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Clements, Douglas H.; Guss, Shannon S.; Sarama, Julie – Mathematics Teacher: Learning and Teaching PK-12, 2022
The purpose of this article is to describe and illustrate learning trajectories (LTs) and introduce a new, comprehensive set of resources that support teaching meaningfully and joyfully. An LT for a topic has three parts: (1) a mathematical goal; (2) a developmental progression of levels of thinking; and (3) teaching practices (environments,…
Descriptors: Mathematics Instruction, Early Childhood Education, Mathematics Education, Teaching Methods
Sharma, Meenakshi – Georgia Educational Researcher, 2022
The present article analyzes two critical frameworks within teacher education and how they construct preservice teachers and their learning within teacher education. These frameworks of 'Apprenticeship of Observation' (AoO) and 'Ambitious Practice' (AP) present opposing narratives about preservice teachers. While AoO directs our attention to…
Descriptors: Preservice Teachers, Learning, Preservice Teacher Education, Learning Processes
Tan, Sophia Huey Shan; Thibault, Guillaume; Chew, Anna Chia Yin; Rajalingam, Preman – Journal of Computer Assisted Learning, 2022
Background: Different types of assessments influence learning and learning behaviour. Multiple-choice questions (MCQs) reward partial knowledge and encourage surface learning, while open-ended questions (OEQs) promote deeper learning. Currently, MCQs is part of team-based learning (TBL) curriculum, and it is challenging to implement OEQs as…
Descriptors: Questioning Techniques, Academic Achievement, Learner Engagement, Learning Processes
Dike, Felix Okechukwu; Chukwuorji, JohnBosco Chika – Journal of Transformative Education, 2022
The theory of transformative learning (TL) has been criticized secondhand for its lack of clarity in capturing and explaining in detail the processes undergone by learners who are going through TL experiences and their link to learning outcomes. Using a case study design, and carefully synthesized TL processes (TLPs) from Mezirow's TL theory, we…
Descriptors: Transformative Learning, Learning Theories, Reflection, Learning Processes
Siren, Anni; Tzerpos, Vassilios – IEEE Transactions on Learning Technologies, 2022
Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we systematically map the techniques and algorithms that are needed to create such learning paths automatically. We focus on open educational resources (OER), though a…
Descriptors: Open Educational Resources, Artificial Intelligence, Instructional Materials, Educational Technology
Bharadwaj, Avni; Dargue, Nicole; Sweller, Naomi – Cognitive Science, 2022
Research has shown that gesture production supports learning across a number of tasks. It is unclear, however, whether gesture production during encoding can support narrative recall, who gesture production benefits most, and whether certain types of gestures are more beneficial than others. This study, therefore, investigated the effect of…
Descriptors: Nonverbal Communication, Recall (Psychology), Cognitive Processes, Verbal Communication
Teodóra Vékony; Claire Pleche; Orsolya Pesthy; Karolina Janacsek; Dezso Nemeth – npj Science of Learning, 2022
Procedural learning is key to optimal skill learning and is essential for functioning in everyday life. The findings of previous studies are contradictory regarding whether procedural learning can be modified by prioritizing speed or accuracy during learning. The conflicting results may be due to the fact that procedural learning is a multifaceted…
Descriptors: Learning Processes, Accuracy, Reaction Time, Cognitive Processes
Konstantin Kaganovsky – ProQuest LLC, 2022
The brain must strike a balance between reliable information processing and adaptation to an ever-changing environment. At a gross anatomical level, the brain's wiring diagram is believed to be relatively set after development. Therefore, a fundamental question arises: how does stereotyped wiring lead to flexible dynamics, computation, and…
Descriptors: Brain Hemisphere Functions, Learning Processes, Brain, Behavior
Strouse, Gabrielle A.; Samson, Jennifer E. – Child Development, 2021
Young children often learn less from video than face-to-face presentations. Meta-regression models were used to examine the average size of this difference (video deficit) and investigate moderators. An average deficit of about half of a standard deviation was reported across 122 independent effect sizes from 59 reports, involving children ages…
Descriptors: Video Technology, Young Children, Learning Processes, Effect Size
Bulgarelli, Federica; Weiss, Daniel J. – Language Learning, 2021
Contending with talker variability has been found to lead to processing costs but also benefits by focusing learners on invariant properties of the signal, indicating that talker variability acts as a desirable difficulty. That is, talker variability may lead to initial costs followed by long-term benefits for retention and generalization. Adult…
Descriptors: Speech, Adults, Grammar, Learning Processes
Leonie I. Johann; Fredrik K. H. Rusk; Michael J. Reiss; Jorge Groß – Journal of Biological Education, 2024
This study reports on the theoretical- and empirical-based design and evaluation of cell membrane biology learning activities within the Model of Educational Reconstruction and experiential realism. First, we designed analogy-based learning activities by considering students' and scientists' conceptions as described in the literature. Secondly, we…
Descriptors: Secondary School Students, Thinking Skills, Cytology, Molecular Biology
Luke Strickland; Simon Farrell; Micah K. Wilson; Jack Hutchinson; Shayne Loft – Cognitive Research: Principles and Implications, 2024
In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…
Descriptors: Automation, Reliability, Man Machine Systems, Learning Processes
Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
Fabian Tomaschek; Michael Ramscar; Jessie S. Nixon – Cognitive Science, 2024
Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…
Descriptors: Sequential Learning, Learning Processes, Serial Learning, Executive Function
O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences