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Nakayama, Keita; Shimada, Atsushi; Minematsu, Tsubasa; Taniguchi, Yuta; Taniguchi, Rin-Ichiro – International Association for Development of the Information Society, 2019
Thanks to an increase in the amount of information on the Internet and the spread of ICT-supported educational environments, much attention has been paid to learning support based on "smart" recommendation technologies. In this study, we propose an education improvement model based on the recommender system using the human-in-the-loop…
Descriptors: Models, Information Dissemination, Internet, Educational Technology
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Tan, Sabine; Wiebrands, Michael; O'Halloran, Kay; Wignell, Peter – Technology, Pedagogy and Education, 2020
This paper presents the findings from a case study which explores how students engage with learning materials mediated through 360-degree panoramic videos. The case study extends findings from a project which developed an online platform for viewing and annotating 360-degree videos, and for providing data analytics (heatmaps, viewpoint tracking…
Descriptors: Learner Engagement, Video Technology, Learning Analytics, Instructional Materials
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Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses
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Nepal, Kedar; Paneru, Khyam; Basyal, Deepak – College Student Journal, 2020
This paper presents the results of a study on Calculus students' use of web-based homework. We collected data from students' web-based homework usage, such as their grades, time spent, number of attempts used to solve problems, and problem solutions. We also collected grades on in-class quizzes, which were given the day after homework had been…
Descriptors: Calculus, Undergraduate Students, Web Based Instruction, Mathematics Instruction
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Naujokaitiene, Justina; Tamoliune, Giedre; Volungeviciene, Airina; Duart, Josep M. – Journal of New Approaches in Educational Research, 2020
Student engagement is one of the most relevant topics within the academic and research community nowadays. Higher education curriculum, teaching and learning integrate new technology- supported learning solutions. New methods and tools enhance teacher and learner interactions and influence learner engagement positively. This research addresses the…
Descriptors: Learning Analytics, Learner Engagement, Instructional Improvement, Interaction
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Gafni, Ruti; Goldstein, Anat – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: The purpose of this study is to discover usage differences in task performance by students of different cultures, by examining procrastination patterns from a national cultural perspective and exploring the effect of multicultural virtual teamwork on students' individual procrastination. Background: This study aims to examine…
Descriptors: Teamwork, Time Management, Intercultural Communication, Online Courses
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Fomunyam, Kehdinga George – International Journal of Education and Practice, 2020
Machine learning technology is currently a new frontier for higher education globally, and the African higher education system needs to change in tandem with this technological trend in order to combat challenges faced by the system. These challenges include lack of institutional research to discover new knowledge, unfavorable methods of…
Descriptors: Foreign Countries, Electronic Learning, Higher Education, Educational Technology
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Broos, Tom; Pinxten, Maarten; Delporte, Margaux; Verbert, Katrien; De Laet, Tinne – Assessment & Evaluation in Higher Education, 2020
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey…
Descriptors: Data Analysis, Learning Analytics, Dropout Prevention, Student Experience
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Archer, Elizabeth; Prinsloo, Paul – Assessment & Evaluation in Higher Education, 2020
Assessment and learning analytics both collect, analyse and use student data, albeit different types of data and to some extent, for various purposes. Based on the data collected and analysed, learning analytics allow for decisions to be made not only with regard to evaluating progress in achieving learning outcomes but also evaluative judgments…
Descriptors: Learning Analytics, Student Evaluation, Educational Objectives, Student Behavior
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Hasnine, Mohammad Nehal; Ogata, Hiroaki; Akçapinar, Gökhan; Mouri, Kousuke; Kaneko, Keiichi – International Journal of Distance Education Technologies, 2020
In ubiquitous learning, authentic experiences are captured and later reused as those are rich resources for foreign vocabulary development. This article presents an experiential theory-oriented approach to the design of learning analytics support for sharing and reusing authentic experiences. In this regard, first, a conceptual framework to…
Descriptors: Experiential Learning, Learning Analytics, Vocabulary Development, Authentic Learning
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Sharma, Bibhya; Nand, Ravneil; Naseem, Mohammed; Reddy, Emmenual V. – Studies in Higher Education, 2020
The widespread use of technology has facilitated many changes in the education sector including higher education. Academic institutes are concentrating their efforts on measuring the level of student engagement and participation in online learning environments for student success. This paper analyses student log data to quantify the effectiveness…
Descriptors: Blended Learning, Learning Analytics, Electronic Learning, Grades (Scholastic)
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Moro, Sérgio; Martins, António; Ramos, Pedro; Esmerado, Joaquim; Costa, Joana Martinho; Almeida, Daniela – Computers in the Schools, 2020
Many university programs include Microsoft Excel courses given their value as a scientific and technical tool. However, evaluating what is effectively learned by students is a challenging task. Considering multiple-choice written exams are a standard evaluation format, this study aimed to uncover the features influencing students' success in…
Descriptors: Multiple Choice Tests, Test Items, Spreadsheets, Computer Software
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Zhang, Zhaoli; Li, Zhenhua; Liu, Hai; Cao, Taihe; Liu, Sannyuya – Journal of Educational Computing Research, 2020
Online learning engagement detection is a fundamental problem in educational information technology. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real time. To improve the accuracy of learning engagement detection, we have collected two aspects of…
Descriptors: Learner Engagement, Learning Analytics, Nonverbal Communication, Pattern Recognition
Gordon, Jerry; Hayden, Trey; Johnson, Andy; Smith, Brent – Advanced Distributed Learning Initiative, 2020
The DoD's [Department of Defense's] Advanced Distributed Learning (ADL) Initiative is designing a framework of commercial standards, technical specifications, and business rules to enable plug and play interoperability of learning technologies. The Total Learning Architecture (TLA) framework will allow education and training products to…
Descriptors: Armed Forces, Military Training, Educational Technology, Delivery Systems
Murray-Boehler, Logan – ProQuest LLC, 2018
Learning analytics has emerged from a confluence of factors including expanding volumes of student data generated from learning management systems and student information systems, advanced technologies for retrieving and analyzing that data, and a desire of higher education institutions to understand more about student behavior, teaching and…
Descriptors: Learning Analytics, Program Implementation, Community Colleges, Privacy
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