Programme

Thursday 7th

09:00–09:15Registration
09:15–09:30Opening
09:30–10:30Papers Session I
10:30–11:00Coffee break
11:00–12:00Papers Session II
12:00–13:15Keynote I (Kshitij Sharma)
15:30–17:00Doctoral Consortium
17:00–17:30Break
17:30–18:30SNOLA executive meeting
19:15–20:30Social events (visit)
21:30–??:??Social events (Gala dinner)

Friday 8th

09:30–10:00Projects showcase
10:00–11:00Workshop QUALAS
11:00–11:30Coffee break
11:30–12:30Papers Session III
12:30–13:45Keynote II (Xavier Ochoa)
13:45–14:00Closure

Sessions detail

  • Papers Session I:
    • AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
    • From Interaction Categories to Temporal Learning Processes: A Work-in-Progress Proposal for Learning Analytics in LMS
    • LMS-Based Early Warning in an AI-Permissive Software Engineering Course
  • Papers Session II:
    • AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations
    • Toward Inclusive Learning Analytics: A Multi-Profile Approach
    • When Practice Meets Theory: from trace and self-reported data to self-regulated learning model
  • Papers Session III
    • Lightweight Institutional Analytics: A Construct-Oriented Workflow for Course-Level LMS Indicators
    • Analysis of bias in student modelling and prediction using learning analytics on edX MOOC data
    • Early Prediction of Academic Performance in a Database Course Using Moodle Interaction Logs
  • Doctoral Consortium:
    • Enhancing Student Learning in Online and Face-to-Face Contexts using Multimodal Learning Analytics and Artificial Intelligence
    • Integrating Variability Models and Ontologies for LLM-Based Multi-Agent Systems in Academic Domains
    • Leveraging Generative AI Conversational Agents to Humanize Self-Regulated Learning
    • Support for the orchestration of agile teaching-learning processes through Learning Analytics and Generative Artificial Intelligence
  • Projects and Initiatives Forum (Projects showcase):
    • ISILA Project: Improving the quality and sustainability of learning using early intervention methods based on learning analytics
    • PALABRIA Project: Supporting Students to Improve their Writing Skills with Generative AI and Learning Analytics
    • QUALAS: Quality Assurance with Learning Analytics in Schools