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Challenge-Based Learning for Active Learning in Industrial Engineering Education
(Emerald Publishing Limited, 2025)
Palma-Mendoza, Jaime A.
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Arana-Solares, Ivan A.
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Franco-Herrera, Froylan
This chapter delves into the design of active learning activities for competence development in industrial engineering students through challenge-based learning (CBL). A learning challenge, as a purposeful experience, is proposed to expose students to real-world situations through experiential learning (EL). Around a challenge, tutors and students collaborate with an organization as an educational partner to develop alternative solutions in line with their intended learning outcomes. A case study is presented to exemplify the development of active learning activities within a CBL and EL framework that supports authentic assessment (AA) in a group of industrial engineering aggregated courses at Tecnologico de Monterrey in Mexico. The learning challenge provides promising results for the satisfactory development of student competences and the AA of their learning outcomes. However, limitations do exist concerning difficulties in the design and implementation process, which require further work. ©The authors ©Emerald.
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Introduction to Active Learning and Authentic Assessment: Concepts and Applications
(Emerald Publishing Limited, 2025)
Vilalta-Perdomo, Eliseo
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Scroccaro, Alessandra
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Michel-Villarreal, Rosario
This chapter describes the intentions and content of this handbook. This chapter also introduces the two main concepts addressed in this handbook: “Active learning” and “authentic assessment.” Concerning the latter concept, this chapter suggests a spectrum of authentic assessment, linked to different active learning approaches, from approaches highly immersive with real-world tasks to approaches with more simulated or contrived environments. This spectrum may help module designers identify which kind of active learning approach for authentic assessment would work better, considering the constraints, under which the module will operate, and the resources available. ©The authors ©Emerald.
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Designing experiential learning activities with generative artificial intelligence tools for authentic assessment
(Emerald, 2024)
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Vilalta-Perdomo, Eliseo
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Michel-Villarreal, Rosario
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Montesinos, Luis
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. ©The authors, Emerald Group Publishing.
Scopus© Citations 7 21
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Experiential Learning Labs for the Post-COVID-19 Pandemic Era
(MDPI, 2024)
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Da Silva Ovando, Agatha Clarice
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Palma-Mendoza, Jaime Alberto
The post-pandemic era shaped by COVID-19 has compelled universities to reimagine their learning experiences, adapting to new educational requirements and heightened expectations. However, this transformation brings forth novel pedagogical requirements and learning limitations. In today’s educational landscape, learners seek active and relevant learning experiences that seamlessly integrate interactivity, crisis awareness, and global challenges tied to a resilience and sustainability perspective. To address this imperative, our work introduces an experiential learning lab to articulate Kolb’s experiential learning cycle and authentic assessment principles. By incorporating real-world events as study scenarios, higher-order skill challenges, and self-regulated learning in alignment with reflective and practical activities, we aim to enhance students’ engagement and learning relevance. To illustrate practical implementation, we propose a case study methodology regarding an experiential learning lab for operations management education. Specifically, we delve into a case study centred around the Social Lab for Sustainable Logistics, involving a circular economy challenge as a learning experience during the post-COVID-19 pandemic. Preliminary results indicate that the experiential learning lab helped to create the learning experience in alignment with intended learning outcomes. However, further instances of such learning experiences are necessary to explore the contribution and applicability of the lab across diverse settings and disciplines.
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