What is Educational Data Mining

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Methods for exploring the unique and increasingly large-scale data that come from educational settings and using those methods to better understand students, and the settings which they learn in. Learn more in: Artificial Intelligence in E-Learning Systems

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Data analysis for detecting patterns in large collections of educational data. Learn more in: Learning Analytics

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Is concerned with developing, researching, and applying computerized methods to detect patterns in large collections of educational data. Learn more in: Toward the 4th Agenda 2030 Goal: AI Support to Executive Functions for Inclusions

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It refers to techniques and tools designed for automatically extracting meaning from large repositories of data generated by peoples learning activities in educational settings. Learn more in: Educational Data Mining Techniques and Applications

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Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in. Whether educational data is taken from students' use of interactive learning environments, computer-supported collaborative learning, or administrative data from schools and universities, it often has multiple levels of meaningful hierarchy, which often need to be determined by properties in the data itself, rather than in advance. Issues of time, sequence, and context also play important roles in the study of educational data. Learn more in: Using the Flipped Classroom to Improve Knowledge Creation of Master's-Level Students in Engineering

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An interdisciplinary field of study that is directly related to many fields such as computer science, statistics, mathematics, and data visualization. Learn more in: Educational Data Mining: A Systematic Literature Mapping Study

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The application of data mining techniques and methods to educational data for management and research purposes. Learn more in: Educational Data Mining: A Guide for Educational Researchers

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Application of data mining techniques on educational data. Learn more in: Predicting the Academic Performance of Students Using Utility-Based Data Mining

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It is a specialized form of data mining which focuses on utilizing data that derives from educational environments and aims at addressing educational issues and enhancing the overall learning experience, performance, and outcomes. Learn more in: Educational Data Mining and Learning Analytics in the 21st Century

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Techniques, tools, and research designed for automatically extracting meaning from large repositories of data generated by or related to people's learning activities in educational settings. Learn more in: Data Mining to Identify Project Management Strategies in Learning Environments

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Tools and techniques to extract meaningful patterns from educational data. Learn more in: Deep Learning in Engineering Education: Performance Prediction Using Cuckoo-Based Hybrid Classification

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The application of data mining approaches in educational data. Learn more in: Main Features and Types of Educational Use of Wiki Technology

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Tools and techniques to extract meaningful patterns from educational data. Learn more in: Deep Learning in Engineering Education: Implementing a Deep Learning Approach for the Performance Prediction in Educational Information Systems

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“ Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique and increasingly large-scale data that come from educational settings and using those methods to better understand students, and the settings which they learn in. Whether educational data is taken from students’ use of interactive learning environments, computer-supported collaborative learning, or administrative data from schools and universities, it often has multiple levels of meaningful hierarchy, which often need to be determined by properties of the data itself, rather than in advance. Issues of time, sequence, and context also play important roles in the study of educational data ”. (The International Educational Data Mining Society, 2019) Learn more in: Integrating MOOCs in Higher Education: Procedures and Tools for a Mutual Commitment to Quality

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Aims at understanding the learners’ learning behavior better to set and customize trainings. It requests algorithms to aggregate data collected from online learning systems to bring out patterns. The topic covers prediction, usage and results for pedagogical device improvement. Learn more in: Key Processes for the Performance of Work-Integrated Learning in HE: Focusing on Talents With a Winning-Foursome

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Data analysis techniques which help to extract hidden knowledge consisting of tasks including pattern discovery as well as predictive modelling , in the field of education. Learn more in: Role of Indian Print and Digital Media in Learning Analytics: A Tool to Sustain Education in the New Normal

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A research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings. Learn more in: The Design and Redesign of an Online Socio-Constructivist Course on Engineering Management: The Role of Learning Scenarios and Learning Analytics