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Stephen J. Gentles; Elise C. Ng-Cordell; Michelle C. Hunsche; Alana J. McVey; E. Dimitra Bednar; Michael G. DeGroote; Yun-Ju Chen; Eric Duku; Connor M. Kerns; Laura Banfield; Peter Szatmari; Stelios Georgiades – Autism: The International Journal of Research and Practice, 2024
Researchers increasingly employ longitudinal trajectory methods to understand developmental pathways of people on the autism spectrum across the lifespan. By assessing developmental or health-related outcome domains at three or more timepoints, trajectory studies can characterize their shape and varying rates of change over time. The purpose of…
Descriptors: Autism Spectrum Disorders, Learning Trajectories, Children, Outcome Measures
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Nur W. Rahayu; Agung Nugroho Adi; Ridi Ferdiana; Sri Suning Kusumawardani – Turkish Online Journal of Distance Education, 2024
Students benefit from a nonlinear learning path, also known as a nonsequential learning path, because it allows them to control the pace and sequence of their learning. However, the dynamics of a nonlinear learning path, particularly within an open learning environment like MOOCs, remain underexplored. The current study aims to map out various…
Descriptors: Learning Trajectories, Open Education, MOOCs, Educational Research
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Hui Jin; Hyo Jeong Shin; Dante Cisterna – International Journal of Science and Mathematics Education, 2024
Learning progressions (LPs) are cognitive models that describe the development of scientific knowledge and practices in students. They are constructed based on learning theories and student data. Scholars have advocated for using LPs to align curriculum, instruction, and assessment into a coherent system, and by doing so, promote productive…
Descriptors: Educational Research, Cognitive Style, Evaluation Methods, Learning Trajectories
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Abdullahi Yusuf; Norah Md Noor – Smart Learning Environments, 2024
In recent years, programming education has gained recognition at various educational levels due to its increasing importance. As the need for problem-solving skills becomes more vital, researchers have emphasized the significance of developing algorithmic thinking (AT) skills to help students in program development and error debugging. Despite the…
Descriptors: Students, Programming, Algorithms, Problem Solving
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Christensen, Dana – Journal of Science Education and Technology, 2023
Current environmental problems are the primary focus for environmental science students and researchers. Sustainable environmental solutions require interdisciplinary thought processes, which pose difficulty to both students and the public. Computational thinking is an emerging term emphasized by progressive science curricula. Computational…
Descriptors: Computation, Thinking Skills, Environmental Education, Sustainability
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Teresa Ribas-Prats; Gaël Cordero; Diana Lucia Lip-Sosa; Sonia Arenillas-Alcón; Jordi Costa-Faidella; María Dolores Gómez-Roig; Carles Escera – Journal of Speech, Language, and Hearing Research, 2023
Purpose: The aim of the present study is to characterize the maturational changes during the first 6 months of life in the neural encoding of two speech sound features relevant for early language acquisition: the stimulus fundamental frequency (f[subscript o]), related to stimulus pitch, and the vowel formant composition, particularly F[subscript…
Descriptors: Infants, Cognitive Processes, Speech, Child Development
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Cut Khairunnisak; Rahmah Johar; Suci Maulina; Cut Morina Zubainur; Erni Maidiyah – International Journal of Mathematical Education in Science and Technology, 2024
This study aims to analyse teachers' understanding of realistic mathematics education (RME) through a blended workshop on designing an RME-based learning trajectory. Data was collected via online pre-test and post-test, involving mathematics teachers of junior high schools in Banda Aceh, Indonesia. The tests were accompanied by interviews, chats…
Descriptors: Mathematics Education, Professional Development, Junior High School Teachers, Foreign Countries
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Harm Biemans; Ellen Klatter; Hans Mariën; Arjan van der Meijden; Frank Kreutz – International Journal for Research in Vocational Education and Training, 2024
Purpose: During the last decade, new continuing learning pathways have been designed and implemented in the Dutch Vocational Education and Training (VET) column aiming to foster students' transitions between successive educational levels. Prototypical examples of such continuing learning pathways are the Green Lyceum (GL) and the Technical Talent…
Descriptors: Foreign Countries, Vocational Education, Learning Trajectories, Talent Development
Kristen Tripet – Mathematics Education Research Group of Australasia, 2024
Despite substantial research exploring multiplicative thinking and students' difficulty in the domain, the topic of multi-digit multiplication is under-researched. In this paper, I share a learning trajectory for multi-digit multiplication that combined social and cognitive perspectives of learning. Using Design Research methods and involving 45…
Descriptors: Multiplication, Mathematics Instruction, Teaching Methods, Learning Trajectories
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Sarah Roller Dyess; Katherine Ariemma Marin; Elizabeth Petit Cunningham – School Science and Mathematics, 2024
Noticing is an essential skill for all teachers of mathematics. Mathematics teacher educators have utilized a variety of tools to practice and develop preservice teachers' (PSTs') ability to notice, which we extend to include photographs and learning trajectories. This article explores PSTs' noticing skills by analyzing work samples from a methods…
Descriptors: Preservice Teachers, Observation, Photography, Formative Evaluation
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Mingfeng Xue; Mark Wilson – Applied Measurement in Education, 2024
Multidimensionality is common in psychological and educational measurements. This study focuses on dimensions that converge at the upper anchor (i.e. the highest acquisition status defined in a learning progression) and compares different ways of dealing with them using the multidimensional random coefficients multinomial logit model and scale…
Descriptors: Learning Trajectories, Educational Assessment, Item Response Theory, Evolution
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Élodie Marion; Laurence Tchuindibi – British Educational Research Journal, 2024
To complement previous research investigating the educational attainment of young people in out-of-home care reporting lower educational outcomes and risk factors, a more comprehensive approach is necessary. Our objective with this article is to better understand the learning careers of young people in residential care. That includes documenting…
Descriptors: Residential Care, Foreign Countries, Learning Experience, Adolescents
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Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
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Shen Ba; Xiao Hu; David Stein; Qingtang Liu – British Journal of Educational Technology, 2024
Accurate assessment and effective feedback are crucial for cultivating learners' abilities of collaborative problem-solving and critical thinking in online inquiry-based discussions. Based on quantitative content analysis (QCA), there has been a methodological evolvement from descriptive statistics to sequential mining and to network analysis for…
Descriptors: Electronic Learning, Discussion, Learning Trajectories, Thinking Skills
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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
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