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Showing 1 to 15 of 23 results Save | Export
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Natasa Ganea; Caspar Addyman; Jiale Yang; Andrew Bremner – Child Development, 2024
This study investigated whether infants encode better the features of a briefly occluded object if its movements are specified simultaneously by vision and audition than if they are not (data collected: 2017-2019). Experiment 1 showed that 10-month-old infants (N = 39, 22 females, White-English) notice changes in the visual pattern on the object…
Descriptors: Infants, Child Development, Multisensory Learning, Recall (Psychology)
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Mason A. Wirtz; Simone E. Pfenninger – Language Learning, 2024
This study is the first to explore microdevelopment in sociolinguistic evaluative judgments of standard German and Austro-Bavarian dialect by adult second language learners of German by using dense time serial measurements. Intensive longitudinal data (10 observations per participant) were collected from four learners at approximately weekly…
Descriptors: Second Language Learning, Sociolinguistics, German, Time
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Estrella, Soledad; Méndez-Reina, Maritza; Vidal-Szabó, Pedro – Statistics Education Research Journal, 2023
Recent research suggests the benefits of supporting a progressive understanding of concepts of inference prior to the teaching of procedures and formal calculations through the study of informal statistical inference (ISI). To contribute to the growing knowledge about the early learning and teaching of statistics, particularly regarding the…
Descriptors: Grade 3, Elementary School Students, Learning Trajectories, Statistics Education
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van Dijke-Droogers, Marianne; Drijvers, Paul; Bakker, Arthur – International Journal of Science and Mathematics Education, 2022
This paper comprises the results of a design study that aims at developing a theoretically and empirically based learning trajectory on statistical inference for 9th-grade students. Based on theories of informal statistical inference, an 8-step learning trajectory was designed. The trajectory consisted of two similar four step sequences: (1)…
Descriptors: Grade 9, Learning Trajectories, Computer Simulation, Visualization
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Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
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Denis Dumas; James C. Kaufman – Educational Psychology Review, 2024
Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…
Descriptors: Decision Making, Creativity, Task Analysis, Psychologists
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Rebecca Y. P. Kan – Higher Education Research and Development, 2025
The in-between space ignites learning as individuals journey from dependence on the institution to independence from the institution. This space has hitherto been holistically undefined in the context of higher arts education. The study aims to explore such experiences within the lifeworld of student scholars in the fields of arts and design.…
Descriptors: Foreign Countries, Undergraduate Students, Art Education, Interior Design
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Anita Reitan; Margrethe Waage; Laurence Habib – Teaching in Higher Education, 2024
This article explores lecturers' experience of adapting, shaping and transforming teaching and learning during the COVID-19 pandemic. The study focuses on understanding the challenges and opportunities that are afforded by pandemic-induced changes in terms of digital teaching and learning and their post-pandemic implications. Empirical data were…
Descriptors: Teaching Methods, Learning Processes, COVID-19, Pandemics
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Tingzhi Han; Ling Huang; Longfei Hao – Asia-Pacific Education Researcher, 2024
This mixed methods study investigated the change types and the underlying mechanisms of Chinese undergraduates' deep learning approach at a research-oriented university in eastern China. In Study 1, the deep learning approach of 273 freshmen was assessed using R-SPQ-2F at the beginning and end of a semester. The changes were categorized into three…
Descriptors: Learning Trajectories, Learning Processes, College Freshmen, Foreign Countries
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Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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Evi Roviati; Ria Yulia Gloria; Rizki Sukma Wijaya – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
The application of effective teaching methods needs to be implemented to improve the quality of microbiology education which can empower important competencies in the current era. This study aims to analyze the application and trajectory of argumentation-based inquiry learning through the application of microbiology lectures. This research uses…
Descriptors: Learning Processes, Science Education, Microbiology, Learning Trajectories
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Rahayu, Chika; Putri, Ratu Ilma Indra; Zulkardi; Hartono, Yusuf – Journal on Mathematics Education, 2022
This research aimed to generate a learning trajectory in an introduction to early mathematics, precisely to measure learning using educational games and Realistic Mathematics Education (RME) and to describe young children's curiosity in learning early mathematics. Children need to have an understanding to take a measurement and use a learning…
Descriptors: Game Based Learning, Educational Games, Mathematics Education, Learning Processes
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Cecilia Ferm Almqvist; Ann Werner – Research Studies in Music Education, 2024
When the need of transforming and remixing music education is illuminated, fields of tensions in relation to the traditional master-apprentice model of teaching often appear. Binaries have been constructed and critiqued in research to describe tensions at various music educational levels. Some studies have also asked for a holistic,…
Descriptors: Music Education, Teaching Methods, Learning Processes, Higher Education
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Rho, Jihyun; Rau, Martina A.; Van Veen, Barry D. – International Educational Data Mining Society, 2022
Instruction in many STEM domains heavily relies on visual representations, such as graphs, figures, and diagrams. However, students who lack representational competencies do not benefit from these visual representations. Therefore, students must learn not only content knowledge but also representational competencies. Further, as learning…
Descriptors: Learning Processes, Models, Introductory Courses, Engineering Education
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I. Putu Ade Andre Payadnya; Rully Charitas Indra Prahmana; Jane-Jane Lo; Putu Ledyari Noviyanti; I. Made Dharma Atmaja – Journal on Mathematics Education, 2023
The study material on circle areas is contextually oriented and aids students in comprehending their surrounding environment. Higher-order thinking skills are imperative for the success of circular learning, as they help students grasp concepts holistically and solve concept problems. "What-if" questions can enhance students'…
Descriptors: Learning Trajectories, Questioning Techniques, Thinking Skills, Problem Solving
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