activity
20232026
most citedModeling Digital Twin Data and Architecture: A Building Guide with FIWARE as Enabling Technology

81 citations · 105 across the 15 of their papers we have counts for

collaborators

16 papers

cs.CY2026

The GenAI Skill Bypass: Mapping Divergent Pathways of University Students and Staff AI Literacy

Eduardo Oliveira, Narelle English, Tracii Ryan +4

Higher education institutions are increasingly expected to ensure that both students and staff develop Generative AI (GenAI) literacies. In response, they are introducing professio…

cs.AI2026

Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming

Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles López-Pernas +3

Generative AI is reshaping higher education programming through vibe coding, where students collaborate with AI via natural language rather than writing code line-by-line. We conce…

cs.SE2026

AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report

Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam +2

Code review is central to software engineering education but hard to scale in capstone projects due to tight deadlines, uneven peer feedback, and limited prior experience. We inves…

cs.CY2026

Early Warning Signals Appear Long Before Dropping Out: An Idiographic Approach Grounded in Complex Dynamic Systems Theory

Mohammed Saqr, Sonsoles López-Pernas, Santtu Tikka +1

The ability to sustain engagement and recover from setbacks (i.e., resilience) -- is fundamental for learning. When resilience weakens, students are at risk of disengagement and ma…

cs.HC2025

Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?

Mohammed Saqr, Kamila Misiejuk, Sonsoles López-Pernas

While research on human-AI collaboration exists, it mainly examined language learning and used traditional counting methods with little attention to evolution and dynamics of colla…

cs.AI2025★ 5 cited

Delving Into the Psychology of Machines: Exploring the Structure of Self-Regulated Learning via LLM-Generated Survey Responses

Leonie V. D. E. Vogelsmeier, Eduardo Oliveira, Kamila Misiejuk +2

Large language models (LLMs) offer the potential to simulate human-like responses and behaviors, creating new opportunities for psychological science. In the context of self-regula…

cs.CL2025★ 2 cited

Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence

Eduardo Araujo Oliveira, Madhavi Mohoni, Sonsoles López-Pernas +1

As human-AI collaboration becomes increasingly prevalent in educational contexts, understanding and measuring the extent and nature of such interactions pose significant challenges…

cs.CY2025★ 2 cited

Complex Dynamic Systems in Education: Beyond the Static, the Linear and the Causal Reductionism

Mohammed Saqr, Daryn Dever, Sonsoles López-Pernas +3

Traditional methods in educational research often fail to capture the complex and evolving nature of learning processes. This chapter examines the use of complex systems theory in…

cs.CY2025★ 2 cited

Classroom Activities and New Classroom Apps for Enhancing Children's Understanding of Social Media Mechanisms

Henriikka Vartiainen, Nicolas Pope, Juho Kahila +2

Young people are increasingly exposed to adverse effects of data-driven profiling, recommending, and manipulation on social media platforms, most of them without adequate understan…

cs.CY2024

An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending

Nicolas Pope, Juho Kahila, Henriikka Vartiainen +5

This paper, submitted to the special track on resources for teaching AI in K-12, presents an explainable AI (XAI) education tool designed for K-12 classrooms, particularly for stud…

cs.SI2024★ 3 cited

Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes

Mohammed Saqr, Sonsoles López-Pernas, Tiina Törmänen +3

This paper presents a novel learning analytics method: Transition Network Analysis (TNA), a method that integrates Stochastic Process Mining and probabilistic graph representation…

cs.CY2024★ 5 cited

Empowering Database Learning Through Remote Educational Escape Rooms

Enrique Barra, Sonsoles López-Pernas, Aldo Gordillo +3

Learning about databases is indispensable for individuals studying software engineering or computer science or those involved in the IT industry. We analyzed a remote educational e…

cs.HC2023★ 1 cited

Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students' Achievement, Motivation, Participation and Attitude

Rogers Kaliisa, Kamila Misiejuk, Sonsoles López-Pernas +2

While learning analytics dashboards (LADs) are the most common form of LA intervention, there is limited evidence regarding their impact on students learning outcomes. This systema…

cs.CY2023★ 81 cited

Modeling Digital Twin Data and Architecture: A Building Guide with FIWARE as Enabling Technology

Javier Conde, Andrés Munoz-Arcentales, Álvaro Alonso +2

The use of Digital Twins in the industry has become a growing trend in recent years, allowing to improve the lifecycle of any process by taking advantage of the relationship betwee…

stat.ME2023

A modern approach to transition analysis and process mining with Markov models: A tutorial with R

Jouni Helske, Satu Helske, Mohammed Saqr +2

This chapter presents an introduction to Markovian modeling for the analysis of sequence data. Contrary to the deterministic approach seen in the previous sequence analysis chapter…

stat.ME2023★ 4 cited

An introduction and tutorial to model-based clustering in education via Gaussian mixture modelling

Luca Scrucca, Mohammed Saqr, Sonsoles López-Pernas +1

Heterogeneity has been a hot topic in recent educational literature. Several calls have been voiced to adopt methods that capture different patterns or subgroups within students be…