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Assessing Teachers' Knowledge of How to Use Computer Programming in Science and Technology Education
Peer reviewed
Direct linkNiklas Karlsen; Ellen Karoline Henriksen; Katarina Pajchel – Journal of Science Education and Technology, 2025
Programming and computational thinking have been introduced into the curricula of several countries, also in relation to science and technology education. Preparing pre-service teachers for using programming in science education is therefore an important and relevant task. The purpose of this article is to describe what knowledge may be relevant…
Descriptors: Preservice Teacher Education, Science Education, Programming, Knowledge Level
Taskeen Hasrod; Yannick B. Nuapia; Hlanganani Tutu – Journal of Chemical Education, 2024
In order to improve the accessibility and user friendliness of an accurately pretrained stacking ensemble machine learning regressor used to predict sulfate levels (mg/L) in Acid Mine Drainage (AMD), a Graphical User Interface (GUI) was developed using Python by combining human input with ChatGPT and deployed in the Jupyter Notebook environment.…
Descriptors: Artificial Intelligence, Natural Language Processing, Educational Technology, Computer Software
Yifan Li; Anmin Liu; Runming Si; Leyan Liu; Qidong Zhao – Journal of Chemical Education, 2024
The plate and frame filtration experiment is one of the essential experiments performed by undergraduate students during their practical education. While this experiment often relies on the conventional manual recording of data and calculation, there are frequent problems with data collection because capturing transient data of filtrate volume and…
Descriptors: Internet, Automation, Undergraduate Study, College Science
Alejandra J. Magana; Joreen Arigye; Abasiafak Udosen; Joseph A. Lyon; Parth Joshi; Elsje Pienaar – International Journal of STEM Education, 2024
Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…
Descriptors: Scaffolding (Teaching Technique), Thermodynamics, Science Education, Undergraduate Study
Ethan C. Campbell; Katy M. Christensen; Mikelle Nuwer; Amrita Ahuja; Owen Boram; Junzhe Liu; Reese Miller; Isabelle Osuna; Stephen C. Riser – Journal of Geoscience Education, 2025
Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…
Descriptors: Earth Science, Undergraduate Students, Programming Languages, Computer Software
Gianmarc Grazioli; Adam Ingwerson; David Santiago Jr.; Patrick Regan; Heekun Cho – Journal of Chemical Education, 2023
Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…
Descriptors: Computation, Chemistry, Teaching Methods, Science Education
Thrall, Elizabeth S.; Lee, Seung Eun; Schrier, Joshua; Zhao, Yijun – Journal of Chemical Education, 2021
Techniques from the branch of artificial intelligence known as machine learning (ML) have been applied to a wide range of problems in chemistry. Nonetheless, there are very few examples of pedagogical activities to introduce ML to chemistry students in the chemistry education literature. Here we report a computational activity that introduces…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Science Education
Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
Angeli, Charoula M.; Jaipal-Jamani, Kamini – AERA Online Paper Repository, 2017
In an era where computational thinking is regarded as a basic skill for the 21st century that needs to be taught across the K-12 curriculum, research shows that teacher education programs do not adequately prepare preservice teachers to promote computational thinking skills in classroom teaching. Accordingly, the present study contributes to the…
Descriptors: Scaffolding (Teaching Technique), Programming, Robotics, Preservice Teachers
Nathan A. Quarderer; Leah Wasser; Anne U. Gold; Patricia Montaño; Lauren Herwehe; Katherine Halama; Emily Biggane; Jessica Logan; David Parr; Sylvia Brady; James Sanovia; Charles Jason Tinant; Elisha Yellow Thunder; Justina White Eyes; LaShell Poor Bear/Bagola; Madison Phelps; Trey Orion Phelps; Brett Alberts; Michela Johnson; Nathan Korinek; William Travis; Naomi Jacquez; Kaiea Rohlehr; Emily Ward; Elsa Culler; R. Chelsea Nagy; Jennifer Balch – Journal of Statistics and Data Science Education, 2025
Today's data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world's most pressing environmental challenges. Despite the importance of these skills, Earth and…
Descriptors: Electronic Learning, Earth Science, Environmental Education, Science Education
Ayalew, Yirsaw; Tshukudu, Ethel; Lefoane, Moemedi – African Journal of Research in Mathematics, Science and Technology Education, 2018
One of the challenges encountered in programming courses offered at first year level is high failure rate, which is a serious concern to lecturers and university management. To address the issue of high failure rate, it is important to have a clear understanding of the factors that may affect performance. This study investigates the effect of…
Descriptors: Foreign Countries, College Freshmen, Programming, Computer Science Education
Kaya, Erdogan; Newley, Anna; Yesilyurt, Ezgi; Deniz, Hasan – Journal of College Science Teaching, 2020
With the release of the Next Generation Science Standards (NGSS), assessing K-12 science teachers' self-efficacy in Computational Thinking (CT) is an important research gap to study. Bandura defines self-efficacy as awareness of the individual's potential and capabilities to accomplish a goal. Teaching efficacy beliefs is a significant identifier…
Descriptors: Thinking Skills, Computation, Self Efficacy, Preservice Teachers
Download full textKirikkaya, Esma Bulus; Basaran, Billur – European Journal of Educational Research, 2019
In this research, After I have realized some technological applications in the course of general physics laboratory II of the science teacher program, this research aims to examine the effects of the students' attitudes towards technology and the information of the communication technology (ICT) with the mixed method. For this application, after…
Descriptors: Physics, Science Education, Science Teachers, Teacher Education Programs
Álvarez-Rúa, Carmen; Borge, Javier – Journal of Chemical Education, 2016
Thermodynamic processes are complex phenomena that can be understood as a set of successive stages. When treating processes, classical thermodynamics (and most particularly, the Gibbsian formulation, predominantly used in chemistry) only pays attention to initial and final states. However, reintroducing the notion of process is absolutely…
Descriptors: Undergraduate Study, Science Education, Chemistry, Thermodynamics
Sánchez, Carles; Ramos, Oriol; Márquez, Patricia; Marti, Enric; Rocarias, Jaume; Gil, Debora – Journal of Technology and Science Education, 2015
The first years in engineering degree courses are usually made of large groups with a low teacher-student ratio. Overcrowding in classrooms hinders continuous assessment much needed to promote independent learning. Therefore, there is a need to apply some kind of automatic evaluation to facilitate the correction of exercises outside the classroom.…
Descriptors: Integrated Learning Systems, Databases, Programming Languages, Comparative Analysis
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