Héctor J. Pijeira-Díaz

Héctor J. Pijeira-Díaz

Universiteit Maastricht

H-index: 10

Europe-Netherlands

About Héctor J. Pijeira-Díaz

Héctor J. Pijeira-Díaz, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Universiteit Maastricht, specializes in the field of Learning analytics, Self-regulated Learning, Arousal, Electrodermal Activity, Collaborative Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards adaptive support for self‐regulated learning of causal relations: Evaluating four Dutch word vector models

Evaluating Sentence‐BERT‐powered learning analytics for automated assessment of students' causal diagrams

Causal diagramming to improve students' monitoring accuracy and text comprehension: Effects of diagram standards and self‐scoring instructions

The role of feedback on students’ diagramming: Effects on monitoring accuracy and text comprehension

Scaffolding self-regulated learning from causal-relations texts: Diagramming and self-assessment to improve metacomprehension accuracy?

Comparing the Accuracy of Automatic Scoring Solutions for a Text Comprehension Diagramming Intervention

Modeling the complex interplay between monitoring events for regulated learning with psychological networks

Revealing the hidden structure of physiological states during metacognitive monitoring in collaborative learning

Héctor J. Pijeira-Díaz Information

University

Position

Post-doctoral researcher

Citations(all)

581

Citations(since 2020)

507

Cited By

208

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

9

Email

University Profile Page

Universiteit Maastricht

Google Scholar

View Google Scholar Profile

Héctor J. Pijeira-Díaz Skills & Research Interests

Learning analytics

Self-regulated Learning

Arousal

Electrodermal Activity

Collaborative Learning

Top articles of Héctor J. Pijeira-Díaz

Title

Journal

Author(s)

Publication Date

Towards adaptive support for self‐regulated learning of causal relations: Evaluating four Dutch word vector models

British Journal of Educational Technology

Héctor J Pijeira‐Díaz

Sophia Braumann

Janneke van de Pol

Tamara van Gog

Anique BH de Bruin

2024/1/16

Evaluating Sentence‐BERT‐powered learning analytics for automated assessment of students' causal diagrams

Journal of Computer Assisted Learning

Héctor J Pijeira‐Díaz

Shashank Subramanya

Janneke van de Pol

Anique de Bruin

2024

Causal diagramming to improve students' monitoring accuracy and text comprehension: Effects of diagram standards and self‐scoring instructions

Applied Cognitive Psychology

Sophia Braumann

Margot van Wermeskerken

Janneke van de Pol

Héctor J Pijeira‐Díaz

Anique BH de Bruin

...

2024/1

The role of feedback on students’ diagramming: Effects on monitoring accuracy and text comprehension

Contemporary Educational Psychology

Sophia Braumann

Janneke van de Pol

Ellen Kok

Héctor J Pijeira-Díaz

Margot van Wermeskerken

...

2024/3/1

Scaffolding self-regulated learning from causal-relations texts: Diagramming and self-assessment to improve metacomprehension accuracy?

Metacognition and Learning

Héctor J Pijeira-Díaz

Janneke van de Pol

Faisal Channa

Anique de Bruin

2023/12

Comparing the Accuracy of Automatic Scoring Solutions for a Text Comprehension Diagramming Intervention

Héctor J. Pijeira-Díaz

Jasper Snel

Sophia Braumann

Janneke van de Pol

Tamara van Gog

...

2022

Modeling the complex interplay between monitoring events for regulated learning with psychological networks

Jonna Malmberg

Mohammed Saqr

Hanna Järvenoja

Eetu Haataja

Héctor J Pijeira-Díaz

...

2022/10/9

Revealing the hidden structure of physiological states during metacognitive monitoring in collaborative learning

Journal of Computer Assisted Learning

Jonna Malmberg

Oliver Fincham

Héctor J Pijeira‐Díaz

Sanna Järvelä

Dragan Gašević

2021/6

Multimodal data indicators for capturing cognitive, motivational, and emotional learning processes: A systematic literature review

Omid Noroozi

Héctor J Pijeira-Díaz

Marta Sobocinski

Muhterem Dindar

Sanna Järvelä

...

2020/11

Multimodal Data Indicators for Cognitive, Motivational, and Emotional Learning Processes

O Noroozi

Héctor J Pijeira-Díaz

Marta Sobocinski

Muhterem Dindar

Sanna Järvelä

...

2020

Designing and implementing multimodal data collection in classroom to capture metacognition in collaborative learning.

Jonna Malmberg

Sanna Järvelä

Hanna Järvenoja

Eetu Haataja

Ahsen Cini

2020/1/1

See List of Professors in Héctor J. Pijeira-Díaz University(Universiteit Maastricht)