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IntroductionAdaptation of Learning Styles

Blended Learning - MOOC Model of IIT BombayedX

Problem Statement

Massive Open Online Courses - Enhancement to edX-platform

Srinu Kolukuluri

123050076

Under the guidance ofProf. Deepak B. Phatak

Computer Science Department,IIT Bombay

Srinu Kolukuluri 123050076 Massive Open Online Courses - Enhancement to edX-platform



Problem Statement

Some Existing Problems with Local Educational InstitutesSome Existing Problems with e-LearningOur Approaches to Solve the above Problems

Outline

1 IntroductionSome Existing Problems with Local Educational InstitutesSome Existing Problems with e-LearningOur Approaches to Solve the above Problems

2 Adaptation of Learning StylesIntroduction to Learning StylesSome Learning Style Models

3 Blended Learning - MOOC Model of IIT BombayIntroduction to Blended LearningOur proposed model : Blended Learning - MOOC Model of IIT BombayAdvantages and Challenges of our MOOC model of IIT Bombay

4 edXIntroduction to edXModules of edX-MOOCedX Database

5 Problem Statement




Problem Statement


Some Existing Problems with Local Educational Institutes

Academic restriction: teachers and students are restricted to a predefinedsyllabus of courses by respective universities.

Movement of information from one source to another source are very lessin amount.

Academic freedom.

Standards and grading.

Less practical oriented learning.

Lack of resources and facilities.




Problem Statement


Some Existing Problems with Local Educational Institutes(cont.)

Quality academic performance of each student.

Problems with some universities and their affiliated colleges with coursesyllabus, final exams and grading.

Institute environment affects student‘s academic performance :Gurukulam.

The basis of these observations are, from my past educational career.

Through e-learning some of these problems can be solved with properapproaches.

MOOC: Massive Open Online Courses is a kind of online educationalsystem.




Problem Statement


e-Learning

Figure: Massive Open Online Courses[1]

Still, e-learning also contains some problems.




Problem Statement


Existing Problems with e-Learning

Self regulation and motivation

Standards and grading

Automated grading

Assuring academic integrity

Successful completion rate

It is informal

High dropout rate

Learning analytics




Problem Statement


Our Approaches to Solve the above Problems

We are considering “Learning Styles” concept to solve the given problems.• to improve self regulation and motivation.• to increase the academic performance of individual.• to increase the number of successful completions per course.

We are proposing a new blended learning model with different approach tosolve some of the problems in local educational institutes.

Blended Learning - MOOC Model of IIT Bombay.

The detailed explanation of our blended learning MOOC model of IITBombay and Learning Styles will be discussed in later slides.




Problem Statement

Introduction to Learning StylesSome Learning Style Models

Outline





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Problem Statement


Introduction to Learning Styles

One’s learning preference.

Every one has their own learning style.

Teachers can assess the learning styles of students, then they can adaptthe classroom methods to suit the students.

General learning styles: Visual, Auditory, Kinesthetic/Tactile[2].




Problem Statement


David Kolbs model

Converger: Good at making practical applications, solving problems

Diverger: Good at Imagination and come up with new ideas

Assimilator: Good at inductive reasoning and creating theoretical models.

Accommodator: They learns by doing things and engaging with othersactively.




Problem Statement


The Felder-Silverman Learning model

Sensing Learners/Intuitive learners:• learns facts, solve problems, good at memorization, and more practical• discovers possibilities, likes innovation, and good at learning of new concepts

Active Learners/Reflective Learners:• learns doing active with something, stay in groups, and retains information• prefers to think about it first, works alone, think about in new ways, and

write short summaries for everything he cross

Sequential Learners/Global learners:• understand things in sequential steps, and follows logical step wise paths to

solve a problem• learn in large jumps with out seeing connections, and solves problem quickly

by getting big picture and grouping all together.

Visual Learners/Verbal Learners:• Remember the things best by watching pictures, diagrams, flow, films, and

demonstrations.• Learns more from written and spoken explanations




Problem Statement


Neil Flemings VAK/VARK model

1 Visual learners: think in pictures; visual aids such as overhead slides,diagrams, handouts, etc.

2 Auditory learners: lectures, discussions, tapes, etc

3 Reading-Writing Preference learners: by reading and writing.

4 Kinaesthetic learners or tactile learners: active exploration of the world;science projects; experiments, etc.




Problem Statement


Conclusion of the learning styles

Visual learners: Learns from pictorial representations and visual things,lectures, video tapes.

Reading-writing preference learners: Learns from reading a lot of materials.

Experimental learners: Learns from by doing something active with it.




Problem Statement


Conclusions of the learning styles(cont.)

Finding learning styles will be done by providing some questionnaire to thestudents at the time of course registration. We did a prliminary survey tofind learning style of a person using Google forms, related information isgiven in the report.

Figure: Proposed approach for adaption of learning style in LMS




Problem Statement

Introduction to Blended LearningOur proposed model : Blended Learning - MOOC Model of IIT BombayAdvantages and Challenges of our MOOC model of IIT Bombay

Outline





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Problem Statement


Introduction to Blended Learning

Figure: Blended Learning model[1]




Problem Statement


Differences between traditional and e-Learning methods

Traditional Learning Electronic Learning

Focus of course Group IndividualFocus of content Teacher centred Student-centredForm Synchronous AsynchronousTime Scheduled AnytimePlace Classroom AnywhereFlexibility Standardized CustomizedContent Stable, durable Dynamic, transitoryNumber of students Space delimited Without limitsInstructor preparation Some (transparencies) Extensive pre-preparationDistribution of materials Hard copy Electronic downloadInteraction Spontaneous StructuredRange of interactivity Full interactivity Limited interactivity

taken from [3]




Problem Statement


MOOC offerings from IIT Bombay

Figure: MOOC offerings from IIT Bombay




Problem Statement


Our proposed model : Blended Learning - MOOC Model of IIT Bombay

Figure: Different levels in blended learning MOOC model of IIT BombaySrinu Kolukuluri 123050076 Massive Open Online Courses - Enhancement to edX-platform



Problem Statement


Sequential Steps of Blended Learning - MOOC Model of IIT Bombay

A course will be offered from IIT Bombay.

We approaches different colleges in India with our proposal.

Proposal: students from agreed universities must opt this course, and it ismandatory under predefined terms of conditions.

Training of local instructors, face-to-face interaction with super-instructor.

Training includes, introduction to Unix OS, programming tutorials, gradingsystem, etc

Entire information related to a course will be given by IIT Bombay.




Problem Statement


Sequential Steps(cont.)

Assignments, quizzes, finalexams will be given by IIT Bombay.

Peer-to-Peer evaluation - Prof. Deepak B. Phatak followed an approachwhen he offered CS101 in IIT Bombay.

80% marks from IIT Bombay, 20% marks will be given by local instructor.

Final grades will be sent to respective colleges.

Grading can be either automated or Peer-to-Peer grading.




Problem Statement


Advantages

Elimination of duplicate work for local instructor.

Local instructor-student interaction time will be increased.

A better training for local instructors from super-instructor.

Better teaching.

Better learning.

Successful completion rate can be increased(99%).

Minimum pass grade.




Problem Statement


Challenges

Does edX-MOOC supports our model ?

Architectural, Technical, Administrational issues.

What database tables need to be created, what to be modified in edX?

Scalability issues.

Implementation, testing, deployment.

Assurance of academic integrity

Automated grading.




Problem Statement


A typical ER-diagram of our blended learning MOOC model of IIT Bombay

Figure: A typical ER-diagram of our blended learning MOOC model of IIT Bombay




Problem Statement


Conclusions of our MOOC model of IIT Bombay

Does the current edX supports our MOOC model of IIT Bombay or not ?

We are still exploring the related details of edX.

We dont know how much time it will take for the implementation of ourmodel, so we would like to implement a basic version of our “BlendedLearning - MOOC Model of IIT Bombay”.

Upcoming students will take up this work as continuation.




Problem Statement

Introduction to edXModules of edX-MOOCedX Database

Outline





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Problem Statement


Introduction to edX

edX is a non-profit organization which is founded by the collaboration ofHarward and MIT.

Open Source platform.

Developed based Django Framework.

Python, Ruby, Perl, NodeJS.

Datbase: MongoDB and SQLite.

Developed as different modules and integrated.

Trying to make e-learning more effective than the traditional education.




Problem Statement


Main Modules of edX-MOOC

Figure: Main Modules of edX-MOOC




Problem Statement


Extra Modules of edX-MOOC

Figure: Extra Modules of edX-MOOC




Problem Statement


Functionalities of Modules in edX

edX-platform: Main module which includes LMS and CMS.

cs comment service: Provides discussion forums.

codejail: Protects whole system from the external user - creates Sandboxto run untrusted code.

xqueue: Provides interface between LMS and external grading system.

xserver: Accepts code from the users of LMS, and executes usingcourseware graders.

edX-ORA: Provides peer, instructor, machine assessment methods.




Problem Statement


Functionalities of Modules in edX(cont.)

ed-insights: Provides a framework for development of analytics platform.

edxanalytics: Performs analytics on edX data, and it has built based onthe ed-insights.

discern: Provides services of grade arbitrary free text response from thesystem.

ease: Provides machine grading of open response answers. ease-enhancedAI scoring engine

loghandlersplus: Performs some functions on log files from the LMS, andprovides log events to edxanalytics.

djeventstream: Takes the log events from the loghandlersplus, andgenerates appropriate Django signals for edxanalytics.

xblock: Provides a component architecture for building courseware.




Problem Statement


The overview of edX-platform

Figure: The overview of edX along with some modules




Problem Statement


edX Database

edX system consists of two databases, SQLite and Mongodb.

SQLite is a relational database, and stores user information only.

Mongodb is a document based NoSQL database, and stores courseinformation only.

As edX is enhancing every day, still we are exploring the details of edXdatabase.




Problem Statement

Outline





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Problem Statement

Motivation

To offer quality education from the best teachers to Indian students.

To improve the throughput of the e-learning system.

To improve the successful completion rate of a course.

To improve the individuals academic performance.




Problem Statement

Problem Statement

Implementation of basic version for “Blended Learning - MOOC Model ofIIT Bombay” using edX.

Integration of all modules of edX(cs comments service, codejail, xqueue,xserver, edX-ORA, ed-insights, edxanalytics, discern, loghandlersplus,ease, djeventstream, xblock)

Adaptation of Leraning Styles into edX.




Problem Statement




Problem Statement

edX - Learning Management System




Problem Statement

edX - Course Management System




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edX Database




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Django Framework

Figure: Django Architecture




Problem Statement

Blended Learning with Learning Styles

Figure: A Typical Architecture of Blended Learning Model[4]




Problem Statement

Learning Analytics from Stanford University

Course Auditing Completing Disengaging Sampling

High scholl 6% 27% 28% 39%Under-graduation 6% 8% 12% 74%Post-graduation 9% 5% 6% 80%




Problem Statement

References I

MOOC.

http://en.wikipedia.org/wiki/file:moocpostermathplourde.jpg.Referredon25August,2013.

“http://www.engr.ncsu.edu/learningstyles/ilsweb.html,” Referred on 12 August, 2013.

F. Mohammad, “Blended learning and the virtual learning environment of nottingham trent university,” in

Proceedings of the 2009 Second International Conference on Developments in eSystems Engineering, DESE’09, (Washington, DC, USA), pp. 295–299, IEEE Computer Society, 2009.

P. P. S.Thamarai Selvi, “Blended learning for programming in cloud based e-learning system,” ICRTIT-2012,

(Chennai, Tamil Nadu, Recent Trends In Information Technology (ICRTIT), 2012 International Conference),pp. 197–201, IEEE, 2012.


http://en.wikipedia.org/wiki/file:mooc poster mathplourde.jpg. Referred on 25 August, 2013

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