A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education DOI Creative Commons
Mirella Veras, Joseph-Omer Dyer, Holly Shannon

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Generative artificial intelligence (AI) integrated programs such as Chat Pre-trained Transformers (ChatGPT) are becoming more widespread in educational settings, with mounting ethical and reliability concerns regarding its usage. This paper explores the experiences, perceptions, usability of ChatGPT undergraduate health sciences students. Twenty-seven students at Carleton University (Canada) were enrolled a crossover randomized controlled trial study from Health Sciences course during Fall 2023 academic term. The intervention condition involved use ChatGPT-3.5, whereas control using conventional web-based tools. Technology was compared between ChatGPT-3.5 traditional tools questionnaires. Focus group discussions conducted seven to further elaborate on student perceptions experiences. Reflexive thematic analysis employed identify themes focus data. Easiness learnability for personal perception quick towards significantly higher, online Systems Usability Scale. Qualitative results highlighted strong benefits being tool increased overall productivity brainstorming. However, identified challenges associated accuracy, about integrity. Despite positive by students, an explicit need development policies, procedures regulations remains. An established framework best practices usage AI within science education is necessary. will ensure accountability users lead effective integration technologies into settings.

Language: Английский

Human-Inspired Decision-Making in AI: Leveraging Insights from Visual Perception for Real-Time Sensor Data Processing DOI Open Access

Oto Težak,

Darko Hercog, Mitja Truntič

et al.

Published: July 25, 2024

This paper introduces a novel decision-making approach grounded in insights into human visual perception of change. Modern technologies such as internet things (IoT) provide us with large amounts sensor data that need to be processed real time and decisions made high degree accuracy reliability. Artificial intelligence (AI) methods are welcome this context upgraded meet actual challenges. While modern computing capabilities facilitate rapid processing, the real-time demands vast necessitate swift responses across cyber chain, often leading compromises solution quality circumvent combinatorial search complexities. Determining adequacy entails varied approaches, relying on heuristic methodologies. We illustrate our original an example selected detail differential evolution algorithm, where we have make decision adopt best so far. propose inspired by perceptual features exploits Weber-Fechner law emulate judgements, offers promising way improve making AI applications requirements fulfillment. Our proposed methodology demonstrates applicability diverse scenarios involving numerical data, effectively mirroring abilities.

Language: Английский

Citations

1

ChatGPT in higher education: Investigating bachelor and master students’ expectations towards AI tool DOI
Artur Strzelecki

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Language: Английский

Citations

1

A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education DOI Creative Commons
Mirella Veras, Joseph-Omer Dyer, Holly Shannon

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Generative artificial intelligence (AI) integrated programs such as Chat Pre-trained Transformers (ChatGPT) are becoming more widespread in educational settings, with mounting ethical and reliability concerns regarding its usage. This paper explores the experiences, perceptions, usability of ChatGPT undergraduate health sciences students. Twenty-seven students at Carleton University (Canada) were enrolled a crossover randomized controlled trial study from Health Sciences course during Fall 2023 academic term. The intervention condition involved use ChatGPT-3.5, whereas control using conventional web-based tools. Technology was compared between ChatGPT-3.5 traditional tools questionnaires. Focus group discussions conducted seven to further elaborate on student perceptions experiences. Reflexive thematic analysis employed identify themes focus data. Easiness learnability for personal perception quick towards significantly higher, online Systems Usability Scale. Qualitative results highlighted strong benefits being tool increased overall productivity brainstorming. However, identified challenges associated accuracy, about integrity. Despite positive by students, an explicit need development policies, procedures regulations remains. An established framework best practices usage AI within science education is necessary. will ensure accountability users lead effective integration technologies into settings.

Language: Английский

Citations

0