Publicaciones en las que colabora con PARASKEVI TOPALI (10)

2023

  1. Delving into instructor-led feedback interventions informed by learning analytics in massive open online courses

    Journal of Computer Assisted Learning, Vol. 39, Núm. 4, pp. 1039-1060

  2. UNLOCK THE FEEDBACK POTENTIAL: Scaling Effective Teacher-Led Interventions in Massive Educational Contexts

    Innovating Assessment and Feedback Design in Teacher Education: Transforming Practice (Taylor and Francis), pp. 1-19

2022

  1. Supporting instructors in the design of actionable feedback for MOOCs

    IEEE Global Engineering Education Conference, EDUCON

  2. e-FeeD4Mi: Automating Tailored LA-Informed Feedback in Virtual Learning Environments

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021

  1. Identifying Learner Problems Framed within MOOC Learning Designs

    29th International Conference on Computers in Education Conference Proceedings (ICCE 2021), VOL I

2020

  1. Design of conversational agents for cscl: Comparing two types of agent intervention strategies in a university classroom

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. A data value chain to model the processing of multimodal evidence in authentic learning scenarios

    CEUR Workshop Proceedings

  2. A data value chain to model the processing of multimodal evidence in authentic learning scenarios

    Learning Analytics Summer Institute Spain 2019: Learning Analytics in Higher Education Vigo, Spain, June 27-28, 2019. (CEUR Workshop Proceedings), pp. 71-83

  3. Exploring the problems experienced by learners in a MOOC implementing active learning pedagogies

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. “Error 404- Struggling Learners Not Found” Exploring the Behavior of MOOC Learners

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)