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Elisabeth Bauer; Constanze Richters; Amadeus J. Pickal; Moritz Klippert; Michael Sailer; Matthias Stadler – British Journal of Educational Technology, 2025
This study explores whether AI-generated adaptive feedback or static feedback is favourable for student interest and performance outcomes in learning statistics in a digital learning environment. Previous studies have favoured adaptive feedback over static feedback for skill acquisition, however, without investigating the outcome of students'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Statistics Education
Li Qian; Sarimah Shamsudin; Zuraidah Mohd Don – SAGE Open, 2024
The pervasive use of synchronous computer-mediated communication (SCMC) in second language (L2) learning has generated increasing interest among researchers in integrating SCMC with task-based language teaching (TBLT). This study examined the effects of task complexity on Chinese EFL learners' language production in SCMC modality to develop…
Descriptors: English (Second Language), Computer Mediated Communication, Synchronous Communication, Task Analysis
Gregory J. Heathco – Communication Teacher, 2025
University classrooms are increasingly populated by students with diverse nationalities and native languages (L1). The growing number of students in English-led classrooms who speak English as a second or lower language (L2) may face added difficulties in understanding the specific task objectives or directions, as explained by native-…
Descriptors: English (Second Language), Second Language Learning, Comparative Analysis, Language Processing
Klaudia Gajewska – JALT CALL Journal, 2025
Given the novelty of human--machine communication (HMC) in task-based language learning (TBLL), we conducted a multimethodological pilot study to explore the use of Alexa in out-of-class task-based learning to mediate texts in English as a foreign language. Fourteen Polish intermediate learners participated in the quasi-experiment and programme…
Descriptors: Computer Software, Artificial Intelligence, Technology Uses in Education, Teaching Methods
Neuman, Susan B.; Wong, Kevin M.; Kaefer, Tanya – Reading and Writing: An Interdisciplinary Journal, 2017
The purpose of this study was to investigate the influence of digital and non-digital storybooks on low-income preschoolers' oral language comprehension. Employing a within-subject design on 38 four-year-olds from a Head Start program, we compared the effect of medium on preschoolers' target words and comprehension of stories. Four digital…
Descriptors: Reading Comprehension, Statistical Analysis, Preschool Education, Disadvantaged Youth

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