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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
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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
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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
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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
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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
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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
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Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
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Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
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Carlos Lage-Gómez; Sabine Chatelain; Roberto Cremades-Andreu – Research Studies in Music Education, 2024
Creativity has been described as an indissociable component of music education, complex to conceptualize and often overgeneralized. This article provides an overview of existing research on musical creativities in secondary education between 1990 and 2020. A total of 76 articles published in peer-reviewed journals are reviewed according to PRISMA…
Descriptors: Creativity, Music Education, Teaching Methods, Learning Processes
Vanessa Wintoneak; Mindy Blaise – Sage Research Methods Cases, 2024
This case study discusses responsive walking methods from a yearlong river-child-walking project situated in early childhood education. Grounded by feminist anti-colonialism, this project reconfigured children's relations with a local river and challenged dominant, extractive methods of discovery. A behind-the-scenes approach is taken in this case…
Descriptors: Physical Activities, Place Based Education, Decision Making, Case Studies
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Isabel Pedersen – OTESSA Journal, 2024
The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the multifaceted influence of generative AI, with a particular focus on OpenAI's ChatGPT within academic settings during the first six…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Change
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Marhan Taufik; Reni Dwi Susanti – Pedagogical Research, 2024
This research examines the application of students' computational thinking (CT) in solving numerical method problems through computer software. Data collection involved observing their learning process and conducting tests to evaluate their CT skills within the context of the root approach material using Newton-Raphson method. The results indicate…
Descriptors: Foreign Countries, Mathematics Education, College Students, Private Colleges
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Sandra Baroudi; Areej ElSayary – Higher Education Quarterly, 2024
In recent years, there has been a growing focus on innovation research, particularly in the manufacturing and information technology sectors in the US and Europe. However, the disruptions caused by the recent pandemic called for more innovations, especially in the education industry. Innovation is viewed as an outcome of a set of various drivers.…
Descriptors: Educational Innovation, Sustainability, Interdisciplinary Approach, College Faculty
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Stephanie Moser; Doris Lewalter – European Journal of Psychology of Education, 2024
Augmented reality (AR) presents significant opportunities for creating authentic learning environments by accurately mirroring real-world objects, contexts, and tasks. The visual fidelity of AR content, seamlessly integrated into the real world, contributes to its perceived authenticity. Despite acknowledging AR's positive impact on learning,…
Descriptors: Learning Strategies, Visual Learning, Simulated Environment, Human Body
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Camille Dickson-Deane; Patricia Grant; Dauran McNeil – Distance Learning, 2024
Recognizing that online teaching and learning is placed within an environment where neither the teacher nor the student has complete-control is the first step to actioning capabilities towards a humanized environment. The tool that is typically used in higher education, the learning management system (LMS), has a design that constrains learning…
Descriptors: Learning Management Systems, Empathy, Personal Autonomy, Electronic Learning
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