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Direct linkTaskeen 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
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
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
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
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
Williams, Julie Ann Stuart; Stanny, Claudia J.; Reid, Randall C.; Hill, Christopher J.; Rosa, Katie Martin – Journal of Education for Business, 2015
Frequently in Management Science courses, instructors focus primarily on teaching students the mathematics of linear programming models. However, the ability to discuss mathematical expressions in business terms is an important professional skill. The authors present an analysis of student abilities to discuss management science concepts through…
Descriptors: Educational Practices, Mathematical Applications, Programming, Administrator Education
Miwa, Kazuhisa; Morita, Junya; Nakaike, Ryuichi; Terai, Hitoshi – Interactive Learning Environments, 2014
Cognitive modelling is one of the representative research methods in cognitive science. It is believed that creating cognitive models promotes learners' meta-cognitive activities such as self-monitoring and reflecting on their own cognitive processing. Preceding studies have confirmed that such meta-cognitive activities actually promote learning…
Descriptors: Metacognition, Models, Reflection, Instructional Design
Walsh, John P.; Sun, Jerry Chih-Yuan; Riconscente, Michelle – CBE - Life Sciences Education, 2011
Digital technologies can improve student interest and knowledge in science. However, researching the vast number of websites devoted to science education and integrating them into undergraduate curricula is time-consuming. We developed an Adobe ColdFusion- and Adobe Flash-based system for simplifying the construction, use, and delivery of…
Descriptors: Curriculum Development, Undergraduate Students, Student Interests, Online Courses
Pasko, Alexander; Adzhiev, Valery; Malikova, Evgeniya; Pilyugin, Victor – Journal of Information Technology Education: Innovations in Practice, 2013
Modern education technologies are destined to reflect the realities of a modern digital age. The juxtaposition of real and synthetic (computer-generated) worlds as well as a greater emphasis on visual dimension are especially important characteristics that have to be taken into account in learning and teaching. We describe the ways in which an…
Descriptors: Educational Technology, Computer Uses in Education, Models, Visual Aids
Download full textNunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2015
These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…
Descriptors: Conference Papers, Failure, Electronic Learning, Success
Stav, John B.; Tsalapatas, Hariklia – Electronic Journal of e-Learning, 2004
NS-eCMS is developing an open web-based content management, communication, and collaboration eLearning platform that addresses the specialized requirements for distance education in natural sciences. The federated architecture enables straightforward development, exchange, and publication of material through open standards like XML/MathML. The…
Descriptors: Electronic Learning, Natural Sciences, Distance Education, Technology Uses in Education
