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Jia Zhang; Zhuo Zhang – Journal of Computer Assisted Learning, 2024
Background: AI can positively influence teaching by offering support for classroom management, creating inclusive learning environments, enhancing digital skills, personalizing teaching methods, and strengthening teacher-student relationships. Objectives: This quantitative research study investigates the opportunities, difficulties, and…
Descriptors: Inclusion, Teaching Methods, Computer Assisted Instruction, Barriers
Parmaxi, Antigoni; Demetriou, Alan A. – Journal of Computer Assisted Learning, 2020
This systematic review study synthesizes research findings pertaining to the use of augmented reality (AR) in language learning. Published research from 2014 to 2019 has been explored and specific inclusion and exclusion criteria have been applied resulting in 54 relevant publications. Our findings determined: (a) devices and software employed for…
Descriptors: Computer Uses in Education, Language Acquisition, Computer Simulation, State of the Art Reviews
McLaughlin, T.; Yan, Z. – Journal of Computer Assisted Learning, 2017
This article is a review of literature on online formative assessment (OFA). It includes a narrative summary that synthesizes the research on the diverse delivery methods of OFA, as well as the empirical literature regarding the strong psychological benefits and limitations. Online formative assessment can be delivered using many traditional…
Descriptors: Formative Evaluation, Computer Assisted Testing, Delivery Systems, Achievement Gains