What is Learning Analytics

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Data Analytics on data from the education sector referred to as educational data. Learn more in: Influence of Constant Returns to Scale and Variable Returns to Scale Data Envelopment Analysis Models in ICT Infrastructure Efficiency Utilization

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It is a process of collecting, organizing, and analyzing digital data related to student activities and teaching-learning system. 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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The collection and analysis of data regarding learning performance and activity in order to understand the learning process and help individual students succeed. Learn more in: Learner Engagement in Blended Learning

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The measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. Learn more in: The Design and Redesign of an Online Socio-Constructivist Course on Engineering Management: The Role of Learning Scenarios and Learning Analytics

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The collection, analysis, and visualization of data associated with a learning process. Learn more in: Integrating Assessment, Feedback, and Learning Analytics in Educational Games: Literature Review and Design of an Assessment Engine

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The collection and analysis of data regarding learning performance and activity in order to understand the learning process and help individual students succeed. Learn more in: Current Status and Future Directions of Blended Learning Models

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An evidence-based approach that from data generated by students as they learn, to allow are measured and analysis for purposes of understanding and optimising learning and the environments in which it occurs. Learn more in: Learning Analytics in the Monitoring of Learning Processes: 3D Educational Collaborative Virtual Environments

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Measuring and analysing learners and their contexts for the purpose of optimising learning within a desired learning setting. Learn more in: Exploring Datafication for Teaching and Learning Development: A Higher Education Perspective

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Combined automatic data collection and analysis that tracks participant activity and provide statistics on how participants approach course content and activities. Learn more in: Massive Open Online Courses (MOOCs) and the Technologies That Support Learning with Them

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The analysis and application of historical and dynamic student data to improve learning outcomes and academic support. Learn more in: Competency-Based Education in Higher Education

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Consists in the collection, storage, analysis, and presentation of data related to the learning process. Learn more in: How Innovative Technologies Are Improving the Delivery of E-Assessment in Higher Education

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Measuring, collecting, analyzing and reporting of data about learners to gain insights in to understand and optimize learning. Learn more in: Teaching Using the Cloud: The Author's Personal Cloudy Reflections!

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The measurement, collection, and analysis and reporting of data about learners and their contexts, for the purpose of understanding and optimizing learning and the environments in which learning occurs. Learn more in: New Personal Learning Ecosystems: A Decade of Research in Review

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Learning analytics is the measurement, collection, analysis, and reporting of data on learners and their contexts for the purposes of understanding and optimizing learning and the environments in which learning occurs. Learn more in: Challenges and Opportunities for Active and Hybrid Learning related to UNESCO Post 2015

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The collection and analysis of data about learning and learning context. Learn more in: Indicators for Cooperative, Online-Based Learning and Their Role in Quality Management of Online Learning

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The process in collecting and analyzing data from learners to better understand and optimize their learning processes. Learn more in: Insights Into Young Children's Coding With Data Analytics

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Data analyses performed on educational data (e.g., students’ scores, assessments, backgrounds) with the intention of using the findings to inform better educational services. Learn more in: Libraries in a World of Data: How to Move Forward While Protecting Users

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Learning analytics refers to the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. Learn more in: Future Opportunities for Personalized Online Global Learning

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The analysis and application of historical and dynamic student data to improve learning outcomes and academic support. Learn more in: Academic Technology for Competency-Based Education in Higher Education

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Learning analytics aims at establishing a virtuous circle between teaching and learning process in the education environment through the analysis of student-centered data according to certain algorithm. Learn more in: Current State of Learning Analytics: A Synthesis Review Based on the Combination of Activity Theory and Pedagogy

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The collection, measurement, analysis, and reporting of data about learners, learning environments, and learning so that it can be acted upon to improve teaching or learning. Learn more in: Two Case Studies of Online Discussion Use in Computer Science Education: Deep vs. Shallow Integration and Recommendations

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Advanced data analysis for understanding and optimizing learning and teaching. It is an emerging field of technology-enhanced education. Learn more in: Learning Analytics

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Learning analytics is the collection, measurement, analysis and reporting of data about learners and their learning activities, for purposes of understanding and optimizing learning outcomes and processes. Learn more in: Learning Management Systems in a Changing Environment

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Refers to measuring, collecting, analyzing and reporting the data provided about the learners and their training context to optimize the learning process, as well as to understand it in order to adapt pedagogical devices for tailored solutions. Aside from ethics, the issue lies in the selection of the right data for the learning goal because the learners interact with the contents and individual privacy choice biases the data. The target is automated methods for the processing of digital data and inference-drawing with respect to learning, trying to explain the relationships from “click to construct”, leading to the global challenge of Learning Analytics dashboard for measurement of the learning resources use with respect to a tailored training plan that can evolve and for recommendations. 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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Understanding and optimizing learning and learning environments through the measurement, collection, analysis and reporting of data about learners and learner contexts. Learn more in: Scalable Data Warehouse Architecture: A Higher Education Case Study

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A collection of students-related data and their analysis in the educational context. Learn more in: Unveiling the Potential of Learning Analytics in Game-Based Learning: Case Studies With a Geometry Game

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Appropriate technology to facilitate learning and increase performance ethics of creating, using and evaluating processes and resources is the application Learn more in: Reflections on Adaptive Learning Analytics: Adaptive Learning Analytics

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Is defined by The University of Adelaide as the practice of developing actionable insights through the collection, analysis and reporting of data about participants and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. Learn more in: Using Learning Analytics to Improve Engagement, Learning, and Design of Massive Open Online Courses

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A procedure that use big data for measurement, analysis and reporting of information on individual learners for optimizing learning. Learn more in: Concept Science Evidence-Based MERLO Learning Analytics

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The use of technology to collect, analyze, and report data about learners for the purpose of understanding and optimizing learning. Learn more in: Computer-Driven Technologies for Effective Teaching in K-12 Classrooms in Nigeria

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The extraction of knowledge from educational procedure(s). Tracking and processing statistics about the learners’ /class’s behavior may lead to powerful conclusions and serious decisions. Learn more in: Mobile Learning in the Era of IoT: Is Ubiquitous Learning the Future of Learning?

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Measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. Learn more in: Integrating MOOCs in Higher Education: Procedures and Tools for a Mutual Commitment to Quality

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This field of research collects data from the learners and the educational context where the education is taking place and applies quantitative and qualitative methods to understand and improve the learning process and the context where it is happening. Learn more in: The Interplay Between In-Game Activity, Learning Gains, and Enjoyment in a Serious Game on STEM

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All the data generated by learners when interacting with a learning environment is saved and processed in a way to be employed as further information is extracted that is specific to a unique learner. Such analytics provide customized information as well as making use of all the data points collected to assess the learner’s performance (Montebello, 2018b). Learn more in: VLE Meets VW

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Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. Learn more in: Mission HydroSci: Distance Learning through Game-Based 3D Virtual Learning Environments

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The use of data to identify specific curricular or instructional strategies to support students in achieving identified learning outcomes. Learn more in: Valuing Social Responsibility in the Era of Data Analytics: A Process Model for Effective Practice

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Evaluation of learning and learners by analysis (often statistical) of data derived from learner behaviour and response. Learn more in: Distance Learning in Chemical Engineering: Past, Present, and Future

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The work of scanning through large datasets to discover actionable insights in support of student learning; products arising from such work; related to the fields of data science, educational data mining, and/or business intelligence. Learn more in: “Solve the Big Problems”: Leading Through Strategic Innovation in Blended Teaching and Learning

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It involves the analysis of educational data in order to enhance learning and learning environments. Learn more in: Main Features and Types of Educational Use of Wiki Technology

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Combined automatic data collection and analysis that tracks participant activity and provide statistics on how participants approach course content and activities. Learn more in: Developments in MOOC Technologies and Participation Since 2012

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The measurement, collection, analysis and application of data about learners, including their learning and contexts, and is used to help to optismise learning experiences. Learn more in: Disruptive Democratisers?: The Complexities and Incongruities of Scale, Diversity and Personalisation in MOOCs

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The measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. Educators can use learning analytics from advanced learning systems to monitor and intervene in students’ performance depending on their individual progress. Learn more in: E-Collaboration in Educational Organizations: Opportunities and Challenges in Virtual Learning Environments and Learning Spaces

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An embedded or external program that collects, measures, analyzes, and reports of data about learners and their contexts, for the purpose of understanding and optimizing learning. Learn more in: Using Video Gameplay to Measure Achievement for Students with Disabilities: A New Perspective to Grading and Achievement Reporting