Miguel Á Conde
Biographic Data
| ID | 9476155 |
|---|---|
| NAME | Miguel Á Conde |
| GIVEN NAMES | Miguel Á |
| FAMILY NAME | Conde |
| SIGNATURE | CONDÉ M A |
| AFFILIATIONS | Universidad de León |
| ORCID | 0000-0001-5881-7775 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Expanding the lens: Multi-institutional evidence on student use of ChatGPT in higher education
This study investigates how university students engage with generative artificial intelligence (GenAI), specifically ChatGPT, when completing knowledge-based academic tasks across six courses and two institutions. By comparing performance and perceptions in engineering and non-engineering subjects, the study examines whether students can use GenAI effectively without prior training and to what extent such tools meaningfully support learning. The …
Decoding a decade. Trends and evolution in learning analytics: A comprehensive synthesis
This article concludes the special issue “Learning Analytics 10 Years After: A Retrospective and Research Agenda” with a summary of the contributed studies. To assess their representativeness of the last decade’s learning analytics research, a literature analysis was performed based on topic extraction. Following PRISMA guidelines, 3,897 journal articles and conference papers in Learning Analytics were analyzed with Latent Dirichlet Allocation wi…
Three shades of self‐regulation with unique complex dynamics, drivers and targets for intervention
Self‐regulated learning (SRL) is an active process involving multiple interacting components that evolve over time, exhibiting characteristics of complex systems such as non‐linearity, emergent behaviour, self‐organization, and hierarchy. These interactions unfold at different temporal levels, each warranting a dedicated lens to capture their distinct dynamics. In this study, we apply a complex dynamic systems lens to analyse the longitudinal dyn…
Machine vision-based recognition of safety signs in work environments
The field of image recognition is extensively researched, with applications addressing numerous challenges posed by the scientific community. Notably among these challenges are those related to individual safety. This article presents a system designed for the application of image recognition in the realm of Occupational Risk Prevention—a concern of paramount importance due to the imperative of preventing workplace accidents as falls, collisions,…
Is learning analytics applicable and applied to education of students with intellectual/developmental disabilities? A systematic literature review
Our contemporary society demands highly qualified professionals in all sectors, and education serves as the keystone for achieving this goal. While educational institutions are diligently preparing their students to thrive in this context, emphasizing inclusivity across all demographics is crucial. An essential group in this regard comprises students with Intellectual and Developmental Disabilities (IDDs), who require tailored tasks, content, and…
Analysing the Computational Competences Acquired by K-12 Students When Lectured by Robotic and Human Teachers: Can a Robot Teach Computational Principles to Pre-university Students
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Analysing the Computational Competences Acquired by K-12 Students When Lectured by Robotic and Human Teachers: Can a Robot Teach Computational Principles to Pre-university Students
Machine vision-based recognition of safety signs in work environments
The field of image recognition is extensively researched, with applications addressing numerous challenges posed by the scientific community. Notably among these challenges are those related to individual safety. This article presents a system designed for the application of image recognition in the realm of Occupational Risk Prevention—a concern of paramount importance due to the imperative of preventing workplace accidents as falls, collisions,…
Is learning analytics applicable and applied to education of students with intellectual/developmental disabilities? A systematic literature review
Our contemporary society demands highly qualified professionals in all sectors, and education serves as the keystone for achieving this goal. While educational institutions are diligently preparing their students to thrive in this context, emphasizing inclusivity across all demographics is crucial. An essential group in this regard comprises students with Intellectual and Developmental Disabilities (IDDs), who require tailored tasks, content, and…
Decoding a decade. Trends and evolution in learning analytics: A comprehensive synthesis
This article concludes the special issue “Learning Analytics 10 Years After: A Retrospective and Research Agenda” with a summary of the contributed studies. To assess their representativeness of the last decade’s learning analytics research, a literature analysis was performed based on topic extraction. Following PRISMA guidelines, 3,897 journal articles and conference papers in Learning Analytics were analyzed with Latent Dirichlet Allocation wi…
Three shades of self‐regulation with unique complex dynamics, drivers and targets for intervention
Self‐regulated learning (SRL) is an active process involving multiple interacting components that evolve over time, exhibiting characteristics of complex systems such as non‐linearity, emergent behaviour, self‐organization, and hierarchy. These interactions unfold at different temporal levels, each warranting a dedicated lens to capture their distinct dynamics. In this study, we apply a complex dynamic systems lens to analyse the longitudinal dyn…
Expanding the lens: Multi-institutional evidence on student use of ChatGPT in higher education
This study investigates how university students engage with generative artificial intelligence (GenAI), specifically ChatGPT, when completing knowledge-based academic tasks across six courses and two institutions. By comparing performance and perceptions in engineering and non-engineering subjects, the study examines whether students can use GenAI effectively without prior training and to what extent such tools meaningfully support learning. The …
Computer Science (4 works) · Psychology (3 works) · Analytics (2 works) · Artificial Intelligence (2 works) · Data science (2 works) · Learning analytics (2 works) · Mathematics education (2 works) · Advanced Text Analysis Techniques (1 works) · AI in Service Interactions (1 works) · Artificial Intelligence in Healthcare and Education (1 works)