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Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
Schneider, Bertrand; Pea, Roy – Journal of Learning Analytics, 2015
In a previous study, we found that real-time mutual gaze perception (i.e., being able to see the gaze of your partner in real time on a computer screen while solving a learning task) had a positive effect on student collaboration and learning (Schneider & Pea, 2013). The goals of this paper are (1) to explore a variety of computational…
Descriptors: Eye Movements, Computer Mediated Communication, Discussion (Teaching Technique), Predictor Variables
Ferguson, Rebecca; Macfadyen, Leah P.; Clow, Doug; Tynan, Belinda; Alexander, Shirley; Dawson, Shane – Journal of Learning Analytics, 2014
A core goal for most learning analytic projects is to move from small-scale research towards broader institutional implementation, but this introduces a new set of challenges because institutions are stable systems, resistant to change. To avoid failure and maximize success, implementation of learning analytics at scale requires explicit and…
Descriptors: Educational Research, Data Collection, Data Analysis, Barriers
Martin, Caitlin K.; Nacu, Denise; Pinkard, Nichole – Journal of Learning Analytics, 2016
Online environments can cultivate what have been referred to as 21st century skills and capabilities, as youth contribute, pursue, share, and interact around work and ideas. Such environments also hold great potential for addressing digital divides related to the development of such skills by connecting youth in areas with fewer resources and…
Descriptors: Data Collection, Data Interpretation, Creativity, Socialization
Monroy, Carlos; Rangel, Virginia Snodgrass; Whitaker, Reid – Journal of Learning Analytics, 2014
In this paper, we discuss a scalable approach for integrating learning analytics into an online K-12 science curriculum. A description of the curriculum and the underlying pedagogical framework is followed by a discussion of the challenges to be tackled as part of this integration. We include examples of data visualization based on teacher usage…
Descriptors: Elementary Secondary Education, Science Education, Science Curriculum, Educational Research
Ochoa, Xavier; Suthers, Dan; Verbert, Katrien; Duval, Erik – Journal of Learning Analytics, 2014
Analyzing a conference, especially one as young and focused as LAK, provides the opportunity to observe the structure and contributions of the scientific community around it. This work will perform a Scientometric analysis, coupled with a more in-depth manual content analysis, to extract this insight from the proceedings and program of LAK 2013.…
Descriptors: Data Analysis, Data Collection, Conferences (Gatherings), Content Analysis
Wise, Alyssa Friend; Zhao, Yuting; Hausknecht, Simone Nicole – Journal of Learning Analytics, 2014
This paper describes an application of learning analytics that builds on an existing research program investigating how students contribute and attend to the messages of others in asynchronous online discussions. We first overview the E-Listening research program and then explain how this work was translated into analytics that students and…
Descriptors: Data Collection, Data Analysis, Asynchronous Communication, Computer Mediated Communication
Worsley, Marcelo; Blikstein, Paulo – Journal of Learning Analytics, 2014
Learning analytics and educational data mining are introducing a number of new techniques and frameworks for studying learning. The scalability and complexity of these novel techniques has afforded new ways for enacting education research and has helped scholars gain new insights into human cognition and learning. Nonetheless, there remain some…
Descriptors: Data Analysis, Data Collection, Engineering, Design
Kelly, Nick; Thompson, Kate; Yeoman, Pippa – Journal of Learning Analytics, 2015
This paper describes theory-led design as a way of developing novel tools for learning analytics (LA). It focuses upon the domain of automated discourse analysis (ADA) of group learning activities to help an instructor to orchestrate online groups in real-time. The paper outlines the literature on the development of LA tools within the domain of…
Descriptors: Data Analysis, Data Collection, Computer Assisted Instruction, Cooperative Learning
Hecking, Tobias; Ziebarth, Sabrina; Hoppe, H. Ulrich – Journal of Learning Analytics, 2014
This paper presents an analysis of resource access patterns in two recently conducted online courses. One of these has been a master level university lecture taught as a blended learning course with a wide range of online learning activities and materials, including collaborative wikis, self-tests, and thematic videos. The other course has been…
Descriptors: Online Courses, Blended Learning, Educational Technology, Technology Uses in Education
Gunnarsson, Bjorn Levi; Alterman, Richard – Journal of Learning Analytics, 2014
Promoting blog content is a social activity--a means of communicating one student's appreciation of another student's work. This article explores the feasibility of using student promotions of content, in a blogosphere, to identify quality content, and implications for students and instructors. We show that students actively and voluntarily…
Descriptors: Electronic Publishing, Web Sites, Diaries, Social Media
van Leeuwen, Anouschka – Journal of Learning Analytics, 2015
Learning analytics (LA) are summaries, visualizations, and analyses of student data that could improve learning in multiple ways, for example by supporting teachers. However, not much research is available yet concerning how LA may support teachers to diagnose student progress and to intervene during student learning activities. There is evidence…
Descriptors: Data Collection, Data Analysis, Student Evaluation, Cognitive Processes
Colthorpe, Kay; Zimbardi, Kirsten; Ainscough, Louise; Anderson, Stephen – Journal of Learning Analytics, 2015
It is well established that a student's capacity to regulate his or her own learning is a key determinant of academic success, suggesting that interventions targeting improvements in self-regulation will have a positive impact on academic performance. However, to evaluate the success of such interventions, the self-regulatory characteristics of…
Descriptors: Data Analysis, Data Collection, Educational Research, Self Control
Jayaprakash, Sandeep M.; Moody, Erik W.; Lauría, Eitel J. M.; Regan, James R.; Baron, Joshua D. – Journal of Learning Analytics, 2014
The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and…
Descriptors: At Risk Students, College Students, Open Source Technology, Data Analysis
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden – Journal of Learning Analytics, 2014
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…
Descriptors: Psychometrics, Data Analysis, Academic Achievement, Postsecondary Education