The utilization of process mining for managerial decision-making in educational technology organizations

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Educational technology organizations (EdTech), which include digital education companies, online learning platforms, and others, generate vast amounts of data about student behavior and the performance of individual digital services on a daily basis. The widespread shift from traditional face-to-face learning to remote synchronous and asynchronous learning during the COVID-19 pandemic has only intensified this trend. According to the United Nations, up to 94% of students worldwide have been affected by the transition to online or hybrid learning formats. In such an environment, the effectiveness of management decisions depends on the company's ability to analyze the digital footprint of its educational processes. Process analytics at the current stage offers tools for objective analysis of this data and justification of fact-based management decisions, which is especially important for increasing the competitiveness and maintaining the sustainability of EdTech companies.

process mining \ educational technologies \ digital footprint \ management solutions \ operational management \ learning management systems

Short address: https://sciup.org/170212610

IDS: 170212610   |   DOI: 10.24412/2411-0450-2026-2-179-183