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Vol. 6 No. 3 (2019): Invited Dialogue: "What's the Problem with Learning Analytics?" (Selwyn, 2019)
Vol. 6 No. 3 (2019): Invited Dialogue: "What's the Problem with Learning Analytics?" (Selwyn, 2019)
Published:
2019-12-14
Editorial
Fostering An Impactful Field of Learning Analytics
Simon Knight, Alyssa Wise, Xavier Ochoa
1–4
PDF
Invited Dialogue: "What's the Problem with Learning Analytics?" (Selwyn, 2019)
Critical Data Studies, Abstraction & Learning Analytics
Editorial to Selwyn’s LAK keynote and invited commentaries
Simon Buckingham Shum
5–10
PDF
What’s the Problem with Learning Analytics?
Neil Selwyn
11–19
PDF
Commentary on Neil Selwyn’s LAK18 Keynote Address
Paul Prinsloo
20–24
PDF
Ethical Challenges for Learning Analytics
Rebecca Ferguson
25–30
PDF
Monolith, Multiplicity or Multivocality: What do we stand for and where do we go from here?
Carolyn Penstein Rose
31–34
PDF
Is Data Dark? Lessons from Borges’s “Funes the Memorius”
Alfred Essa
35–42
PDF
Research Papers
Moving Forward with Learning Analytics: Expert Views
Rebecca Ferguson, Doug Clow, Dai Griffiths, Andrew Brasher
43–59
PDF
Knowledge Building Analytics to Explore Crossing Disciplinary and Grade-Level Boundaries
Ahmad Khanlari, Gaoxia Zhu, Marlene Scardamalia
60–75
PDF
Modelling and Using Response Times in Online Courses
Ilia Rushkin, Isaac Chuang, Dustin Tingley
76–89
PDF
Detecting Academic Misconduct Using Learning Analytics
Kelly Trezise, Tracii Ryan, Paula de Barba, Gregor Kennedy
90–104
PDF
Data and Tools Reports
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities
Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams
91–105
PDF
Curricular Concept Maps as Structured Learning Diaries: Collecting Data on Self-Regulated Learning and Conceptual Thinking for Learning Analytics Applications
Ville Kivimäki, Joonas Pesonen, Jani Romanoff, Heikki Remes, Petri Ihantola
106–121
PDF
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