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Rausch, Manuel; Zehetleitner, Michael – Metacognition and Learning, 2023
A key aspect of metacognition is metacognitive accuracy, i.e., the degree to which confidence judgments differentiate between correct and incorrect trials. To quantify metacognitive accuracy, researchers are faced with an increasing number of different methods. The present study investigated false positive rates associated with various measures of…
Descriptors: Metacognition, Measurement, Accuracy, Vertical Organization
Emilio Rossi – International Journal of Art & Design Education, 2024
The value introduced by informed teaching practices on Design for Social Inclusion is becoming widely accepted by many Design programmes worldwide, though students frequently struggle to propose novel concepts and design ideas from which to develop inclusive solutions. Both teachers and students often employ stereotyped concepts that ultimately…
Descriptors: Inclusion, Instructional Design, Innovation, Teaching Methods
Seppanen, Marita – European Journal of Engineering Education, 2023
Argumentation and metacognitive reflection are required for effective thinking and convincing argumentation in engineering co-design. This study investigated engineering students' argumentation and metacognitive reflection in their final group reports and their correlation with the quality of their work in co-design. The groups practiced and…
Descriptors: Metacognition, Engineering Education, Design, Persuasive Discourse
Liu, Zhichun; Moon, Jewoong – Educational Technology & Society, 2023
In this study, we have proposed and implemented a sequential data analytics (SDA)-driven methodological framework to design adaptivity for digital game-based learning (DGBL). The goal of this framework is to facilitate children's personalized learning experiences for K-5 computing education. Although DGBL experiences can be beneficial, young…
Descriptors: Learning Analytics, Design, Game Based Learning, Computation
Tasnuva Enam; Ian M. McDonough – Metacognition and Learning, 2024
Metamemory judgments, defined as predictions of memory performance, are often influenced by misleading cues, such as fluency. However, how fluency cues compete to influence retrospective metamemory judgments is still unclear. The present study investigated how multiple fluency cues concurrently influence immediate feeling of knowing (FOK)…
Descriptors: Metacognition, Memory, Cues, Word Recognition
Amine Hatun Atas; Zahide Yildirim – Educational Technology Research and Development, 2025
This study advances the emerging research on shared metacognition through the lens of the community of inquiry framework. It seeks components and utterances of the community of inquiry and shared metacognition in online collaborative learning environments to bring an instructional design model to the fore. A three-cycle design-based research…
Descriptors: Metacognition, Instructional Design, Models, Electronic Learning
Esteban Villalobos; Mar Perez-Sanagustin; Roger Azevedo; Cedric Sanza; Julien Broisin – IEEE Transactions on Learning Technologies, 2024
Blended learning (BL) has become increasingly popular in higher education institutions. Despite its popularity and the advances in methodologies for the detection of learning tactics and strategies from trace data, little is known about how they apply to BL settings and, therefore, how students use them to plan, organize, monitor, and regulate…
Descriptors: Metacognition, Learning Strategies, Blended Learning, Instructional Design
Ackerman, Rakefet – Educational Psychology Review, 2023
Solving problems in educational settings, as in daily-life scenarios, involves constantly assessing one's own confidence in each considered solution. Metacognitive research has exposed cues that may bias confidence judgments (e.g., familiarity with question terms). Typically, metacognitive research methodologies require examining misleading cues…
Descriptors: Cues, Instructional Design, Bias, Problem Solving
Yamini Hariharan; Christopher Meiers; Catherine Robert; Marilee Bresciani Ludvik – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The aim of this paper is to explore mindfulness and self-compassion teachings and practices embedded in a leadership course and their outcome on stress regulation of doctoral-level students. Design/methodology/approach: Eight valid and reliable pre-and post-assessment inventories were administered prior to the first week of class and…
Descriptors: Stress Management, Leadership Training, Doctoral Students, Self Management
Hillary E. Merzdorf; Donna Jaison; Morgan B. Weaver; Julie Linsey; Tracy Hammond; Kerrie A. Douglas – Journal of Engineering Education, 2024
Background: Sketching exists in many disciplines and varies in how it is assessed, making it challenging to define fundamental sketching skills and the characteristics of a high-quality sketch. For instructors to apply effective strategies for teaching and assessing engineering sketching, a clear summary of the constructs, metrics, and objectives…
Descriptors: Freehand Drawing, Engineering Education, Educational Research, Design
Lakshminarayanan, Srinivasan; Rao, N. J. – Cogent Education, 2021
CS1 courses are designed in Indian Institutions as a lecture course of three to four credits and one credit lab course. The issues related to curriculum design, instruction design, and students' learning manifest themselves as issues in the lab programs. This situation presents the lab instructor with an opportunity to understand and address the…
Descriptors: Computer Science Education, Teaching Methods, Programming, Programming Languages
Ravishankar Chatta Subramaniam; Jason W. Morphew; Carina M. Rebello; N. Sanjay Rebello – Physical Review Physics Education Research, 2025
Investigating students' thinking in classroom tasks, particularly in science and engineering, is essential for improving educational practices and advancing student learning. In this context, the notion of "Ways of Thinking" (WoT) has gained traction in STEM education, offering a framework to explore how students approach and solve…
Descriptors: STEM Education, Engineering, Physics, Design
Christopher Greer; Devon Eichfeld; Sara Sattarzadeh; Siu Ling Leung – Advances in Engineering Education, 2024
When engineering students are unable to evaluate the validity of their solutions, they are unprepared to solve complex, real-world engineering problems that require decomposition or knowledge transfer. A proper framework is key to successful implementation and can encourage more institutions to adopt problem-solving engineering labs. This paper…
Descriptors: Problem Solving, Engineering Education, Learning Laboratories, Scientific Concepts
Cheruvalath, Reena; Gaude, Ajay – European Journal of Psychology of Education, 2023
Teachers face problem behaviors among children in classrooms of different types and they use positive or negative strategies or both to handle the problem behavior. The objective of the study was to examine to what extent the metacognitive skills of teachers and teacher trainees help in handling problem behaviors of secondary school children…
Descriptors: Behavior Problems, Metacognition, Secondary School Students, Secondary School Teachers
Alejandra J. Magana; Aparajita Jaiswal; Theodora Loyce Amuah; Mariana Zamora Bula; Mohammad Shams Ud Duha; Jennifer C. Richardson – IEEE Transactions on Education, 2024
Contribution: The study characterizes aspects of cognitive and metacognitive dimensions of team cognition of software development teams in educational settings. Background: The software development industry requires software engineers and developers to work in teams; for this, there is substantial research on teamwork in the context of the…
Descriptors: Computer Software, Engineering Education, Undergraduate Students, Teamwork