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Allison S. Theobold; Megan H. Wickstrom; Stacey A. Hancock – Journal of Statistics and Data Science Education, 2024
Despite the elevated importance of Data Science in Statistics, there exists limited research investigating how students learn the computing concepts and skills necessary for carrying out data science tasks. Computer Science educators have investigated how students debug their own code and how students reason through foreign code. While these…
Descriptors: Computer Science Education, Coding, Data Science, Statistics Education
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Patricia Domínguez-Gómez; Flavio Celis d’Amico – Informatics in Education, 2024
The creative programming language Processing can be used as a generative architectural design tool, which allows the designer to write design instructions (algorithms) and compute them, obtaining graphical outputs of great interest. This contribution addresses the inclusion of this language in the architecture curriculum, within the context of…
Descriptors: Undergraduate Students, Architectural Education, Architecture, Courseware
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Mariyam Abdulhadi; Fred Awaah; Deborah Agbanimu; Emmanuel Okyere Ekwam; Emmanuella Sefiamor Heloo – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The lecture method has been compared with teaching methods such as flip learning, cooperative learning and simulations to establish which holds the key to students' understanding of concepts. What is bereft in the education literature is its comparative efficiency with the culturo-techno contextual approach (CTCA) in the teaching of…
Descriptors: Foreign Countries, Developing Nations, Computer Science Education, Cultural Context
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Felicia Meusel; Nadine Scheller; Günter Daniel Rey; Sascha Schneider – Education and Information Technologies, 2024
Color has been investigated as a signaling cue in multimedia learning environments, guiding the learner's attention and as an emotional design element, increasing the learner's motivation and, thus, improving learning outcomes. Retrieval cues (e.g., visual cues, odor, sound) facilitating memory retrieval have been primarily investigated in…
Descriptors: Foreign Countries, Color, Student Motivation, Cues
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Seyedahmad Rahimi; Valerie J. Shute – Educational Technology Research and Development, 2024
Research fields related to learning (e.g., educational technology and learning sciences) have historically focused on what questions using traditional methods (e.g., comparing different learning tools and methods). New methodologies that are grounded in learning, engagement, and motivational theories are needed to additionally address the how…
Descriptors: Evaluation Methods, Psychometrics, Learning Processes, Educational Technology
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Shiyan Jiang; Joey Huang; Hollylynne S. Lee – Educational Technology Research and Development, 2024
Analyzing qualitative data from learning processes is considered "messy" and time consuming (Chi in J Learn Sci 6(3):271-315, 1997). It is often challenging to summarize and synthesize such data in a manner that conveys the richness and complexity of learning processes in a clear and concise manner. Moreover, qualitative data often…
Descriptors: Learning Processes, Data Analysis, Qualitative Research, Visual Aids
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William A. Bergeron; Christopher M. Parfitt; Ellen Hahn – Alabama Journal of Educational Leadership, 2024
The modern era of accountability and standards movement was ushered in by publishing "A Nation at Risk: The Imperative for Educational Reform" (1983). Accountability measures and other educational changes have increasingly consumed the principal's time, leading to the heightened importance of teacher leaders (Bryant et al., 2017).…
Descriptors: Instructional Leadership, Teaching Methods, Learning Processes, Rural Schools
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Xiaona Xia; Wanxue Qi – Education and Information Technologies, 2024
The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…
Descriptors: Graphs, MOOCs, STEM Education, Learning Processes
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Ilana Dubovi – Interactive Learning Environments, 2024
Virtual reality (VR) has been shown to induce excessive affective processing, which in turn impacts the learning process and learning outcomes. Therefore, a better understanding of emotional dynamics and how emotions are instigated while learning with VR is needed. For this purpose, the students learning process with a VR simulation was captured…
Descriptors: Nonverbal Communication, Psychological Patterns, Learner Engagement, Computer Simulation
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Yanchuan Geng; Xiaoxue Zhu; Ashley Yoon Mooi Ng – Educational Gerontology, 2024
This paper investigated teacher wellbeing in a rapidly expanding educational context of Universities of the Third Age in China. Based on the analysis of 48 metaphors innovatively elicited from 27 teacher participants, important cognitive, affective and social aspects of teaching and learning that configure teacher wellbeing have been outlined. It…
Descriptors: Teacher Welfare, Foreign Countries, Figurative Language, Teaching (Occupation)
Jessica Lee Paranczak – ProQuest LLC, 2024
Recommendations for achieving generalized instructional outcomes often overlook the capacity for generative learning. We sought to demonstrate how decontextualized and logically organized instruction would lead to derived and contextually appropriate recombinative generalization and arbitrarily applicable relational responding (AARRing) in…
Descriptors: Generalization, Children, Intellectual Disability, Developmental Disabilities
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Cheng Yong Tan – Educational Psychology Review, 2024
Socioeconomic status (SES) has been widely argued to be an important predictor of students' learning outcomes; the corollary is that low-SES students face immense challenges in their learning. The present study employed an umbrella review, comprising a thematic review and second-order meta-analysis, of 48 reviews relating SES to student learning…
Descriptors: Students, Socioeconomic Status, Learning Processes, Barriers
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Ying Ma; Chunxiang Fan; Yi Yuan; Liqun Xu; Minghui Du – International Journal of Web-Based Learning and Teaching Technologies, 2024
The wide application of big data not only provides convenience for the teaching between teachers and students, but also plays a great role in the education and training of college students. However, how to cultivate students' ability to learn English independently in the current era remains to be studied. Under the background of big data, it is…
Descriptors: English Instruction, Majors (Students), Personal Autonomy, Learning Processes
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Angela Pyle; Hanna Wickstrom; Olivia Gross; Ellen Kraszewski – Journal of Early Childhood Research, 2024
Teacher-facilitation of play is proposed as an effective method for supporting early literacy learning, however, educators remain uncertain how to balance child-autonomy in play while also directing play toward explicit academic objectives. In response, this study sought to understand how kindergarten teachers can successfully facilitate play to…
Descriptors: Kindergarten, Literacy Education, Play, Teacher Student Relationship
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Yi Zou; Xinyu Xue; Lizhen Jin; Xiao Huang; Yanbing Li – Physical Review Physics Education Research, 2024
Developing a deeper understanding of scientific concepts is one of the primary goals of science education. To improve students' conceptual understanding, it is necessary to explore the major characteristics of their learning process. Informed by previous work on conceptual understanding, this study focuses on the concept of evaporation, exploring…
Descriptors: Concept Formation, Scientific Concepts, Physics, Science Instruction
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