Prospect for learning analytics to achieve adaptive learning model

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Transcript of Prospect for learning analytics to achieve adaptive learning model

Prospect for learning analytics to achieve adaptive learning model

Research Fellow, KERISYong-Sang CHO, Ph.D zzosang@keris.or.kr

FB: /zzosang Twitter: @zzosang

e-Learning ConferenceSeptember 21, 2016

Table of Contents

• What is an Adaptive Learning

• Reference Model Design for Implementation of Adaptive Learning

• One step further: Exploring Data Flow and Exchange

• One step further: Exploring Curriculum Standards

• Conclusion and Recommendations

“Anyone who has ever been in a classroom – where as a student or instructor – knows that not all students procced at the same pace.” <Tyton Partners>

What is an Adaptive Learning?

Adaptive learning is

“a more personalized, technology-enabled, and data-driven approach to learning that has the potential to deepen student engagement with learning materials, customize students’ pathways through curriculum, and permit instructors to use class time in more focused and productive ways."

<Tyton Partners – Learning to Adapt>

<Source: http://tytonpartners.com/tyton-wp/wp-content/uploads/2015/01/Learning-to-Adapt_Case-for-Accelerating-AL-in-Higher-Ed.pdf>

Qual-ity

Cost Ac-cess

Also adaptive learning may be a key (or hammer?) to break “Iron Triangle”

Some students response …

“The Impact of Technology on College Student Study Habits:

2,600 college students surveyed, 87% report that having access to data analytics concerning their academic performance has a positive impact on their learning. Adaptive learning technology is reported by 75% of students to be very helpful or extremely helpful in aiding their ability to retain new concepts, and 68% of students report that it is most helpful at making them better aware of new concepts."

<McGraw-Hill Education and Hanover Research>

Reference Model Design forImplementation of Adaptive Learning

Two levels to adaptive learning technologies:

• the first platform reacts to individual user data and adapts instructional material accordingly,

• while the second leverages aggregated data across a large sample of users for insights into the design and adaptation of curricula.

Source: Horizon Report 2015 – Higher Education Editionhttp://www.nmc.org/publication/nmc-horizon-report-2015-higher-education-edition/

Resources

AnalyticsCurricula

Point of Adaptive Learning

Conceptual relationship among curricula, resources and LA

Source: Prospects for the application of learning analytics – Use cases and Service Model,Yong-SangCho, Journal of Information and Communication, 2014

Abstract layer of reference model for LA

Input data items for learning analytics

DataCollection

Data Processing & Storing

Visualization Analyzing

PrivacyPolicy

• lecture • material• learning tool• quiz/assessment• discussion forum• message• social network• homework• prior credit• achievement• system log ……

personalization, intervention and prediction, etc

Outcomes from learning analytics

Data processing and analysis

secured data exchange

Learning & Teaching Activity

•Reading•Lectures •Quiz•Projects•Homework•Media•Tutoring•Research•Assessment•Collaboration•Annotation•Gaming•Social Messaging•Scheduling•Discussion ……

Feedback &Recommendation

Source: ISO/IEC TR 20748-1:2016 Learning Analytics Interoperability – Part 1: Reference model

Analytics Data Store(Micro Data)

Analytics Data Store(Analyzed Data)

Data M

anipulation

Data Analysis

Analysis Interface

Analysis Algorithm

Analysis Processing

Output Generation

Statistic Analysis

Topic Analysis

Network Analysis

Pattern Analysis

Dynamic Modeling

Association Analysis

Constant Information(Curricula, Learning Re-sources, Preferences)

Data C

ontrol

Dashboard Integration

Content Recommendation

Learning Path Recommendation(Curriculum Support)

Social Analysis

Source: ISO/IEC TR 20748-1:2016 Learning Analytics Interoperability – Part 1: Reference model

Zoom-in diagram for data analy-sis

One step further:Exploring Data Flow and Exchange

- Get the data! -

xAPI

Transcript/learning datacan be delivered to LMSs, LRSs or reporting tools

Experience data

LMS: Learning Management SystemLRS: Learning Record Store

IMS Caliper

Source: New Architect for Learning (Rob Abel, 2014)http://www.slideshare.net/JEPAslide/day3-edupub-tokyoims?qid=76ce5d4a-1ccf-468f-a428-c652584c395a&v=default&b=&from_search=4

Visualization example

for activities

One step further:Exploring Curriculum Standards- Get the topic and competency! -

Goal of achievement

School level

Second criteria of science subject (second level)

Curriculum standard per school grade

Achievement statement (third level)

First criteria of science subject (top level)

Curriculum standards – US case

Grade group Primary school 3-4 grade group Primary school 5-6 grade group

Middle school 1-3 grade group

Section

Curriculum standards – Korean case

Area of content

Achievement statement – Korean caseSection of science subject (middle school)

Content of curriculum

Criteria of achievementCore achievement criteria

Reason and explanationfor core achievement

CURRICULUMSTANDARD

ACHIEVEMENTSTATEMENT

hasChild isPartOf

hasChild

isChildOf

Structural model for curricula

Source: ASN Framework & ISO/IEC JTC1 SC36 N2140

CURRICULUMSTANDARD

ACHIEVEMENTSTATEMENT

hasChild isPartOf

alignFrom

alignTo

alignTo

alignFrom

hasChild

isChildOf

(derivedFrom)

(crossSubjectReference)

Semantic model for curricula

Source: ASN Framework & ISO/IEC JTC1 SC36 N2140

Linked Open Data for achievement statement

Source: KS X 7004-2 Linked data profile for achievement in education – part 2: Application profile

•Complete development for data capture API (beta version) - collaborate with IMS Global, ADL and ISO/IEC JTC1 SC36 * to improve efficiency of data sharing mechanism

• Complete development and deployment for test-bed of reference model - complete test for open source SWs to organize optimized composition - design interface for analysis algorithm based on R * you may see on Github soon (github.com/KERISdev).

• Complete design for LOD of achievement standards - to connect digital resources with specific topics of curriculum standards * connected digital resources will be used ISO/IEC 19788 MLR (KS X 7001)

By February 2017

Conclusion & Recommendations

Source: Learning to Adapt 2.0 – Tyton Partnershttp://tytonpartners.com/tyton-wp/wp-content/uploads/2016/04/yton-Partners-Learning-to-Adapt-2.0-FINAL.pdf

Consider This …

Visit and see more at the booth:

Thank You !!!

Korea Education & Research Information ServiceYong-Sang CHO, Ph.Dzzosang@keris.or.krFB: /zzosang Twitter: @zzosang