Slide from presentation reading The Generalized Competency Model Mean (SD) Facet Description Construction of Shared Knowledge Establishing shared understanding amongst teammates • 14 (.14) Negotiation/ Coordination Maintaining Team Function Develop, execute, and revise a solution Proactively contribute to positive group environment • 18 (.09) •15 (.11)

Angela Stewart from University of Pittsburgh shares a useful theoretical framework for evaluating leaners’ collaborative problem solving skills at today’s #LAK25 session

Photo of a large conference room with tables of attendees watching speakers present on stage

Great insights into interaction types and multimodal data types available for incorporation into #LearningAnalytics dashboards at today’s #LAK25 sessions

Birte Heinemann from @rwth.bsky.social showing us a wonderfully rich #VirutalReality application "Teach-R" developed to help trainee teachers develop classroom management techniques #LAK25

Reminds me of a similar project from @pt-phone-home.bsky.social in @dcuioe.bsky.social!

Tao Lei stands at a lectern with a slide behind reading 3.2 What are the data types and data analysis techniques used in the reviewed studies? Common Data Types Used: • Behavioural Data (7 studies) → Interaction logs, user activity tracking. • Physiological Data (1 study) → EEG, heart rate (HR), electrodermal activity (EDA). • Eye-tracking Data (3 studies) → Gaze fixation, pupil dilation. • Spatial Data (1 study) → Head movement, hand tracking. • Self-reported Data (2 studies) → Questionnaires, self-assessments. • Video & Speech Data (2 studies) → Recorded interactions & sentiment analysis. • VR-Specific Interaction Data (3 studies) → Motion tracking, object manipulation.

Common data types and data analysis techniques uses in #VirtualReality #LearningAnalytics shared by Tao Lei at today's #LAK25 workshop

Tao Lei stands at a lectern with slide behind reading 1.2 Immersive VR in LA • Immersive Virtual Reality (IVR) refers to fully immersive virtual environments where learners interact using head-mounted displays (HMDs), motion controllers, and sometimes haptic feedback. • IVR enables real-time tracking (e.g., eye-tracking, physiological sensors, motion tracking) to analyze behavioral, affective, and cognitive learning dimensions (Shadiev & Li, 2023). • Ability to simulate real-world scenarios for practical learning (Allcoat et al., 2021) • Support for educational activities that are risky or difficult to perform in real life.

Tao Lei from Education University of Hong Kong presents a concise overview of what immersive #VirtualReality in #LearningAnalytics looks like #LAK25

WHAT WE HAVE DONE THIS YEAR 23/24 III: AI IN THE EXAM PART 2: what do we do with AI? – Linda Castañeda

thinking a lot on my students use of AI from last year www.lindacastaneda.com/en/mushware/... #lak25

Aytaj stands at lectern with slide behind reading Solution? smartphone-based headsets or Google Cardboard are budget-friendly solutions that allow schools to provide immersive VR experiences without large upfront costs. Low-Cost VR Solutions Affordable VR options for schools. Collaborative Resource Sharing Institutions pooling resources to cut costs. Open Educational Resources Free VR content for broader access. Schools and educational institutions can pool their resources, such as VR equipment and software, to reduce individual costs. OER can include free VR experiences, environments, or lesson plans that schools and educators can use without needing to purchase expensive software or licenses.

Good to see #OpenEducationalResources listed as a potential solution to #VirtualReality financial challenges #OER #LAK25

Aytaj stands at lectern with slide behind reading Why scaling VR classrooms still remains as a challenge: - Scaling VR environments require more than simply expanding VR access and it involves addressing a wide range of complex barriers that impact the practical implementation of VR on a larger scale. - One of the primary requirements for scaling VR classrooms is the development of effective learning analytics systems that can track and evaluate student progress in immersive settings. - However, the current state of learning analytics within VR faces various technical and practical challenges, including processing the extensive data generated by VR applications - These technical demands can lead to accessibility issues, especially for institutions with limited resources, such as smaller schools or those in underfunded regions.

Many challenges to face in scaling #VirtualReality classrooms including financial and technological says Aytaj Ismayilzada from @uniofjyvaskyla.bsky.social at today’s #LAK25 workshop

Miriam at a lectern with a slide behind reading A Responsible Al Framework for LA in HE Goal: Based on a decade of experience researching and developing Learning Analytics for HE, our goal is to create an operational responsible Al framework for Learning Analytics in Higher Education, offering guidance and best practices to empower universities to design, develop, and implement Al-based LA systems while fostering fairness and inclusivity. Socio-technical lens SoA review Algorithmic bias investigation Human decision analysis Transparency and student empowerment Guidelines and regulatory compliance

A much needed framework from Miriam Fernandez @openuniversity.bsky.social around the responsible use of #ArtificialIntelligence in #LearningAnalytics presented at #LAK25

Rogers and Ioana stand in front of a slide reading Learning analytics dashboard design Informative Does the feedback contain valuable information for the user Understandable Does the delivery method allow easy understanding and sense-making? Actionable Does the feedback allow users to take action and change behaviour?

Rogers Kaliisa and Ioana Jivet share what #LearningAnalytics dashboards should be: informative, understandable, actionable #LAK25

Esther stands at a lectern with a slide behind reading Evidence of success Institutional policies Senior management support Capacity building Participatory co-design

What does success look like in #LearningAnalytics adoption? Great reminders from Esther Ventura-Medina, Eindhoven University of Technology at the #LAK25 workshop today on dashboards

2025 SoLAR Executive Committee Nominees - Society for Learning Analytics Research (SoLAR) Current SoLAR Executive Committee for 2025 President - Bart Rienties, The Open University, UK Vice President: Blaženka Divjak, University of Zagreb, Croatia Treasurer: Abhinava Barthakur, University o...

Excited to be nominated as a candidate for for the 2025 SoLAR Executive Commitee!

If you’re a member of the Society for Learning Analytics Research, please consider voting for me.

Voting ends December 20 at 11:59pm Eastern.

#LearningAnalytics #lak25 #SoLAR

www.solaresearch.org/2024/12/2025...

With the deadline fast approaching, we're tag-team working on a #LAK25 paper. As I stop work in the UK, co-authors restart in Australia.

General Call - Society for Learning Analytics Research (SoLAR) The 2025 edition of The International Conference on Learning Analytics & Knowledge (LAK25) will take place in-person in Dublin, Ireland. LAK25 is organized by the Society for Learning Analytics Research (SoLAR) with Technological University Dublin (TU Dublin). LAK25 is a collaborative effort by researchers and practitioners to share the most rigorous cutting edge work inContinue reading →

ICYMI - #LAK25 CFP - www.solaresearch.org...