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Tiphaine Colliot; Abraham E. Flanigan – Journal of Computer Assisted Learning, 2024
Background: Many instructors transitioned their courses from face-to-face environments to computer-mediated learning environments (CMLEs) following the onset of the coronavirus disease 2019 (COVID-19) pandemic. However, little was known about how teleconferencing platforms and their corresponding functions affect student learning when the COVID-19…
Descriptors: Reading Processes, Notetaking, Video Technology, Lecture Method
Chao-Jung Wu; Chia-Yu Liu – Journal of Computer Assisted Learning, 2025
Background: Although comprehending illustrated texts is essential, adult readers in this era may not have acquired reading comprehension strategies. Eye-movement modelling example (EMME) is promising for helping less-skilled learners master these strategies; however, its benefits for adults remain unknown. Another understudied factor in the EMME…
Descriptors: Eye Movements, Models, Reading Strategies, Reading Comprehension
Song, Ningyuan; Chen, Kejun; Jin, Xiufang; Zhao, Yuehua – Journal of Computer Assisted Learning, 2023
Background: In the digital environment, users' academic reading behaviour has changed, working with many articles simultaneously to search, filter, scan, link, annotate and analyse content fragments. The semantic enhancement environment has been widely set with semantic technologies to offer additional and handy support for users and thus…
Descriptors: Reading Processes, Reading Skills, Semantics, Cognitive Processes
Lishan Zhang; Lili Liu; Shuwen Wang; Min Xu; Sixv Zhang; Yun Tang – Journal of Computer Assisted Learning, 2025
Background: Collaborative reading can facilitate students' understanding of complex learning materials. High-quality annotations provided by peer learners are essential for successful collaborative reading. However, it remains to be understood how annotation quality affects reading comprehension. Objectives: A simulated collaborative reading…
Descriptors: Educational Quality, Documentation, Reading Processes, Eye Movements
He, Qiwei; Borgonovi, Francesca; Suárez-Álvarez, Javier – Journal of Computer Assisted Learning, 2023
Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in…
Descriptors: Data Analysis, Reading Processes, Task Analysis, Time on Task
Angelica Ronconi; Lucia Mason; Lucia Manzione; Anne Schüler – Journal of Computer Assisted Learning, 2025
Background: During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes. Objectives: This study investigated the effects of on-screen distractions, as…
Descriptors: Eye Movements, Electronic Learning, Computer Uses in Education, Reading
Ariasi, N.; Hyönä, J.; Kaakinen, J. K.; Mason, L. – Journal of Computer Assisted Learning, 2017
In this study, we used eye-tracking methodology for deeper understanding of the refutation text effect on online text comprehension. A refutation text acknowledges the reader's alternative conceptions about a phenomenon, refutes them and presents the correct conceptions. We tested two hypotheses about its facilitation effect: the coherence…
Descriptors: Eye Movements, Reading Comprehension, Reading Instruction, Reading Processes
Rets, Irina; Rogaten, Jekaterina – Journal of Computer Assisted Learning, 2021
Open Educational Resources (OER) aim to provide equal access to education. Yet, as the language level used in OER presents a barrier to many learners, there is a need to make these resources more comprehensible. This study combined eye-tracking methodology and comprehension assessment to explore the effect of text simplification on English second…
Descriptors: Open Educational Resources, Second Language Learning, Second Language Instruction, English (Second Language)
Zhai, Xuesong; Fang, Qiansheng; Dong, Yan; Wei, Zhihui; Yuan, Jing; Cacciolatti, Luca; Yang, Yalong – Journal of Computer Assisted Learning, 2018
Previous studies posited the effectiveness of stimulated recall. However, few studies explored how SR is implemented in a relatively static context, for example, online self-directed learning, or took human factors, for example, cognitive style and gender, into consideration in such a context. To fill this gap, the current study, aims to introduce…
Descriptors: Simulation, Biofeedback, Eye Movements, Reading Comprehension

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