Search results

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.

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.

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.

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.

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.

The first-aid courses organized by the Youth Red Cross Carinthia (Austria) had a quality problem, necessitating a professionalization in teaching and time structure. This research aimed to enhance the quality and effectiveness of these courses by implementing modified lesson studies with non-professional trainers. The paper presents the realization process, empirical research and results obtained by applying the first-aid curriculum.

Around 22 lesson study first-aid courses (14 classes with 2 cycles, 8 with 3 cycles) were conducted and evaluated in different Austrian school types. An observation sheet was created to evaluate attention and competencies. Interviews were conducted with both teachers and students to validate the results.

The research findings demonstrate that lesson studies can significantly enhance the quality and effectiveness of first-aid courses. Inexperienced and experienced first-aid teachers significantly improved their teaching skills. Newly educated first-aid teachers showed substantial improvement, leading to the introduction of an induction period and coaching opportunity within the Youth Red Cross Carinthia.

This is the first lesson study conducted in a non-academic context. It highlights the adaptation process of Carinthian first-aid courses. It illustrates how lesson studies impact lesson clarity, instructional variety, student engagement in the learning process, student outcome, student feedback and teaching effectiveness in a non-academic context. It contributes to the literature on the application of lesson study in first-aid education and provides insight into the benefits of this approach in enhancing the quality of first-aid training.

This research paper aims to analyze the scientific and grey literature on Quality 4.0 and zero-defect manufacturing (ZDM) frameworks to develop an integrated quality 4.0 framework (IQ4.0F) for quality improvement (QI) based on Six Sigma and machine learning (ML) techniques towards ZDM. The IQ4.0F aims to contribute to the advancement of defect prediction approaches in diverse manufacturing processes. Furthermore, the work enables a comprehensive analysis of process variables influencing product quality with emphasis on the use of supervised and unsupervised ML techniques in Six Sigma’s DMAIC (Define, Measure, Analyze, Improve and Control) cycle stage of “Analyze.”

The research methodology employed a systematic literature review (SLR) based on PRISMA guidelines to develop the integrated framework, followed by a real industrial case study set in the automotive industry to fulfill the objectives of verifying and validating the proposed IQ4.0F with primary data.

This research work demonstrates the value of a “stepwise framework” to facilitate a shift from conventional quality management systems (QMSs) to QMSs 4.0. It uses the IDEF0 modeling methodology and Six Sigma’s DMAIC cycle to structure the steps to be followed to adopt the Quality 4.0 paradigm for QI. It also proves the worth of integrating Six Sigma and ML techniques into the “Analyze” stage of the DMAIC cycle for improving defect prediction in manufacturing processes and supporting problem-solving activities for quality managers.

This research paper introduces a first-of-its-kind Quality 4.0 framework – the IQ4.0F. Each step of the IQ4.0F was verified and validated in an original industrial case study set in the automotive industry. It is the first Quality 4.0 framework, according to the SLR conducted, to utilize the principal component analysis technique as a substitute for “Screening Design” in the Design of Experiments phase and K-means clustering technique for multivariable analysis, identifying process parameters that significantly impact product quality. The proposed IQ4.0F not only empowers decision-makers with the knowledge to launch a Quality 4.0 initiative but also provides quality managers with a systematic problem-solving methodology for quality improvement.

This paper aims to present the novel stacked machine learning approach (SMLA) to estimate low-cycle fatigue (LCF) life of SAC305 solder across structural parts. Using the finite element simulation (FEM) and continuous damage mechanics (CDM) model, a fatigue life database is built. The stacked machine learning (ML) model's iterative optimization during training enables precise fatigue predictions (2.41% root mean square error [RMSE], R² = 0.975) for diverse structural components. Outliers are found in regression analysis, indicating potential overestimation for thickness transition specimens with extended lifetimes and underestimation for open-hole specimens. Correlations between fatigue life, stress factors, nominal stress and temperature are unveiled, enriching comprehension of LCF, thus enhancing solder behavior predictions.

This paper introduces stacked ML as a novel approach for estimating LCF life of SAC305 solder in various structural parts. It builds a fatigue life database using FEM and CDM model. The stacked ML model iteratively optimizes its structure, yielding accurate fatigue predictions (2.41% RMSE, R² = 0.975). Outliers are observed: overestimation for thickness transition specimens and underestimation for open-hole ones. Correlations between fatigue life, stress factors, nominal stress and temperature enhance predictions, deepening understanding of solder behavior.

The findings of this paper highlight the successful application of the SMLA in accurately estimating the LCF life of SAC305 solder across diverse structural components. The stacked ML model, trained iteratively, demonstrates its effectiveness by producing precise fatigue lifetime predictions with a RMSE of 2.41% and an “R²” value of 0.975. The study also identifies distinct outlier behaviors associated with different structural parts: overestimations for thickness transition specimens with extended fatigue lifetimes and underestimations for open-hole specimens. The research further establishes correlations between fatigue life, stress concentration factors, nominal stress and temperature, enriching the understanding of solder behavior prediction.

The authors confirm the originality of this paper.

This study aims to develop theory on the process toward digital service innovation (DSI) and to generate insights into how companies deal with the rising complexity associated with DSI, both inside and outside of the organization, through organizational learning and alignment.

After purposeful sampling, in-depth, longitudinal case studies of three manufacturers are presented as illustration. Per case, multiple semi-structured interviews are conducted, and insights are validated through rich additional data gathering. Each company's DSI pathway is reconstructed with critical incident technique. Next, using systematic combining, a middle-range theory is developed by proposing a theoretical frame concerning the relations between DSI maturity, learning and alignment.

The authors posit that, as companies gradually develop and progress toward DSI maturity, they deal with a rising degree of complexity, fueling their learning needs. Companies that are apt to learn, pass through multiple cycles of learning and alignment to overcome specific complexities associated with different DSI stages, with each cycle unlocking new DSI opportunities and challenges.

The study applies a stage-based view on DSI combined with complexity management and organizational learning and alignment theory. It offers a theoretical frame and propositions to be used by researchers for future DSI studies and by managers to evaluate alternative DSI strategies and implementation steps.

This paper will discuss one university’s efforts to initiate a process to better support PK-12 continuous school improvement goals for all 13 schools in their PDS network as a way to broaden the university’s mission and respond more formally to the individual school communities with which they partner.

The paper is conceptual in that it presents an innovative idea to stimulate discussion, generate new ideas and advance thinking about cross-institutional collaboration between universities and professional development schools.

The paper provides insights and ideas for bringing about change and growth in a seasoned PDS partnership network by connecting PK-12 continuous school improvement efforts to PDS partnership work.

This paper fulfills an identified need to study how seasoned partnerships can participate in simultaneous renewal by offering ideas that school–university partnership leaders can build upon as they make efforts to participate in the process of growth and change.

The purpose of this research is to provide an introduction into Hoshin Kanri and how it has been used with other methodologies and frameworks. Additionally, factors that impact successful Hoshin Kanri implementation and future research opportunities are explored.

A systematic literature review was conducted to determine the methodologies and frameworks that have previously been explored and identify factors that lead to successful Hoshin Kanri implementation as it relates in the Western world.

Even though Hoshin Kanri has been used to a limited extent for decades in the West, there is still relatively little published research on the topic. In the period reviewed most published research was performed in the UK or USA. In addition, most years had less than two publications (the exception being five in 2020).

This literature review was primarily focused on the manufacturing sector, publications from 1990–2021, and available in English.

Current practitioners may use the research in this review to improve their current Hoshin Kanri practices using the techniques mentioned as a means of continuous improvement or to build a new framework for their own needs.

This paper makes an important contribution to the study of Hoshin Kanri as it provides: (1) an updated literature review regarding the study and application of Hoshin Kanri, (2) a qualitative analysis of alternative methodologies and frameworks to traditional Hoshin Kanri and (3) success factors when considering implementation of Hoshin Kanri within an organization and researchers with potential ideas for future research.

This research seeks to explore the potential of Lesson Study as a vehicle to support professional development (PD) in a rural, Irish primary school. Lesson Study was utilised to design and implement integrated STEM (Science, Technology, Engineering and Mathematics) lessons with young children (ages 4–7 years).

Three teachers were introduced to and participated in four cycles of Lesson Study over the course of one school year. Qualitative data were generated from interviews, collaborative weekly meetings and observation sheets.

Analysis suggests that Lesson Study supported the development of a culture of collaboration and provided an opportunity for teachers to share their knowledge. Findings also reveal that Lesson Study motivated teachers to reflect on their role within the classroom and enabled them to move away from teacher-led approaches. Although teachers perceived Lesson Study to be a beneficial form of PD, factors constrained their engagement, including practical, cultural and sustainability challenges.

The study explores the adaptability of Lesson Study in first level education in the context of STEM education. It reveals teachers’ first experience of Lesson Study, given its stark contrast to more “traditional” PD experiences they are accustomed to. This article will, therefore, be of interest to teachers, school leaders and policy makers.

This paper contributes initial findings to a currently under-researched area, Lesson Study in a rural context. This study also combines Lesson Study with STEM education, which has not been widely explored.

Through the action research study, this paper aims to examine how e-portfolios improve students’ critical, reflective and creative thinking as part of higher-order thinking skills (HOTS). Besides, this paper also explores how e-portfolios enhance students’ speaking skills. The study is carried out to improve the current state by identifying and solving problems in specific contexts.

This investigation was designed to seek the improvement of the students’ higher-order thinking and speaking skills after the implementation of the e-portfolio. Action research was chosen because action research is suitable to bring change and improvement in the system or assume to bring progress in the system. This study was designed in two phases, featuring reflection and connection between previous and new data.

By completing this action research study, the authors assisted students in improving their higher-order thinking and speaking skills. The improvement was related to the indicators for learning success, which were explained in this research. The HOTS criteria include the capacity to analyze essential facts and arguments that the students presented in their spoken works logically and critically.

HOTS encompasses critical, logical, creative and metacognitive thinking skills. Future research should go further into the usage of e-portfolios in the development of students’ metacognitive capacities. Moreover, because this investigation was carried out using action research methods, it is crucial to recognize that no generalizability can be offered for the findings.

The study’s findings should also benefit practitioners and instructors endeavoring to enhance students’ e-portfolios, critical thinking and digital skills in the classroom.

The discussion focuses on important development topics. Everyone, not just students, should be encouraged to participate in creating and developing our technological future. The analysis offers unique and essential perspectives into what to explore for such a substantial attempt as implementing digital technology, specifically to construct an e-portfolio.

Despite the widespread usage of e-portfolios in English as a foreign language (EFL) instruction, there is a lack of research on how e-portfolios can enhance EFL students’ HOTS and speaking abilities. Hence, this study addresses a deficiency in existing research by examining the potential of e-portfolios to enhance students’ HOTS and oral communication skills within the context of EFL.