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Alex Quigley – Routledge, Taylor & Francis Group, 2024
It is a truth universally acknowledged that pupils do not learn all that they are taught. They may learn something, they may even learn a lot, but it may not be a lot of what we think we have taught them or they may struggle to apply knowledge successfully. In this book, bestselling author Alex Quigley characterises how the long and winding road…
Descriptors: Learning, Success, Failure, Memory
Garvin Brod; Elfriede Holstein; Leonie Weindorf; Joseph Colantonio; Elizabeth Bonawitz; Maria Theobald – npj Science of Learning, 2025
Can you learn better by doing something yourself (DIY) or by watching somebody else do it? We present a new approach to examine this perennial question in research on learning and instruction. In a science learning task, children aged 5 to 7 years (N = 95) either generated predictions themselves (active condition) or observed the predictions of a…
Descriptors: Independent Study, Learning Activities, Experiential Learning, Active Learning
Anna C. Brady; Christopher A. Wolters; Penny A. Pasque; Shirley L. Yu; Tzu-Jung Lin – Active Learning in Higher Education, 2025
This study aimed to identify and evaluate major processes college students engage in as they begin their active engagement in learning. Semi-structured interviews were conducted with 23 college students. Then, a grounded theory approach was used to identify the forethought processes students described. These processes included identifying goals,…
Descriptors: Active Learning, College Students, Independent Study, Learning Processes
Brand, Charleen; Hartmann, Christian; Loibl, Katharina; Rummel, Nikol – Instructional Science: An International Journal of the Learning Sciences, 2023
Productive Failure (PF) is an instructional design that implements a problem-solving phase which aims at preparing students for learning from a subsequent instruction. PF has been shown to facilitate students' conceptual knowledge acquisition in the mathematical domain. Collaboration has been described as a vital design component of PF, but…
Descriptors: Failure, Cooperative Learning, Independent Study, Problem Solving
Concannon-Gibney, Tara – Professional Development in Education, 2023
In this paper, a teacher educator discusses her experience of professional learning through self-study. The author found the transition between being a classroom teacher and teacher educator challenging, as has been noted in recent literature. Thus, she decided to embark on a self-study, which was focused on the enhancement of her teaching so that…
Descriptors: Teacher Educators, Professional Education, Faculty Development, Independent Study
Gökçe Güvercin-Seçkin – International Journal of Self-Directed Learning, 2023
The foundational premise of this action research was the students' underestimation of a community service learning course. The objective of this study was to delve into the experiences and viewpoints of senior-level university students regarding the service learning course, employing the principles of self-directed learning. In this endeavor,…
Descriptors: Service Learning, Student Attitudes, Independent Study, Undergraduate Students
Patrick H. M. Sins; Lida T. Klaver; Jaap de Brouwer; Tessa H. S. Eysink; Alieke M. van Dijk – Psychology in the Schools, 2025
Supporting students' self-regulated learning (SRL) is essential in education, yet most interventions adopt a one-size-fits-all approach, overlooking individual differences in students' ability to engage in SRL. Tailored instruction requires reliable assessment tools that distinguish between students' "availability" (knowledge) and…
Descriptors: Elementary School Students, Independent Study, Learning Strategies, Inquiry
Hongwei Yang; Müslim Alanoglu; Songül Karabatak; Jian Su; Kelly Bradley – International Review of Research in Open and Distributed Learning, 2025
This study developed and validated the Turkish version of the Self-Directed Online Learning Scale (SDOLS-T) for assessing students' perceptions of their self-directed learning (SDL) ability in an online environment. Specifically, this study conducted in two stages multiple categorical confirmatory factor analyses factoring in the ordered…
Descriptors: Foreign Countries, Factor Analysis, Translation, Student Attitudes
Taylor, Leonard, Jr.; Mastrogiovanni, Margaret; Lakin, Joni M.; Davis, Virginia – Journal of Engineering Education, 2023
Background: Engineering-oriented bridge programs and camps are popular strategies for broadening participation. The students who often serve as counselors and mentors in these programs are integral to their success. Purpose: Predicated on the belief that mentoring contributes to positive outcomes for the mentors themselves, we sought to understand…
Descriptors: Blacks, African American Students, Engineering Education, Peer Relationship
Dina Zohrabi Alaee; Benjamin M. Zwickl – Physical Review Physics Education Research, 2025
This study investigates how undergraduate physics majors develop an interest in specific subfields. We examine interest formation through the lens of social cognitive career theory (SCCT) using four SCCT constructs: learning experiences, self-efficacy, outcome expectations, and proximal environmental influences. We conducted 27 interviews with…
Descriptors: Undergraduate Students, Physics, Science Instruction, Student Attitudes
van der Graaf, Joep; Lim, Lyn; Fan, Yizhou; Kilgour, Jonathan; Moore, Johanna; Gaševic, Dragan; Bannert, Maria; Molenaar, Inge – Metacognition and Learning, 2022
Self-regulated learning (SRL) has been linked to improved learning and corresponding learning outcomes. However, there is a need for more precise insights into how SRL during learning contributes to specific learning outcomes. We operationalised four learning outcomes that varied on two dimensions: structure/connectedness and level/deepness of…
Descriptors: College Students, Self Control, Learning Processes, Independent Study
Anna Y. Q. Huang; Cheng-Yan Lin; Sheng-Yi Su; Stephen J. H. Yang – British Journal of Educational Technology, 2025
Programming education often imposes a high cognitive burden on novice programmers, requiring them to master syntax, logic, and problem-solving while simultaneously managing debugging tasks. Prior knowledge is a critical factor influencing programming learning performance. A lack of foundational knowledge limits students' self-regulated learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Coding, Programming
Al Mamun, Md Abdullah; Lawrie, Gwendolyn – Smart Learning Environments, 2023
Technological innovations and changing learning environments are influencing student engagement more than ever before. These changing learning environments are affecting the constructs of student behavioural engagement in the online environment and require scrutiny to determine how to facilitate better student learning outcomes. Specifically,…
Descriptors: Instructional Design, Student Behavior, Inquiry, Learner Engagement
Fulano, Celso; Magalhães, Paula; Núñez, José C.; Marcuzzo, Simone; Rosário, Pedro – International Journal of School & Educational Psychology, 2021
Academic procrastination can be described as the delayed completion of academic tasks. This behavior is pervasive among students from different grade levels and cultures. A structural equation model was run to analyze the relationships between prior knowledge and procrastination in mathematics mediated by self-regulated learning and self-efficacy…
Descriptors: Foreign Countries, Prior Learning, Time Management, Mathematics Education
Eve Kikas; Gintautas Silinskas; Eliis Härma – European Journal of Psychology of Education, 2024
The aim of this study was to examine which topic- and learning-related knowledge and motivational beliefs predict the use of specific deep-level learning strategies during an independent learning task. Participants included 335 Estonian fourth- and sixth-grade students who were asked to read about light processes and seasonal changes. The study…
Descriptors: Astronomy, Learning Strategies, Light, Vignettes

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