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Web Analytics
Web analytics involves the collection and analysis of data generated by interaction with a website or a Web-based application. Web analytics can be used to enhance the performance of the site or application and to inform an organization of use and impact.
Web analytics have been used to investigate users’ characteristics and interaction patterns. Web analytics can be used to predict which products might be of interest to specific customers. The analysis of page visits and site usage can help determine needs and focus. Web analytics can also be used in digital forensics to detect security threats and gather evidence for law enforcement. In the academic world, Web analytics can support organizational planning. For example, as more and more library resources and services are moving online, visits to an online catalogue system can aid in determining subscriptions and technical support for library services. The ubiquity of distributed information invites the integration of Web analytics in many sectors. Educational institutions can track traffic flow on websites, calibrate displays, and manage Web-based learning systems.
This entry begins with a discussion of the techniques and tools used for Web analytics. Next, it examines how Web analytics are used in online education. The final section of this entry focuses on the implications of Web analytics.
Techniques and Tools for Web Analytics
Clicks and page requests are the essential components of Web analytics. According to Bernard J. Jansen, Web analytics started in the 1960s with the analysis of Web logs. These Web logs can be categorized as transaction or search logs. Transaction log analysis (TLA) documents and measures direct interactions (e.g., clicks, page views, length of sessions); search log analysis (SLA) tracks searching behaviors (e.g., keywords used and recommendations followed).
Web analytics depends on quantitative data provided by host or third-party servers. Small packets of data called cookies are sent to a user. These cookies gather and send relevant information to a server system. This is known as server-side data collection. However, accurate data collection through this method becomes challenging. Internet service providers assign dynamic IP addresses to computers. User security options may block some or all cookies. Client-side data collection is an alternative. With this approach, the uniqueness, accuracy, and frequency of visits can be captured with snippets or tags written with various programming languages. These tags are usually embedded in the web-page requested by clients and can send relevant data such as length of page load to a server. A hybrid model of using both methods is often recommended, according to Brian Clifton.
As human-computer interactions on the Web have become predominantly omnipresent in daily life, Web analytics also uses qualitative techniques like surveys, interviews, and lab experiments to make more meaningful interpretation and reports. To determine quantitative or qualitative methods for Web analytics, key performance indicators (KPIs) need to be established. For example, a university that adopts a new learning management system (LMS) may experience unusually high demand for chat-based technical support. The objectives of an analysis might include evaluating the Web-based resources and services and assessing the need to adjust the personnel assigned to technical support. The KPIs can include paths used to reach the support page, clicks within the LMS, session length, readability of support materials, visibility of icons, and frequency of chat sessions. Each of these KPIs will then determine how the segmentation of Web data will be configured, collected, analyzed, and reported.
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- Adaptive Learning Systems
- Adaptive and Responsive Websites
- Adaptive Learning Software and Platforms
- Avatars and Agents in Virtual Systems
- Cloud-Based Adaptive Systems
- Data Mining and Recommendation Engines
- Design and Creation of Adaptive Educational Systems
- Dynamic Student Profiles
- Intelligent Tutoring Systems
- Learners and Instructional Control in Adaptive Systems
- Learning Analytics
- Learning Analytics for Programming Competencies
- Learning Analytics for Writing Competencies
- Personalized Learning and Instruction
- Student Modeling
- System and Learner Control in Adaptive Systems
- Technologies That Learn and Adapt to Users
- Adult Education and Workforce Development
- Diffusion of New Technologies in the Workplace
- Distance Learning for Degree Completion for Working Adults
- Distance Learning for Professional Development
- Education in Workplace Settings
- Information and Communication Technologies: Competencies in the 21st Century Workforce
- Information and Communication Technologies: Knowledge Management
- Information and Communication Technologies: Organizational Learning
- Learning in the Defense Sector With Simulated Systems
- Learning in the Health Sector With Simulated Systems
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- Technology and Information Literacy
- Training Using Virtual Worlds
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- Web 2.0/3.0 in the Workplace
- Agent Technologies
- Analysis of Educational Needs and Requirements
- Causal Influence Diagrams
- Cognitive Task Analysis
- Competency Models and Frameworks
- Critical Decision Method
- Knowledge and Skill Hierarchies
- Knowledge Elicitation
- Learning Analytics
- Learning Analytics for Programming Competencies
- Learning Analytics for Writing Competencies
- Skill Decomposition
- Structural Learning Theory
- Think Aloud Protocol Analysis
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- Communication Technologies
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- Blogs as a Communication Tool
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- Cybersecurity
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- E-Portfolio Technologies
- E-Portfolios in Higher Education
- E-Portfolios in K–12 Education
- Learning Analytics
- Learning Analytics for Programming Competencies
- Learning Analytics for Writing Competencies
- Recommendation Engines
- Reflection and Preflection Prompts and Scaffolding
- Repair Theory
- Student Response Systems
- Game-Based Learning
- Alignment of Games and Learning Goals
- Assessment in Game-Based Learning
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- Games in Business and Industry Settings
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- Games in Higher Education
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- Gamification
- Management Flight Simulators
- Serious Games
- Video Games and Student Assessment
- History of Educational Technology
- Informal Learning
- Design of Engaging Informal Learning Places and Spaces
- Informal Learning Strategies
- Information and Communication Technologies for Informal Learning
- Integrating Informal Learning with Programs at the College/University Level
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- Learning in Museums
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- Measuring Learning in Informal Contexts
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- Virtual Tours
- Information Tools and Technologies
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- Cloud-Based Adaptive Systems
- Collaborative Communication Tools and Technologies
- E-Book Standards
- Geographic Information Systems and Education
- Information and Communication Technologies for Formal Learning
- Information and Communication Technologies for Informal Learning
- Information and Communication Technologies in Developed Countries
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- Information and Communication Technologies: Competencies in the 21st Century Workforce
- Information and Communication Technologies: Knowledge Management
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- Elaboration Theory
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- Intellectual Property
- Internet of Things
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- Metatagging of Learning Objects and Apps
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- 3G and 4G Networks
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- Radio Frequency Identification in Education
- Remote Sensing Technologies
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- Touch-Based and Gesture-Based Devices
- Wearable Learning Environments
- Open Access Resources
- Performance Technologies
- Psychological and Social Issues and Perspectives
- Accelerated Learning
- Affective Factors in Learning, Instruction, and Technology
- ARCS Model
- Behavioral Factors in Learning, Instruction, and Technology
- Cognition and Human Learning
- Cognitive Load Theory
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- Cyberbullying
- Digital Divide
- Dual Coding Theory
- Educational Technology, Philosophical Perspectives on
- Experiential Learning
- Human-Computer Interaction
- Intersubjectivity and Educational Technology
- Motivation, Emotion Control, and Volition
- Neuroscience and Learning
- Situated Learning
- Vulnerability in Learning
- Simulation and Modeling Technologies
- Social Media
- Second Self
- Collaboration and Social Networking
- Integrating Social Media Into Learning and Instruction
- Measuring Contacts and Interactions in Social Networks
- New Visual World and Future Competencies
- Semantic Web
- Social Media and Networking
- Social Media in Elementary School Settings
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- Social Media in Secondary School Settings
- Social Media in the Workplace
- Social Media, Identity in
- Social Network Analysis
- Social Networking
- Web 2.0 and Beyond
- Special Education
- Assistive Technology
- Assistive Technology for Persons With Autism Spectrum Disorder
- Gesture-Based Learning and Instructional Systems
- Technologies for Persons With Dyslexia
- Technologies for Persons With Hearing Impairments
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- Universal Design
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- Teaching and Learning With Technology
- Badges and Skill Certification
- Collaborative Learning and 21st-Century Skills
- Collaborative Learning With Technology
- Leadership in E-Learning
- Learning and Instructional Apps
- Learning by Modeling
- Learning Objects
- Massive Open Online Courses
- Measuring and Assessing TPACK (Technological Pedagogical Content Knowledge)
- Natural Language Processing in Learning Environments
- Pedagogical Knowledge
- Personal Learning Environments
- Seamless Learning
- Self-Regulated E-Learning Design Principles
- Technologies for Critical Thinking Development
- Technologies for Gifted Students
- Technologies in Arts Education
- Technologies in Humanities Education
- Technologies in Mathematics Education
- Technologies in Medical Education
- Technologies in Science Education
- Technologies Supporting Self-Regulated Learning
- Technologies to Support Engineering Education
- Technology Knowledge
- Technology, Pedagogy, and the Learning Society
- TPACK (Technological Pedagogical Content Knowledge)
- TPACK (Technological Pedagogical Content Knowledge): Implications for 21st-Century Teacher Education
- Twenty-First-Century Technology Skills
- Virtual Learning Environments
- Virtual Schools and Programs
- Virtual Teams
- Technology Diffusion and Integration
- Change Agency
- Diffusion of Distance Education
- Diffusion of New Technologies in the Workplace
- Disruptive Innovations
- Disruptive Technologies
- Early Adopters
- Emerging Educational Technologies
- Innovators and Risk Takers in Education
- Predicting Change and Adoption of Technology Innovations
- Systemic Change and Educational Technology
- Technology Integration
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