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Chun-Chun Chang; Gwo-Jen Hwang; Liang-Shiou Ou – Journal of Computer Assisted Learning, 2025
Background: Health education aims to encourage individuals to voluntarily take action to improve their health. Throughout this process, adult learners can make informed decisions to change their behaviours and enhance their well-being. In medical institutions, employing appropriate instructional strategies to facilitate changes in health…
Descriptors: Patients, Cognitive Processes, Robotics, Patient Education
Anastasia Efklides; Bennett L. Schwartz – Educational Psychology Review, 2024
Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical…
Descriptors: Metacognition, Self Management, Learning Strategies, Models
Natalia Andreassen; Rune Elvegård; Rune Villanger; Bjørn Helge Johnsen – Learning Organization, 2025
Purpose: Evaluating emergency preparedness exercises is crucial for assessing enhanced knowledge, facilitating learning and implementing knowledge in organizations. The cognitive process of motivation for action is a precursor for action, coping behavior and individual learning. This study aims to focus on how guided evaluation of emergency…
Descriptors: Cognitive Processes, Emergency Programs, Motivation, Readiness
Rieke Ammoneit; Maximilian Felix Göhner; Tom Bielik; Moritz Krell – Science Education, 2024
Definitions of modeling competence in science education do not yet include noncognitive factors. However, noncognitive factors are central to competence and might thus substantially improve our understanding of modeling competence. In this article, we analyze volition during preservice science teachers' engagement with a black-box modeling task…
Descriptors: Models, Science Education, Preservice Teachers, Science Teachers
Laura Wirth; Gilbert Greefrath – ZDM: Mathematics Education, 2024
Many instructional videos in mathematics education target knowledge of procedures and algorithms. To design instructional videos that support students in a non-algorithmic domain, such as mathematical modeling, we developed a framework based on research on heuristic worked examples and instructional videos. Because students' perceptions play an…
Descriptors: Mathematical Models, Mathematics Instruction, Secondary School Students, Video Technology
Ana Estefanía Azpilicueta; Fernanda Belén Ghio; Marcos Cupani; Sebastián Jesús Garrido; Valeria Morán – Journal of Psychoeducational Assessment, 2024
The current study sought to test hypotheses derived from the social cognitive model of career self-management (CSM; Lent & Brown, 2013) applied to the process of career exploration and decision-making. We examined how well personality traits, contextual factors, and social cognitive predictors, collectively, account for exploration behavior…
Descriptors: High School Students, Personality Traits, Career Choice, Self Efficacy
Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
Analyzing Predictors of Perceived Graduate Employability from Sufficiency and Necessity Perspectives
Yin Ma; Dawn Bennett – Higher Education: The International Journal of Higher Education Research, 2024
This study aims to understand the sufficient, necessary, and critical factors of students' perceived employability (PE). It employs an innovative combination of Partial Least Squares Structural Equation Modeling (PLS-SEM), Necessary Condition Analysis (NCA), and Importance-Performance Matrix Analysis (IPMA). PE is conceptualized as five…
Descriptors: Predictor Variables, College Graduates, Employment Potential, Human Capital
Chia-Yu Hsu; Izumi Horikoshi; Rwitajit Majumdar; Hiroaki Ogata – Educational Technology & Society, 2024
This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…
Descriptors: Habit Formation, Behavior Change, Learning Analytics, Data Interpretation
Catalina Ramírez-Aristizábal; Renato de Oliveira Moraes – Education and Information Technologies, 2024
Learning Management Systems (LMS) have gained importance in the last few years; however, the emergence of COVID-19 disease made these systems indispensable for educational systems. In the post-pandemic scenario and blended learning contexts, this kind of information system is also becoming more critical as a support system. Therefore, this…
Descriptors: Learning Management Systems, Success, COVID-19, Pandemics
Sujiyani Kassiavera; A. Suparmi; C. Cari; Sukarmin Sukarmin – Journal of Baltic Science Education, 2024
The challenge of accurately assessing critical thinking in physics education, particularly on topics like work and energy, remains a key issue for educators. The current study aims to address this challenge by exploring students' critical thinking abilities using two-tier test data analyzed through the Rasch model. Data were collected from…
Descriptors: Critical Thinking, Physics, Science Instruction, Foreign Countries
Osvaldo Hernández González; Rosario Elena Spencer Contreras; Pilar Sanz-Cervera; Raúl Tárraga-Mínguez – Journal of Research in Special Educational Needs, 2024
In this study, we used Gross's (2015) emotional regulation model to examine teachers' emotional regulation strategies and the relationship between this emotional regulation and the participation of students with ASD. The sample was selected using a non-probabilistic technique (convenience) with a total of 131 Cuban teachers from primary schools…
Descriptors: Elementary School Students, Preschool Children, Preschools, Elementary School Teachers
Katherine E. Frye; Delaney L. Boss; Christopher J. Anthony; Hanxiang Du; Wanli Xing – School Psychology Review, 2024
Social and emotional learning (SEL) has been increasingly emphasized in educational research and practice for promoting children's wellbeing. Perhaps the most well-known SEL framework is the model provided by the Collaborative for Academic, Social, and Emotional Learning (CASEL). This framework has become the dominant framework informing state SEL…
Descriptors: Content Analysis, Social Emotional Learning, State Standards, Elementary Secondary Education
Pattrawadee Makmee; Somchai Sompaisarnsilp; Tossaporn Krairiksh – Cogent Education, 2024
Self-directed learning competency promotes investigation and truth-seeking. In veterinary anatomy courses, high levels of self-directed learning behavior may lead to effective learning outcomes, benefiting veterinary practice. This study aimed to compare levels, analyze factors, and test invariance of influences affecting self-directed learning…
Descriptors: Veterinary Medical Education, Independent Study, Anatomy, Skill Development
Kristy L. Brann; Christopher J. Anthony; Stephen N. Elliott; Ashley Flora; Courtney A. DiOrio – Journal of Psychoeducational Assessment, 2024
When conducting universal social and emotional learning (SEL) screening, schools need clear decision-making guidelines for selecting informants. The current study examined informant profiles for screening SEL functioning using latent profile analysis with the student and teacher forms of the SSIS SEL Brief Scales for 536 students in grades 3-7.…
Descriptors: Screening Tests, Social Emotional Learning, Teacher Student Relationship, Profiles
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