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Misconceptions, Pragmatism, and Value Tensions: Evaluating Students' Understanding and Perception of Generative AI for Education

Project Overview

This document explores undergraduate students' perceptions and applications of generative AI (GenAI) in education, revealing a lack of consensus regarding its role in higher learning. Students acknowledge the efficiency and potential for personalized learning that GenAI can provide, yet they also express significant concerns about ethical dilemmas, including issues of plagiarism, dependency on technology, and the potential negative impact on their learning processes. Many students hold misconceptions about GenAI, often confusing it with simpler digital tools or search engines, which indicates a need for better understanding of its functionalities. Despite their enthusiasm for incorporating GenAI into their educational experiences, students exhibit mixed feelings about the implications of its use, suggesting that while they are open to its benefits, they remain wary of the challenges it presents. Overall, the findings underscore the necessity for educational institutions to address these concerns and provide clearer guidance on the responsible integration of GenAI in academic settings.

Key Applications

ChatGPT and other GenAI applications (e.g., Dall-E, Midjourney)

Context: Undergraduate students in information technology courses, primarily juniors and seniors.

Implementation: Data collected through open-ended survey responses where students described their use and perceptions of GenAI.

Outcomes: Students reported improved efficiency, personalized learning experiences, and quick access to information. However, they also noted concerns about accuracy and the potential for reduced independent learning.

Challenges: Misconceptions about what GenAI is, ethical concerns (plagiarism, dependency), and the potential for students not fully engaging with their education.

Implementation Barriers

Ethical

Concerns regarding plagiarism and academic integrity in assessments due to the ease of obtaining information through GenAI.

Proposed Solutions: Educators should provide clear guidelines on the acceptable use of GenAI and incorporate reflective assignments that require critical thinking.

Technological Understanding

Students have misconceptions about how GenAI works, often confusing it with traditional search engines or basic AI tools.

Proposed Solutions: Educational institutions should enhance AI literacy programs to educate students on the functionality and appropriate use of GenAI.

Project Team

Aditya Johri

Researcher

Ashish Hingle

Researcher

Johannes Schleiss

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Aditya Johri, Ashish Hingle, Johannes Schleiss

Source Publication: View Original PaperLink opens in a new window

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai

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