Driving
Modern Day
Education
with
A case of
Chulalongkorn University
myCourseVille : March 2017
Agenda
•
•
•
•
•
The “Many” Needs of Modern Day Education
The story of a Home-grown Solution
From “LMS” to “Education Platform”
Learning Analytics
Immediate Directions
myCourseVille : March 2017
Modern Day Education
Web/E-learning Tools
Accessing classes via Mobiles
Class Communication
Organizing
Materials
Assessments
Rosters
Delivering
Active Learning
Flipped Classroom
Blended Learning
Getting up-to-date with classes
Social Networking
Accessing teaching staffs
Teachers
Learners
Schools
Learning/Career paths
Registration
Course Evaluation
Integrated Information System
Implementing Education Framework
Accreditation
myCourseVille : March 2017
Life-long Learning
Online Courses
E-portfolio
Timeline
Social-Network
centered
2011-2013
•
•
•
•
Always on with a Social Network Account
Experimental Look & Feel
Verbal Introduction to a group of colleagues
Catching up with other mature LMS
myCourseVille : March 2017
Student-centered
Timeline
Social-Network
centered
Realistic
LMS Option
2013-2014
•
•
•
•
Efficiency in Course Management
Feedbacks from real (& decent amount of) users
Campus-wide Roadshows & Workshops
Customer Supports (Call Center / FB Page)
myCourseVille : March 2017
Timeline
Social-Network
centered
Realistic
Supporting
Education
LMS Option
Paradigms
2014-2015
• Development in sync with Teaching/Learning techniques
• Platform for Classroom researches
• Larger variations of users
myCourseVille : March 2017
Timeline
Social-Network
centered
Realistic
Supporting
Education
Backbone
Education
LMS Option
Paradigms
Platform
2016 and beyond
• Expansion beyond LMS
• Inter-operation with other systems
• Challenges in Big-Data Analytics
– Learning Analytics
– Curriculum Analysis / Researches
– Unsupervised Learning Recommendation
myCourseVille : March 2017
• Outcome-based
– E-portfolio
– Accreditation
• Blended Learning
– Online Courses
– Video Services
– Active Learning
Current Status
myCourseVille : March 2017
Current Status
Chula
2016
Bb
32%
Not Use
40%
Data from CU
Learning Innovation
Center
Other
12%
CV
15%
MD
1%
myCourseVille : March 2017
Current Status
in Chula Engineering
• Highly-encouraged
• ~70% of courses
• 100% of undergrad students
myCourseVille : March 2017
From “Learning Management System”
to “Education Platform”
myCourseVille : March 2017
as:
“Learning Management System”
“Knowledge Aggregator/Publishing”
“Teaching/Learning Tools”
“Online Course Platform”
“Distance Learning Channel”
“Learning Analytics”
myCourseVille : March 2017
Learning Management System
myCourseVille : March 2017
Learning Content Aggregator
Teachers
Learners
myCourseVille : March 2017
myCourseVille : December 2016
Content Aggregation
ชั้นเรียน:
ผู้สอน:
นักเรียน:
ชั้นเรียน:
ผู้สอน:
นักเรียน:
วิชาภาษาอังกฤษ ม.6 2558 ภาคต้น
ครูวาณี ครูพรศิริ
วิชาภาษาอังกฤษ ม.3 2558 ภาคต้น
ครูวาณี ครูพรศิริ
ชั้นเรียน:
ผู้สอน:
นักเรียน:
วิชาวิทยาศาสตร์ ม.6 2558 ภาคต้น
ครูสมใจ
myCourseVille : March 2017
OPEN
Education
Resource
myCourseVille : December 2016
myCourseVille : December 2016
Learning Analytics
Analysis Tools & Visualization
YouTube Playlist
myCourseVille : December 2016
Learning Analytics
Analysis Tools & Visualization
E-books
Read E-books in LMS
myCourseVille : December 2016
Learning Analytics
Analysis Tools & Visualization
Lecture Re-runs
myCourseVille : December 2016
Active Learning Tools
Student
Randomizer
Countdown
Timer
myCourseVille : March 2017
Instant Q
Online-Course Platform
Learning Analytics
myCourseVille : December 2016
Learning Analytics
Analysis Tools
&
Visualization
Features with Machine Intelligence
AI & Data Analytics Research
Data Gathering
myCourseVille : December 2016
Learning Analytics
Analysis Tools & Visualization
Correlation Analysis
myCourseVille : December 2016
Learning Analytics
Analysis Tools & Visualization
Student Traits
myCourseVille : March 2017
Learning Analytics
Toward Machine Intelligence
in Education
Published and Ongoing Research Works with myCourseVille
Learner’s Performance
Learner’s Performance vs.
Activities in LMS
Academic Patterns
Course Periodic Behavior
Modelling
Real Curriculum Coverage
Inferring Coverage of
Knowledge Units from LMS
Course Materials
myCourseVille : March 2017
ICSESS 2016, Beijing, China
August 26-28, 2016
myCourseVille : December 2016
Learning Analytics
Learner’s Performance vs. Activities in LMS
Results
33 prediction features
170 students (Train: 85, Eval:85)
SVM with Gaussian Kernel
70%
75%
Rate
Rate
Precision
myCourseVille : December 2016
Recall
EDUCON 2016, Abu Dhabi, UAE
April 10-13, 2016
myCourseVille : December 2016
Learning Analytics
Course Periodic Behavior Modelling
Observation (Training Set)
Activities
2014/1
y = 22.169x + 6514.7
y = 0.7271x + 2649.6
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
Day
Sum
Landing Page
Other Activities
N Temiyasathit, P Punyabukkana, A Suchato, “Course periodic behavior modelling and its application in LMS activity
prediction”, 2016 IEEE Global Engineering
(EDUCON), 1164-1174
myCourseVille Education
: December Conference
2016
Learning Analytics
Course Periodic Behavior Modelling
Course 711
Activity
Activiy
100
80
60
40
20
0
1
2
3
4
5
6
7
100
80
60
40
20
0
Course 726
Pattern Normalization
1
Course 764
Activity
Activity
Day
100
80
60
40
20
0
1
2
3
4
Day
5
6
7
100
80
60
40
20
0
2
3
4
Day
5
6
7
Course 1091
1
2
3
4
Day
5
6
7
Course Clustering
Training Data
(2014/1)
Test Data (2015/1)
Activity Prediction /
Aggregation
Prediction Result
N Temiyasathit, P Punyabukkana, A Suchato, “Course periodic behavior modelling and its application in LMS activity
prediction”, 2016 IEEE Global Engineering
(EDUCON), 1164-1174
myCourseVille Education
: December Conference
2016
Learning Analytics
ƒ A posteriori observation
period of 3 weeks yields
the best accuracy of
84.35%
N Temiyasathit, P Punyabukkana, A Suchato, “Course periodic behavior modelling and its application in LMS activity
prediction”, 2016 IEEE Global Engineering
(EDUCON), 1164-1174
myCourseVille Education
: December Conference
2016
TALE 2016, Bangkok, Thailand
December 7-9, 2016
myCourseVille : December 2016
Keywords
Standard
Curriculum
Knowledge Unit 1
Knowledge Unit 2
Knowledge Unit 3
:
Knowledge Unit N
Web
Mining
Keywords
Knowledge Topics
presented to actual teaching
/ learning in the course
myCourseVille : March 2017
Learning Analytics
Inferring Coverage of Knowledge Units
from Course Materials
Sample Results
Course materials
collected from
5
Chulalongkorn University
University of Cambridge
MIT
Carnegie-Mellon University
Stanford University
institutes
Selected equivalent
courses in
Computer
Networks
and
Knowledge Units defined by the
Association for Computing Machinery
(ACM)
myCourseVille : March 2017
Operating
Systems
Knowledge Units defined by the
Association for Computing Machinery
(ACM)
myCourseVille : March 2017
Learning Analytics
Learning Analytics
Inferring Coverage of Knowledge Units
from Course Materials
Operating
Systems
Computer
Networks
Sample Results
myCourseVille : March 2017
Immediate Directions
• Online Course Platform
– Life-long Learning
– Blended Learning
• Outcome-based
– E-portfolios of students / Curricular / Courses
– Accreditations
• Learning Analytics
myCourseVille : March 2017