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Lottridge, Susan; Woolf, Sherri; Young, Mackenzie; Jafari, Amir; Ormerod, Chris – Journal of Computer Assisted Learning, 2023
Background: Deep learning methods, where models do not use explicit features and instead rely on implicit features estimated during model training, suffer from an explainability problem. In text classification, saliency maps that reflect the importance of words in prediction are one approach toward explainability. However, little is known about…
Descriptors: Documentation, Learning Strategies, Models, Prediction
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
Sidi, Yael; Blau, Ina; Shamir-Inbal, Tamar – Journal of Computer Assisted Learning, 2022
Background: Hyper-video technology allows reflection on learning materials by writing personal notes and by interactions with lecturers and peers through shared posts and replies. While research shows that integrating hyper-videos in educational systems can promote the learning processes and outcomes, an open question remains regarding its actual…
Descriptors: Active Learning, Cooperative Learning, College Students, Documentation
Wang, Yanqing; Wang, Fuxing; Mayer, Richard E.; Hu, Xiangen; Gong, Shaoying – Journal of Computer Assisted Learning, 2023
Background: How to improve learning with online multimedia lessons has attracted widespread concern. Prior studies have attempted to help students learn by breaking a video lesson into several segments. However, there has been a debate about whether learners can use pause time effectively and whether prompting them to engage in different types of…
Descriptors: Multimedia Instruction, Multimedia Materials, Prompting, Documentation
Sun, Chunmei; Hwang, Gwo-Jen; Yin, Zhaoyi; Wang, Zhonghou; Wang, Zhuo – Journal of Computer Assisted Learning, 2023
Background: Social annotation (SA) allows users to collaboratively highlight important texts, make comments and discuss with each other on the same online document. This would not only accelerate and deepen learners' cognitive understanding of information, but also help build a sense of rapport, which is critical especially because of the…
Descriptors: Trend Analysis, Computer Mediated Communication, Cooperative Learning, Documentation
Klingenberg, Sara; Fischer, Rachel; Zettler, Ingo; Makransky, Guido – Journal of Computer Assisted Learning, 2023
Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of…
Descriptors: Computer Simulation, Computer Uses in Education, Secondary School Students, STEM Education
Jo-Ling Chang; Hsiu-Ting Hung; Ya-Ting C. Yang – Journal of Computer Assisted Learning, 2024
Background: Critical thinking and argumentative writing are considered complex but essential skills for learners. However, few studies have examined how instructions can be designed to optimize the development of such skills simultaneously. Contextualized in flipped language classrooms, this study aimed to develop an instructional innovation for…
Descriptors: English (Second Language), Second Language Learning, Critical Thinking, Persuasive Discourse
Flor, Michael; Andrews-Todd, Jessica – Journal of Computer Assisted Learning, 2022
Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology-enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory-driven measurements that are usually carried out…
Descriptors: Automation, Documentation, Cooperative Learning, Teamwork
Lee, Hye Yeon; List, Alexandra – Journal of Computer Assisted Learning, 2019
This study examined strategies used across two modalities of information presentation. Students were presented with two sources on endangered species, either as two texts or two videos. Then, participants were asked to annotate the two sources either using the track changes function in Microsoft Word, for the text condition, or using the VideoAnt,…
Descriptors: Video Technology, Written Language, Documentation, Word Processing
Chew, Chiou Sheng; Idris, Norisma; Loh, Er Fu; Wu, Wen-Chi Vivian; Chua, Yan Piaw; Bimba, Andrew Thomas – Journal of Computer Assisted Learning, 2019
This paper focuses on the design and evaluation of a theory-based computer-assisted summary writing learning environment called Summary Writing-PAL (SW-PAL). The SW-PAL was developed based on four aspects: summarizing strategies, learning theories, prior knowledge, and cognitive load. A quasi-experiment that involved 58 undergraduates majoring in…
Descriptors: Writing Instruction, Writing (Composition), Educational Technology, Computer Uses in Education
Hoff, C.; Wehling, U.; Rothkugel, S. – Journal of Computer Assisted Learning, 2009
Making annotations on books and learning materials is part of students' everyday life. Although there are many computer-based annotation systems, many people prefer to print digital documents and make annotations on physical paper. We introduce a classification scheme for computer-based annotation systems and provide an overview of different…
Descriptors: Documentation, Classification, Electronic Publishing, Technological Advancement
Liou, H.-C.; Yang, P.-C.; Chang, J. S. – Journal of Computer Assisted Learning, 2012
Various writing assistance tools have been developed through efforts in the areas of natural language processing with different degrees of success of curriculum integration depending on their functional rigor and pedagogical designs. In this paper, we developed a system, WriteAhead, that provides six types of suggestions when non-native graduate…
Descriptors: Graduate Students, Second Language Learning, Computer Software, Computer System Design

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