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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
Christine Eith; Denise Zawada – Impacting Education: Journal on Transforming Professional Practice, 2025
This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…
Descriptors: Doctoral Programs, Artificial Intelligence, Technology Integration, Statistics Education
Paz, Concepción; Suárez, Eduardo; Cabarcos, Adrián; Gil, Christian – International Association for Development of the Information Society, 2019
Fluid Mechanics is one of the most complex branches of science to learn. Traditionally, it has been taught from a positivism point of view. However, the latest technologies have led to the creation of new educational tools based on a constructivism approach as a complement to conventional teaching. This paper addresses the development of a course…
Descriptors: Teaching Methods, Science Instruction, Learning Theories, Constructivism (Learning)
Liu, Xiaolei; Liu, Haitao; Bao, Zhen; Ju, Bo; Wang, Zhenghong – Computers & Education, 2010
Self-testing is a means to check learning effect. Besides time-space restriction, there are many deficiencies in traditional offline self-testing. With the development of information technology, learners can have self-testing on the Internet. Self-testing on Internet, namely, web-based self-testing, overcomes time-space limitation of traditional…
Descriptors: Feedback (Response), Constructivism (Learning), Social Environment, Testing
Cavus, Nadire; Ibrahim, Dogan – Journal of Educational Computing Research, 2007
The development of collaborative studies in learning has led to a renewed interest in the field of Web-based education. In this experimental study a highly interactive and collaborative virtual teaching environment has been created by supporting Moodle LMS with collaborative learning tool GREWPtool. The aim of this experimental study has been to…
Descriptors: Internet, Programming Languages, Web Based Instruction, Computer Software
Moor, Brian D.; Deek, Fadi P. – Journal of Information Technology Education, 2006
Few beginners find learning to program easy. There are many factors at work in this phenomenon with some being simply inherent in the subject itself, while others have more to do with deficiencies in learning methods and resources. As a result, many programming environments, software applications, and learning tools have been developed to address…
Descriptors: Constructivism (Learning), Visual Learning, Visual Aids, Visualization

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