Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 11 |
Since 2016 (last 10 years) | 26 |
Since 2006 (last 20 years) | 31 |
Descriptor
Cooperative Learning | 31 |
Foreign Countries | 10 |
Learning Processes | 10 |
Metacognition | 10 |
Physiology | 8 |
Group Dynamics | 7 |
Interaction | 6 |
Problem Solving | 6 |
Video Technology | 6 |
Cognitive Processes | 5 |
College Students | 5 |
More ▼ |
Source
Author
Järvelä, Sanna | 31 |
Malmberg, Jonna | 17 |
Järvenoja, Hanna | 9 |
Näykki, Piia | 8 |
Dindar, Muhterem | 5 |
Haataja, Eetu | 4 |
Häkkinen, Päivi | 4 |
Isohätälä, Jaana | 4 |
Kirschner, Paul A. | 4 |
Pöysä-Tarhonen, Johanna | 3 |
Sobocinski, Márta | 3 |
More ▼ |
Publication Type
Journal Articles | 31 |
Reports - Research | 25 |
Reports - Descriptive | 3 |
Reports - Evaluative | 3 |
Education Level
Higher Education | 14 |
Postsecondary Education | 13 |
Secondary Education | 8 |
High Schools | 6 |
Elementary Education | 3 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Haataja, Eetu; Malmberg, Jonna; Dindar, Muhterem; Järvelä, Sanna – Metacognition and Learning, 2022
Being aware of the progress towards one's goals is considered one of the main characteristics of the self-regulation process. This is also the case for collaborative problem solving, which invites group members to metacognitively monitor the progress with their goals and externalize it in social interactions while solving a problem. Monitoring…
Descriptors: Cooperative Learning, Problem Solving, Metacognition, Physiology
Nguyen, Andy; Järvelä, Sanna; Rosé, Carolyn; Järvenoja, Hanna; Malmberg, Jonna – British Journal of Educational Technology, 2023
Socially shared regulation contributes to the success of collaborative learning. However, the assessment of socially shared regulation of learning (SSRL) faces several challenges in the effort to increase the understanding of collaborative learning and support outcomes due to the unobservability of the related cognitive and emotional processes.…
Descriptors: Cooperative Learning, Physiology, Arousal Patterns, Cognitive Processes
Törmänen, Tiina; Järvenoja, Hanna; Saqr, Mohammed; Malmberg, Jonna; Järvelä, Sanna – British Journal of Educational Psychology, 2023
Background: Group affective states for learning are constantly formed through socio-emotional interactions. However, it remains unclear how the affective states vary during collaboration and how they occur with regulation of learning. Appropriate methods are needed to track both group affective states and these interaction processes. Aims: The…
Descriptors: Psychological Patterns, Cooperative Learning, Self Control, Social Emotional Learning
Malmberg, Jonna; Fincham, Oliver; Pijeira-Díaz, Héctor J.; Järvelä, Sanna; Gaševic, Dragan – Journal of Computer Assisted Learning, 2021
Using hidden Markov models (HMM), the current study looked at how learners' metacognitive monitoring is related to their physiological reactivity in the context of collaborative learning. The participants (N = 12, age 16-17 years, three females and nine males) in the study were high school students enrolled in an advanced physics course. The…
Descriptors: Physiology, Metacognition, Cooperative Learning, High School Students
Pöysä-Tarhonen, Johanna; Häkkinen, Päivi; Tarhonen, Pasi; Näykki, Piia; Järvelä, Sanna – Instructional Science: An International Journal of the Learning Sciences, 2022
Collaborative problem solving (CPS) is widely recognized as a prominent 21st-century skill to be mastered. Until recently, research on CPS has often focused on problem solution by the individual; the interest in investigating how the theorized problem-solving constructs function as broader social units, such as pairs or small groups, is relatively…
Descriptors: Problem Solving, Cooperative Learning, Geometry, Preservice Teacher Education
Sobocinski, Márta; Malmberg, Jonna; Järvelä, Sanna – Technology, Knowledge and Learning, 2022
In socially shared regulation of learning, adaptation is a key process for overcoming collaborative learning challenges. Monitoring the learning process allows learners to recognize the situations that require a need to change, revise, or optimize the current learning process. This can be done through adapting their strategies, task perception,…
Descriptors: Video Technology, Metabolism, High School Students, Physics
Çini, Ahsen; Järvelä, Sanna; Dindar, Muhterem; Malmberg, Jonna – Metacognition and Learning, 2023
Metacognitive awareness is knowing about learners' own thinking and learning, facilitated by introspection and self-evaluation. Although metacognitive functions are personal, they cannot be explained simply by individual conceptions, especially in a collaborative group learning context. This study considers metacognitive awareness on multiple…
Descriptors: Metacognition, Video Technology, Measures (Individuals), Problem Solving
Malmberg, Jonna; Saqr, Mohammed; Järvenoja, Hanna; Järvelä, Sanna – Journal of Learning Analytics, 2022
The current study uses a within-person temporal and sequential analysis to understand individual learning processes as part of collaborative learning. Contemporary perspectives of self-regulated learning acknowledge monitoring as a crucial mechanism for each phase of the regulated learning cycle, but little is known about the function of the…
Descriptors: High School Students, Group Activities, Learning Processes, Student Motivation
Pramila-Savukoski, Sari; Kärnä, Raila; Kuivila, Heli-Maria; Oikarainen, Ashlee; Törmänen, Tiina; Juntunen, Jonna; Järvelä, Sanna; Mikkonen, Kristina – Journal of Computer Assisted Learning, 2023
Background: Health sciences education prepares students for social- and healthcare by developing evidence-based nursing, leadership and working life skills, including collaboration. Due to the changes caused by the global pandemic, health sciences education has shifted more to online and hybrid contexts, which can challenge students' competence…
Descriptors: Competence, Health Sciences, Student Development, Blended Learning
Isohätälä, Jaana; Näykki, Piia; Järvelä, Sanna; Baker, Michael J.; Lund, Kristine – International Journal of Computer-Supported Collaborative Learning, 2021
Technologies for computer-supported collaborative learning (CSCL) are playing an increasingly prominent role in educational contexts, especially as teachers and students strive to deal with pandemic-related constraints. However, the technologies being used for collaboration on a daily basis are not sufficiently equipped to promote collaborative…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Educational Technology, COVID-19
Çini, Ahsen; Malmberg, Jonna; Järvelä, Sanna – Educational Studies, 2023
Metacognition is a core process in human learning. The problem is that learners are not often aware of their metacognition. The purpose of this study is to examine learners' metacognitive awareness in terms of their situation-specific perceptions in collaborative learning tasks. Upper elementary school students (N = 92) filled in a Metacognitive…
Descriptors: Metacognition, Cooperative Learning, Measures (Individuals), Task Analysis
Järvelä, Sanna; Järvenoja, Hanna; Malmberg, Jonna – International Journal of Computer-Supported Collaborative Learning, 2019
Self-regulation is critical for successful learning, and socially shared regulation contributes to productive collaborative learning. The problem is that the psychological processes at the foundation of regulation are invisible and, thus, very challenging to understand, support, and influence. The aim of this paper is to review the progress in…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Psychological Patterns, Learning Processes
Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Isohätälä, Jaana; Näykki, Piia; Järvelä, Sanna – Scandinavian Journal of Educational Research, 2020
Collaborative learning involves fluctuations in how students participate in social interaction and how they engage in interactions that are cognitive (e.g., sharing knowledge, monitoring learning) and more socio-emotional (e.g., encouragement, positive appraisal) in nature. Few studies have investigated how participation in social interaction…
Descriptors: Cooperative Learning, Student Participation, Cognitive Processes, Social Emotional Learning
Dindar, Muhterem; Malmberg, Jonna; Järvelä, Sanna; Haataja, Eetu; Kirschner, Paul A. – Education and Information Technologies, 2020
This study investigated the interplay of temporal changes in self-regulated learning processes (i.e., behavioral, cognitive, motivational and emotional) and their relationship with academic achievement in computer-supported collaborative learning. The study employed electrodermal activity and self-report data to capture the dynamicity of…
Descriptors: Metacognition, Learning Processes, Academic Achievement, Computer Assisted Instruction