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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
Ernesto R. Gutierrez Topete – ProQuest LLC, 2023
In phonetics research, language alternation--including code switching (speaker-initiated) and cued switching (researcher-prompted)--can be used as a tool to investigate various aspects of speech production and perception in bilingual or multilingual speakers (Bullock & Toribio, 2009a). Studies on the production of voice onset time (VOT) during…
Descriptors: Second Language Learning, Second Language Instruction, Bilingualism, Spanish

Renie, Delphine; Chanier, Thierry – Computer Assisted Language Learning, 1995
Discusses how collaborative learning (CL) can be used in a computer-assisted learning (CAL) environment for language learning, reviewing research in the fields of applied linguistics, educational psychology, and artificial intelligence. An application of CL and CAL in the learning of French as a Second Language, focusing on interrogative…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Cooperative Learning, Educational Psychology

Bull, Susan – Computers & Education, 1994
Describes the student model of an intelligent computer-assisted language learning (CALL) system that is based on current theories in the field of second-language acquisition. Highlights include acquisition order of the target rules; language learning strategies; language transfer; language awareness; and student reactions. (Contains seven…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Higher Education, Language Research
Ginsberg, Ralph B. – 1989
Most of the now commonplace computer-assisted instruction (CAI) uses computers to increase the capacity to perform logical, numerical, and symbolic computations. However, computers are an interactive and potentially intelligent medium. The implications of artificial intelligence (AI) for learning are more radical than those for traditional CAI. AI…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Educational Environment, Educational Research
Jasdzewski, Gary – 1998
The work of connectionist researchers is examined in order to understand better the implications for modeling second language learning processes. Connectionism is a biologically-oriented framework for understanding complex behavior, and provides a modeling tool (computer simulation) that behaves and learns without rules being explicitly wired into…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Oriented Programs, Language Processing

Mulford, George W. – Computers and the Humanities, 1989
Outlines the history of semantically based programs that have influenced the design of computer assisted language instruction (CALI) programs. Describes early attempts to make intelligent CALI as well as current projects, including the Foreign Language Adventure Game, developed at the University of Delaware. Describes some important…
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction, Computer Software
Hawson, Anne – 1994
It is proposed that research on neurological organization, cognitive psychology, and artificial intelligence can contribute to understanding the relationship between second language learning processes and academic achievement. Relevant research in these areas and in the field of neurolinguistics is reviewed, with several themes or topics…
Descriptors: Academic Achievement, Artificial Intelligence, Cognitive Psychology, Educational Strategies