Browsing NTNU Open by Author "Papamitsiou, Zacharoula"
Now showing items 1-20 of 27
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Adaptive and Gamified Learning Technologies to Support Motivation and Engagement
Erlingsen, Alexander Gunnar (Master thesis, 2021)Spillifisering har blitt et stadig mer populært konsept det siste tiåret. Spillifisering innebærer tilpasning av mekanismer og elementer som vanligvis finnes i spill, for eksempel poeng, resultattavler og «badges» for å ... -
Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach
Sharma, Kshitij; Papamitsiou, Zacharoula; Giannakos, Michail (Journal article; Peer reviewed, 2019)Students' on‐task engagement during adaptive learning activities has a significant effect on their performance, and at the same time, how these activities influence students' behavior is reflected in their effort exertion. ... -
Computing Education Research Landscape through an Analysis of Keywords
Papamitsiou, Zacharoula; Giannakos, Michail; Simon, -; Luxton-Reilly, Andrew (Chapter, 2020)Authors of academic papers are generally required to nominate several keywords that characterize the paper, but are rarely offered guidance on how to select those keywords. We analyzed the keywords in the past 15 years of ... -
Educational Data Analytics for Teachers and School Leaders
Mougiakou, Sofia; Vinatsella, Dimitra; Sampson, Demetrios; Papamitsiou, Zacharoula; Giannakos, Michail; Ifenthaler, Dirk (Book, 2023)Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more ... -
Educational Data Literacy
Sampson, Demetrios; Papamitsiou, Zacharoula; Ifenthaler, Dirk; Giannakos, Michail; Mougiakou, Sofia; Vinatsella, Dimitra (Book, 2022)Digital Education is recognised as a key transformative innovation for K-12 school and university teaching and learning, as well as, for professional development and vocational training. As a result, blended and online ... -
Efforts in Europe for Data-Driven Improvement of Education–A Review of Learning Analytics Research in Six Countries
Nouri, Jalal; Ebner, Martin; Ifenthaler, Dirk; Sqr, Mohammed; Malmberg, Jonna; Khalil, Mohammad; Bruun, Jesper; Viberg, Olga; González, Miguel Ángel Conde; Papamitsiou, Zacharoula; Berthelsen, Ulf Dalvad (Journal article; Peer reviewed, 2019)Information and communication technologies are increasingly mediating learning and teaching practices as well as how educational institutions are handling their administrative work. As such, students and teachers are leaving ... -
The Evidence of Impact and Ethical Considerations of Multimodal Learning Analytics: A Systematic Literature Review
Alwahaby, Haifa; Cukurova, Mutlu; Papamitsiou, Zacharoula; Giannakos, Michail (Chapter, 2022)There is a growing interest in the research and use of multimodal data in learning analytics. This paper presents a systematic literature review of multimodal learning analytics (MMLA) research to assess (i) the available ... -
Explaining learning performance using response-time, self-regulation and satisfaction from content: an fsQCA approach
Papamitsiou, Zacharoula; Economides, Anastasios; Pappas, Ilias; Giannakos, Michail (Chapter, 2018)This study focuses on compiling students' response-time allocated to answer correctly or wrongly, their self-regulation, as well as their satisfaction from content, in order to explain high or medium/low learning performance. ... -
Fostering Learners’ Performance with On-demand Metacognitive Feedback
Papamitsiou, Zacharoula; Economides, Anastasios; Giannakos, Michail (Journal article; Peer reviewed, 2019)Activating learners’ deeper thinking mechanisms and reflective judgement (i.e., metacognition) improves learning performance. This study exploits visual analytics to promote metacognition and delivers task-related ... -
Frameworks for Responsible Generative AI Adoption and Governance: From Promise to Practice
Kongsten, Julie Victoria; Kathirgamadas, Simen (Master thesis, 2024)Generativ kunstig intelligens (Generativ AI eller GenAI) har fått stor oppmerksomhet de siste to årene, og teknologien har potensial til å øke produktiviteten og effektiviteten i organisasjoner betydelig. Imidlertid har ... -
Frameworks for Responsible Generative AI Adoption and Governance: From Promise to Practice
Kongsten, Julie Victoria; Kathirgamadas, Simen (Master thesis, 2024)Generativ kunstig intelligens (Generativ AI eller GenAI) har fått stor oppmerksomhet de siste to årene, og teknologien har potensial til å øke produktiviteten og effektiviteten i organisasjoner betydelig. Imidlertid har ... -
From childhood to maturity: Are we there yet? Mapping the intellectual progress in learning analytics during the past decade
Papamitsiou, Zacharoula; Giannakos, Michail; Ochoa, Xavier (Chapter, 2020)This study aims to identify the conceptual structure and the thematic progress in Learning Analytics (evolution) and to elaborate on backbone/emerging topics in the field (maturity) from 2011 to September 2019. To address ... -
Games for Artificial Intelligence and Machine Learning Education: Review and Perspectives
Giannakos, Michail; Voulgari, Iro; Papavlasopoulou, Sofia; Papamitsiou, Zacharoula; Yannakakis, Georgios (Peer reviewed; Journal article, 2020)Digital games have gained significance as a new paradigm in education. Digital games are accessible and affordable to anyone and provide opportunities for at-scale teaching and learning. In recent years, there has been ... -
The impact of on‐demand metacognitive help on effortful behaviour: A longitudinal study using task‐related visual analytics
Papamitsiou, Zacharoula; Economides, Anastasios (Peer reviewed; Journal article, 2020)This longitudinal study investigates the differences in learners' effortful behaviour over time due to receiving metacognitive help—in the form of on‐demand task‐related visual analytics. Specifically, learners' interactions ... -
Investigating the effects of visualizations in teacher dashboards for adaptive self-assessment systems
Bø, Edvard Mattias (Master thesis, 2022)SmartU er et adaptivt selvevalueringssystem som er laget for å hjelpe studenter å lære samtidig som det er motiverende og engasjerende. Denne oppgaven beskriver hvordan et dashbord for lærere ble utviklet og testet i dette ... -
Mapping child–computer interaction research through co-word analysis
Giannakos, Michail; Papamitsiou, Zacharoula; Markopoulos, Panos; Read, Janet; Hourcade, Juan Pablo (Peer reviewed; Journal article, 2020)This paper employs hierarchical clustering, strategic diagrams, and network analysis to construct an intellectual map of the Child–Computer Interaction research field (CCI) and to visualize the thematic landscape of this ... -
On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?
Papamitsiou, Zacharoula; Sharma, Kshitij; Giannakos, Michail (Chapter, 2020)Popular approaches in learner modeling explore response-time as observational data supplemental to response correctness, to enrich the predictive models of learner knowledge. It has been argued that the relationship between ... -
Predicting learners' effortful behaviour in adaptive assessment using multimodal data
Sharma, Kshitij; Papamitsiou, Zacharoula; Olsen, Jennifer K.; Giannakos, Michail (Chapter, 2020)Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they ... -
Responsible AI for Digital Health: a Synthesis and a Research Agenda
Trocin, Cristina; Mikalef, Patrick; Papamitsiou, Zacharoula; Conboy, Kieran (Journal article; Peer reviewed, 2021)Responsible AI is concerned with the design, implementation and use of ethical, transparent, and accountable AI technology in order to reduce biases, promote fairness, equality, and to help facilitate interpretability and ... -
SmartU: Investigating the effects of visualizations in adaptive self- assessment systems
Westermoen, Jakob; Lunde, Martin (Master thesis, 2020)Det økte fokuset på digitalisering av læring de siste årene har åpnet nye dører for hvordan man tenker om læring på digitale flater. Dashbord for læringsanalyse (Learning Analytics Dashboards, LADs) er et av områdene som ...