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Gus Greivel; Alexandra Newman; Maxwell Brown; Kelly Eurek – INFORMS Transactions on Education, 2024
Industrial-scale models require considerable setup time; hence, once built, they are used in myriad ways to consider closely related cases. In practice, the code for these models frequently evolves without appropriate notational choices, largely as a result of the lengthy development time of, and the number of individuals contributing to, their…
Descriptors: Models, Best Practices, Mathematical Concepts, Energy
Abdullah Alshawi – ProQuest LLC, 2023
The digital age and global technological advancement have brought about unprecedented changes in a wide range of global sectors. The educational sector, as a sector that produces a wide range of professionals, necessitates numerous changes and advancements in educational administration. The introduction and integration of boot camps is one method…
Descriptors: Information Technology, Coding, Marketing, Models
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Dray, Kate E.; Dreyer, Kathleen S.; Lucks, Julius B.; Leonard, Joshua N. – Chemical Engineering Education, 2023
We present an educational unit to teach computational modeling, a vital part of chemical engineering curricula, through the lens of synthetic biology. Lectures, code, and homework questions provide conceptual and practical introductions to each computational method involved in the model development process, along with perspectives on how methods…
Descriptors: Engineering Education, Chemical Engineering, Teaching Methods, Units of Study
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Odden, Tor Ole B.; Silvia, Devin W.; Malthe-Sørenssen, Anders – Journal of Research in Science Teaching, 2023
This article reports on a study investigating how computational essays can be used to help students in higher education STEM take up disciplinary epistemic agency--cognitive control and responsibility over one's own learning within the scientific disciplines. Computational essays are a genre of scientific writing that combine live, executable…
Descriptors: Computation, Essays, Undergraduate Students, STEM Education
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Karademir Coskun, Tugra – Interactive Learning Environments, 2022
In this research, robot training was conducted with teacher candidates in the department of special education, and the effectiveness of robot training was analyzed at the end of the training program. The design of the study is phenomenology. The study has been carried out with 44 teacher candidates from special education, selected by a purposeful…
Descriptors: Robotics, Training, Preservice Teachers, Models
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Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2022
National and state science learning standards urge K-12 educators to offer authentic Science, Technology, Engineering, and Mathematics learning experiences. One way to fulfill this goal is to prepare preservice science teachers to integrate computer science skills, such as coding, into science education learning contexts that can benefit from it.…
Descriptors: Preservice Teachers, Science Teachers, Coding, Simulation
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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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Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
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Ho, Chun-Heng; Zhang, Hang-qin; Li, Juan; Zhang, Min-quan – International Journal of Distance Education Technologies, 2023
Digital education has recently become a mainstream education model. Despite digital education's increasing popularity, there remain issues when it comes to teacher-student interactions in digital space, which have made it impossible for this model to achieve the same teaching quality as traditional in-person education. Compared with other academic…
Descriptors: Technology Uses in Education, Electronic Learning, Teacher Student Relationship, Interaction
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Jescovitch, Lauren N.; Scott, Emily E.; Cerchiara, Jack A.; Merrill, John; Urban-Lurain, Mark; Doherty, Jennifer H.; Haudek, Kevin C. – Journal of Science Education and Technology, 2021
We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…
Descriptors: Science Instruction, Coding, Artificial Intelligence, Man Machine Systems
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Cacciamani, Stefano; Perrucci, Vittore; Khanlari, Ahmad – Educational Technology Research and Development, 2018
The aim of this study was to develop a coding scheme rooted in the Knowledge Building model, named Conversational Functions for Knowledge Building (CF4KB), to analyze students' interactions in an online undergraduate course. In order to develop the coding scheme, we analyzed students discourse and identified the kinds of "Conversational…
Descriptors: Foreign Countries, Coding, Online Courses, Interaction
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Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
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Baker-Doyle, Kira J. – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2018
This article is a commentary essay that uses the connected learning framework (Ito et al., 2013) as a lens to explore the relationship between making, coding, and critical literacy in the context of literacy teacher education. Critical literacy theorists have argued that it is important to understand the perspective and positionality of an author…
Descriptors: Coding, Programming, Computer Science Education, Reflection
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Sardone, Nancy B. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2019
Opportunities to learn how to develop engaging learning experiences are vital for preservice teachers. This article describes an in-class modeling activity, provides assignment guidelines, and includes examples of candidates' completed tasks when developing technology-integrated instruction using Quick Response (QR) codes. The content of…
Descriptors: Learner Engagement, Preservice Teachers, Technology Integration, Models
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