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Mette Alma Kjaersholm Boie; Christian Dalsgaard; Francesco Caviglia – British Journal of Educational Technology, 2024
The paper introduces the student-coined term "digital instinct" which describes students' disposition to resorting to digital technology for solving problems and doing school assignments. Taking cues from the term "digital instinct," the paper describes a student perspective on digital literacy emerging from 100 lived…
Descriptors: Digital Literacy, Secondary School Students, Technology Uses in Education, Cognitive Ability
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Rebecca L. Matz; Mark Mills; Holly A. Derry; Benjamin T. Hayward; Caitlin Hayward – British Journal of Educational Technology, 2024
Mastery-based assignments typically provide students with multiple opportunities to improve their performance, but getting students to take advantage of these opportunities is difficult. We report on the implementation of a two-part series of nudges designed to improve students' engagement with and performance on mastery-based assignments in…
Descriptors: Mastery Learning, Scores, Assignments, Prompting
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Li, Rui – British Journal of Educational Technology, 2023
Despite the popularity of automated writing evaluation (AWE) that has provoked an increased scholarly interest, synthesized research to comprehensively understand its pedagogical effects is still in paucity. To fill the gap, this study aims to meta-analyse the overall effect of AWE on learners' writing skill development and whether the effect…
Descriptors: Writing Evaluation, Writing Tests, Automation, Writing Skills
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Mohan Yang; Shiyan Jiang; Belle Li; Kristin Herman; Tian Luo; Shanan Chappell Moots; Nolan Lovett – British Journal of Educational Technology, 2025
Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how…
Descriptors: Nontraditional Students, Artificial Intelligence, Technology Uses in Education, Man Machine Systems