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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Taylor, Charlie – MEXTESOL Journal, 2023
Whether or not to teach grammar explicitly is an issue that has long been debated in the field of SLA. There seems to be a growing consensus among many researchers now in support of embedding some element of explicit instruction within a communicative curriculum. The main arguments in support of explicit instruction are threefold: two widely cited…
Descriptors: Teaching Methods, Meta Analysis, Grammar, Second Language Learning
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
De Cat, Cécile – First Language, 2022
The development of the Multilingual Assessment Instrument for Narratives (MAIN) has no doubt contributed to prompting a renewed interest in children's narratives. This carefully controlled test of narrative abilities elicits a rich set of measures spanning multiple linguistic domains and their interaction, including lexis, morphosyntax,…
Descriptors: Multilingualism, Narration, Measurement Techniques, Morphology (Languages)
Spoelman, Marianne; Verspoor, Marjolijn – Applied Linguistics, 2010
Within a Dynamic System Theory (DST) approach, it is assumed that language is in a constant flux, but that differences in the degree of variability can give insight into the developmental process. This longitudinal case study focuses on intra-individual variability in accuracy rates and complexity measures in Finnish learner language. The study…
Descriptors: Sentences, Literacy, Finno Ugric Languages, Longitudinal Studies
Mayor, Julien; Plunkett, Kim – Psychological Review, 2010
We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to…
Descriptors: Generalization, Vocabulary Development, Classification, Language Acquisition
Unsworth, Nash; Engle, Randall W. – Journal of Memory and Language, 2006
Complex working memory span tasks have been shown to predict performance on a number of measures of higher-order cognition including fluid abilities. However, exactly why performance on these tasks is related to higher-order cognition is still not known. The present study examined the patterns of errors made on two common complex span tasks. The…
Descriptors: Scoring, Memory, Cues, Error Analysis (Language)
Geary, David C.; Hoard, Mary K.; Byrd-Craven, Jennifer; DeSoto, M. Catherine – Journal of Experimental Child Psychology, 2004
Groups of first-grade (mean age = 82 months), third-grade (mean age = 107 months), and fifth-grade (mean age = 131 months) children with a learning disability in mathematics (MD, n=58) and their normally achieving peers (n = 91) were administered tasks that assessed their knowledge of counting principles, working memory, and the strategies used to…
Descriptors: Grade 1, Grade 5, Learning Disabilities, Memory