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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
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Vegard Gjerde; Sivert Hagane – Physical Review Physics Education Research, 2024
Peer Instruction gives practice in the abstract language of physics, addresses common misconceptions among students, and is more effective than traditional lecturing. However, it is not clear what makes Peer Instruction effective nor how we might improve the method. An emerging perspective is that what makes Peer Instruction effective is how it…
Descriptors: Science Instruction, Peer Teaching, Scientific Concepts, Models
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Tom Reshef-Israeli; Shulamit Kapon – Online Submission, 2024
As problems become increasingly complex, science educators need to better understand how new knowledge is constructed and applied in heterogeneous team collaborations, and how to teach students to productively engage in these processes. We discuss the emergence of insights in collaborative sensemaking and suggest a model that articulates the…
Descriptors: Comprehension, Constructivism (Learning), Teaching Methods, Learner Engagement
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Gyöngyvér Molnár; Ádám Kocsis – Studies in Higher Education, 2024
How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…
Descriptors: Academic Achievement, Predictor Variables, Higher Education, Learning Strategies
Reyhan Safak – ProQuest LLC, 2024
Structural reasoning is a combined ability to "look for structures, recognize structures, probe into structures, act upon structures, reason in terms of general structures, and see how a piece of knowledge acquired resolves a perturbation experienced" (Harel and Soto, 2017). The purpose of this study was to explore the cognitive…
Descriptors: Mathematics Instruction, Multiplication, Elementary School Students, Thinking Skills
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Yeqing Tao; Samah Ali Mohsen Mofreh; Sultan Salem – Eurasian Journal of Applied Linguistics, 2025
This study investigates the impact of perezhivanie, a concept encompassing emotional experiences and their personal significance on English-speaking proficiency and speaking anxiety among Chinese learners of English as a Foreign Language (EFL). The study focuses on the emotional and cognitive dimensions of perezhivanie to understand its dual role…
Descriptors: Language Proficiency, Undergraduate Students, English (Second Language), Second Language Instruction
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Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
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Bolger, Molly S.; Osness, Jordan B.; Gouvea, Julia S.; Cooper, Alexandra C. – CBE - Life Sciences Education, 2021
Modeling is a scientific practice that supports creative reasoning, motivates inquiry, and facilitates community sense-making. This paper explores students' perspectives on modeling in an undergraduate laboratory course, Authentic Inquiry through Modeling (AIM-Bio), in which they proposed, tested, and revised their own models. We conducted…
Descriptors: Inquiry, Active Learning, Models, Undergraduate Students
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Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
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Chang, Chi-Cheng; Chen, Yiching – Journal of Science Education and Technology, 2020
The study aimed to develop a cross-disciplinary integrative STEM (i-STEM) robotics curriculum by the thematic integration approaches of webbed and threaded models, and to understand high school students' cognitions, attitudes, and interests in robotics STEM after the instruction. The concurrent mixed methods including quantitative experimental…
Descriptors: Interdisciplinary Approach, STEM Education, Robotics, Curriculum Development
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Groth, Randall E.; Jones, Matthew; Knaub, Mary – Mathematical Thinking and Learning: An International Journal, 2018
Informal best fit lines frequently appear in school curricula. Previous research collectively illustrates that the adjective informal does not translate to cognitive simplicity. Using existing literature, we create a hypothetical framework of cognitive processes associated with studying informal best fit lines. We refine the framework using data…
Descriptors: Models, Cognitive Processes, Student Attitudes, Graphs
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Katz, Adi – Journal of Information Systems Education, 2020
Conceptual modeling of databases is a complex cognitive activity, particularly for novice database designers. The current research empirically tests a new pedagogy for this activity. It examines an instructional approach that stresses visualizing gradual transitions between levels of abstraction in different hierarchic levels of a relational…
Descriptors: Databases, Database Design, Information Science Education, Teaching Methods
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Kambouri-Danos, Maria; Ravanis, Konstantinos; Jameau, Alain; Boilevin, Jean-Marie – Early Childhood Education Journal, 2019
Children's everyday activities enable them to learn some science even before entering preschool education and children bring these ideas with them when entering education settings. Some of these ideas, or else mental representations, may not be compatible with what is generally accepted by the scientific community. This paper presents the results…
Descriptors: Science Instruction, Preschool Education, Learning Processes, Water
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Pérez-Macías, Noemí; Fernández-Fernández, José- Luis; Rúa Vieites, Antonio – Studies in Higher Education, 2020
There is a scarcity of research on the influence of structural -network ties (NT)-, cognitive -shared languages (SL) and shared visions (SV)- social capital (SC) dimensions on online students' entrepreneurial intentions (EI). This paper, drawing on the Theory of Planned Behavior (TPB), examines this influence on a sample of 302 Spanish online…
Descriptors: Online Courses, Social Networks, Computer Mediated Communication, Social Capital
Amy Graham Goodman – ProQuest LLC, 2021
The goal of learning analytics is to optimize learning and the environments in which it occurs. Since 2011, when learning analytics was defined as a separate and distinct area of academic inquiry, the literature has identified a need for research that presents evidence of effective learning analytics, as well as, learning analytics research that…
Descriptors: Metacognition, Learning Analytics, Calculus, Mathematics Instruction
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