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Showing 1 to 15 of 121 results Save | Export
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Yingbin Zhang; Luc Paquette; Nigel Bosch – International Journal of Artificial Intelligence in Education, 2025
Understanding the transitions among affective states during computer-based learning may guide the design of affect-responsive learning environments. Current studies have focused on the marginal strength of an affect transition, which is the average transition tendency over possible affective states preceding the transition. However, marginal…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Learning Experience
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Yueh-Hui Vanessa Chiang; Maiga Chang; Nian-Shing Chen – Educational Technology & Society, 2024
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including tools like ChatGPT, to shift from traditional outcome-oriented educational practices to a more…
Descriptors: Artificial Intelligence, Educational Practices, Process Education, Educational Objectives
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Skulmowski, Alexander – Educational Psychology Review, 2023
This review is aimed at synthesizing current findings concerning technology-based cognitive offloading and the associated effects on learning and memory. While cognitive externalization (i.e., using the environment to outsource mental computation) is a highly useful technique in various problem-solving tasks, a growing body of research suggests…
Descriptors: Mental Computation, Learning Processes, Memory, Problem Solving
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Camille Dickson-Deane; Patricia Grant; Dauran McNeil – Distance Learning, 2024
Recognizing that online teaching and learning is placed within an environment where neither the teacher nor the student has complete-control is the first step to actioning capabilities towards a humanized environment. The tool that is typically used in higher education, the learning management system (LMS), has a design that constrains learning…
Descriptors: Learning Management Systems, Empathy, Personal Autonomy, Electronic Learning
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Xia, Xiaona – Interactive Learning Environments, 2023
Learning interaction activities are the key part of tracking and evaluating learning behaviors, that plays an important role in data-driven autonomous learning and optimized learning in interactive learning environments. In this study, a big data set of learning behaviors with multiple learning periods is selected. According to the instance…
Descriptors: Behavior, Learning Processes, Electronic Learning, Algorithms
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Liu, Chunhong; Zhang, Haoyang; Zhang, Jieyu; Zhang, Zhengling; Yuan, Peiyan – International Journal of Information and Communication Technology Education, 2023
Current learning platforms generally have problems such as fragmented knowledge, redundant information, and chaotic learning routes, which cannot meet learners' autonomous learning requirements. This paper designs a learning path recommendation system based on knowledge graphs by using the characteristics of knowledge graphs to structurally…
Descriptors: Educational Technology, Artificial Intelligence, Electronic Learning, Concept Mapping
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Huang, Yao; Klein, James D. – TechTrends: Linking Research and Practice to Improve Learning, 2023
Mobile performance support systems (MPSS) involve the use of handheld and wearable devices to assist workers to complete job tasks that are not tied to a fixed location. This paper acknowledges MPSS as an emerging human performance technology (HPT) intervention and distinguishes the differences between mobile learning and MPSS. MPSS focuses on…
Descriptors: Telecommunications, Handheld Devices, Electronic Equipment, Information Technology
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Wan, Pengfei; Wang, Xiaoming; Lin, Yaguang; Pang, Guangyao – IEEE Transactions on Learning Technologies, 2021
Learners' autonomous learning is at the heart of modern education, and the convenient network brings new opportunities for it. We notice that learners mainly use the combination of online and offline learning methods to complete the entire autonomous learning process, but most of the existing models cannot effectively describe the complex process…
Descriptors: Independent Study, Personal Autonomy, Learning Processes, Electronic Learning
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Mandalawi, Sazan M.; Henderson, Robyn; Huijser, Henk; Kek, Megan Yih Chyn A. – Journal of University Teaching and Learning Practice, 2022
In this paper we present a case study of doctoral study at a distance, and we explore issues of belonging, pedagogy and learning as part of that process. As a team of one doctoral researcher and three supervisors, we critically reflect on the place of belonging in the context of doctoral study by distance. In this case study, the importance of…
Descriptors: Sense of Community, Doctoral Students, Distance Education, Teaching Methods
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Määttä, Kaarina; Köngäs, Mirja – Education and Society, 2021
This article describes and analyses a model of continuous learning pedagogy (CLP). Profound, ongoing societal change reflect our time and place new demands on work skills. The necessity to update skills challenges employers, employees, and ultimately the entire education system. Future pedagogical planning needs to consider: (1) the goals and…
Descriptors: Learning Processes, Adult Students, Lifelong Learning, Electronic Learning
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Yeh, Robert; Zoeckler, Laurence – Marketing Education Review, 2022
Fast-growing and evolving online content has enabled responsive curriculum updates to support students' learning of how to apply concepts to understand and solve real world problems. Written case studies have long served this purpose in a wide variety of disciplines, and many educators have seen value in presenting cases through the use of online…
Descriptors: Comparative Analysis, Longitudinal Studies, Undergraduate Students, Marketing
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Finkelstein, Idit; Soffer-Vital, Shira; Shraga-Roitman, Yael; Cohen-Liverant, Revital; Grebelsky-Lichtman, Tsfira – International Journal of Higher Education, 2022
Due to COVID-19, the world has encountered new challenges regarding pedagogy, learning, assessment, and evaluation. In meeting these challenges, there have been rapid changes in learning, and the gap between pedagogy and evaluation has grown. The purpose of this paper is to develop a new evaluative model suitable for the technologically enhanced,…
Descriptors: Student Evaluation, Evaluation Methods, Models, Culturally Relevant Education
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Morris, Thomas Howard – International Review of Education, 2019
Self-directed learning is a fundamental competence for adults living in our modern world, where social contextual conditions are changing rapidly, especially in a digital age. The purpose of the present article is to review key issues concerning self-directed learning in terms of (1) what are the historical foundations of the self-directed…
Descriptors: Independent Study, Social Change, Competence, Outcomes of Education
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Karataev, Evgeny; Zadorozhny, Vladimir – IEEE Transactions on Learning Technologies, 2017
Many techniques have been developed to enhance learning experience with computer technology. A particularly great influence of technology on learning came with the emergence of the web and adaptive educational hypermedia systems. While the web enables users to interact and collaborate with each other to create, organize, and share knowledge via…
Descriptors: Socialization, Social Networks, Electronic Publishing, Collaborative Writing
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Rufo, David – International Journal of Education & the Arts, 2020
In the spring of 2011, a teacher allowed his fourth and fifth grade students to draw and write on their classroom tables. What began as a few names eventually turned into a series of frenetic marks that completely covered the tabletops. Over the course of two years, new groups of students brought with them another cycle of marking that evolved in…
Descriptors: Freehand Drawing, Grade 4, Grade 5, Elementary School Students
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