A Self-Served AI Tutor for Growth Mindset Teaching

Abduljabbar, A.; Gupta, N.; Healy, L.; Kumar, Y.; Li, J. J.; Morreale, Patricia

doi:10.1109/icict55905.2022.00018

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…This personalized guidance system has undergone successful testing across a variety of tutoring categories, such as medical training [39,40]; for a review, see [41]), computer science [42], and mathematics [43]. Additionally, AI systems have seen successful deployments as tutors beyond the traditional academic disciplines, serving as personal mindset coaches [44]. In the context of Adaptive Learning-where education is tailored to accommodate individual learning styles and progress [45]-AI systems can play an instrumental role.…”

Section: Ai and Chatgpt For Advancing Teaching And Learning Activitiesmentioning

confidence: 99%

Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings

Grassini

2023

Education Sciences

349

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Over the last decade, technological advancements, especially artificial intelligence (AI), have significantly transformed educational practices. Recently, the development and adoption of Generative Pre-trained Transformers (GPT), particularly OpenAI’s ChatGPT, has sparked considerable interest. The unprecedented capabilities of these models, such as generating humanlike text and facilitating automated conversations, have broad implications in various sectors, including education and health. Despite their immense potential, concerns regarding their widespread use and opacity have been raised within the scientific community. ChatGPT, the latest version of the GPT series, has displayed remarkable proficiency, passed the US bar law exam, and amassed over a million subscribers shortly after its launch. However, its impact on the education sector has elicited mixed reactions, with some educators heralding it as a progressive step and others raising alarms over its potential to reduce analytical skills and promote misconduct. This paper aims to delve into these discussions, exploring the potential and problems associated with applying advanced AI models in education. It builds on extant literature and contributes to understanding how these technologies reshape educational norms in the “new AI gold rush” era.

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Section: Ai and Chatgpt For Advancing Teaching And Learning Activitiesmentioning

confidence: 99%

Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings

Grassini

2023

Education Sciences

349

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“…The work aligns closely with studies that also adopt a user-centric approach to AILS evaluation [22][23][24][25]. Insights are also drawn from studies that explore the intersection of AI and higher education [26,27], a topic directly relevant to one of the framework components. However, the distinguishing feature of the framework is its focus on user experience within the context of broader societal impact.…”

Section: Research Background and Related Workmentioning

confidence: 59%

A Testing Framework for AI Linguistic Systems (testFAILS)

Kumar,

Morreale,

Sorial

et al. 2023

Electronics

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This paper presents an innovative testing framework, testFAILS, designed for the rigorous evaluation of AI Linguistic Systems (AILS), with particular emphasis on the various iterations of ChatGPT. Leveraging orthogonal array coverage, this framework provides a robust mechanism for assessing AI systems, addressing the critical question, “How should AI be evaluated?” While the Turing test has traditionally been the benchmark for AI evaluation, it is argued that current, publicly available chatbots, despite their rapid advancements, have yet to meet this standard. However, the pace of progress suggests that achieving Turing-test-level performance may be imminent. In the interim, the need for effective AI evaluation and testing methodologies remains paramount. Ongoing research has already validated several versions of ChatGPT, and comprehensive testing on the latest models, including ChatGPT-4, Bard, Bing Bot, and the LLaMA and PaLM 2 models, is currently being conducted. The testFAILS framework is designed to be adaptable, ready to evaluate new chatbot versions as they are released. Additionally, available chatbot APIs have been tested and applications have been developed, one of them being AIDoctor, presented in this paper, which utilizes the ChatGPT-4 model and Microsoft Azure AI technologies.

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“…Therefore, we should guide students to use new technologies like ChatGPT correctly, fully utilizing their technology characteristics, fully leveraging their technological features and exploring their positive uses in higher education. For example, utilizing its personalization features to act as our growth mind-set recommender [103], using its conversational capabilities to practice speaking or learning foreign languages [29]. In a sense, this means that ChatGPT's functions such as language editing and translation can break through some of the limitations of material conditions, providing students with a relatively more equitable learning environment and a more sustainable way of learning [104].…”

Section: Discussionmentioning

confidence: 99%

Does ChatGPT Play a Double-Edged Sword Role in the Field of Higher Education? An In-Depth Exploration of the Factors Affecting Student Performance

Chen,

Zhuo,

Lin

2023

Sustainability

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The application of generative artificial intelligence in the field of education has been receiving increasing attention, with the performance of chatbot ChatGPT being particularly prominent. This study aims to explore in depth the performance impact on higher education students utilizing ChatGPT. To this end, we conducted a survey on 448 university students and employed the partial-least squares (PLS) method of structural equation modeling for data analysis. The results indicate that all eight hypothetical paths posited in this study were supported, and surprisingly, the hypothesis that technology characteristics have a direct effect on performance impact was supported. Moreover, the study found that overall quality is a crucial factor determining performance impact. Overall quality indirectly affects performance impact through task-technology fit, technology characteristics, and compatibility, among which the mediating effect of compatibility is most significant, followed by technology characteristics. This study offers practical recommendations for students on the proper use of ChatGPT during the learning process and assists developers in enhancing the services of the ChatGPT system.

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A Self-Served AI Tutor for Growth Mindset Teaching

Cited by 11 publications

References 5 publications

Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings

Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings

A Testing Framework for AI Linguistic Systems (testFAILS)

Does ChatGPT Play a Double-Edged Sword Role in the Field of Higher Education? An In-Depth Exploration of the Factors Affecting Student Performance

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