Download Using Learning Analytics to Improve Learning Techniques

Using Learning Analytics to
Improve Learning Techniques
COMP 683 F12
David Cachia
3050444
Objective
 Improving the overall learning experience of students
and teachers.
 Personalize learning strategy by learning about the
student and how they react to different learning
styles.
 Once style(s) are realized, tailor testing and learning
material to cater to student needs.
Where is the data coming from?
 Student Testing
 Time elapsed per second
 Incorrect vs. Correct
 Environmental
 When is the student doing their tests?
 Student demographics
Where is the data coming from?
 Student Learning
 Learning Technique
 Visual, Auditory, Kinesthetic/Tactile(if possible)
 Cognitive Approaches (efficiency)
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Participative
Competitive
Collaborative
Independent/Dependent
 Environmental
 When is the student doing their learning?
 Student demographics
How will we analyze the data?
 Harness analytics technology to develop trends, forecasts,
and strategies for each learner.
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Various analytics tools (e.g. Google Analytics)
Data Correlation (e.g. Google Correlation)
Educational Data Mining (Romero, C., & Ventura, 2007)
KPIs (Key Performance Indicators)
 Student Success / Failure
 Time Stamps (user activity)
 All whilst ensuring data quality!
How we can improve learning
 By personalizing the educational experience the
student will go through various tests so we can learn
about the person.
 Since our LMS is adaptive to the learner, it will adjust
as we gather and analyze data about the student
 Strategies discussed by knewton (constantly assess
learning methods that work most efficiently)
 http://www.youtube.com/watch?v=LldxxVRj4FU
How we can improve learning
 Determine what is most efficiently challenges the student
 Use strengths to build confidence while encouraging student
to excel in weaker areas
 Provide teachers/teaching assistants vital information to
assist in learning
 Unique assignments, apply learning profile to student
 By personalizing student learning strategy it will empower
the student
 “Intelligent Curriculum”
CMS / LMS
 Ultimately the universal measurement of knowledge is
testing (or deliverables in the form of assignments,
essays, etc.)
 If the teaching material is not delivered efficiently,
effectively, or personally (tailored to student) we can
have mixed/negative response.
 Content Management Systems / Learning Management
Systems must provide student with enriched content
delivery methods.
Analytics Model
Student
Profile
Refinement
Learning
Profile
Data Mining
Data Analysis
& Reporting
Student Profile
 Depending on purpose and study stream
 Learner Demographics
 Student Race / Age / Time Zone / Language
 Perceived Strengths / Weaknesses (asked via
questionnaire) – also known as ‘self-identified’ info
 Interests (Social Media integration will provide great
insight)
 Character Building (use of Social Media, online behavior
to build digital understanding of individual)
Data Mining
 Information from Student Profile
 Social Media connection(Social Media integration will provide
great insight)
 Character Building (use of browser content [cookies] online
behavior to build digital understanding of individual)*
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YouTube Search
Google Search
Email conversations
*Privacy Concerns could be difficult here, in theory would be
excellent
 Student Testing and Learning Metrics (see slide ¾)
Data Analysis and Reporting
 Use of analytics technology to develop trends,
forecasts, and strategies for each learner.
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Various analytics tools (e.g. Google Analytics)
Data Correlation (e.g. Google Correlation)
Educational Data Mining (Romero, C., & Ventura, 2007)
Develop and use KPIs (Key Performance Indicators)
 Student Success / Failure
 Inform responsible person(s) of student progress via
report.
Learning Profile
 Based on reports and data analysis a learner profile is
created (and is constantly adjusted with new information)
 Learner profile identifies learner strengths and weaknesses
and leverages them for optimal learning and testing skill.
 E.g. student ‘Sally’ is taking a advanced history course at the college level.
 Sally is consistently has difficulties memorizing dates of historical events,
but has no issue recalling the significance of the event.
 Sally’s was learning strategy is traditional – text and pictures.
 Sally is introduced to auditory learning combined with visual, and
emphasizes or repeats portions that discuss dates.
Refinement
 The student learning profile is continually refined to
determine what works for the student.
 Learning strategies may vary subject to subject, and
learner profile efficiency will become increasingly
effective with more data mining and analysis.
Thank you for your time
 Thank you for your time – I hope you enjoyed this
presentation
 David Cachia – 3050444 – M.Sc student, Athasbasca
University