial intelligence in natural processing and to include interactive video and interactive audio components. (Author/SED)
Descriptors: Artificial Intelligence, Communicative Competence (Languages), Computer Assisted Instruction, Courseware
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Rypa, Marikka Elizabeth; Price, Patti – CALICO Journal, 1999
Describes the Voice Interactive Training System (VILTS), a language-training prototype developed to help improve comprehension and speaking skills. The system incorporates two related technologies: speech recognition and pronunciation scoring. Discusses the motivation for the program, the interdisciplinary efforts involved, and the resulting…
Descriptors: Cognitive Style, Communicative Competence (Languages), Computer Assisted Instruction, Computer Software Evaluation
Grice, R. D. – Unicorn, Journal of the Australian College of Education, 1986
The nature of literacy associated with the widely used new medium of microcomputers has not been fully exploited by schools to foster development of literacy programs. Microcomputer applications need integration with classroom activities where students construct language meaning. (19 references) (CJH)
Descriptors: Computational Linguistics, Computer Assisted Instruction, Computer Literacy, Computer Simulation
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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)
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