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EYE-TEACH

AIM2READ

Aligning AI-Assisted Multimodal Learning Analytics Dashboards with Reading Instructional Strategies

14 or 15 September 2026 · ECTEL 2026 · Valencia, Spain

About the Workshop

Reading is a complex cognitive process that traditional assessments capture only through outcomes-scores, answers, grades. Multimodal learning analytics (MMLA) and AI offer the possibility of making the invisible processes of reading visible: how learners allocate attention, navigate texts, express confusion or engagement, regulate their own comprehension, and collaborate to construct meaning. Yet a persistent challenge remains: How can these rich data streams be translated into dashboards that are not merely technically sophisticated, but pedagogically meaningful and actionable for teachers? The core problem is not one of data availability, but of pedagogical translation, moving from data and AI outputs to instructional decisions grounded in established learning theories.

This half-day interactive workshop addresses this question by combining invited talks, participant lightning presentations, a hands-on design activity, and round-table discussions. Together, participants will work toward mapping MMLA dashboard signals to instructional strategies for reading, using diverse modalities and use cases to ground the work in concrete examples while aiming to bridge AI-driven insights with pedagogical intention.

Tentative Agenda

Welcome and Introduction (10 mins)
Overview of workshop goals and agenda.
PART 1: Invited Talks and Participant Use Cases (45–60 mins)
Invited talks introduce the application of diverse MMLA modalities (eye-tracking, audio, video, physiological) in reading. Lightning talks from participants presenting their own MMLA-based AI methods, dashboards, and use cases.
Break (15 mins)
PART 2: Design Activity (45–60 mins)
  • Introduction to guiding frameworks (inspiration cards, pedagogical knowledge base models, layered data storytelling, learning analytics process model, multimodal learning analytics framework).
  • Hands-on activity and scenario-based ideation. Groups select a use case and explore the connections between MMLA signals & AI methods → dashboard outputs → teacher sensemaking → instructional strategies.
  • Group presentations and discussion.
PART 3: Round-Table Discussions (60 mins)
Following the design activity, three rotating tables will explore complementary perspectives towards building a mapping framework that grounds AI-based MMLA dashboard design in instructional strategies for reading:
  • What can MMLA and AI tell us about how learners read?
  • How to translate MMLA and AI outputs into dashboard visualizations?
  • How to connect dashboards to classroom practice?
Closing and Next Steps (20 mins)
Synthesis of key insights, discussion of opportunities for a joint publication, and next steps for collaboration and networking.

Call for Participant Use Cases

We invite use case descriptions (2–3 pages) from researchers, practitioners, developers, and designers working at the intersection of MMLA, AI, and reading instruction. Submissions should address one or more of the following points:

  • What multimodal data do you capture, and why are these pedagogically relevant?
  • What dashboard signals or AI-driven insights do you generate?
  • What instructional decision or pedagogical strategy do you hope to inform?

We explicitly welcome diverse MMLA modalities (eye-tracking, audio, video, log data, physiological sensors, motion capture), varied reading contexts (comprehension, fluency, collaborative reading, language learning, vocabulary, map reading, code reading, multimedia reading), and multiple educational settings (primary, secondary, higher education, professional learning).

Submissions should be sent to  with the subject “AIM2READ Use Case”. Submissions are not required for participation—all interested attendees are welcome. Accepted use cases will be presented as lightning talks during Part 1 of the workshop.

Examples of Use Cases and MMLA Modalities

Eye-tracking + LLMs → Reading strategy diagnosis and narrative reports for comprehension
Audio + NLP → Oral reading fluency and miscue analysis
Video + Computer Vision → Reading engagement and affect detection
Interaction Logs + Content Analysis → Digital reading preferences and personalization
Audio + Logs + NLP → Collaborative reading and collaboration patterns
Physiological Sensors → Reading anxiety and cognitive load
Gesture + Audio + Logs → Multimodal code reading in computer science education

Who Should Attend

  • MMLA researchers working with eye-tracking, audio, video, log data, physiological, or sensor data
  • Reading and literacy researchers studying comprehension, fluency, strategies, and assessment
  • Learning analytics designers and developers building dashboards for formal and informal settings
  • Educational scientists and teacher educators working on professional development, data literacy, and technology integration
  • Practitioners including teachers, reading specialists, and instructional coaches interested in AI-augmented assessment and instruction
  • HCI and human-centered-design researchers interested in participatory methods for learning technology design
Post-Workshop Publication. During the closing session, participants will discuss the possibility of a joint publication, synthesizing the mapping framework, design principles, and use cases developed during the workshop. All interested contributors will be welcome to explore potential formats, venues, and authorship.

Timeline

19 June 2026

Call for participant use cases

10 August 2026

Use case submission deadline

15 August 2026

Notification of accepted use cases

14 or 15 Sept 2026

Workshop held at ECTEL 2026, Valencia, Spain

15 October 2026

Outcomes circulated to all participants for feedback

15 November 2026

Final workshop outputs published on workshop website

List of Organisers

Konstantinos Tsiakas 
Open Universiteit, The Netherlands
Francesca Zermiani
University of Valencia, Spain
Milos Kravcik
German Research Center for Artificial Intelligence (DFKI), Germany
 
Roland Klemke
Open Universiteit, The Netherlands
Supported by EYE-TEACH

Interested in participating or submitting a use case?

Contact the workshop organizers at 

Further details, submission template, and readings will be shared via the workshop website