Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal

Koorn, Jelmer Jan; Beerepoot, Iris; Dani, Vinicius Stein; Lu, Xixi; Weerd, Inge van de; Leopold, Henrik; Reijers, Hajo A.

doi:10.1109/icpm53251.2021.9576877

Cited by 6 publications

(3 citation statements)

References 67 publications

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“…We believe that researchers can use this technique to identify decision points and understand the events preceding and following those decision points, the frequencies of transitions between states, and the variables that they could then use in a causal study. Qualitative methods can also be integrated with PM (Koorn et al, 2021) and used to elucidate how psychological characteristics, contextual information, and other factors, such as debt aversion, part-time work, and liquidity constraints, influence academic progress and persistence.…”

Section: Discussionmentioning

confidence: 99%

Implications of losing a need- and merit-based scholarship on the educational trajectory: a curricular analytics approach

Salazar-Fernandez,

Munoz-Gama,

Sepúlveda

2024

High Educ

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Understanding how students with low socioeconomic status finance their tuition over time can help us comprehend the impact of students’ decisions on their subsequent curricular progress, graduation, or dropout. This work presents a curricular analytics approach using process mining techniques to study educational funding trajectories as processes. Specifically, the SCHOLARSHIP-LOAN-SELF-FUNDED model is designed to reveal educational funding trajectories and obtain aggregate information. Academic and tuition records of 2484 undergraduate students from a private Chilean university who started their programs with a government need- and merit-based tuition aid were analyzed. Students who lost their scholarships were more likely to drop out, whereas students who maintained this aid were more likely to graduate on time. Curricular progress per semester was slower after scholarships ended or after the students lost them and stayed. Financial aid was associated with students’ curricular progress and linked to their permanence and graduation time. Higher education institutions should consider the eligibility criteria and maintenance requirements of financial assistance when designing their curricula.

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Section: Discussionmentioning

confidence: 99%

Implications of losing a need- and merit-based scholarship on the educational trajectory: a curricular analytics approach

Salazar-Fernandez,

Munoz-Gama,

Sepúlveda

2024

High Educ

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“…Whereas indepth methodological guidance has been developed for other phases such as data collection and analysis (e.g. Jans et al (2019) and Bozkaya et al (2009), respectively), existing process mining methods lack actionable support for insights evaluation, especially in involving domain experts (Koorn et al, 2021).…”

Section: Related Workmentioning

confidence: 99%

Longitudinal healthcare analytics for early detection and progression of neurological diseases: A clinical decision support system.

Owusu,

Wang,

Sun

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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As healthcare organisations are looking for ways to improve their processes, process mining techniques are increasingly being used. Current process mining methods do not offer support for translating process mining insights into actionable improvement ideas. By performing action research at two healthcare organisations, we introduce and illustrate the INTEL funnel, a novel three-staged method consisting of process familiarisation, domain explanation and improvement ideation. Our method complements existing process mining methods and constitutes the first attempt to open the black box regarding the path from process mining insights to actionable process improvement ideas. In this way, it can contribute to a more systematic uptake of process mining in healthcare practice.

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“…Emamjome et al [9] investigated the diffusion and maturity of tools and methodologies from case studies discovering, for example, that the thoroughness of the analysis stage, among others, has not improved over the years. Also using published case studies as a source, Koorn et al [12] focused on understanding the goals and methods of evaluations in which domain experts are involved. Then, based on their findings, they proposed six strategies for the qualitative evaluation of findings in process mining projects.…”

Section: Related Workmentioning

confidence: 99%

Process Mining Practices: Evidence from Interviews

Zerbato

Soffer

Weber

2022

Lecture Notes in Computer Science

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Process mining provides organizations with methods and techniques to extract knowledge from event logs. In their work, process analysts can draw from the wealth of techniques developed over the years by researchers and professionals. Still, there is limited understanding of how process mining is used in practice and, in particular, how individual analysts approach the analysis stage. Towards filling this gap, we conducted semi-structured interviews with 37 practitioners and academics working with process mining. Based on the results of the interviews, we characterize common analysis strategies and examine related challenges and factors affecting their use in practice. Our findings contribute to an improved understanding of process mining practices and provide a solid empirical basis for future research developing guidance and support addressing the practical needs of process analysts.

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Bringing Rigor to the Qualitative Evaluation of Process Mining Findings: An Analysis and a Proposal

Cited by 6 publications

References 67 publications

Implications of losing a need- and merit-based scholarship on the educational trajectory: a curricular analytics approach

Implications of losing a need- and merit-based scholarship on the educational trajectory: a curricular analytics approach

Longitudinal healthcare analytics for early detection and progression of neurological diseases: A clinical decision support system.

Process Mining Practices: Evidence from Interviews

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