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Worsley, Marcelo; Martinez-Maldonado, Roberto; D'Angelo, Cynthia – Journal of Learning Analytics, 2021
Multimodal learning analytics (MMLA) has increasingly been a topic of discussion within the learning analytics community. The Society of Learning Analytics Research is home to the CrossMMLA Special Interest Group and regularly hosts workshops on MMLA during the Learning Analytics Summer Institute (LASI). In this paper, we articulate a set of 12…
Descriptors: Learning Analytics, Artificial Intelligence, Data Collection, Statistical Inference
Winne, Philip H.; Teng, Kenny; Chang, Daniel; Lin, Michael Pin-Chuan; Marzouk, Zahia; Nesbit, John C.; Patzak, Alexandra; Rakovic, Mladen; Samadi, Donya; Vytasek, Jovita – Journal of Learning Analytics, 2019
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gaševic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…
Descriptors: Learning Analytics, Learning Processes, Independent Study, Computer Software
Hoppe, H. Ulrich – Journal of Learning Analytics, 2015
This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…
Descriptors: Eye Movements, Interaction, Cooperative Learning, Semantics
Roll, Ido; Winne, Philip H. – Journal of Learning Analytics, 2015
Self-regulated learning is an ongoing process rather than a single snapshot in time. Naturally, the field of learning analytics, focusing on interactions and learning trajectories, offers exciting opportunities for analyzing and supporting self-regulated learning. This special section highlights the current state of research at the intersection of…
Descriptors: Educational Research, Data Collection, Data Analysis, Electronic Learning
Khalila, Mohammad; Ebner, Martin – Journal of Learning Analytics, 2016
Learning analytics has reserved its position as an important field in the educational sector. However, the large-scale collection, processing, and analyzing of data has steered the wheel beyond the borders to face an abundance of ethical breaches and constraints. Revealing learners' personal information and attitudes, as well as their activities,…
Descriptors: Educational Research, Data Collection, Data Analysis, Technology Uses in Education
Reich, Justin; Tingley, Dustin; Leder-Luis, Jetson; Roberts, Margaret E.; Stewart, Brandon M. – Journal of Learning Analytics, 2015
Dealing with the vast quantities of text that students generate in Massive Open Online Courses (MOOCs) and other large-scale online learning environments is a daunting challenge. Computational tools are needed to help instructional teams uncover themes and patterns as students write in forums, assignments, and surveys. This paper introduces to the…
Descriptors: Large Group Instruction, Online Courses, Data Collection, Data Analysis
Hewitt, Jim – Journal of Learning Analytics, 2015
The article, "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning" is an interesting study that operates at the intersection of learning theory and learning analytics. The authors observe that the relationship between learning theory and research in the learning analytics field is constrained by several…
Descriptors: Retention (Psychology), Science Education, Educational Research, Data Collection
Merceron, Agathe; Blikstein, Paulo; Siemens, George – Journal of Learning Analytics, 2015
This article introduces the special issue from the 2015 Learning Analytics and Knowledge conference. We describe the current state of the field and identify some of the trends in recent research. As the field continues to expand, there seem to be at least three directions of vigorous growth: (1) the inclusion of multimodal data (gesture,…
Descriptors: Educational Research, Data, Data Collection, Data Analysis
Siemens, George – Journal of Learning Analytics, 2014
The paper gives a brief overview of the main activities for the development of the emerging field of learning analytics led by the Society for Learning Analytics Research (SoLAR). The place of the "Journal of Learning Analytics" is identified. Analytics is the most significant new initiative of SoLAR.
Descriptors: Periodicals, Data Analysis, Data Collection, Educational Research
Aghababyan, Ani; Martin, Taylor; Janisiewicz, Philip; Close, Kevin – Journal of Learning Analytics, 2016
Learning analytics is an emerging discipline and, as such, benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the second annual Learning Analytics Summer Institute in Cambridge, Massachusetts, on 30 June 2014. Specifically, this paper…
Descriptors: Educational Research, Data Collection, Data Analysis, Workshops
Gruzd, Anatoliy; Paulin, Drew; Haythornthwaite, Caroline – Journal of Learning Analytics, 2016
In just a short period, social media have altered many aspects of our daily lives, from how we form and maintain social relationships to how we discover, access, and share information online. Now social media are also affecting how we teach and learn. In this paper, we discuss methods that can help researchers and educators evaluate and understand…
Descriptors: Social Media, Teaching Methods, Network Analysis, Workshops
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Dowell, Nia M. M.; Graesser, Arthur C.; Cai, Zhiqiang – Journal of Learning Analytics, 2016
The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We…
Descriptors: Discourse Analysis, Workshops, Computational Linguistics, Guidelines
Pechenizkiy, Mykola; Gaševic, Dragan – Journal of Learning Analytics, 2014
This section offers a compilation of 16 extended abstracts summarizing research of the doctoral students who participated in the Second Learning Analytics Summer Institute (LASI 2014) held at Harvard University in July 2014. The abstracts highlight the motivation, main goals and expected contributions to the field from the ongoing learning…
Descriptors: Educational Research, Data Collection, Data Analysis, Doctoral Programs
Pardos, Zachary A. – Journal of Learning Analytics, 2015
In Miyamoto et al. (2015, this issue) the authors looked to substantiate the presence of the spacing effect, referenced from the psychology literature, in several MOOCs. Their secondary analyses constituted a robust, empirical finding on the correspondence between session distribution and certification but with only a coarse, analogous…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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