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Ifenthaler, Dirk; Gibson, David; Prasse, Doreen; Shimada, Atsushi; Yamada, Masanori – Educational Technology Research and Development, 2021
This paper is based on: (1) a literature review focussing on the impact of learning analytics on supporting learning and teaching; (2) a Delphi study involving international expert discussion on current opportunities and challenges of learning analytics; as well as (3) outlining a research agenda for closing identified research gaps. Issues and…
Descriptors: Learning Analytics, Policy Formation, Educational Policy, Educational Practices
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Blau, Ina; Shamir-Inbal, Tamar – Educational Technology Research and Development, 2021
Interactive features of the hyper-video environment, such as indexing, bookmarks, links to learning materials, multiple-choice questions, and personal and shared annotations, can enhance learning processes. This paper examines integration of the "Annoto" hyper-video platform in three large undergraduate courses (A, B & C) at a large…
Descriptors: Undergraduate Students, Writing (Composition), Documentation, Hypermedia
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Alzahrani, Asma Shannan; Tsai, Yi-Shan; Aljohani, Naif; Whitelock-wainwright, Emma; Gasevic, Dragan – Educational Technology Research and Development, 2023
Learning analytics (LA) has gained increasing attention for its potential to improve different educational aspects (e.g., students' performance and teaching practice). The existing literature identified some factors that are associated with the adoption of LA in higher education, such as stakeholder engagement and transparency in data use. The…
Descriptors: Teacher Attitudes, Trust (Psychology), Learning Analytics, Higher Education
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Rosenheck, Louisa; Cheng, Meng-Tzu; Lin, Chen-Yen; Klopfer, Eric – Educational Technology Research and Development, 2021
Games can be rich environments for learning and can elicit evidence of students' conceptual understanding and inquiry processes. Illuminating students' content-specific gameplay decisions, or methods of completing game tasks related to a certain domain, requires a context that is open-ended enough for students to make choices that demonstrate…
Descriptors: Game Based Learning, Decision Making, Learning Analytics, Genetics
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Jeong, Allan C. – Educational Technology Research and Development, 2020
Despite the last 40 years of research showing that computer-aided diagramming tools improve student learning, very little research reveals the cognitive processes that explain why and how diagramming tools and specific features of the tools affect learning. This study developed a tool that graduate students used to diagram and analyze arguments as…
Descriptors: Concept Mapping, Visual Aids, Persuasive Discourse, Thinking Skills
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Frick, Theodore W.; Myers, Rodney D.; Dagli, Cesur – Educational Technology Research and Development, 2022
In this naturalistic design-research study, we tracked 172,417 learning journeys of students who were interacting with an online resource, the Indiana University Plagiarism Tutorials and Tests (IPTAT) at https://plagiarism.iu.edu. IPTAT was designed using First Principles of Instruction (FPI; Merrill in Educ Technol Res Dev 50:43-59, 2002,…
Descriptors: Time, Educational Principles, Instructional Design, Instructional Effectiveness
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Gallego-Romero, Jesús Manuel; Alario-Hoyos, Carlos; Estévez-Ayres, Iria; Delgado Kloos, Carlos – Educational Technology Research and Development, 2020
Massive Open Online Courses (MOOCs) can be enhanced with the so-called learning-by-doing, designing the courses in a way that the learners are involved in a more active way in the learning process. Within the options for increasing learners' interaction in MOOCs, it is possible to integrate (third-party) external tools as part of the instructional…
Descriptors: Learner Engagement, Student Behavior, Learning Analytics, Online Courses
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Han, Jeongyun; Huh, Sun Young; Cho, Young Hoan; Park, SoHyun; Choi, Jinhan; Suh, Bongwon; Rhee, Wonjong – Educational Technology Research and Development, 2020
This study investigates the possibility of utilizing online learning data to design face-to-face activities in a flipped classroom. We focus on heterogeneous group formation for effective collaborative learning. Fifty-three undergraduate students (18 males, 35 females) participated in this study, and 8 students (3 males, 5 females) among them…
Descriptors: Electronic Learning, Learning Analytics, Data Use, Synchronous Communication
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Zotou, Maria; Tambouris, Efthimios; Tarabanis, Konstantinos – Educational Technology Research and Development, 2020
Problem based learning (PBL) supports the development of transversal skills and could underpin the training of a workforce competent to withstand the constant generation of new information. However, the application of PBL is still facing challenges, as educators are usually unsure how to structure student-centred courses, how to monitor students'…
Descriptors: Problem Based Learning, Data Use, Learning Analytics, Skill Development
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Li, Jessica; Wong, Seohyun Claire; Yang, Xue; Bell, Allison – Educational Technology Research and Development, 2020
How should learner analytics and different media be used to optimize feedback to increase students' motivation and sense of learning community in online learning programs? This study was designed to examine the usage of feedback delivery methods (text only, video only, or both) and learner analytics (individual vs. class average) to answer the…
Descriptors: Learning Analytics, Feedback (Response), Student Participation, Electronic Learning
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Lee, Ji-Eun; Chan, Jenny Yun-Chen; Botelho, Anthony; Ottmar, Erin – Educational Technology Research and Development, 2022
Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods (k-means clustering, data visualization) to…
Descriptors: Computer Games, Educational Games, Mathematics Instruction, Learning Processes
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Valle, Natercia; Antonenko, Pavlo; Valle, Denis; Sommer, Max; Huggins-Manley, Anne Corinne; Dawson, Kara; Kim, Dongho; Baiser, Benjamin – Educational Technology Research and Development, 2021
Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…
Descriptors: Online Courses, Graduate Students, Statistics Education, Anxiety
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Demmans Epp, Carrie; Phirangee, Krystle; Hewitt, Jim; Perfetti, Charles A. – Educational Technology Research and Development, 2020
From massive open online courses (MOOC) to the smaller scale use of learning management systems, many students interact with online platforms that are meant to support learning. Investigations into the use of these systems have considered how well students learn when certain approaches are employed. However, we do not fully understand how course…
Descriptors: Integrated Learning Systems, Student Experience, Learning Analytics, Online Courses
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van Leeuwen, Anouschka – Educational Technology Research and Development, 2019
The flipped classroom model is a form of blended learning in which delivery of content occurs with online materials, and face-to-face meetings are used for teacher-guided practice. It is important that teachers stay up to date with the activities students engage in, which may be accomplished with the help of learning analytics (LA). This study…
Descriptors: Teacher Attitudes, Usability, Learning Analytics, Blended Learning
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Li, Liang-Yi; Tsai, Chin-Chung – Educational Technology Research and Development, 2020
This study developed a learning system that allows teachers to edit assignments designed to teach students the text structure strategy through the use of four phases: instructing, modeling, practicing, and reflecting. A 7-week instructional experiment was conducted in which 84 12th-grade students learned the text structure strategy using this…
Descriptors: Student Behavior, Behavior Patterns, Learning Analytics, Text Structure
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