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Gurcan, Fatih; Ozyurt, Ozcan; Cagiltay, Nergiz Ercil – International Review of Research in Open and Distributed Learning, 2021
E-learning studies are becoming very important today as they provide alternatives and support to all types of teaching and learning programs. The effect of the COVID-19 pandemic on educational systems has further increased the significance of e-learning. Accordingly, gaining a full understanding of the general topics and trends in e-learning…
Descriptors: Educational Trends, Electronic Learning, Models, Learning Analytics
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Anderson, Terry; Rivera-Vargas, Pablo – Digital Education Review, 2020
This article focuses on educational technology as applied in the context of programs and institutions that offer completely distance education courses. All education in the 21st century is digital education in that the use of networking, text and image creation and editing and search and retrieval of information punctuates the life of almost every…
Descriptors: Educational Technology, Distance Education, Technology Uses in Education, Electronic Learning
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Larmuseau, Charlotte; Cornelis, Jan; Lancieri, Luigi; Desmet, Piet; Depaepe, Fien – British Journal of Educational Technology, 2020
To have insight into cognitive load (CL) during online complex problem solving, this study aimed at measuring CL through physiological data. This study experimentally manipulated intrinsic and extraneous load of exercises in the domain of statistics, resulting in four conditions: high complex with hints, low complex with hints, high complex…
Descriptors: Learning Analytics, Problem Solving, Electronic Learning, Cognitive Processes
Priya Harindranathan – ProQuest LLC, 2020
A major problem faced by instructors post-implementation of unsupervised online assessments is that they may lack real-time access to the students' actual learning behaviors. Limitations in student-feedback, limited know-how of accessing and analyzing log data, and large class sizes could restrict instructors' access to learners' behaviors. This…
Descriptors: Tests, Supervision, Student Evaluation, Computer Assisted Testing
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Ramos, David Brito; Ramos, Ilmara Monteverde Martins; Gasparini, Isabela; Teixeira de Oliveira, Elaine Harada – International Journal of Distance Education Technologies, 2021
This work presents a new approach to the learning path model in e-learning systems. The model uses data from the database records from an e-learning system and uses graphs as representation. In this work, the authors show how the model can be used to represent visually the learning paths, behavior analysis, help to suggest group formation for…
Descriptors: Electronic Learning, Models, Graphs, Integrated Learning Systems
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Huang, Changqin; Han, Zhongmei; Li, Ming; Wang, Xizhe; Zhao, Wenzhu – Australasian Journal of Educational Technology, 2021
Sentiment evolution is a key component of interactions in blended learning. Although interactions have attracted considerable attention in online learning contexts, there is scant research on examining sentiment evolution over different interactions in blended learning environments. Thus, in this study, sentiment evolution at different interaction…
Descriptors: Learning Analytics, Interaction, Blended Learning, Electronic Learning
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Yilmaz, Fahri; Çakir, Hasan – Journal of Learning and Teaching in Digital Age, 2021
The purpose of this study is to define learning analytics, to introduce concepts related to learning analytics and to introduce potential study topics related to learning analytics. Today's education model has changed with evolving social and economic conditions over time. This change in education has created such new situations as individualized…
Descriptors: Learning Analytics, Definitions, Educational Change, Individualized Instruction
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Saleeb, Noha – International Journal of Information and Learning Technology, 2021
Purpose: One of the misconceptions of teaching and learning for practical-based programmes, such as engineering, sciences, architecture, design and arts, is the necessity to deliver via face-to-face physical modality. This paper refutes this claim by providing case studies of best practices in delivering such courses and their hands-on skillsets…
Descriptors: Learning Analytics, Computer Simulation, Educational Environment, Electronic Learning
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Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
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Çebi, Ayça; Güyer, Tolga – Education and Information Technologies, 2020
In this study, students' interactions with different learning activities are examined and the relation among learning performance with different interaction patterns, learning performance, self-regulated learning (SRL) strategies and motivation is presented. Learning materials including different kinds of activities are prepared and presented to…
Descriptors: Interaction, Behavior Patterns, Learning Analytics, Electronic Learning
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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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Sandhu, Kamaljeet – International Journal of Virtual and Personal Learning Environments, 2020
The aim of this article is to present the multivariate analyses results of the factors that influence students' acceptance and the continuance usage intention of e-learning analytics recommender systems in higher education institutions in Saudi Arabia. Data was collected from 353 Saudi Arabian university students via an online survey…
Descriptors: Electronic Learning, Learning Analytics, Foreign Countries, College Students
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Ivanova, Malinka – Informatics in Education, 2020
eLearning is fast progressing scientific field proposing novel and specific approaches in a range of domains. It is well established practice in universities, schools and organizations for delivering interactive, adaptive and flexible training, taking advantage of contemporary and emerging technologies. Informatics is a continuously evolving…
Descriptors: Electronic Learning, Learning Analytics, Automation, Information Systems
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Epler-Ruths, Colleen M.; McDonald, Scott; Pallant, Amy; Lee, Hee-Sun – Cognitive Research: Principles and Implications, 2020
This article represents the findings from the qualitative portion of a mixed methods study that investigated the impact of middle school students' spatial skills on their plate tectonics learning while using a computer visualization. Higher spatial skills have been linked to higher STEM achievement, while use of computer visualizations has mixed…
Descriptors: Spatial Ability, Middle School Students, Plate Tectonics, STEM Education
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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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