scholarly journals Learning Analytics: Richer Perspectives Across Stakeholders

2016 ◽  
Vol 3 (3) ◽  
pp. 1-4 ◽  
Author(s):  
Simon Knight ◽  
Shane Dawson ◽  
Dragan Gašević ◽  
Jelena Jovanović ◽  
Arnon Hershkovitz
Keyword(s):  
Hot Spots ◽  
Learning Analytics ◽  
Special Section ◽  
Practitioner Research ◽  
Editorial Team ◽  
Learning Material ◽  
Research Papers ◽  
Work Habits ◽  
Complex Interactions ◽  
Material Interaction

This issue of the Journal of Learning Analytics features seven research papers, complemented by a practitioner research paper (Dvorak & Jia). Papers by McCoy and Shih, and Knight, Brozina, and Novoselich discuss the important topic of educators working with educational data, alongside (in the latter paper) student perspectives on learning analytics. Douglas, Bermel, Alam, and Madhavan; and Waddington, Nam, Lonn, and Teasley offer empirical insight on developing a richer perspective on learning material interaction and engagement in online learning contexts (MOOCs, and LMS’ respectively). Dvorak and Jia bring a practitioner perspective to the issue in their discussion of approaches to analyzing online work habits via timeliness, regularity, and intensity. Sutherland and White, and Vieira, Goldstein, Purzer, and Magana offer focus on specific subject-based learning activities (algebra learning, and student experimentation strategies in engineering design, respectively). Finally, Howley and Rosé discuss the complex interactions of theory and method in computational modeling of group learning processes. The issue also features a special section on learning analytics tutorials, edited by Gašević and Pechenizkiy. The editorial concludes with a report of the recent ‘hot spots section’ consultation from the editorial team of the journal.

scholarly journals Ethics and Privacy as Enablers of Learning Analytics

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Dragan Gasevic ◽  
Shane Dawson ◽  
Jelena Jovanovic
Keyword(s):  
Learning Analytics ◽  
Special Section ◽  
Editorial Team ◽  
Self Regulated Learning ◽  
New Methods ◽  
Regulated Learning ◽  
The Future

This issue of the Journal of Learning Analytics features a special section on ethics and privacy that is guest edited by a team of researchers involved in the European Learning Analytics Community Exchange (LACE) project. The issue also features a paper that looks at the use of new methods for the measurement of self-regulated learning. This editorial concludes with a summary of the future changes in the editorial team of the journal.

scholarly journals Learning Analytics: Looking to the Future

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Simon Knight ◽  
Alyssa F. Wise ◽  
Xavier Ochoa ◽  
Arnon Hershkovitz
Keyword(s):  
Learning Analytics ◽  
Special Section ◽  
Research Paper ◽  
Editorial Team ◽  
The Past ◽  
Community Of Learning ◽  
The Future ◽  
Journal Editorial

This second issue of the Journal of Learning Analytics in 2017 is the first edited by the full new journal editorial team. As the baton is passed on, we would like to thank the founding editors for their work initiating the journal and nurturing its development over the past several years. We look forward to continuing that tradition of excellence. This issue includes four research paper contributions, and a special section on the ‘Shape of Educational Data’. This editorial is also an opportunity for us to reflect on the development of the journal so far, and describe some changes we are making to continue the expansion and maturation of a growing community of learning analytics researchers and practitioners.

scholarly journals Learning Analytics – A Growing Field and Community Engagement

2015 ◽  
Vol 2 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Dragan Gasevic ◽  
Shane Dawson ◽  
Negin Mirriahi ◽  
Phillip D. Long
Keyword(s):  
Learning Analytics ◽  
Special Section ◽  
Educational Data Mining ◽  
Technology Enhanced Learning ◽  
Research Papers ◽  
Learning And Teaching ◽  
Self Regulated Learning ◽  
Cyber Learning ◽  
Enhanced Learning ◽  
Important Activity

This editorial discusses events that marked the period since the publication of the previous issue – the 5th International Conference on Learning Analytics and Knowledge (LAK 2015), Learning Analytics Summer Institutes (LASIs 2015), and Learning Analytics Policy Briefing in the European Parliament. This period saw releases of two important publications for system-wide implementation of learning analytics in higher education published by Jisc and the Australian Government’s Office for Learning and Teaching. An important recognition of the maturation of the field of learning analytics is the recent publication of the 2015 Google Scholar Metrics identifying the LAK proceedings as the only conference proceedings among the 20 most cited publication venues in educational technology. Building bridges for enhancing impact is another important activity for the field maturation through developing linkages of learning analytics with educational data mining, user modeling, the learning sciences, technology enhanced learning, cyber-learning, and learning at scale. This editorial also introduces a special section published in this issue dedicated to the exploration of connections between self-regulated learning and learning analytics, introduces two regular research papers featured in this issue and describes several special sections that will be published in future issues of the journal.

scholarly journals Introduction

Transfers ◽  
2015 ◽  
Vol 5 (3) ◽  
pp. 41-48 ◽  
Author(s):  
Georgine Clarsen
Keyword(s):  
Social Sciences ◽  
Special Section ◽  
Editorial Team ◽  
Innovative Research ◽  
The Social ◽  
Research Agendas ◽  
Theoretical Developments

Transfers seeks to broaden the geographical, empirical, and theoretical reach of mobilities scholarship. Our editorial team especially aims to foster innovative research from new locales that moves our field beyond the social sciences where the “new mobilities paradigm” was first articulated. Th is journal is part of a growing intellectual project that brings together theoretical developments and research agendas in the humanities and the social sciences. Our ambition is to bring critical mobilities frameworks into closer conversation with the humanities by encouraging empirical collaborations and conceptual transfers across diverse disciplinary fields. Th e articles presented in this special section forward those aims in several ways.

scholarly journals Critical Data Studies, Abstraction & Learning Analytics

2019 ◽  
Vol 6 (3) ◽  
Author(s):  
Simon Buckingham Shum
Keyword(s):  
Social Science ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Special Section ◽  
Keynote Address ◽  
Critical Data

This editorial introduces a special section of the Journal of Learning Analytics, for which Neil Selwyn’s keynote address to LAK ’18 has been written up as an article, “What’s the problem with learning analytics?” His claims and arguments are engaged in commentaries from Alfred Essa, Rebecca Ferguson, Paul Prinsloo, and Carolyn Rosé, who provide diverse perspectives on Selwyn’s proposals and arguments, from applause to refutation. Reflecting on the debate, I note some of the tensions to be resolved for learning analytics and social science critiques to engage productively, observing that central to the debate is how we understand the role of abstraction in the analysis of data about teaching and learning, and hence the opportunities and risks this entails.  

scholarly journals Let’s Grow Together: Tutorials on Learning Analytics Methods

2016 ◽  
Vol 3 (3) ◽  
pp. 5-8 ◽  
Author(s):  
Dragan Gasevic ◽  
Mykola Pechenizkiy
Keyword(s):  
Network Analysis ◽  
Learning Analytics ◽  
Guest Editorial ◽  
Pattern Mining ◽  
Special Section ◽  
Visual Learning ◽  
Coherence Analysis ◽  
Text Coherence ◽  
Social Media Text ◽  
Visual Learning Analytics

This paper is a guest editorial into a special section that offers a collection of tutorials on methods that can be used in learning analytics. The special section is prepared as a response to the growing need of learning analytics practitioners and researchers to learn and use novel methods. In spite of this need, papers that systematically introduce some of the methods have been underrepresented in the literature. Specifically, the special section features papers that introduce epistemic network analysis, automated content and network analysis of social media, text coherence analysis with Coh-Metrix, microgenetic analysis with sequence pattern mining, and design of visual learning analytics guided by educational theory informed goals.

Guest Editorial: Special Section on Learning Analytics

2017 ◽  
Vol 10 (1) ◽  
pp. 3-5 ◽  
Author(s):  
Dragan Gasevic ◽  
George Siemens ◽  
Carolyn Penstein Rose
Keyword(s):  
Learning Analytics ◽  
Guest Editorial ◽  
Special Section

scholarly journals Widening the Field and Sparks of the Future

2015 ◽  
Vol 1 (3) ◽  
pp. 1-3
Author(s):  
Negin Mirriahi ◽  
Shane Dawson ◽  
Dragan Gasevic ◽  
Philip D. Long
Keyword(s):  
Doctoral Students ◽  
Hot Spots ◽  
Learning Analytics ◽  
Course Design ◽  
Harvard University ◽  
Summer Institute ◽  
Pedagogical Practice ◽  
Special Issue ◽  
International Learning ◽  
Broad Scale

This issue of the Journal of Learning Analytics comprises two special issue sections. The first of which presents five papers from the 4th International Learning Analytics and Knowledge conference held in Indianapolis. The second showcases the current or recent work of doctoral students who attended the 2nd Learning Analytics Summer Institute at Harvard University, Boston. The issue also includes two articles in the Hot Spots section, discussing the application of learning analytics initiatives in higher education institutions from different perspectives – broad-scale initiatives to individual course design. The breadth and diversity of the articles covered in this issue demonstrate how the discipline has matured and moved towards understanding student learning to inform pedagogical practice and curricular redesign coupled with strategies for the application and adoption of LA strategies across institutions

scholarly journals Research with Simulated Data

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Arnon Hershkovitz ◽  
Simon Knight ◽  
Jelena Jovanovic ◽  
Shane Dawson ◽  
Dragan Gasevic
Keyword(s):  
Learning Analytics ◽  
Special Section ◽  
Simulated Data ◽  
Theoretical Assumptions

This first issue of the Journal of Learning Analytics in 2017 features a special section of invited papers from the recent Learning Analytics and Knowledge conference (LAK'16). The theme of the conference, and this special section, relates to the need for Learning Analytics research to challenge our methodological and theoretical assumptions and build new interdisciplinary connections to further our thinking.

scholarly journals Volume 9 Issue 3

2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Karen Nelson ◽  
Tracy Creagh
Keyword(s):  
New Zealand ◽  
Peer Review Process ◽  
Student Assessment ◽  
Associate Professor ◽  
Editorial Team ◽  
Full Time ◽  
Research Papers ◽  
Journal Editorial ◽  
Active Research ◽  
Conference Committee

This issue is our fourth Students, Transitions, Achievement, Retention and Success (STARS) Conference special issue (July 8-11 July, Auckland, New Zealand).   As is customary, this issue of the Journal publishes the top research papers selected via a peer review process and the top Emerging Initiatives selected by the Conference Committee and Journal Editorial team.   This year STARS announced two new STARS Fellows:  Dr Linda Leach and Associate Professor Nick Zepke, who recently retired from full-time academic life at Massey University, New Zealand.  Their scholarly contributions to higher education and their prolific work on student assessment, success and retention and student engagement represents a lifetime of active research and publishing and their vast body of work has contributed greatly to our understandings of the student experience.   We are extremely pleased to publish their article A critical reflection on a research partnership as the Invited Feature in this issue.

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