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Showing 61 to 75 of 164 results Save | Export
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Lund, Kristine; Quignard, Matthieu; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Recordings of human interaction data can be organized into temporal representations with different affordances. We use audio data of a learning-related discussion analyzed for its low-level emotional indicators and divided into four phases, each characterized by an overarching emotion. After arguing for the relevance of emotion to learning, we…
Descriptors: Epistemology, Network Analysis, Interaction, Models
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Epp, Carrie Demmans; Phirangee, Krystle; Hewitt, Jim – Journal of Learning Analytics, 2017
Identifying which online behaviours and interactions are associated with student perceptions of being supported will enable a deeper understanding of how those activities contribute to learning experiences. Student language is one aspect of their interaction in need of greater exploration within discourse-based online learning environments. As a…
Descriptors: Student Behavior, Computer Mediated Communication, Form Classes (Languages), Language Usage
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Sharma, Kshitij; Chavez-Demoulin, Valérie; Dillenbourg, Pierre – Journal of Learning Analytics, 2017
The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in statistics, called extreme value theory (EVT). EVT claims that the bulk of normal distribution is comprised mainly of uninteresting variations while the most…
Descriptors: Foreign Countries, Educational Research, Statistical Distributions, Theories
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Siebert-Evenstone, Amanda L.; Irgens, Golnaz Arastoopour; Collier, Wesley; Swiecki, Zachari; Ruis, Andrew R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Analyses of learning based on student discourse need to account not only for the content of the utterances but also for the ways in which students make connections across turns of talk. This requires segmentation of discourse data to define when connections are likely to be meaningful. In this paper, we present an approach to segmenting data for…
Descriptors: Semantics, Discourse Analysis, Models, Epistemology
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Lee, Alwyn Vwen Yen; Tan, Seng Chee – Journal of Learning Analytics, 2017
Understanding ideas in a discourse is challenging, especially in textual discourse analysis. We propose using temporal analytics with unsupervised machine learning techniques to investigate promising ideas for the collective advancement of communal knowledge in an online knowledge building discourse. A discourse unit network was constructed and…
Descriptors: Multivariate Analysis, Time Perspective, Discourse Analysis, Qualitative Research
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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
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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
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Hoel, Tore; Chen, Weiqin – Journal of Learning Analytics, 2016
Studies have shown that issues of privacy, control of data, and trust are essential to implementation of learning analytics systems. If these issues are not addressed appropriately, systems will tend to collapse due to a legitimacy crisis, or they will not be implemented in the first place due to resistance from learners, their parents, or their…
Descriptors: Privacy, Data Analysis, Computer Oriented Programs, Systems Development
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Buckingham Shum, Simon; Crick, Ruth Deakin – Journal of Learning Analytics, 2016
Many educational institutions are shifting their teaching and learning towards equipping students with knowledge, skills, and dispositions that prepare them for lifelong learning, in a complex and uncertain world. These have been termed "21st century competencies." Learning analytics (LA) approaches in general offer different kinds of…
Descriptors: Minimum Competencies, Data Analysis, Research Tools, Lifelong Learning
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Siadaty, Melody; Gaševic, Dragan; Hatala, Marek – Journal of Learning Analytics, 2016
To keep pace with today's rapidly growing knowledge-driven society, productive self-regulation of one's learning processes are essential. We introduce and discuss a trace-based measurement protocol to measure the effects of scaffolding interventions on self-regulated learning (SRL) processes. It guides tracing of learners' actions in a learning…
Descriptors: Metacognition, Learning Processes, Intervention, Technology Uses in Education
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Gibson, Andrew; Kitto, Kirsty; Bruza, Peter – Journal of Learning Analytics, 2016
Modern society demands renewed attention on the competencies required to best equip students for a dynamic and uncertain future. We present exploratory work based on the premise that metacognitive and reflective competencies are essential for this task. Bringing the concepts of metacognition and reflection together into a conceptual model within…
Descriptors: Metacognition, Reflection, Writing Assignments, Undergraduate Students
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Cormack, Andrew – Journal of Learning Analytics, 2016
Most studies on the use of digital student data adopt an ethical framework derived from human-subject research, based on the informed consent of the experimental subject. However, consent gives universities little guidance on using learning analytics as a routine part of educational provision: which purposes are legitimate and which analyses…
Descriptors: Data Analysis, Data Collection, Educational Research, Information Security
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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
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Milligan, Sandra; Griffin, Patrick – Journal of Learning Analytics, 2016
The paper describes empirical investigations of how participants in a MOOC learn, and the implications for MOOC design. A learner capability to generate higher order learning in MOOCs--called crowd-sourced learning (C-SL) capability--was defined from learning science literature. The capability comprised a complex yet interrelated array of…
Descriptors: Online Courses, Large Group Instruction, Thinking Skills, Learning Processes
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Sclater, Niall – Journal of Learning Analytics, 2016
Ethical and legal objections to learning analytics are barriers to development of the field, thus potentially denying students the benefits of predictive analytics and adaptive learning. Jisc, a charitable organization that champions the use of digital technologies in UK education and research, has attempted to address this with the development of…
Descriptors: Data Analysis, Information Policy, Ethics, Standard Setting
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