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Moström Åberg, Marie – Journal of Transformative Education, 2023
The need of being able to foster transformative learning (TL) has increased due to the demands for continuous development in today's work life. Previous research has proposed six core elements to foster TL; however, in these a process perspective is missing. By using an adaptive approach and inspired by action research, drawing on teachers'…
Descriptors: Transformative Learning, Context Effect, Prior Learning, Learning Theories
Piña-Aguirre, José Gerardo; Farfán Márquez, Rosa María – International Electronic Journal of Mathematics Education, 2023
With the objective of identifying intrinsic forms of mathematical production in complex analysis (CA), this study presents an analysis of the mathematical activity of five original works that contributed to the development of Cauchy's integral theorem. The analysis of the mathematical activity was carried out through the identification of the…
Descriptors: Mathematics Education, Epistemology, Theories, Learning Processes
Hardi Sigus; Kaja Mädamürk – Discover Education, 2025
Word problems are frequently taught in shallow contexts, where students primarily use procedural knowledge to solve problems and struggle to transfer their learning to real-life situations. This study examines how extra-mathematical knowledge and motivation may enhance the learning process. The study involved 345 fifth-grade students (51.2% male)…
Descriptors: Student Motivation, Numeracy, Knowledge Level, Mathematics Education
Thomas Gennen – Educational Review, 2025
This paper demonstrates that recurrent difficulties students encounter in learning subject-matter knowledge can be traced, in part, to assumptions about how students best learn knowledge that significantly shape instructional approaches. First, I review the significant influence of empiricist epistemological assumptions on education, covering…
Descriptors: Student Centered Learning, Epistemology, Instructional Design, Constructivism (Learning)
Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
María José Sáez-Bondía; Ester Mateo; Jorge Martín-García – Learning Environments Research, 2024
This study responds to the need to produce inviting learning environments that help to build intentional science learning in early childhood education. We present a free-choice science learning environment on plant diversity in the fall. From the moment it was implemented, we analyzed whether children of different educational levels acted in…
Descriptors: Plants (Botany), Preschool Children, Science Education, Learning Processes
Yuan Tian; Zhongjian Liu; Hainuo Liu; Min Fang – Journal of Computer Assisted Learning, 2025
Background: Online videos featuring human-generated drawing are increasingly popular in education. However, their effectiveness may vary depending on learners' prior knowledge, and further research is needed to confirm their advantages over other common instructional videos. Objectives: The primary goal of this study is to investigate the impact…
Descriptors: Video Technology, Educational Technology, Instructional Films, Freehand Drawing
Zhang, Qian; Fiorella, Logan – Educational Psychologist, 2023
Errors are inevitable in most learning contexts, but under the right conditions, they can be beneficial for learning. Prior research indicates that generating and learning from errors can promote retention of knowledge, higher-level learning, and self-regulation. The present review proposes an integrated theoretical model to explain two major…
Descriptors: Models, Error Correction, Learning Processes, Feedback (Response)
Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
Ghudkam, Supachai; Chatwattana, Pinanta; Piriyasurawong, Pallop – Higher Education Studies, 2023
An imagineering learning model using advance organizers with the internet of things was developed to promote creative innovation for learners in the 21st century. It is an innovation initiated by integrating classroom learning and technology that connects with the internet of things. The objectives of this research were (1) to study and synthesize…
Descriptors: Advance Organizers, Models, Imagination, Problem Solving
Marc Brookes Harrison – ProQuest LLC, 2023
Memory is expressed in multiple functionally and anatomically distinct systems that interact over the course of learning and during the retrieval of information about the world. One method to determine the kind of memory representation (episodic and/or procedural) guiding behavior is to look at the expression of expectations (i.e., predictions) in…
Descriptors: Memory, Attention, Prior Learning, Biofeedback
Brod, Garvin; Shing, Yee Lee – Mind, Brain, and Education, 2022
Humans accumulate knowledge throughout their entire lives. In what ways does this accumulation of knowledge influence learning of new information? Are there age-related differences in the way prior knowledge is leveraged for remembering new information? We review studies that have investigated these questions, focusing on those that have used the…
Descriptors: Age Differences, Prior Learning, Brain Hemisphere Functions, Memory
Zheng, Robert; Cordner, Holly; Spears, Jeffrey – Research and Practice in Technology Enhanced Learning, 2022
This study investigates the effects of annotation on abstract and concrete visual representations in science education. Two studies were conducted: Study 1 investigated the interaction between annotation and visual representations. The results of this study demonstrated that in science learning, annotation with abstract visual representations was…
Descriptors: Documentation, Science Education, Visual Stimuli, Interaction
Amphon Puttharaksa; Piyanee Janthapoom; Apantee Poonputta – International Education Studies, 2025
The study aimed to assess the impact of the KWDL technique on the learning achievement of grade 9 students in quadratic function and their satisfaction with this instructional approach. Forty-four ninth-grade students from a Thai public secondary school participated, recruited by cluster random selection. The instruments comprised a KWDL learning…
Descriptors: Grade 9, Secondary School Students, Foreign Countries, Secondary School Mathematics
Hao Tan – ProQuest LLC, 2021
Vision and language are the primary modalities of our human perception and learning. Recent years have witnessed fast development of methods that connect vision and language. Current deep learning methods are data-hungry, thus pre-training on large-scale data helps warm up the model and shows better fine-tuning results on downstream tasks.…
Descriptors: Visual Aids, Language, Prior Learning, Learning Processes

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