Process science in action: A literature review on process mining in business management

P Zerbino, A Stefanini, D Aloini - Technological Forecasting and Social …, 2021 - Elsevier
Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …

The use of case study design in learning management system research: A label of convenience?

D Turnbull, R Chugh, J Luck - International Journal of …, 2021 - journals.sagepub.com
Case study design is often characterized as a poorly applied and understood approach to
conduct research into information systems. This literature review examined 28 empirical …

Educational data mining for student performance prediction: A systematic literature review (2015-2021)

MB Roslan, C Chen - … of Emerging Technologies in Learning (iJET), 2022 - learntechlib.org
This systematic literature review aims to identify the recent research trend, most studied
factors, and methods used to predict student academic performance from 2015 to 2021. The …

A learning analytics approach to monitoring the quality of online one-to-one tutoring

M Cukurova, M Khan-Galaria… - Journal of Learning …, 2022 - learning-analytics.info
One-to-one online tutoring provided by human tutors can improve students' learning
outcomes. However, monitoring the quality of such tutoring is a significant challenge. In this …

[PDF][PDF] Turning Big Data into Value: A Literature Review on Business Value Realization from Process Mining.

J Eggers, A Hein - ECIS, 2020 - researchgate.net
In recent years, process mining has emerged as the leading Big Data technology for
business process analysis. By extracting knowledge from event logs readily available in …

Systematic literature review on process mining in learning management system

F Wafda, T Usagawa… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the era of Industry 4.0, information systems record a huge amount of event logs. Process
Mining (PM) techniques can evaluate a Learning Management System (LMS) usage based …

An ensemble and filtering-based system for predicting educational data mining

AR Hananto, SA Rahayu… - Journal of Applied Data …, 2021 - bright-journal.org
When developing a prediction paradigm, an ensemble technique such as boosting is used.
It is built on a heuristic framework. Generally speaking, engineering ensemble learning is …

Conformance analysis of student activities to evaluate implementation of outcome-based education in early of pandemic using process mining

R Andreswari, R Fauzi, L Valensia… - SHS Web of …, 2022 - shs-conferences.org
The learning management system has a core component of a system event log that contains
data on activities carried out by students and lecturers in the system. Educational process …

Machine Learning Techniques for Evaluating Student Performance

J Oludipe, F Saeed, R Mohammed - International Conference of Reliable …, 2023 - Springer
In various sectors, particularly in education, artificial intelligence has significantly influenced
outcomes by deploying AI algorithms to gain valuable insights into student learning …

A Systematic Literature Review Toward Standardization of Business Rules Discovery in the Context of Process Mining

M Wael, G Kassem - … on Technological Advancement in Embedded and …, 2024 - Springer
The discovery of business rules helps an organization improve its business processes,
increase its performance, and customize its information system to meet business objectives …