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Frank, Jeff – Studies in Philosophy and Education, 2023
A main goal of this paper is to complicate "learning loss" as the only, or even the main, thing schools should be concerned about as they respond to the COVID-19 pandemic. While schools have a responsibility to make sure students who are enrolled in school are learning, this cannot come at the cost of ignoring the other substantial…
Descriptors: Achievement Gains, COVID-19, Pandemics, Learning Processes
Gómez-Blancarte, Ana Luisa; Tobías-Lara, María Guadalupe – Educational Studies in Mathematics, 2023
Since statistical inference is a probabilistic generalization about a population analyzed on the basis of a sample, inferential reasoning demands producing reasons ("statistical" and "contextual") to substantiate and validate generalizations. To convey an understanding of students' inferential reasoning, we present a…
Descriptors: Undergraduate Students, Inferences, Thinking Skills, Abstract Reasoning
Järvelä, Sanna; Nguyen, Andy; Hadwin, Allyson – British Journal of Educational Technology, 2023
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL…
Descriptors: Artificial Intelligence, Intelligence, Cooperation, Learning Processes
Chunking versus Transitional Probabilities: Differentiating between Theories of Statistical Learning
Emerson, Samantha N.; Conway, Christopher M. – Cognitive Science, 2023
There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. The chunking approach, including models such as PARSER and TRACX, proposes that units are extracted as chunks.…
Descriptors: Statistics Education, Learning Processes, Learning Theories, Pattern Recognition
Demetrios G. Sampson Ed.; Dirk Ifenthaler Ed.; Pedro Isaías Ed. – International Association for Development of the Information Society, 2023
These proceedings contain the papers of the 20th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2023), held in Madeira Island, Portugal, from 21 to 23 October 2023 and organized by the International Association for Development of the Information Society (IADIS). The CELDA conference aims to address the…
Descriptors: Learning Processes, Educational Technology, Teaching Methods, Cognitive Psychology
Jocey Quinn – Studies in the Education of Adults, 2023
This paper focuses on the learning that happens in everyday life, beyond the formal learning environments of schools, colleges, and universities or even beyond community and adult education. It draws on posthuman concepts of 'learning affect' and 'new worlds' to conceptualise this as 'invisible education', affective and transformative,…
Descriptors: Learning Processes, Gender Issues, Gender Differences, Sex Fairness
Ana Paula Juliana Perin; Deivid Eive dos S. Silva; Natasha M. C. Valentim – Informatics in Education, 2023
In Education 4.0, a personalized learning process is expected, and that students are the protagonist. In this new education format, it is necessary to prepare students with the skills and competencies of the 21st-Century, such as teamwork, creativity, and autonomy. One of the ways to develop skills and competencies in students can be through block…
Descriptors: Programming, High School Students, Learning, Learning Processes
Anna Sfard – International Journal of Research in Undergraduate Mathematics Education, 2023
According to commognitive conceptualization, development of mathematical thinking, whether historical or ontogenetic, requires periodic transitions to mathematical discourse "incommensurable" with the one that has been practiced so far. In this new discourse, some familiar mathematical words will be used in a new way. Historically, such…
Descriptors: Cognitive Processes, Mathematics Skills, Vocabulary, Discourse Analysis
Park, Babette; Korbach, Andreas; Ginns, Paul; Brünken, Roland – Educational Psychology Review, 2023
The present work reviews and summarizes results of tracing studies up to the present and collects different explanations for found effects of pointing and tracing while learning as an effective touch-based action method. Two explanations are focused finally in order to test them in the presented eye-tracking study. The study (N = 90) with a…
Descriptors: Nonverbal Communication, Eye Movements, Attention, Tactual Perception
John D. Egan; Steven Tolman; Juliann Sergi McBrayer; Emily Ballesteros – Experiential Learning and Teaching in Higher Education, 2023
Kolb's experiential learning cycle is typically applied in short-term, episodic snapshots of time, while understating the implications of continual, longer-term learning. This fixed-frame, episodic usage may diminish the knowledge that learners bring into an educational experience and the continued shaping of knowledge through future experiences.…
Descriptors: Experiential Learning, Lifelong Learning, Models, Learning Processes
Peter Samuelson Wardrip; Lisa Brahms; Annie White – International Journal of Designs for Learning, 2023
This design case explores the design of a learning framework at a museum. Specifically, the case explores the development of learning practices (LPs) for an arts-based learning space and uses these practices to explain and design for learning and deepening engagement. These LPs represent a means for developing a common language across studio…
Descriptors: Art Education, Studio Art, Museums, Teaching Methods
Aaron Cochrane; Chris R. Sims; Vikranth R. Bejjanki; C. Shawn Green; Daphne Bavelier – npj Science of Learning, 2023
Evidence accumulation models have enabled strong advances in our understanding of decision-making, yet their application to examining learning has not been common. Using data from participants completing a dynamic random dot-motion direction discrimination task across four days, we characterized alterations in two components of perceptual…
Descriptors: Decision Making Skills, Time Factors (Learning), Learning Processes, Perception
Daeun Hong; Srijita Chakraburty; Xiaotian Zou; Yuxin Chen; Cindy E. Hmelo-Silver – Interdisciplinary Journal of Problem-based Learning, 2023
The goal of this paper is to present several methods of visualizing student activity and collaboration in problem-based learning (PBL) in ways that can augment understanding of the complexity within PBL classrooms as well as to provide insights into the use of specific visual representations to address research questions in PBL. Grounded in…
Descriptors: Students, Problem Based Learning, Spatial Ability, Learning Processes
Erin M. Anderson; Apoorva Shivaram; Susan J. Hespos; Dedre Gentner – Grantee Submission, 2023
The ability to generalize previous knowledge to new contexts is a key aspect of human cognition and relational learning. A well-known learning maxim is that breadth of training predicts "breadth of training predicts breadth of transfer." When examples vary in their surface features, this provides evidence that only the common relational…
Descriptors: Learning Processes, Generalization, Transfer of Training, Familiarity
Gwo-Jen Hwang; Hsin Huang; Hui-Yun Chen – Education and Information Technologies, 2025
Enhancing students' civic literacy is considered an essential educational goal in the 21st century. Therefore, in the teaching process, how to provide students with opportunities to solve problems and how to provide immediate feedback to help students make correct decisions when facing real problems are important and challenging issues. Digital…
Descriptors: Civics, Positive Attitudes, Learning Processes, Behavior