Designing experiential learning activities with generative artificial intelligence tools for authentic assessment

IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH

Interactive Technology and Smart Education Pub Date : 2024-05-06 DOI:10.1108/itse-12-2023-0236

D. Salinas-Navarro, E. Vilalta-Perdomo, Rosario Michel-Villarreal, Luis Montesinos

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引用次数: 0

Abstract

Purpose This article investigates the application of generative artificial intelligence (GenAI) in experiential learning for authentic assessment in higher education. Recognized for its human-like content generation, GenAI has garnered widespread interest, raising concerns regarding its reliability, ethical considerations and overall impact. The purpose of this study is to explore the transformative capabilities and limitations of GenAI for experiential learning. Design/methodology/approach The study uses “thing ethnography” and “incremental prompting” to delve into the perspectives of ChatGPT 3.5, a prominent GenAI model. Through semi-structured interviews, the research prompts ChatGPT 3.5 on critical aspects such as conceptual clarity, integration of GenAI in educational settings and practical applications within the context of authentic assessment. The design examines GenAI’s potential contributions to reflective thinking, hands-on learning and genuine assessments, emphasizing the importance of responsible use. Findings The findings underscore GenAI’s potential to enhance experiential learning in higher education. Specifically, the research highlights GenAI’s capacity to contribute to reflective thinking, hands-on learning experiences and the facilitation of genuine assessments. Notably, the study emphasizes the significance of responsible use in harnessing the capabilities of GenAI for educational purposes. Originality/value This research showcases the application of GenAI in operations management education, specifically within lean health care. The study offers insights into its capabilities by exploring the practical implications of GenAI in a specific educational domain through thing ethnography and incremental prompting. Additionally, the article proposes future research directions, contributing to the originality of the work and opening avenues for further exploration in the integration of GenAI in education.

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利用生成式人工智能工具设计体验式学习活动，进行真实评估

本文研究了生成式人工智能（GenAI）在体验式学习中的应用，以便在高等教育中进行真实评估。GenAI 因其类似于人类的内容生成功能而受到广泛关注，同时也引起了人们对其可靠性、道德因素和整体影响的担忧。本研究的目的是探索 GenAI 在体验式学习中的变革能力和局限性。本研究采用 "事物人种学 "和 "增量提示 "的方法，深入探讨著名的 GenAI 模型 ChatGPT 3.5 的观点。通过半结构式访谈，本研究就概念清晰度、GenAI 在教育环境中的整合以及在真实评估背景下的实际应用等关键方面对 ChatGPT 3.5 进行了提示。研究设计审查了 GenAI 对反思性思维、实践学习和真实评估的潜在贡献，强调了负责任使用的重要性。研究结果研究结果强调了 GenAI 在高等教育中加强体验式学习的潜力。具体而言，研究强调了 GenAI 在促进反思性思维、实践学习体验和促进真正评估方面的能力。值得注意的是，这项研究强调了负责任地使用 GenAI 的重要性，以便将其能力用于教育目的。原创性/价值这项研究展示了 GenAI 在运营管理教育中的应用，特别是在精益医疗保健中的应用。本研究通过事物人种学和增量提示，探索 GenAI 在特定教育领域的实际意义，从而深入了解 GenAI 的能力。此外，文章还提出了未来的研究方向，有助于增强工作的原创性，并为进一步探索 GenAI 在教育中的整合开辟了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Interactive Technology and Smart Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

12.00

自引率

2.30%

发文量

期刊介绍： Interactive Technology and Smart Education (ITSE) is a multi-disciplinary, peer-reviewed journal, which provides a distinct forum to specially promote innovation and participative research approaches. The following terms are defined, as used in the context of this journal: -Interactive Technology refers to all forms of digital technology, as described above, emphasizing innovation and human-/user-centred approaches. -Smart Education "SMART" is used as an acronym that refers to interactive technology that offers a more flexible and tailored approach to meet diverse individual requirements by being “Sensitive, Manageable, Adaptable, Responsive and Timely” to educators’ pedagogical strategies and learners’ educational and social needs’. -Articles are invited that explore innovative use of educational technologies that advance interactive technology in general and its applications in education in particular. The journal aims to bridge gaps in the field by promoting design research, action research, and continuous evaluation as an integral part of the development cycle of usable solutions/systems.