Márta Sobocinski
Developmental and Educational Psychology · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Developmental and Educational Psychology — 60 citations into it
- Education — 39 citations into it
- Social Psychology — 23 citations into it
- Communication — 11 citations into it
- Artificial Intelligence — 8 citations into it
- Computer Science Applications — 7 citations into it
Whom Márta Sobocinski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Zimmerman
- Sanna Järvelä
- Philip H. Winne
- Roger Azevedo
- Allyson Fiona Hadwin
- P. Pintrich
- Inge Molenaar
Who trusts Márta Sobocinski overall
Papers from Márta Sobocinski's perspective
Ordered by how strongly the researchers Márta Sobocinski trusts endorse each paper. Same corpus, a different order for every researcher.
- Motivational Sources and Outcomes of Self-Regulated Learning and Performance
- Investigating Self-Regulation and Motivation: Historical Background, Methodological Developments, and Future Prospects (The American Educational Research Journal)
- Improving Measurements of Self-Regulated Learning
- Process mining techniques for analysing patterns and strategies in students’ self-regulated learning (Metacognition and Learning)
- Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues
- An Analysis of Mental Workload in Pilots During Flight Using Multiple Psychophysiological Measures
- Autonomic nervous system activity in emotion: a review. (Biological Psychology)
- Exploring temporal sequences of regulatory phases and associated interactions in low- and high-challenge collaborative learning sessions
- Using multiple, contextualized data sources to measure learners’ perceptions of their self-regulated learning
- Capturing temporal and sequential patterns of self-, co-, and socially shared regulation in the context of collaborative learning
Their papers
- What multimodal data can tell us about the students’ regulation of their learning process? (2019) — 122 citations
- Exploring temporal sequences of regulatory phases and associated interactions in low- and high-challenge collaborative learning sessions (2017) — 58 citations
- How do types of interaction and phases of self-regulated learning set a stage for collaborative engagement? (2016) — 203 citations