Zacharoula K. Papamitsiou

Kieran Conboy

Inf. Syst. Frontiers, December, 2023

2021

Towards an educational data literacy framework: enhancing the profiles of instructional designers and e-tutors of online and blended courses with new competences.

[BibT_eX]

[DOI]

Michail E. Filippakis

Smart Learn. Environ., 2021

The impact of on-demand metacognitive help on effortful behaviour: A longitudinal study using task-related visual analytics.

[BibT_eX]

[DOI]

J. Comput. Assist. Learn., 2021

2020

Utilizing Multimodal Data Through fsQCA to Explain Engagement in Adaptive Learning.

[BibT_eX]

[DOI]

Ilias O. Pappas

IEEE Trans. Learn. Technol., 2020

Motivating Students in Collaborative Activities With Game-Theoretic Group Recommendations.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2020

Mapping child-computer interaction research through co-word analysis.

[BibT_eX]

[DOI]

Panos Markopoulos

Janet C. Read

Juan Pablo Hourcade

Int. J. Child Comput. Interact., 2020

On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?

[BibT_eX]

[DOI]

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Predicting learners' effortful behaviour in adaptive assessment using multimodal data.

[BibT_eX]

[DOI]

Jennifer K. Olsen

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

From childhood to maturity: Are we there yet? Mapping the intellectual progress in learning analytics during the past decade.

[BibT_eX]

[DOI]

Xavier Ochoa

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Towards Obtaining Facial Proxies for Gaze behaviour in TEL.

[BibT_eX]

[DOI]

Shitanshu Mishra

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Computing Education Research Landscape through an Analysis of Keywords.

[BibT_eX]

[DOI]

Simon

Andrew Luxton-Reilly

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Mapping the Intellectual Progress in e-Business, e-Services and e-Society from 2001 to 2019.

[BibT_eX]

[DOI]

Miguel Ángel Conde González

Patrick Mikalef

Proceedings of the Responsible Design, Implementation and Use of Information and Communication Technology, 2020

2019

Efforts in Europe for Data-Driven Improvement of Education - A Review of Learning Analytics Research in Seven Countries.

[BibT_eX]

[DOI]

Ulf Dalvad Berthelsen

Int. J. Learn. Anal. Artif. Intell. Educ., 2019

Building pipelines for educational data using AI and multimodal analytics: A "grey-box" approach.

[BibT_eX]

[DOI]

Br. J. Educ. Technol., 2019

Exploring autonomous learning capacity from a self-regulated learning perspective using learning analytics.

[BibT_eX]

[DOI]

Br. J. Educ. Technol., 2019

Modelling Learners' Behaviour: A Novel Approach Using GARCH with Multimodal Data.

[BibT_eX]

[DOI]

Proceedings of the Transforming Learning with Meaningful Technologies, 2019

Fostering Learners' Performance with On-demand Metacognitive Feedback.

[BibT_eX]

[DOI]

Proceedings of the Transforming Learning with Meaningful Technologies, 2019

2018

Supporting learners' capacity for autonomous decisions using learning analytics

[BibT_eX]

[DOI]

PhD thesis, 2018

Explaining learning performance using response-time, self-regulation and satisfaction from content: an fsQCA approach.

[BibT_eX]

[DOI]

Ilias O. Pappas

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Can't get more satisfaction?: game-theoretic group-recommendation of educational resources.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Recommendation of educational resources to groups: A game-theoretic approach.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018

2017

Exhibiting achievement behavior during computer-based testing: What temporal trace data and personality traits tell us?

[BibT_eX]

[DOI]

Comput. Hum. Behav., 2017

Student Modeling in Real-Time during Self-Assessment Using Stream Mining Techniques.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies, 2017

2016

Applying classification techniques on temporal trace data for shaping student behavior models.

[BibT_eX]

[DOI]

Eirini D. Karapistoli

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Process Mining of Interactions During Computer-Based Testing for Detecting and Modelling Guessing Behavior.

[BibT_eX]

[DOI]

Proceedings of the Learning and Collaboration Technologies, 2016

2015

A temporal estimation of students' on-task mental effort and its effect on students' performance during computer based testing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Interactive Collaborative Learning, 2015

2014

Temporal Learning Analytics for Adaptive Assessment.

[BibT_eX]

[DOI]

J. Learn. Anal., November, 2014

Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence.

[BibT_eX]

[DOI]

J. Educ. Technol. Soc., 2014

Temporal learning analytics for computer based testing.

[BibT_eX]

[DOI]

Vasileios Terzis

Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

The Effect of Personality Traits on Students' Performance during Computer-Based Testing: A Study of the Big Five Inventory with Temporal Learning Analytics.

[BibT_eX]

[DOI]