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What is Learning Analytics

Empowering Businesses With Collaborative Enterprise Architecture Frameworks
Data Analytics on data from the education sector referred to as educational data.
Published in Chapter:
Influence of Constant Returns to Scale and Variable Returns to Scale Data Envelopment Analysis Models in ICT Infrastructure Efficiency Utilization
Yinka Oyerinde (University of South Africa, South Africa) and Felix Bankole (University of South Africa, South Africa)
DOI: 10.4018/978-1-5225-8229-8.ch007
Abstract
A lot of research has been done using Data Envelopment Analysis (DEA) to measure efficiency in Education. DEA has also been used in the field of Information and Communication Technology for Development (ICT4D) to investigate and measure the efficiency of Information and Communication Technology (ICT) investments on Human Development. Education is one of the major components of the Human Development Index (HDI) which affects the core of Human Development. This research investigates the relative efficiency of ICT Infrastructure Utilization on the educational component of the HDI in order to determine the viability of Learning Analytics using DEA for policy direction and decision making. A conceptual model taking the form of a Linear Equation was used and the Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) models of the Data Envelopment Analysis were employed to measure the relative efficiency of the components of ICT Infrastructure (Inputs) and the components of Education (Outputs). Results show a generally high relative efficiency of ICT Infrastructure utilization on Educational Attainment and Adult Literacy rates, a strong correlation between this Infrastructure and Literacy rates as well, provide an empirical support for the argument of increasing ICT infrastructure to provide an increase in Human Development, especially within the educational context. The research concludes that DEA as a methodology can be used for macroeconomic decision making and policy direction within developmental research.
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Role of Indian Print and Digital Media in Learning Analytics: A Tool to Sustain Education in the New Normal
It is a process of collecting, organizing, and analyzing digital data related to student activities and teaching-learning system.
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Learner Engagement in Blended Learning
The collection and analysis of data regarding learning performance and activity in order to understand the learning process and help individual students succeed.
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The Design and Redesign of an Online Socio-Constructivist Course on Engineering Management: The Role of Learning Scenarios and Learning Analytics
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.
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Integrating Assessment, Feedback, and Learning Analytics in Educational Games: Literature Review and Design of an Assessment Engine
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Current Status and Future Directions of Blended Learning Models
The collection and analysis of data regarding learning performance and activity in order to understand the learning process and help individual students succeed.
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Learning Analytics in the Monitoring of Learning Processes: 3D Educational Collaborative Virtual Environments
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.
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A Macro-Scale MOOC Analysis of the Socioeconomic Status of Learners and Their Learning Outcomes
It defines the process of collecting, processing, and analyzing educational data to improve learning and the context where it takes place.
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Exploring Datafication for Teaching and Learning Development: A Higher Education Perspective
Measuring and analysing learners and their contexts for the purpose of optimising learning within a desired learning setting.
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Educational Data Mining and Learning Analytics in the 21st Century
It is an interdisciplinary scientific field which examines the way in which data can be used to improve the overall learning quality and to address a variety of educational challenges and issues.
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Massive Open Online Courses (MOOCs) and the Technologies That Support Learning with Them
Combined automatic data collection and analysis that tracks participant activity and provide statistics on how participants approach course content and activities.
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Competency-Based Education in Higher Education
The analysis and application of historical and dynamic student data to improve learning outcomes and academic support.
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How Innovative Technologies Are Improving the Delivery of E-Assessment in Higher Education
Consists in the collection, storage, analysis, and presentation of data related to the learning process.
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A Framework for Online Learning Analytics in K-12 Classrooms as a Precursor for Personalized Learning: Emergent Practices in Schools
Learning Analytics (LA) is about measuring, collecting, analyzing, and reporting on data regarding learners and their environments.
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Teaching Using the Cloud: The Author's Personal Cloudy Reflections!
Measuring, collecting, analyzing and reporting of data about learners to gain insights in to understand and optimize learning.
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New Personal Learning Ecosystems: A Decade of Research in Review
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.
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Challenges and Opportunities for Active and Hybrid Learning related to UNESCO Post 2015
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.
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Indicators for Cooperative, Online-Based Learning and Their Role in Quality Management of Online Learning
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Insights Into Young Children's Coding With Data Analytics
The process in collecting and analyzing data from learners to better understand and optimize their learning processes.
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Libraries in a World of Data: How to Move Forward While Protecting Users
Data analyses performed on educational data (e.g., students’ scores, assessments, backgrounds) with the intention of using the findings to inform better educational services.
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The Applications of Learning Analytics to Enhance Learning and Engagement in Introductory Programming Instruction
The collection, analysis, and interpretation of data generated from educational activities and digital learning environments to gain insights and inform decision-making. It involves applying data science techniques and statistical methods to understand and improve the learning process and outcomes.
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Future Opportunities for Personalized Online Global Learning
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.
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Creating a Culture of Innovation: The Case of the Pedagogical Innovation Center at the Polytechnic of Porto
Learning analytics involves the collection, analysis, and interpretation of data generated from learning activities to inform instructional decisions and improve learning outcomes. It enables educators to gain insights into learner progress, engagement, and performance.
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Academic Technology for Competency-Based Education in Higher Education
The analysis and application of historical and dynamic student data to improve learning outcomes and academic support.
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Current State of Learning Analytics: A Synthesis Review Based on the Combination of Activity Theory and Pedagogy
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.
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Two Case Studies of Online Discussion Use in Computer Science Education: Deep vs. Shallow Integration and Recommendations
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.
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Learning Analytics for Smart Classrooms
Measurement, collection, and analysis of data on learners and their context, to optimize learning and improve educational practice.
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Learning Analytics
Advanced data analysis for understanding and optimizing learning and teaching. It is an emerging field of technology-enhanced education.
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Learning Management Systems in a Changing Environment
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.
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Key Processes for the Performance of Work-Integrated Learning in HE: Focusing on Talents With a Winning-Foursome
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.
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Scalable Data Warehouse Architecture: A Higher Education Case Study
Understanding and optimizing learning and learning environments through the measurement, collection, analysis and reporting of data about learners and learner contexts.
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Using xAPIs for Monitoring Behavioral Lessons in Augmented Reality
Collection of data useful for monitoring students in educational settings
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Unveiling the Potential of Learning Analytics in Game-Based Learning: Case Studies With a Geometry Game
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Reflections on Adaptive Learning Analytics: Adaptive Learning Analytics
Appropriate technology to facilitate learning and increase performance ethics of creating, using and evaluating processes and resources is the application
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Using Learning Analytics to Improve Engagement, Learning, and Design of Massive Open Online Courses
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.
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Fostering K-12 Learners' Willingness to Communicate Through Technology-Enhanced Practices With a Perspective of Learner Analytics
It is the collection, analysis, and description of data about learners and contexts where learning takes place.
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Exploring the Challenges and Applications of Generative AI on Engineering Education in Mexico
Learning analytics involves the collection, analysis, and interpretation of data related to educational activities and environments. It leverages data to gain insights into student learning patterns, performance, and behavior, enabling educators to make data-driven decisions and improve learning outcomes.
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Concept Science Evidence-Based MERLO Learning Analytics
A procedure that use big data for measurement, analysis and reporting of information on individual learners for optimizing learning.
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Computer-Driven Technologies for Effective Teaching in K-12 Classrooms in Nigeria
The use of technology to collect, analyze, and report data about learners for the purpose of understanding and optimizing learning.
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Mobile Learning in the Era of IoT: Is Ubiquitous Learning the Future of Learning?
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.
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Integrating MOOCs in Higher Education: Procedures and Tools for a Mutual Commitment to Quality
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.
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The Interplay Between In-Game Activity, Learning Gains, and Enjoyment in a Serious Game on STEM
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.
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VLE Meets VW
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).
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Mission HydroSci: Distance Learning through Game-Based 3D Virtual Learning Environments
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.
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Valuing Social Responsibility in the Era of Data Analytics: A Process Model for Effective Practice
The use of data to identify specific curricular or instructional strategies to support students in achieving identified learning outcomes.
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Online Learning: Challenges and Suggestions to Enhance Student Engagement in Higher Education Institutions
Learning analytics is the collection, analysis, and interpretation of data from online learning environments to understand and enhance the learning process and outcomes.( Siemens, G., & Long, P., 2011 )
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Distance Learning in Chemical Engineering: Past, Present, and Future
Evaluation of learning and learners by analysis (often statistical) of data derived from learner behaviour and response.
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Multimodal Learning Analytics for Educational Digital Storytelling: A Proposition for Evaluation Methods and Techniques
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.
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Sustainable Quality Education During the Pandemic and Beyond: Challenges and Solutions for Higher Education Institutions
A practical field of study that aims to analyze the increasingly complex data generated by the students’ activities within a digital learning environment to offer instant analysis, progress monitoring, and guidance for all stakeholders of learning.
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Designing Social Learning Analytics for Collaborative Learning Using Virtual Reality, Life Skill, and STEM Approach
Learning Analytics involves the measurement, collection, analysis, and reporting of data about learners and their contexts to understand and optimize learning environments.
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“Solve the Big Problems”: Leading Through Strategic Innovation in Blended Teaching and Learning
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.
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Main Features and Types of Educational Use of Wiki Technology
It involves the analysis of educational data in order to enhance learning and learning environments.
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Enhancing Self-Regulated Learning With Artificial Intelligence-Powered Learning Analytics
It is the process of collecting, analyzing, and interpreting data from learning environments.
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Artificial Intelligence in E-Learning Systems
Compilation, quantification, analysis, and notification of information related to students in relation to their individual characteristics.
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Developments in MOOC Technologies and Participation Since 2012
Combined automatic data collection and analysis that tracks participant activity and provide statistics on how participants approach course content and activities.
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Disruptive Democratisers?: The Complexities and Incongruities of Scale, Diversity and Personalisation in MOOCs
The measurement, collection, analysis and application of data about learners, including their learning and contexts, and is used to help to optismise learning experiences.
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E-Collaboration in Educational Organizations: Opportunities and Challenges in Virtual Learning Environments and Learning Spaces
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.
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Using Video Gameplay to Measure Achievement for Students with Disabilities: A New Perspective to Grading and Achievement Reporting
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.
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