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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.

By focusing on the perspective of politicians, this paper aims to question the change brought about by local government financial statements for accountability. It applies the Burns and Scapens’ (2000) framework of accounting change to explore politicians’ routines when using the accrual accounting information and which type of change was induced by financial statements on financial accountability to politicians and citizens.

Considering that accounting reforms take time to unfold their effects, this paper studies two countries that have 11 years of difference in the reform implementation and thus a different accounting maturity. A qualitative research approach was used based on 55 semistructured interviews in five Finnish and six German municipalities with 25 councilors from Finland and 30 from Germany.

Councilors with a longer period of time to adjust to the accounting reforms seem to have developed more routines in using financial statements to assess the financial situation and performance. The change induced in accountability to politicians is partly formal and more evolutionary than revolutionary. The complexity of financial statements can lead to regressive change, especially in financially distressed local governments. As for accountability to citizens, a real change is not observed, reflecting a regressive type of change.

The study contributes to the empirical studies on financial accountability in the public sector context by analyzing the use of financial statements in two-way accountability relations from the perspective of politicians. Thereby, the paper adopts a transnational comparative approach and draws on old institutional economics.

Construction progress monitoring (CPM) is considered a difficult and tedious task in construction projects, which focuses on identifying discrepancies between the as-built product and the as-planned design. Computer vision (CV) technology is applied to automate the CPM process. However, the synergy between the CV and CPM in literature and industry practice is lacking. This study aims to fulfil this research gap.

A Delphi qualitative approach was used in this study by conducting two interview rounds. The collected data was analysed using manual content analysis.

This study identified seven stages of CPM; data acquisition, information retrieval, verification, progress estimation and comparison, visualisation of the results and schedule updating. Factors such as higher accuracy in data, less labourious process, efficiency and near real-time access are some of the significant enablers in instigating CV for CPM. Major challenges identified were occlusions and lighting issues in the site images and lack of support from the management. The challenges can be easily overcome by implementing suitable strategies such as familiarisation of the workforce with CV technology and application of CV research for the construction industry to grow with the technology in line with other industries.

This study addresses the gap pertaining to the synergy between the CV in CPM literature and the industry practice. This research contributes by enabling the construction personnel to identify the shortcomings and the opportunities to apply automated technologies concerning each stage in the progress monitoring process.