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Showing 1 to 15 of 138 results Save | Export
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Paul Engelschalt; Tom Bielik; Moritz Krell; Dirk Krüger; Annette Upmeier zu Belzen – International Journal of Science Education, 2024
The development of metaknowledge about models (MKM) and metaknowledge about the modelling process (MKP) are important in pre-service science teachers (PSTs) education. MKM refers to knowledge about the model's entities and its purposes, while MKP refers to knowledge about the components and structure of the modelling process. Assessing MKM and MKP…
Descriptors: Preservice Teachers, Knowledge Level, Epistemology, Models
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Kwaku Adu-Gyamfi; Kayla Chandler; Anthony Thompson – School Science and Mathematics, 2025
The challenge posed by algebra story problems creates a significant hurdle for many students, transcending both the mathematical content of the problem and the specific instructional background received. This study offers a distinctive contribution to the existing literature by focusing on the cognitive conditions essential for comprehension in…
Descriptors: Algebra, Mathematics Instruction, Barriers, Cognitive Processes
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Agustina Ammaturo; Jazmín Cevasco – Reading Psychology, 2024
The purpose of this study was to examine the role of the causal connectivity of the statements ("low-medium-high"), elaboration question condition ("focused on the identification of main ideas-focused on the identification of speakers' emotions") and the modality of presentation of discourse ("oral-written") in the…
Descriptors: Discourse Analysis, Causal Models, Questioning Techniques, Comprehension
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Megan H. Wickstrom; Hyunyi Jung – Journal for Research in Mathematics Education, 2024
A growing consensus holds that preservice K-8 teachers (PSTs) need to experience the modeling process as learners to understand it and envision teaching modeling in their future classrooms. We examine this recommendation by exploring how PSTs construct models and how collaborative learning practices influence them in revising and refining their…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematical Models, Preservice Teachers
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Fadime Ulusoy; Hanife Merve Erdogan; Nagihan Haliloglu; Damla Ceren Bakirci – International Journal for Mathematics Teaching and Learning, 2025
Mathematization is a critical competency in the modelling process. This study aims to elicit prospective mathematics teachers' mathematizing through the analysis of their solution approaches to a modelling problem related to the bales of straw. This study was conducted with 75 fourth-year prospective mathematics teachers (PMTs) enrolled in a…
Descriptors: Mathematics Instruction, Mathematical Models, Preservice Teachers, Teacher Education Programs
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William Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
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Hochmuth, Reinhard – International Journal of Mathematical Education in Science and Technology, 2022
The systematic design and analysis of tasks which can be implemented in first-year university courses and point to advanced inner- and extra-mathematically rich issues and their rationales is an open problem in the didactics of mathematics in higher education. Potentials of such tasks can be seen with regard to learning processes in the first year…
Descriptors: Undergraduate Students, Mathematics Instruction, Task Analysis, Teaching Methods
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Molina-Toro, Juan Fernando; Rendón-Mesa, Paula Andrea; Villa-Ochoa, Jhony Alexander – Education and Information Technologies, 2022
This article presents an analysis of contradictions expressed by pre-service mathematics teachers when performing two modeling tasks using their own technological devices. The study is based on theoretical aspects of contradictions in the fields of expansive learning and modeling with digital technologies. Technology and modeling tasks were…
Descriptors: Preservice Teachers, Mathematical Models, Educational Technology, Foreign Countries
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Nuria Climent; Luis Carlos Contreras; Miguel Montes; Miguel Ribeiro – ZDM: Mathematics Education, 2024
This paper studies the knowledge developed by a group of sixty-two pre-service primary teachers during a training session on the definition of a polygon and the mathematical practice of defining. We explore the knowledge developed by pre-service teachers when they carry out a series of training tasks oriented around the practice of defining with…
Descriptors: Models, Task Analysis, Teaching Methods, Mathematics Instruction
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Luke A. Wilczek; Alannah J. Clarke; Maria del Carmen Guerrero Martinez; Jesse B. Morin – Journal of Chemical Education, 2022
To remain globally competitive, education in the United States must focus on retaining students in science, technology, engineering, and mathematics (STEM). As laboratory courses have the potential to be powerful attractors or deterrents to a field, developing effective laboratory pedagogies is important to retain students in STEM. A course-based…
Descriptors: Organic Chemistry, Science Instruction, Teaching Methods, Student Research
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Sirnoorkar, Amogh; Bergeron, Paul D. O.; Laverty, James T. – Physical Review Physics Education Research, 2023
Researchers in physics education have advocated both for including modeling in science classrooms as well as promoting student engagement with sensemaking. These two processes facilitate the generation of new knowledge by connecting to one's existing ideas. Despite being two distinct processes, modeling is often described as sensemaking of the…
Descriptors: Physics, Science Instruction, Learner Engagement, Student Attitudes
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Price, J. A.; Olver, J. – Journal of Biological Education, 2023
Most undergraduate students do not have practical experience working with model organisms despite having theoretical knowledge of their importance. This practical was developed to offer students experience working with three species of nematode, including "Caenorhabditis elegans." In the first task, students prepare slides of three…
Descriptors: Undergraduate Students, Science Instruction, Models, Preferences
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Sand, Odd Petter; Lockwood, Elise; Caballero, Marcos D.; Mørken, Knut – Digital Experiences in Mathematics Education, 2022
We present here the lessons learned by iteratively designing a tutorial for first-year university students using computer programming to work with mathematical models. Alternating between design and implementation, we used video-taped task interviews and classroom observations to ensure that the design promoted student understanding. The final…
Descriptors: College Freshmen, Mathematical Models, Video Technology, Computer Science Education
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Logacev, Pavel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
A number of studies have found evidence for the so-called "ambiguity advantage," that is, faster processing of ambiguous sentences compared with unambiguous counterparts. While a number of proposals regarding the mechanism underlying this phenomenon have been made, the empirical evidence so far is far from unequivocal. It is compatible…
Descriptors: Phrase Structure, Accuracy, Ambiguity (Semantics), Sentences
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Broley, Laura; Hardy, Nadia – International Journal of Research in Undergraduate Mathematics Education, 2022
Research using the Anthropological Theory of the Didactic suggests different models of how student learning may evolve in the progression of undergraduate mathematics coursework: from elementary courses in Calculus to more advanced courses in Analysis. An ideal model suggests that the theory-driven learning in the latter serves as a natural…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Task Analysis
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