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Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
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Anthony Underwood; Aidan Sichel; Emily C. Marshall – Journal of Statistics and Data Science Education, 2024
Economics has become increasingly empirical and, alongside this shift, has come more demand for improved transparency and reproducibility in empirical economic research. In this article, we distribute a survey to almost 1500 economics faculty from the top 161 liberal arts colleges with an economics major (according to U.S. News & World Report)…
Descriptors: Teaching Methods, Economics Education, Undergraduate Students, Liberal Arts
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Burriss, Kathleen G.; Snead, Donald – School Community Journal, 2017
The purpose of this study was to understand students' perspectives on the role of homework. Middle school students (N = 506) volunteered to complete open-ended surveys describing their perceptions regarding the effectiveness of homework. Qualitative analysis revealed that students identified several instructional and noninstructional reasons for…
Descriptors: Middle School Students, Student Motivation, Program Effectiveness, Homework
Eckhardt, Scott C. – ProQuest LLC, 2017
In recent years, statistics have displayed a consistent increase in the enrollment in college programs of students with autism spectrum disorder (ASD). The research has explained that ASD college students currently face academic and social barriers as they transition to the college setting. There is reason to believe that the use of online…
Descriptors: Social Media, Community Colleges, Two Year College Students, Autism
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Shoufan, Abdulhadi; Lu, Zheng; Huss, Sorin A. – IEEE Transactions on Learning Technologies, 2015
This paper presents a web-based education platform for the visualization and animation of the digital logic design process. This includes the design of combinatorial circuits using logic gates, multiplexers, decoders, and look-up-tables as well as the design of finite state machines. Various configurations of finite state machines can be selected…
Descriptors: Visualization, Animation, Computer Simulation, Computer Science Education