📢 The workshop is planned to be a half-day, face-to-face event on Tuesday, March 19, 2024, from 9 AM to 12:30 PM. This workshop will take the format of an interactive workshop using initial short presentations to lay the groundwork and focused engaging discussions.
9:00 - 9:30 Welcome and Introductory Framing - “What Do We Mean By Actionability in Learning Analytics?”
Short Presentations* (Changes expected; Papers will be attached soon) + Group Activity
9:30 - 10:40
Presentations
Anouschka van Leeuwen, Sebastian Strauss, & Nikol Rummel - “Teacher Interaction with Learning Analytics Tools - Investigating Cue Use, Algorithm Aversion, and Computation Bias”
Reet Kasepalu - “From Awareness to Actions: Designing a Model-Based LA Dashboard for Teaching Problem Solving Skills in Physics”
Chathura K. Sooriya-Arachchi - “Facilitating Data-driven Decision-making in Learning Design based on Learning Analytics: A Toolkit Experiment”
Hong Shui - “Tackling the Alignment Problem: The Design of a Learning Analytics Dashboard for Teacher Inquiry”
Group Work Specifying Key Concepts of Actionability from a Teacher Orchestration Perspective
Sharing Conceptualization and Implications
10:40 - 10:50
10:50 - 12:00
Presentations
Fatemeh Salehian Kia, Jennifer Love, & Stephanie D. Teasley - “Making Learning Analytics Actionable and Scalable for Students”
Ji Hyun Yu - “Temporal Insights for Action: Designing with Dynamic Engagement Analytics”
Yeonji Jung & Alyssa Wise - “Co-Designing Actionable Learning Analytics: Role of Routines and Timing”
Luis P. Prieto, Yannis Dimitriadis, & María Jesús Rodríguez-Triana - “A Different Kind of Actionability: Insights from Designing Single-case Learning Analytics for Doctoral Education”
Group Work Specifying Key Concepts of Actionability from Self-Regulated Learning & Learning Design Perspectives
12:00 - 12:20 Synthesis of Conceptualization/Implications from Different Perspectives
12:20 - 12:30 Discussions on Next Steps
Preparatory activity: Participants are encouraged to review the relevant materials and the accepted papers shared by the organizers prior to the workshop to obtain relevant background knowledge.
Short introductory presentation by the organizers about the workshop theme and goals, and overall (implicit/unclear) definitions of actionability with respect to related areas of research in the field such as human-centered learning analytics and teacher orchestration.
Introductory presentation by the organizers, sharing the concept of actionability in learning analytics from different stakeholders' perspectives based on the literature synthesis: (1) technical aspect (for technology designers and developers), (2) information presentation (for designers), (3) self-regulated learning (for learners), (4) classroom orchestration (for teachers). This set of perspectives will be used as a starting point for discussing the concept of actionability.
Brief talks presented by the accepted paper presenters about their research experiences related to any of the perspectives on actionability.
Group work for specifying conceptualization and producing implications: Each round will start by asking participants to collaborate on a shared whiteboard to refine the concept of actionability from each of the perspectives. They will also identify key considerations, issues, and contributing factors for each perspective, incorporating them into specifications. Then, participants will brainstorm how each of the perspectives can be used to inform: (a) the creation of learning analytics tools, (b) learning designs that incorporate such tools, and (c) measurement of learning analytics impacts. During this activity, participants will be provided with 1-2 concrete examples of learning scenarios that they can relate to.
Sharing conceptualization and implications across groups: Once the group work is done, the organizers will ask participants to look at the synthesized work from the prior steps across the perspectives. All attendees can engage in a discussion to integrate and/or identify points of synergy and tension between the perspectives.
The workshop will conclude with a return to the first part. Participants will be invited to collectively brainstorm potential research directions and/or practical steps based on their workshop participation. They will be asked to fill out their contact information, research agenda, and willingness for potential collaboration in a co-working document that others can view and edit together.