Results 101 to 110 of about 36,725 (310)

On the proposed role of metacognition in environment learning: recommendations for research

Cognitive Research, 2022
Metacognition plays a role in environment learning (EL). When navigating, we monitor environment information to judge our likelihood to remember our way, and we engage in control by using tools to prevent getting lost.
Lauren A. Mason, Ayanna K. Thomas, Holly A. Taylor   +2 more
doaj   +1 more source

Hematopoietic Stem Cell Transplantation in an International Cohort of Colony Stimulating Factor‐1 Receptor (CSF1R)‐Related Disorder

Movement Disorders, EarlyView.
Abstract Background Colony stimulating factor‐1 receptor (CSF1R)‐related disorder (CSF1R‐RD) is an autosomal dominant, rapidly progressive, demyelinating disease leading to death usually within a few years. Because of the central role of CSF1R in microglia functions, allogeneic hematopoietic stem cell transplantation (HSCT) has been suggested as a ...
Hemmo A.F. Yska, Marianne Golse, Shanice Beerepoot, Stefanie Hayer, Caroline Bergner, Anderson Rodrigues Brandao de Paiva, Cecilia Marelli, Natalia Julia Palacios, Yudy Llamas Osorio, Camille Huiban, Georg Franke, Friederike Wortmann, Udo Holtick, Xavier Ayrignac, Marjo S. van der Knaap, Ludger Schöls, Vincent Perlbarg, Damien Galanaud, Moniek A. de Witte, Nicole I. Wolf, Stéphanie Nguyen, Fanny Mochel, the International CSF1R‐RD Working Group, Wolfgang Köhler, Angeles Garcia‐Cazorla, Laetitia Souchet, Boris Chaumette, Bernardo Blanco, Magali Barbier, Bruno Stankoff, Anne‐Laure Dubessy, Florence Robert‐Varvat, Audrey Riou, Sacha Weber, Benjamin Bender, Nathalie Fegueux, Patrice Ceballos, Nicolas Menjot de Champfleur, Sylvain Lehmann, Clarisse Cara‐Dallière, Pierre Labauge, Caroline Lindemans, Fernando Freua, Livia Mariano, Leandro Tavares Lucato, Gustavo Bruniera Peres Fernandes, Claudio M. de Gusmão, José Ulysses Amigo Filho, Fernando Kok, Laia Turon, Isabel Badell, Iván López Torija, Marta Gomez   +52 more
wiley   +1 more source

Roles of metacognition and achievement goals in mathematical modeling competency: A structural equation modeling analysis. [PDF]

PLoS ONE, 2018
This study investigates the relationship between metacognition and achievement goals which may influence mathematical modeling competency in students of mathematics education programs.
Riyan Hidayat, Hutkemri Zulnaidi, Sharifah Norul Akmar Syed Zamri   +2 more
doaj   +1 more source

Sense‐Making Phenomena‐Based Planning: Development of Professional Vision on Ambitious Science Teaching

Science Education, EarlyView.
ABSTRACT In the era of the Framework for K‐12 Science Education and Next Generation Science Standards (NGSS), research on preparing preservice science teachers (PSTs) for NGSS‐aligned teaching practices is important. In this study, we explored PSTs' sense‐making around planning for Ambitious Science Teaching (AST) during their discussions of teaching ...
Arzu Tanis Ozcelik, Scott McDonald
wiley   +1 more source

A Longitudinal Phenomenological Case Study of Undergraduate Science Majors' Motivation to Mentor Youth in Science, Technology, Engineering, and Mathematics Research

Science Education, EarlyView.
ABSTRACT This longitudinal phenomenological case study examines a science outreach program called iBEARS from undergraduate mentors' perceptions of their expectation for success, value in the experience, and knowledge gained. Undergraduates (n = 24) mentored K‐12 classrooms through biology research projects, participated in pre‐ and post‐questionnaires,
Maryann R. Hebda, Tracey N. Sulak, Liesel A. Lutz, Alex T. St. Louis, Kailah E. Hall, Marty L. Harvill   +5 more
wiley   +1 more source

Elementary Students' Metacognitive Knowledge of Epistemic Criteria

Journal of Research in Science Teaching, EarlyView.
ABSTRACT Scientific modeling is a core practice of scientific inquiry. Students' engagement in modeling can be enhanced by attending to epistemic criteria, which in science are standards used to evaluate the validity and accuracy of scientific models. While prior research has focused on students' development and use of epistemic criteria in scientific ...
Danielle Murphy, Ravit Golan Duncan, Clark A. Chinn, Joshua Danish, Cindy E. Hmelo Silver, Jinzhi Zhou, Zach Ryan   +6 more
wiley   +1 more source

TBLT, Engagement, and Group Synchronicity: Exploring the Relationships between Affective, Social, and Cognitive Aspects of Task‐Based Performance

TESOL Quarterly, EarlyView.
Abstract This classroom‐based exploratory study examined the relationships between affective, social, and cognitive aspects of second language (L2) learners' task‐based performance. In responding to practical challenges when TBLT is implemented in the real‐world context, we collected observational data from multiple sources.
Masatoshi Sato, Gonzalo Salas, Lani Freeborn, Azar Tajabadi   +3 more
wiley   +1 more source

Analisis Level Metakognisi Siswa Sekolah Menengah Atas Penghafal al-Qur’an dalam Memecahkan Masalah Matematika

Arithmetic, 2019
Metacognition has a key position on problem solving in mathematics. Metacognition is thinking about what they think. This research is qualitative research purposing for identifying of students’ metacognition level on matematics problem solving based on ...
Dewi Rosikhoh, Liny Mardhiyatirrahmah, Abdussakir Abdussakir   +2 more
doaj   +1 more source

Domain-General and Domain-Specific Patterns of Activity Supporting Metacognition in Human Prefrontal Cortex

Journal of Neuroscience, 2018
Metacognition is the capacity to evaluate the success of one's own cognitive processes in various domains; for example, memory and perception. It remains controversial whether metacognition relies on a domain-general resource that is applied to different
Jorge Morales, H. Lau, S. Fleming
semanticscholar   +1 more source

The cognition/metacognition tradeoff

Psychological Science, 2020
Integration-to-boundary is an optimal decision algorithm that takes samples of evidence until the posterior reaches a decision boundary, resulting in the fastest decisions for a target accuracy. For example, integration-to-boundary achieves faster mean-RT compared with taking a fixed number of samples that result in the same choice-accuracy.
David Rosenbaum, Moshe Glickman, Stephen M. Fleming, Marius Usher   +3 more
openaire   +6 more sources