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Nurgizat, Yerkebulan; Balbayev, Gani; Bakhtiyar, Balzhan – International Society for Technology, Education, and Science, 2021
This paper presents strength and thermal studies, as well as an analysis of the design material for the development of a nanosatellite model. By using the SolidWorks software environment, an effective solid-state finite-element model of a nanosatellite are developed, on the basis of which the stress-strain state of the nanosatellite is analyzed,…
Descriptors: Models, Satellites (Aerospace), College Students, Teamwork
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Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…
Descriptors: Science Instruction, Prediction, Models, Interaction
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Zhou, Guojing; Moulder, Robert G.; Sun, Chen; D'Mello, Sidney K. – International Educational Data Mining Society, 2022
In collaborative problem solving (CPS), people's actions are interactive, interdependent, and temporal. However, it is unclear how actions temporally relate to each other and what are the temporal similarities and differences between successful vs. unsuccessful CPS processes. As such, we apply a temporal analysis approach, Multilevel Vector…
Descriptors: Cooperative Learning, Problem Solving, College Students, Physics
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Slater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
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Salinas-Hernández, Ulises; Moreno-Armella, Luis; Miranda, Isaias – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
In this article we present and discuss some theoretical and methodological elements of a wider research that analyzes the teaching practice of two teachers novice and expert from a semiotic theoretical approach. The conceptual framework of this work allows for addressing the epistemological and didactic dimensions of the teaching practice. Three…
Descriptors: Teaching Methods, Beginning Teachers, Experienced Teachers, Models
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Albacete, Patricia; Jordan, Pamela; Lusetich, Dennis; Katz, Sandra; Chounta, Irene-Angelica; McLaren, Bruce M. – Grantee Submission, 2018
This paper discusses how a dialogue-based tutoring system makes decisions to proactively scaffold students during conceptual discussions about physics. The tutor uses a student model to predict the likelihood that the student will answer the next question in a dialogue script correctly. Based on these predictions, the tutor will, step by step,…
Descriptors: Intelligent Tutoring Systems, Scaffolding (Teaching Technique), Physics, Science Instruction
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Blobstein, Ariel; Gal, Kobi; Kim, Hyunsoo Gloria; Facciotti, Marc; Karger, David; Sripathi, Kamali – International Educational Data Mining Society, 2022
Emoji are commonly used in social media to convey attitudes and emotions. While popular, their use in educational contexts has been sparsely studied. This paper reports on the students' use of emoji in an online course forum in which students annotate and discuss course material in the margins of the online textbook. For this study, instructors…
Descriptors: Computer Mediated Communication, Nonverbal Communication, Social Media, Online Courses
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Hoernle, Nicholas; Gal, Kobi; Grosz, Barbara; Protopapas, Pavlos; Rubin, Andee – International Educational Data Mining Society, 2018
Simulations that combine real world components with interactive digital media provide a rich setting for students with the potential to assist knowledge building and understanding of complex physical processes. This paper addresses the problem of modeling the effects of multiple students' simultaneous interactions on the complex and exploratory…
Descriptors: Computer Simulation, Student Behavior, Interaction, Markov Processes
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Kudenko, Irina; Hoyle, Pauline; Dunn, Ben – Contributions from Science Education Research, 2019
This chapter investigates the impact and relative advantages of two engagement models for delivering science-specific PD: school-led partnerships and external-led PD delivered by STEM experts. Traditionally professional development (PD) led by professional education experts has been used to improve the quality of science teaching and learning in…
Descriptors: Partnerships in Education, School Role, Elementary School Science, Science Instruction
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Omar, Kassem Ayman; Mozol, Vivian – Papers on Postsecondary Learning and Teaching, 2020
Spatial ability is an important tool in chemistry and this ability can be improved. Various technologies have been used to improve spatial ability. However, it is not clear if viewing technologies should take the place of the model kit; the traditional method of learning about molecular structures. Our research aims to address this gap. In our…
Descriptors: Technology Integration, Computer Simulation, Handheld Devices, Telecommunications
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Eagle, Michael; Corbett, Albert; Stamper, John; Mclaren, Bruce – International Educational Data Mining Society, 2018
In this work we use prior to tutor-session data to generate an individualized student knowledge model. Intelligent learning environments use student models to individualize curriculum sequencing and help messages. Researchers decompose the learning tasks into sets of Knowledge Components (KCs) that represent individual units of knowledge; the…
Descriptors: Individualized Instruction, Models, Data Analysis, Knowledge Level
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Beck, Christina; Nerdel, Claudia – Contributions from Science Education Research, 2019
Dealing with multiple external representations (MERs) in science education is the key to students' understanding of science communication and becoming scientifically literate. It is generally accepted that learning scientific concepts, processes, and principles requires understanding and interacting with MERs. Science can be understood as a…
Descriptors: Biology, Science Instruction, Models, Visual Aids
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Lubiano, Michael Leonard D.; Magpantay, Marife S. – International Society for Technology, Education, and Science, 2021
This study enhanced the 7E instructional model towards enriching the science inquiry skills of senior high school learners in General Chemistry 1. A total of 136 Grade 12 learners enrolled in the Science, Technology, Engineering, and Mathematics (STEM) strand participated in the study. The study was composed of three phases. In Phase I, the…
Descriptors: Foreign Countries, Science Instruction, Teaching Methods, Inquiry
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Olney, Andrew M. – Grantee Submission, 2021
This paper explores a general approach to paraphrase generation using a pre-trained seq2seq model fine-tuned using a back-translated anatomy and physiology textbook. Human ratings indicate that the paraphrase model generally preserved meaning and grammaticality/fluency: 70% of meaning ratings were above 75, and 40% of paraphrases were considered…
Descriptors: Translation, Language Processing, Error Analysis (Language), Grammar
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Zangori, Laura; Peel, Mandy; Kinslow, Andrew T.; Friedrichsen, Patricia J.; Sadler, Troy D. – AERA Online Paper Repository, 2017
Carbon cycling is a key natural system that requires robust science literacy to understand how and why climate change is occurring. Studies show that students tend to compartmentalize carbon movement within plants and animals and are challenged to make sense of how carbon cycles on a global scale. Studies also show that students hold faulty models…
Descriptors: Scientific Literacy, Climate, Ecology, Conservation (Environment)
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