O slideshow foi denunciado.
Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.
Learning
Machine
Michael
ZHANG
How to learn?
Learn from Experience
Computers Stop Squinting
and Open TheirEyes
Errorrates on a popularimage recognition
c...
Machine Learning
Algorithm
Data
Learning
Performance
C ourses
Demographi
c
Library Network Marks
 PredictStudentG rades
...
3. Data Presentation2. Data Analysis1. Data Acquisition
Reference: Learning Analytics in HigherEducation. A review ofUK an...
Case Studies
The UKis now starting to wake up to the possibilities that learning analytics
provides.
1.Traffic Lights and ...
Case Studies
The UKis now starting to wake up to the possibilities that learning analytics
provides.
1.Traffic Lights and ...
Próximos SlideShares
Carregando em…5
×

Machine learning for learning analytic in higher education enviroment

382 visualizações

Publicada em

The machine learning is an excellent technology to enhance teaching and learning in higher education. This presentation provides a brief introduction of how to achieve academic success through machine learning, specifically improve student learning performance and reduce the drop-out rate.

Publicada em: Tecnologia
  • Seja o primeiro a comentar

Machine learning for learning analytic in higher education enviroment

  1. 1. Learning Machine Michael ZHANG
  2. 2. How to learn? Learn from Experience Computers Stop Squinting and Open TheirEyes Errorrates on a popularimage recognition challenge. Source: Bloomberg
  3. 3. Machine Learning Algorithm Data Learning Performance C ourses Demographi c Library Network Marks  PredictStudentG rades  SupportDecision-Making  LowerDrop-O utRates  PredictC ourse Success
  4. 4. 3. Data Presentation2. Data Analysis1. Data Acquisition Reference: Learning Analytics in HigherEducation. A review ofUK and internationalpractice Fullreport. April201 6. Student APPStudent Consent Services Alert & Intervention Staff Dashboard Self-Declared Data StudentInfo System (ProjectTransform) E-Learning (Moodle) … Librarycheck in/out Learning Records Warehouse Learning Analytics Processor Machine Learning for Student Learning Analytics
  5. 5. Case Studies The UKis now starting to wake up to the possibilities that learning analytics provides. 1.Traffic Lights and Interventions: Signals at Purdue University 2.Analysing use of the VLE at the University of Maryland, Baltimore County 3.Identifying at-risk students at New York Institute of Technology 4.Fine-grained analysis of student data at California State University 5.Transferring predictive models to other institutions from Marist College 6.Enhancing retention at Edith Cowan University 7.Early alert at the University of New England 8.Developing an ‘analytics mind-set’ at the Open University 9.Predictive analytics at Nottingham Trent University 10.Analysing social networks at the University of Wollongong iLAVS
  6. 6. Case Studies The UKis now starting to wake up to the possibilities that learning analytics provides. 1.Traffic Lights and Interventions: Signals at Purdue University 2.Analysing use of the VLE at the University of Maryland, Baltimore County 3.Identifying at-risk students at New York Institute of Technology 4.Fine-grained analysis of student data at California State University 5.Transferring predictive models to other institutions from Marist College 6.Enhancing retention at Edith Cowan University 7.Early alert at the University of New England 8.Developing an ‘analytics mind-set’ at the Open University 9.Predictive analytics at Nottingham Trent University 10.Analysing social networks at the University of Wollongong iLAVS

×