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Full-Text Articles in Education
Using Chatgpt With Novice Arduino Programmers: Effects On Performance, Interest, Self-Efficacy, And Programming Ability, Donald M. Johnson, Will Doss, Christopher M. Estepp
Using Chatgpt With Novice Arduino Programmers: Effects On Performance, Interest, Self-Efficacy, And Programming Ability, Donald M. Johnson, Will Doss, Christopher M. Estepp
Journal of Research in Technical Careers
A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n =17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming, Arduino programming self-efficacy, Arduino programming posttest scores, and types of programming errors. Students were undergraduates in an introductory agricultural systems technology course in Fall 2023. The results indicated no significant (p < .10) differences between groups for programming rubric scores (p = .50) or interest in Arduino programming (p = .50). There were significant differences for Arduino programming self-efficacy, (p = .03, Cohen’s d = 0.75) and Arduino posttest scores, (p = .03, Cohen’s d = 0.76); students in the self-programming group scored significantly higher on both measures. Analysis of students’ errors indicated the ChatGPT group made significantly (p < .01) more program punctuation errors. These results indicated novice students writing their own programs developed greater Arduino programming self-efficacy and programming ability than novice students using ChatGPT. Nevertheless, ChatGPT may still play an important role in assisting novices to write microcontroller programs.
The Diffusion Of Artificial Intelligence/Machine Learning Methods And Data Analytics Into An Undergraduate Nursing Research Course, Mary Anne Schultz
The Diffusion Of Artificial Intelligence/Machine Learning Methods And Data Analytics Into An Undergraduate Nursing Research Course, Mary Anne Schultz
Q2S Enhancing Pedagogy
The project is the adoption of principles of Artificial Intelligence (AI)/Machine Learning and Data Analytics into a traditional nursing research (hypothesis testing) course. Necessitated by the recent entrance of “Big Data” use in health care, there is an urgent need to inject an understanding of the AI/ML techniques necessary to extract, organize and derive meaning from this huge amount of evidence in clinical decision-making. In fact, our department recently approved the adoption of Precision Health (PH) (the clinical use of the plethora of highly-individualized data in health & medical decisions) principles into six undergraduate courses, NURS 4222 (Nursing Research & …