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Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
Yang, Juan; Thomas, Michael S. C.; Qi, Xiaofei; Liu, Xuan – Computer Assisted Language Learning, 2019
From a psycholinguistic perspective of view, there are many cognitive differences that matter to individuals' second-language acquisition (SLA). Although many computer-assisted tools have been developed to capture and narrow the differences among learners, the use of these strategies may be highly risky because changing the environments or the…
Descriptors: Foreign Countries, Cognitive Ability, Phonological Awareness, English Teachers
Karabekir, Esin Pektas; Akmanoglu, Nurgul – Education and Training in Autism and Developmental Disabilities, 2018
This study aims to examine the effectiveness of video modeling presented via smartboard for teaching children with autism about social response in the form of gestures, and verbal and facial expressions indicative of happiness and anger, and evaluate the method in terms of maintenance and generalization. The study used a multiple probe design…
Descriptors: Video Technology, Modeling (Psychology), Clinical Diagnosis, Autism
Cazzell, Samantha; Browarnik, Brooke; Skinner, Amy; Skinner, Christopher; Cihak, David; Ciancio, Dennis; McCurdy, Merilee; Forbes, Bethany – School Psychology Forum, 2016
A multiple-baseline across-students design was used to evaluate the effects of a computer-based flashcard reading (CFR) intervention, developed using Microsoft PowerPoint software, on students' ability to read health-related words within 3 seconds. The students were three adults with intellectual disabilities enrolled in a postsecondary college…
Descriptors: Reading Comprehension, Intervention, Postsecondary Education, Intellectual Disability
Anthony, Jason L. – Journal of Research on Educational Effectiveness, 2016
This study evaluated Earobics Step 1, a commercial literacy program, and examined whether impact varied with children's school readiness and classroom instruction. Participants included 247 kindergarteners from 37 classrooms in nine Title 1 schools. Children were randomly assigned to receive 21 weeks of computerized instruction with Earobics or…
Descriptors: Literacy Education, Program Effectiveness, School Readiness, Randomized Controlled Trials
Nettelbeck, Ted; Wilson, Carlene – Intelligence, 2004
Inspection time (IT) and Peabody Picture Vocabulary Test (PPVT) scores from 75 school children aged 6-13 years in 2001 were compared with the performances of 70 children aged 6-13 years who had attended the same primary school in 1981 ["J. Exp. Child Psychol." 40 (1985) 1.]. ITs for the 2001 sample were measured with the same four-field…
Descriptors: Vocabulary Skills, Reaction Time, Intelligence Quotient, Intelligence Tests
Ownby, Raymond L.; Czaja, Sara J.; Loewenstein, David; Rubert, Mark – Gerontologist, 2008
Purpose: The purposes of this study were (a) to identify cognitive abilities and other factors related to successful completion of training for computer-based tasks that simulated real jobs and (b) to create a brief assessment battery useful in assessing older adults for these kinds of jobs. Design and Methods: Participants from three age groups…
Descriptors: Cognitive Ability, Computer Assisted Instruction, Success, Computer Simulation

Bailin, Alan – CALICO Journal, 1988
Computer-assisted language instruction incorporating artificial intelligence (CALI-AI) is based on the assumption that human cognitive abilities can be reproduced by mechanical means. The major components of CALI-AI are: 1) natural language processing; 2) problem solving; 3) language learning; and 4) modeling teacher behavior. Language teachers…
Descriptors: Artificial Intelligence, Cognitive Ability, Computer Assisted Instruction, Language Processing
Boy, Nancy Omaha, Ed. – Journal of Accelerated Learning and Teaching, 1998
This document comprises the entire output for the journal for 1998. The first article is in the form of a modified excerpt from an article by Donna I. Ali of the University of Calgary on "Multiple Intelligences and the Writing Process: Some Implications for Teaching." The article investigates why writing is difficult for some and easy for others,…
Descriptors: Acceleration (Education), Adult Education, Cognitive Ability, Computer Assisted Instruction
Federico, Pat-Anthony – 1985
Twenty-four measures of crystallized intelligence (G sub c) and fluid intelligence (G sub f) were obtained for samples of graduates and failures of an innovative instructional situation in which computer-managed mastery learning was used to teach elementary electricity and electronics. Seven stepwise multiple discriminant analyses and associated…
Descriptors: Academic Aptitude, Aptitude Tests, Aptitude Treatment Interaction, Cognitive Ability
Psotka, Joseph; And Others – 1988
Methods and approaches used at the U.S. Army Research Institute to investigate intelligent computer-assisted foreign language instruction are discussed. The research described explores the use of hypertext and natural language processing for improving language training by articulating student knowledge structures and for providing, incidentally, a…
Descriptors: Artificial Intelligence, Cognitive Ability, Communicative Competence (Languages), Computational Linguistics