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Ian Thacker; Rebecca Schroeder; Sara Shields-Menard; Nickolas Goforth – International Journal of Science and Mathematics Education, 2025
To create opportunities for meaningful applications of data science for diverse students, we developed and implemented an online learning module focused on engaging students at a Hispanic Serving Institution (HSI) in an analysis of authentic soil data. Development of the module occurred over three design iterations involving interviews with 10…
Descriptors: Hispanic American Students, Minority Serving Institutions, Data Science, Undergraduate Students
Risda Putri Indriani; Tri Handayani Kurniati; Rizhal Hendi Ristanto – Journal of Science Learning, 2024
In biology learning, the object of a virus cannot be seen directly. Augmented reality (AR) technology can help visualize the object of a virus in 3D, making it easier for students to learn about viruses. Therefore, this research aims to develop an AR-based learning media product called ARVi. ARVi was created using the ADDIE model, which consists…
Descriptors: High School Students, High School Teachers, Science Instruction, Science Teachers
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