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An Experiential Learning and Authentic Assessment Framework for Challenge-Based Learning
(MDPI AG, 2026)
Salinas-Navarro, David Ernesto
;
Palma-Mendoza, Jaime Alberto
This research-to-practice study presents a design-oriented framework that integrates challenge-based learning (CBL), experiential learning (EL), and authentic assessment (AA) to support competency development in higher education. The framework aligns the stages of CBL (i.e., engagement, investigation, and solution) with Kolb’s experiential learning cycle and core AA principles, including realism, cognitive challenge, and evaluative judgement. Learning activities are structured around real-world challenges that reflect professional practice, enabling a coherent progression from experience to reflection, conceptualisation, and evaluation, and supporting the systematic development and assessment of student competencies. A single case study illustrates the application of the framework in industrial engineering education, implemented across six interdisciplinary modules at a private university in Mexico. Students engaged in process improvement projects within six small and medium-sized enterprises, fostering problem solving, decision making, and evaluative judgement in authentic contexts. The findings indicate that the framework supports the development of problem-solving and communication competencies, demonstrating its design coherence and practical feasibility. The framework provides structured guidance for educators to align learning objectives, activities, and assessments within CBL environments. However, limitations related to pedagogical integration and the single-case design constrain the generalisability of the findings. Future research should explore cross-disciplinary applications, longitudinal competency development, and adaptation to emerging educational contexts. © The authors © MDPI.
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Live Case Studies in Industrial Engineering Education for Experiential Learning and Authentic Assessment
(MDPI AG, 2026)
Salinas-Navarro, David Ernesto
;
Palma-Mendoza, Jaime Alberto
;
Da Silva-Ovando, Agatha Clarice
Live case studies are widely used in higher education to support active learning; however, their pedagogical potential is often limited by weak integration with learning theories and assessments. This research-to-practice study examines the systematic design of live case studies by integrating Kolb’s experiential learning cycle (ELC) and authentic assessment (AA) principles. This paper presents a framework that conceptualises live cases as the learning context, ELC as the learning process, and AA as evaluative logic. The framework is illustrated through a case study of an undergraduate Quality Management module in industrial engineering at a Mexican university, involving 31 final-year students. The study is design-oriented and illustrative, aiming to demonstrate framework enactment rather than evaluating causal effectiveness. Using a case study methodology, the instructional design and enactment were documented using the ADDIE model. Data were obtained from educational artefacts, assessment results, and student feedback surveys. The findings suggest that aligning teaching and assessment activities with the ELC stages and the AA principles effectively supports learning trajectories. This support covers experience, reflection, conceptualisation, and application. Live case studies enabled the integration of multiple assessment methods around shared organisational problems and supported personalised learning through students’ case selection. This study contributes a design logic and operational framework for distributing authentic assessment across Kolb’s experiential learning stages within live case pedagogy. Rather than offering statistical generalisation, the framework serves as a foundation for adaptation and research, emphasising transferability across disciplines, educational levels, and delivery modes. Limitations are acknowledged regarding the conceptual scope, methodological design, and empirical context. © The authors © MDPI.
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Integrating Generative AI into Live Case Studies for Experiential Learning in Operations Management
(MDPI AG, 2025)
Salinas-Navarro, David Ernesto
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Vilalta-Perdomo, Eliseo
;
Palma-Mendoza, Jaime Alberto
;
Carlos-Arroyo, Martina
This research-to-practice study examines how Generative Artificial Intelligence (GenAI) can be integrated into live case studies to enhance experiential learning in higher education. It explores GenAI’s potential as an agent to learn with scaffolding reflection and engagement and addresses gaps in existing applications that often focus narrowly on content generation. To explore GenAI’s agentive potential, the methodology illustrates this approach in a UK postgraduate operations management module. Students engaged in a live case study of a local ethnic restaurant to refine its business model and operations. The data sources used to examine students’ results included module materials, outputs, and feedback surveys. Thematic analysis was employed to assess how GenAI facilitated experiential learning. The findings suggest that GenAI integration facilitated exploration, reflection, conceptualisation, and experimentation. Students reported that the activity was engaging and relevant, facilitating critical decision-making and understanding of operations management. However, the outcomes varied according to GenAI literacy and student participation. Although GenAI-enriched learning is beneficial, human agency and contextual knowledge remain crucial. Overall, this study integrates GenAI as a cognitive partner throughout Kolb’s ELC. This study offers a transferable framework for active learning, illustrating how technology can enhance critical and reflective learning in authentic educational contexts. However, limitations include uneven student participation and engagement, resource constraints, overreliance on artificial intelligence outputs, differentiated impact on learning outcomes, and a single-case report, which must be addressed before the framework can be scaled up. Future research should test this through multi-case studies while developing GenAI literacy, measuring GenAI impact, and implementing ethical practices in the field. ©Los autores ©MDPI.
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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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Salinas-Navarro, David Ernesto
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Arana-Solares, Ivan A.
;
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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Designing experiential learning activities with generative artificial intelligence tools for authentic assessment
(Emerald, 2024)
Salinas-Navarro, David Ernesto
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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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Transdisciplinary experiential learning in biomedical engineering education for healthcare systems improvement
(BMC, 2023)
Montesinos, Luis
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Santos-Diaz, Alejandro
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Salinas-Navarro, David Ernesto
Background: The growing demand for more efficient, timely, and safer health services, together with insufficient resources, put unprecedented pressure on health systems worldwide. This challenge has motivated the application of principles and tools of operations management and lean systems to healthcare processes to maximize value while reducing waste. Consequently, there is an increasing need for professionals with the appropriate clinical experience and skills in systems and process engineering. Given their multidisciplinary education and training, biomedical engineering professionals are likely among the most suitable to assume this role. In this context, biomedical engineering education must prepare students for a transdisciplinary professional role by including concepts, methods, and tools that commonly belong to industrial engineering. This work aims to create relevant learning experiences for biomedical engineering education to expand transdisciplinary knowledge and skills in students to improve and optimize hospital and healthcare care processes. Methods: Healthcare processes were translated into specific learning experiences using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. This model allowed us to systematically identify the context where learning experiences were expected to occur, the new concepts and skills to be developed through these experiences, the stages of the student’s learning journey, the resources required to implement the learning experiences, and the assessment and evaluation methods. The learning journey was structured around Kolb’s experiential learning cycle, which considers four stages: concrete experience, reflective observation, abstract conceptualization, and active experimentation. Data on the student’s learning and experience were collected through formative and summative assessments and a student opinion survey. Results: The proposed learning experiences were implemented in a 16-week elective course on hospital management for last-year biomedical engineering undergraduate students. Students engaged in analyzing and redesigning healthcare operations for improvement and optimization. Namely, students observed a relevant healthcare process, identified a problem, and defined an improvement and deployment plan. These activities were carried out using tools drawn from industrial engineering, which expanded their traditional professional role. The fieldwork occurred in two large hospitals and a university medical service in Mexico. A transdisciplinary teaching team designed and implemented these learning experiences. Conclusions : This teaching-learning experience benefited students and faculty concerning public participation, transdisciplinarity, and situated learning. However, the time devoted to the proposed learning experience represented a challenge. ©The authors, BMC Medical Education.
Scopus© Citations 14 22
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Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
(MDPI, 2022)
Montesinos, Luis
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Santos-Diaz, Alejandro
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Salinas-Navarro, David Ernesto
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Cendejas-Zaragoza, Leopoldo
Biomedical engineering (BME) is one of the fastest-growing engineering fields worldwide. BME professionals are extensively employed in the health technology and healthcare industries. Hence, their education must prepare them to face the challenge of a rapidly evolving technological environment. Biomedical signals and systems analysis is essential to BME undergraduate education. Unfortunately, students often underestimate the importance of their courses as they do not perceive these courses’ practical applications in their future professional practice. In this study, we propose using blended learning spaces to develop new learning experiences in the context of a biomedical signals and systems analysis course to enhance students’ motivation and interest and the relevance of the materials learned. We created a learning experience based on wearable devices and cloud-based collaborative development environments such that the students turned daily-life scenarios into experiential learning spaces. Overall, our results suggest a positive impact on the students’ perceptions of their learning experience concerning relevance, motivation, and interest. Namely, the evidence shows a reduction in the variability of such perceptions. However, further research must confirm this potential impact. This confirmation is required given the monetary and time investment this pedagogical approach would require if it were to be implemented at a larger scale. ©MDPI, The authors.
Scopus© Citations 7 2
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Experiential learning at Lean-Thinking-Learning Space
(Springer, 2019)
Garay-Rondero, Claudia Lizette
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Rodríguez Calvo, Ericka Zulema
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Salinas-Navarro, David Ernesto
This research paper presents a proposal for a learning model that extends the availability of resources for training and development of professional skills in the field of Lean Manufacturing. This research arises due to the lack and current limitations of effective teaching models for the development of professional competencies. The importance of this educational innovation proposal lies in being a unique reference frame of its type. This offers cutting-edge methods for optimization and process improvement tools, while developing general and disciplinary competencies in the area of industrial engineering. The notion of learning is presented in a context of real-world experiences to develop relevant competencies in real businesses settings for manufacturing and services. This work presents a literature review on competency-based education, experiential learning and challenge-based learning. Therefore, a background explanation of the proposed learning model and a learning space called Lean-Thinking-Learning Space are elaborated. Additionally, an experiment carried out to measure the development of competencies is showed in terms of comparing the teaching results of a course in two different learning spaces; namely, a traditional classroom and the proposed experiential learning space. The results of this investigation reflect an increase of 29% in the level of attainment of competencies observed in the experiential learning space proposed in this research work. ©2019 Springer, The authors.
Scopus© Citations 31 13
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Experiential Learning Labs for the Post-COVID-19 Pandemic Era
(MDPI, 2024)
Salinas-Navarro, David Ernesto
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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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Experiential Learning for Circular Operations Management in Higher Education
(MDPI, 2024)
Salinas-Navarro, David Ernesto
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Arias Portela, Claudia Yohana
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González de la Cruz, José Rubén
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Vilalta-Perdomo, Eliseo
This research-to-practice article delves into novel learning experiences for operations management education, involving the circular economy and experiential learning. Higher Education academics are required to develop effective learning that actively and impactfully helps nurture in students the essential competency to face sustainable development demands. In operations management education, one possibility is to integrate real-world circular economy challenges into learning activities that address issues concerning solid waste generation in business processes and operations. This type of innovative learning experience involves both conceptual understanding and practical implementation. Accordingly, experiential learning is considered a suitable pedagogy for this purpose in this work because of its hands-on applications, critical thinking, and active engagement. To illustrate this proposition, this paper presents a case study concerning an operations management undergraduate course at a Mexican university. The case study indicates how to translate a situation of solid waste generation in a business into relevant disciplinary experiential learning. The results show that students regarded the learning experience as motivating, interesting, and relevant while widely accomplishing their learning objectives. However, limitations did exist regarding experiential learning, the methodological approach, data collection, and implementation challenges. Future work points to the need for further learning experiences and to improve research reliability, transferability, and validity. ©2024 MDPI (Basel, Switzerland) unless otherwise stated.
Scopus© Citations 4 37 1

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