Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success
By Yu Chen, Scott Jensen, Leslie Jordan Albert, Sambhav Gupta, Terri Lee. Information Systems Frontiers, 2022
489 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Health Informatics, Safety Research
View Paper: https://www.semanticscholar.org/paper/fd76648eacd93aed10ac794d6905419da06f5321
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Cecilia Ka Yuk Chan
- Wenjie Hu
- Katherine K. W. Lee
- Abdulhadi Shoufan
- Nikolaos D. Tselikas
- Konstantinos I. Roumeliotis
In Health Informatics
- Cecilia Ka Yuk Chan
- Wenjie Hu
- Katherine K. W. Lee
- Abdulhadi Shoufan
- Nikolaos D. Tselikas
- Konstantinos I. Roumeliotis
In Safety Research
Citations in the corpus
- Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study (2024, background): “…almost half of the students indicated that chatbots make them more effective as learners, pointing at the potential but also the ease with which ChatGPT seems to be utilized as self-study tool, facilitator, or assistant for learning (Chen et al., 2023; Nisar & Aslam, 2023; Rahman & Watanobe, 2023).”
- The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions (2023, unknown): “46 In short, generative AI can facilitate the automation of monotonous and time-consuming tasks which would enable individuals to dedicate their resources to more valuable and meaningful work.”
- Students’ voices on generative AI: perceptions, benefits, and challenges in higher education (2023, background): “A study of the use of chatbots in business education also reported favourable user feedback with students citing positive learning experience due to chatbots’ responsiveness, interactivity, and confidential learning support (Chen et al., 2023).”
- Exploring Students’ Perceptions of ChatGPT: Thematic Analysis and Follow-Up Survey (2023, background): “These include difficulties in dealing with misspellings, understanding colloquial language, processing student inputs, and mimicking natural conversation flow, resulting in a transactional experience devoid of human emotion [9].”
- The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? (2023, background): “…include data privacy and security concerns, potential biases in AI algorithms, and the importance of human oversight in AI-driven decision-making processes (Bisdas et al., 2021; Chan & Hu, 2023; Chan & Zhou, 2023; Chen et al., 2023; Essel et al., 2022; Gillissen et al., 2022; Jha et al., 2022).”