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Jasmin Breitwieser; Andreas B. Neubauer; Florian Schmiedek; Garvin Brod – npj Science of Learning, 2024
Mobile devices are ubiquitous, but their potential for adaptive educational interventions remains largely untapped. We identify three key promises of mobile interventions for educational research and practice: 1) intervening when it is most beneficial (i.e., "just-in-time adaptivity"), 2) estimating causal effects of interventions in…
Descriptors: Students, Handheld Devices, Computer Assisted Instruction, Educational Technology
Ha, Jesse; Pérez Cortés, Luis E.; Su, Man; Nelson, Brian C.; Bowman, Catherine; Bowman, Judd D. – International Journal of Computer-Supported Collaborative Learning, 2021
Mobile devices and apps have become a standard for the museum experience. Many studies have begun to explore the impact mobile apps may have on user experience and informal learning. However, there has been relatively little research on how visitor groups interact collaboratively while using these devices in computer-supported collaborative…
Descriptors: Computer Software, Museums, Telecommunications, Handheld Devices
Amara, Sofiane; Bendella, Fatima; Macedo, Joaquim; Santos, Alexandre – International Journal of Information and Communication Technology Education, 2021
Given the peculiarities of mobile computer-supported collaborative learning (MCSCL) environments, forming suitable groups in such learning environments represents a hard and time-consuming task. This is because many conditions related to mobile learners, devices, and environment should be considered. Unlike the existing solutions, the present…
Descriptors: Cooperative Learning, Telecommunications, Handheld Devices, Computer Assisted Instruction
Li Xiangming; Xuening Li; Jingshun Zhang – Interactive Learning Environments, 2024
In this paper, we report a 12-week longitudinal study aiming at exploring the students' reading outcome and cognitive load with individual-based print, mobile app of Rain Classroom and collaboration-based social media of WeChat. Administered to 186 postgraduate students in a research university were the weekly reading materials and comprehension…
Descriptors: Outcomes of Education, Reading, Cognitive Processes, Difficulty Level
Yihuan Yuan; Jamalludin B. Harun; Zhiru Wang – International Journal of Computer-Assisted Language Learning and Teaching, 2023
As globalization continues to grow, there is an increasing need for skilled interpreters. However, the interpreting skills of many students are still deficient: firstly, they are incapable of understanding the source language clearly; secondly, they are incapable of expressing standard English accurately. Therefore, the purpose of this study is to…
Descriptors: Computer Assisted Instruction, Teaching Methods, Computer Software, Handheld Devices
Lin, Chih-Chung; Barrett, Neil E.; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2021
Context-aware ubiquitous learning (CAUL) technology provides language learners with interactive learning environments and has been found to increase learning effectiveness and self-efficacy due to student interaction, discussion and evaluation of the entire learning process. This study used a mobile-based ubiquitous learning system combined with a…
Descriptors: English (Second Language), Handheld Devices, Cooperative Learning, Second Language Learning
Solodka, Anzhelika; Ruskulis, Liliia; Demianenko, Olha; Zaskaleta, Svitlana – Arab World English Journal, 2022
Mobile-assisted language learning (MALL) is a new channel of learning languages. The usage of MALL instructional design integrates mobile devices with educational scenarios of teaching foreign languages. The study explores the central issue of how MALL instructional course design could help students to construct an out-of-class MALL experience.…
Descriptors: Telecommunications, Handheld Devices, Second Language Learning, Student Attitudes
Kuhail, Mohammad Amin; Alturki, Nazik; Alramlawi, Salwa; Alhejori, Kholood – Education and Information Technologies, 2023
Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners' behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
Dua, Anoushka; Coppola, Kristen M.; Mulheron, George W.; Troupe, David; Lebeau, Robert – Anatomical Sciences Education, 2021
Gross anatomy dissection in contemporary medical education must balance the traditional value of learning from the cadaver with the possibilities created by the use of digital tools as supplemental resources that personalize and deepen the student learning experience. This study broadly examined the design, implementation, and use of…
Descriptors: Medical Education, Medical Students, Laboratory Procedures, Computer Assisted Instruction
Martinez-Maldonado, Roberto – International Journal of Computer-Supported Collaborative Learning, 2019
In Computer-Supported Collaborative Learning (CSCL) classrooms it may be challenging for teachers to keep awareness of certain aspects of the learning process of each small group or assess whether the enactment of the class script deviates from the original plan. Orchestration tools, aimed at supporting the management of the increasing uncertainty…
Descriptors: Computer Assisted Instruction, Handheld Devices, Teacher Attitudes, Cooperative Learning
Kearney, Matthew; Maher, Damian – Australasian Journal of Educational Technology, 2019
Interest in how to use mobile devices to support teaching and learning has increased as technologies have become more sophisticated and ubiquitous. A recent focus in teacher education is the use of mobile devices to support teachers' professional learning networks (PLNs). This study investigates how pre-service teachers (PSTs) use mobile…
Descriptors: Electronic Learning, Preservice Teacher Education, Preservice Teachers, Handheld Devices
Hur, Paul; Bosch, Nigel; Paquette, Luc; Mercier, Emma – International Educational Data Mining Society, 2020
Collaborative problem solving behaviors are difficult to identify and foster due to their amorphous and dynamic nature. In this paper, we investigate the value of considering early class period behaviors, based on small group development theory, for building predictive machine learning models of collaborative behaviors during problem solving. Over…
Descriptors: Cooperative Learning, Interaction, Peer Relationship, Handheld Devices
García-Sánchez, Soraya – International Journal of Computer-Assisted Language Learning and Teaching, 2020
Discussing and reasoning remain essential activities in a 21st educational and professional ecosystem, which are often supported by multimodal communication. This paper links learning English as a Foreign Language (EFL) to a professional and communicative approach through the debate task, which is supported by a ubiquitous CALL/MALL environment.…
Descriptors: English (Second Language), Second Language Learning, Debate, 21st Century Skills
Dickinson, Paul – Research-publishing.net, 2020
This study explored participation by Japanese university English as a Foreign Language (EFL) learners in Computer Assisted Language Learning/Mobile Assisted Language Learning (CALL/MALL) vocabulary tasks through the lens of Complexity Theory (CT). CT, which studies how complex systems are influenced by changes in interconnected variables…
Descriptors: Student Participation, College Freshmen, Late Adolescents, Computer Assisted Instruction
Seedhouse, Paul; Heslop, Phil; Kharruf, Ahmed – TESL-EJ, 2020
Cooking is a universal task of humanity and is intimately linked with culture and language. This article explains the advantages of using real-world cooking as a basis for task-based and technology-assisted language learning. It outlines how the latest digital technology can be used by learners over the Internet to learn aspects of languages and…
Descriptors: Cooking Instruction, Internet, Food, Curriculum Enrichment