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Prasoon Patidar; Tricia J. Ngoon; Neeharika Vogety; Nikhil Behari; Chris Harrison; John Zimmerman; Amy Ogan; Yuvraj Agarwal – Journal of Learning Analytics, 2024
Classroom sensing systems can capture data on teacher-student behaviours and interactions at a scale far greater than human observers can. These data, translated to multi-modal analytics, can provide meaningful insights to educational stakeholders. However, complex data can be difficult to make sense of. In addition, analyses done on these data…
Descriptors: Learning Analytics, Classroom Observation Techniques, Data Analysis, Student Behavior
Sheree Rodney; Ami Mamolo – Canadian Journal of Science, Mathematics and Technology Education, 2023
This paper examines preservice teachers' experiences when they engage with tasks using dynamic technological applets to analyse data pertaining to societal issues. We examine two vignettes that discuss preservice teachers' interaction with dynamic visual representations of data related to plastic pollution and food supply. We analyse this data…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Oriented Programs, Data Analysis
Rossman, Allan; Cochran, James J. – Journal of Statistics Education, 2018
James J. Cochran is Professor of Applied Statistics, Rogers-Spivey Faculty Fellow, and Associate Dean for Research in the Culverhouse College of Commerce at the University of Alabama. He is a Fellow of the American Statistical Association and of Institute for Operations Research and Management Sciences. He is also a recipient of the INFORMS Prize…
Descriptors: Occupational Aspiration, College Faculty, Business Administration Education, Statistics
Moreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Estevez-Ayres, Iria; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
One of the characteristics of massive open online courses (MOOCs) is that the overall number of social interactions tend to be higher than in traditional courses, hindering the analysis of social learning. Learners typically ask or answer questions using the forum. This makes messages a rich source of information, which can be used to infer…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data
Zheng, Longwei; Shi, Rui; Wu, Bingcong; Gu, Xiaoqing; Feng, Yuanyuan – International Educational Data Mining Society, 2017
The adoption of educational technologies such as e-textbook has offered a new opportunity to gain insight into teachers' usage of ICT (Information and Communication Technologies). In the e-textbook platform, customized digital products and the learning activities organized in digital environment require teachers to make greater efforts in planning…
Descriptors: Educational Technology, Technology Uses in Education, Visualization, Data Collection
Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki – Educational Technology & Society, 2018
Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…
Descriptors: Data Collection, Data Analysis, Second Language Learning, Electronic Publishing
Pardos, Zachary A.; Whyte, Anthony; Kao, Kevin – Technology, Knowledge and Learning, 2016
In this paper, we address issues of transparency, modularity, and privacy with the introduction of an open source, web-based data repository and analysis tool tailored to the Massive Open Online Course community. The tool integrates data request/authorization and distribution workflow features as well as provides a simple analytics module upload…
Descriptors: Online Courses, Large Group Instruction, Technology Uses in Education, Educational Technology
Atapattu, Thushari; Falkner, Katrina; Tarmazdi, Hamid – International Educational Data Mining Society, 2016
With a goal of better understanding the online discourse within the Massive Open Online Course (MOOC) context, this paper presents an open source visualisation dashboard developed to identify and classify emergent discussion topics (or themes). As an extension to the authors' previous work in identifying key topics from MOOC discussion contents,…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Taylor, Katie Headrick; Silvis, Deborah; Kalir, Remi; Negron, Anthony; Cramer, Catherine; Bell, Adam; Riesland, Erin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2019
A project called Mobile City Science (MCS), a partnership between the University of Washington, New York Hall of Science, the Digital Youth Network, and two high schools, leverages young people's proclivity for on-the-move digital engagement to re-place and mobilize learning through public, community settings that youth identify as being relevant…
Descriptors: Educational Technology, Technology Uses in Education, College School Cooperation, High Schools
Sigman, Betsy Page; Garr, William; Pongsajapan, Robert; Selvanadin, Marie; McWilliams, Mindy; Bolling, Kristin – Decision Sciences Journal of Innovative Education, 2016
The expression "big data" is ubiquitous in the business world today, but few undergraduate business students have the opportunity to gain practical experience with how new business analytics tools can be used in decision making. This article describes a set of hands-on labs that prepare students to incorporate streaming data analysis…
Descriptors: Visualization, Social Media, Telecommunications, Technology Uses in Education
Brinton, Christopher Greg – ProQuest LLC, 2016
The "big data revolution" has penetrated many fields, from network monitoring to online retail. Education and learning are quickly becoming part of it, too, because today, course delivery platforms can collect unprecedented amounts of behavioral data about students as they interact with learning content online. This data includes, for…
Descriptors: Technology Uses in Education, Educational Technology, Data Collection, Data Analysis
Higman, Carolyn S.; Situ, Henry; Blacklin, Peter; Hein, Jason E. – Journal of Chemical Education, 2017
Advances in 3D printing technology over the past decade have led to its expansion into all subfields of science, including chemistry. This technology provides useful teaching tools that facilitate communication of difficult chemical concepts to students and researchers. Presented here is the use of 3D printing technology to create tangible models…
Descriptors: Undergraduate Study, College Science, Chemistry, Hands on Science
Bull, Susan; Wasson, Barbara – ReCALL, 2016
This paper introduces an open learner model approach to learning analytics to combine the variety of data available from the range of applications and technologies in language learning, for visualisation of language learning competences to learners and teachers in the European language context. Specific examples are provided as illustrations…
Descriptors: Competence, Visualization, Educational Research, Data Collection
Zhang, Jia-Hua; Zhang, Ye-Xing; Zou, Qin; Huang, Sen – Educational Technology & Society, 2018
The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…
Descriptors: Data Collection, Data Analysis, Educational Research, Diaries
Walcutt, J. J., Ed.; Schatz, Sae, Ed. – Advanced Distributed Learning Initiative, 2019
The book examines the shift needed to our systems and society to enable lifelong, experiential, interconnected learning journeys. The book outlines the vision for a learning ecosystem that spans technology, learning science, policy, and organizational factors. "Modernizing Learning" is the outcome of a multi-year study recently completed…
Descriptors: Educational Change, Lifelong Learning, Experiential Learning, Educational History
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