Learning analytics

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.wikipedia
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Educational data mining

education
A related field is educational data mining.
The field is closely tied to that of learning analytics, and the two have been compared and contrasted.

Dragan Gasevic

GasevicGašević
In 2015, Gašević, Dawson, and Siemens argued that computational aspects of learning analytics need to be linked with the existing educational research in order for Learning Analytics to deliver its promise to understand and optimize learning.
Dragan Gašević is Professor of Learning Analytics at Monash University.

George Siemens

Siemens
In 2015, Gašević, Dawson, and Siemens argued that computational aspects of learning analytics need to be linked with the existing educational research in order for Learning Analytics to deliver its promise to understand and optimize learning. But this definition has been criticised by George Siemens and Mike Sharkey. George Siemens takes the position that educational data mining encompasses both learning analytics and academic analytics, the former of which is aimed at governments, funding agencies, and administrators instead of learners and faculty.

Ryan S. Baker

Baker
The first graduate program focused specifically on learning analytics was created by Ryan S. Baker and launched in the Fall 2015 semester at Teachers College, Columbia University.
He also founded the world's first Masters program in Learning analytics.

Educational technology

e-learningICTeLearning
The growth of online learning during the 1990s, 2000s y 2010s, particularly in higher education, has contributed to the advancement of Learning Analytics as student data can be captured and made available for analysis.
Learning analytics is the field that focuses on analyzing and reporting data about student's activities in order to facilitate learning.

Morphological analysis (problem-solving)

Morphological analysisgeneral morphological analysis
It uses a general morphological analysis (GMA) to divide the domain into six "critical dimensions".

Analytics

data analyticsanalyticadvanced analytics
The broader term "Analytics" has been defined as the science of examining data to draw conclusions and, when used in decision making, to present paths or courses of action. Another approach for defining Learning Analytics is based on the concept of Analytics interpreted as the process of developing actionable insights through problem definition and the application of statistical models and analysis against existing and/or simulated future data.

Decision-making

decision makingdecisionsdecision
The broader term "Analytics" has been defined as the science of examining data to draw conclusions and, when used in decision making, to present paths or courses of action.

Decision tree

decision treesdecision rulesRegression trees
During the decade of 2010, this definition of analytics has gone further to incorporate elements of operations research such as decision trees and strategy maps to establish predictive models and to determine probabilities for certain courses of action.

Strategy map

strategy mapsBusiness strategy mapping
During the decade of 2010, this definition of analytics has gone further to incorporate elements of operations research such as decision trees and strategy maps to establish predictive models and to determine probabilities for certain courses of action.

Predictive modelling

predictive modelingpredictive modelpredictive models
During the decade of 2010, this definition of analytics has gone further to incorporate elements of operations research such as decision trees and strategy maps to establish predictive models and to determine probabilities for certain courses of action.

Statistical model

modelprobabilistic modelstatistical modeling
Another approach for defining Learning Analytics is based on the concept of Analytics interpreted as the process of developing actionable insights through problem definition and the application of statistical models and analysis against existing and/or simulated future data.

Educause

EDUCOM
In 2016, a research jointly conducted by the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI) -an EDUCAUSE Program- describes six areas of emerging technology that will have had significant impact on higher education and creative expression by the end of 2020.

Higher education

higher learninghigherHigher Education Institution
The growth of online learning during the 1990s, 2000s y 2010s, particularly in higher education, has contributed to the advancement of Learning Analytics as student data can be captured and made available for analysis. In 2016, a research jointly conducted by the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI) -an EDUCAUSE Program- describes six areas of emerging technology that will have had significant impact on higher education and creative expression by the end of 2020.

Web analytics

analyticswebsite analyticsanalysis
As a result of this research, Learning analytics was defined as an educational application of web analytics aimed at learner profiling, a process of gathering and analyzing details of individual student interactions in online learning activities.

E-learning (theory)

Multimedia learninge-learningE-learning theory
As a result of this research, Learning analytics was defined as an educational application of web analytics aimed at learner profiling, a process of gathering and analyzing details of individual student interactions in online learning activities.

Analytics in higher education

Academic Analyticsanalytics
George Siemens takes the position that educational data mining encompasses both learning analytics and academic analytics, the former of which is aimed at governments, funding agencies, and administrators instead of learners and faculty.

Master of Science

M.S.MScMS
In the MS program offering in learning analytics at Teachers College, Columbia University, students are taught both EDM and LA methods.

Teachers College, Columbia University

Teachers CollegeColumbia University Teachers CollegeColumbia Teachers College
The first graduate program focused specifically on learning analytics was created by Ryan S. Baker and launched in the Fall 2015 semester at Teachers College, Columbia University. In the MS program offering in learning analytics at Teachers College, Columbia University, students are taught both EDM and LA methods.

Machine learning

machine-learninglearningstatistical learning
While the fields of artificial intelligence (AI), statistical analysis, machine learning, and business intelligence offer an additional narrative, the main historical roots of analytics are the ones directly related to human interaction and the education system.

Business intelligence

BIBusiness Intelligence (BI)Business discovery
While the fields of artificial intelligence (AI), statistical analysis, machine learning, and business intelligence offer an additional narrative, the main historical roots of analytics are the ones directly related to human interaction and the education system.

Interpersonal relationship

relationshiprelationshipsinterpersonal relationships
While the fields of artificial intelligence (AI), statistical analysis, machine learning, and business intelligence offer an additional narrative, the main historical roots of analytics are the ones directly related to human interaction and the education system.

Education

teachingeducationaleducationist
While the fields of artificial intelligence (AI), statistical analysis, machine learning, and business intelligence offer an additional narrative, the main historical roots of analytics are the ones directly related to human interaction and the education system.

Social science

social sciencessocial scientistsocial
More in particular, the history of Learning Analytics is tightly linked to the development of four Social Sciences’ fields that have converged throughout time.