Process mining applications in the healthcare domain: A comprehensive review
Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …
methodologies, and tools for analyzing processes in a variety of application domains. In the …
[HTML][HTML] Digitization or equality: When government automation covers some, but not all citizens
KK Larsson - Government Information Quarterly, 2021 - Elsevier
This paper presents an empirical study of automation in government digital systems.
Previous studies have found that automated systems are not suited to cover all citizens …
Previous studies have found that automated systems are not suited to cover all citizens …
Investigating students' use of self‐assessments in higher education using learning analytics
Background Formative assessments are vital for supporting learning and performance but
are also considered to increase the workload of teachers. As self‐assessments in higher …
are also considered to increase the workload of teachers. As self‐assessments in higher …
[HTML][HTML] Embedding process mining into financial statement audits
M Werner, M Wiese, A Maas - International Journal of Accounting …, 2021 - Elsevier
The audit of financial statements is a complex and highly specialized process. Digitalization
and the increasing automation of transaction processing create new challenges for auditors …
and the increasing automation of transaction processing create new challenges for auditors …
Learning analytics to reveal links between learning design and self-regulated learning
The importance of learning design in education is widely acknowledged in the literature.
Should learners make effective use of opportunities provided in a learning design …
Should learners make effective use of opportunities provided in a learning design …
Analytics of time management and learning strategies for effective online learning in blended environments
This paper reports on the findings of a study that proposed a novel learning analytics
methodology that combines three complimentary techniques-agglomerative hierarchical …
methodology that combines three complimentary techniques-agglomerative hierarchical …
What makes life for process mining analysts difficult? a reflection of challenges
Over the past few years, several software companies have emerged that offer process
mining tools to assist enterprises in gaining insights into their process executions. However …
mining tools to assist enterprises in gaining insights into their process executions. However …
Applying learning analytics to map students' self-regulated learning tactics in an academic writing course
Academic writing is a complex and challenging language learning activity, in which self-
regulation is a key critical factor for learner success. Today, a large number of academic …
regulation is a key critical factor for learner success. Today, a large number of academic …
Map** primary students' mobile collaborative inquiry-based learning behaviours in science collaborative problem solving via learning analytics
This article reports on a study focusing on understanding how primary students conducted
collaborative inquiry-based learning (CIBL) supported by a mobile app during the COVID-19 …
collaborative inquiry-based learning (CIBL) supported by a mobile app during the COVID-19 …
Detection of batch activities from event logs
Organizations carry out a variety of business processes in order to serve their clients.
Usually supported by information technology and systems, process execution data is logged …
Usually supported by information technology and systems, process execution data is logged …