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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
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
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