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Learning analytics: History, Applications, Art & Measurement

Learning analytics is 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. The growth of online learning since the 1990s, particularly in higher education, has contributed to the advancement of Learning Analytics as…

Language: English [EN]
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Learning analytics topic overview

The analysis highlights History, Applications, Art and Measurement as prominent areas in the source structure around Learning analytics.

Related topics
105
Source areas
10
Connected nodes
115
Extracted relationships
186
Concept neighborhoods
51
Bridge connections
115

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Historical contributions · 64 topics
Definition · 19 topics
Overview · 7 topics
Learning analytics versus educational data mining · 4 topics
Ethics and privacy · 3 topics
Learning analytics programs · 3 topics
Software · 2 topics
Analytic methods · 1 topics
Applications · 1 topics
Open learning analytics · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Definition

Learning analytics versus educational data mining

Historical contributions

Learning analytics programs

Analytic methods

Applications

Software

Ethics and privacy

Open learning analytics

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Learning analytics connects Entity context

The extracted context around Learning analytics shows recurring relationship patterns in the source. For example, Learning analytics → AI, Austin, Definition, Edx, George, Intro, Knowledge, LAK13, Learner, Learning, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, More, Retrieved, Siemens, Social Sciences, Texas, These, University Another extracted example is Learning analytics → Analytics Google Group, Department, Education, Education Analytics, Educational Data, Educational Data Mining, Gen Learning, International Conference Learning Analytics, KnowledgeLearning Analytics, Learning Analytics Research, Media Consortium, NMC, Society, SoLAR. Use these groups to spot repeated connection types before inspecting the individual relationships.

Learning analytics

Top relations

related to Historical contributions · 22
Learning analytics → AI, Austin, Definition, Edx, George, Intro, Knowledge, LAK13, Learner, Learning, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, More, Retrieved, Siemens, Social Sciences, Texas, These, University
related to External links · 14
Learning analytics → Analytics Google Group, Department, Education, Education Analytics, Educational Data, Educational Data Mining, Gen Learning, International Conference Learning Analytics, KnowledgeLearning Analytics, Learning Analytics Research, Media Consortium, NMC, Society, SoLAR
related to Learning analytics versus educational data mining · 13
Learning analytics → Baepler, Brooks, Columbia University, Differentiating, EDM, George Siemens, In, LA, MS, Murdoch, Regardless, Teachers College, They
related to Software · 13
Learning analytics → An, ENA, LOCO-Analyst, Much, Network Analysis, Social, Some, StREAM, Student Activity Monitor, Success System, The, UK, Useful
related to Learning analytics programs · 12
Learning analytics → Arlington, Baker, Columbia University, Fall, Masters, Pennsylvania, Ryan, Teachers College, Texas, The, University, Wisconsin
related to Learning analytics as an application of analytics · 11
Learning analytics → Analytics, Another, As, EDUCAUSE Learning Initiative, EDUCAUSE Program, ELI, From, In, Learning, New Media Consortium, NMC
related to Other contributions · 11
Learning analytics → Adam Cooper, Artificial, Business, Google Analytics, In, Information, Operational, Statistics, Such, The, Web
related to Social Network Analysis · 10
Learning analytics → Austrian-American Sociologist Paul Lazarsfeld, Citation, In, It, Lazarsfeld, One, SNA, Social, Sociology, That
has method · 9
Learning analytics → By, Content, Discourse, Disposition, ENA, Epistemic Network Analysis, For, Methods, Social
related to Learning analytics as an application of data science · 9
Learning analytics → Data, Dawson, Gašević, In, Joksimović, Kovanović, Siemens, The, Theory

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

analytics learning data analysis social network education learners development research systems students networks online educational used information student model mining

Learning analytics relationships Subject–Predicate–Object triples

TTTA extracted 186 structured relationships around Learning analytics. Examples in this analysis include Learning analytics → is a → measurement and Learning analytics → is a → use of intelligent data. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Learning analyticsis ameasurement0.90text
Learning analyticsis ause of intelligent data0.90text
decision treesinstance ofthis definition of analytics has gone further to incorporate elements of operations research0.80text
strategy maps to establish predictive modelsinstance ofthis definition of analytics has gone further to incorporate elements of operations research0.80text
to determine probabilities for certain courses of actioninstance ofthis definition of analytics has gone further to incorporate elements of operations research0.80text
Google Analytics report on web page visitsinstance oftools0.80text
references to websitesinstance oftools0.80text
brandsinstance oftools0.80text
other key terms across the internetinstance oftools0.80text
majorinstance ofMonitoring individual student performanceDisaggregating student performance by selected characteristics0.80text
year of studyinstance ofMonitoring individual student performanceDisaggregating student performance by selected characteristics0.80text
ethnicityinstance ofMonitoring individual student performanceDisaggregating student performance by selected characteristics0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Learning analytics bring nearby vocabulary together. In this analysis, examples include Learning, Data and Analysis. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Learning analytics
    • Learning
    • Data
    • Analysis
    • Education
    • Educational
    • Social
    • Mining
    • Development
    • Used
    • Learners
    • Process
    • Model
  • learning analytics
    • Learning
    • Data
    • Analysis
    • Educational
    • Education
    • Social
    • Mining
    • Development
    • Network
    • Interactions
    • Student
    • Information
  • online learning
    • Open
    • Student
    • Learner
    • Tools
    • Education
    • Educational
    • Social
    • Models
    • Researchers
    • Interactions
    • Mining
    • Development
  • higher education
    • Mining
    • Student
    • Learning
    • Information
    • Educational
    • Research
    • Definition
    • Modelling
    • Stakeholders
    • Social
    • Knowledge
    • Online
  • social media
    • Network
    • Networks
    • Interactions
    • Tools
    • Student
    • Use
    • Mining
    • Used
    • Definition
    • Modelling
    • One
    • Stakeholders
  • social networks
    • Network
    • Networks
    • Social
    • Interactions
    • Tools
    • Student
    • Use
    • Mining
    • Used
    • Systems
    • Definition
    • Modelling
  • massive open online courses
    • Open
    • Student
    • Learner
    • Tools
    • Models
    • Researchers
    • Interactions
    • Development
    • Definition
    • Design
    • Modelling
    • Methods
  • general morphological analysis
    • Network
    • Social
    • Analytics
    • Data
    • Education
    • Learning
    • Models
    • Definition
    • Methods
    • Process
    • Interactions
    • Mining

Connections between topic areas Semantic bridges

For Learning analytics, one of the stronger structural bridges in this analysis connects Learning analytics with Historical contributions. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Learning analytics — Historical contributions · splits 51 ⟂ 65
Learning analytics — Definition · splits 96 ⟂ 20
Learning analytics — Overview · splits 108 ⟂ 8
Learning analytics — Learning analytics versus educational data mining · splits 111 ⟂ 5
Learning analytics — Learning analytics programs · splits 112 ⟂ 4
Learning analytics — Ethics and privacy · splits 112 ⟂ 4
Learning analytics — Software · splits 113 ⟂ 3

Map overview Semantic statistics

Learning analytics

Nodes116
Edges115
Triples186
Avg. degree1.98
Density0.017241
Components1

Source & methodology

TTTA analyzes the structure around Learning analytics to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Learning analytics · EN edition · Analysis: TopicsToTalkAbout

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