Prospect for learning analytics to achieve adaptive learning model

31
spect for learning analytics to achi adaptive learning model Research Fellow, KERIS Yong-Sang CHO, Ph.D [email protected] FB: /zzosang Twitter: @zzosang e-Learning Conference September 21, 2016

Transcript of Prospect for learning analytics to achieve adaptive learning model

Page 1: 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 [email protected]

FB: /zzosang Twitter: @zzosang

e-Learning ConferenceSeptember 21, 2016

Page 2: Prospect for learning analytics to achieve  adaptive learning model

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

Page 3: Prospect for learning analytics to achieve  adaptive learning model

“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>

Page 4: Prospect for learning analytics to achieve  adaptive learning model

What is an Adaptive Learning?

Page 5: Prospect for learning analytics to achieve  adaptive learning model

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>

Page 6: Prospect for learning analytics to achieve  adaptive learning model

Qual-ity

Cost Ac-cess

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

Page 7: Prospect for learning analytics to achieve  adaptive learning model

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>

Page 8: Prospect for learning analytics to achieve  adaptive learning model
Page 9: Prospect for learning analytics to achieve  adaptive learning model
Page 10: Prospect for learning analytics to achieve  adaptive learning model

Reference Model Design forImplementation of Adaptive Learning

Page 11: Prospect for learning analytics to achieve  adaptive learning model

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/

Page 12: Prospect for learning analytics to achieve  adaptive learning model

Resources

AnalyticsCurricula

Point of Adaptive Learning

Page 13: Prospect for learning analytics to achieve  adaptive learning model

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

Page 14: Prospect for learning analytics to achieve  adaptive learning model

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

Page 15: Prospect for learning analytics to achieve  adaptive learning 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

Page 16: Prospect for learning analytics to achieve  adaptive learning model

One step further:Exploring Data Flow and Exchange

- Get the data! -

Page 17: Prospect for learning analytics to achieve  adaptive learning model

xAPI

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

Experience data

LMS: Learning Management SystemLRS: Learning Record Store

Page 18: Prospect for learning analytics to achieve  adaptive learning model

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

Page 19: Prospect for learning analytics to achieve  adaptive learning model

Visualization example

for activities

Page 20: Prospect for learning analytics to achieve  adaptive learning model

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

Page 21: Prospect for learning analytics to achieve  adaptive learning model

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

Page 22: Prospect for learning analytics to achieve  adaptive learning model

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

Page 23: Prospect for learning analytics to achieve  adaptive learning model

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

Content of curriculum

Criteria of achievementCore achievement criteria

Reason and explanationfor core achievement

Page 24: Prospect for learning analytics to achieve  adaptive learning model

CURRICULUMSTANDARD

ACHIEVEMENTSTATEMENT

hasChild isPartOf

hasChild

isChildOf

Structural model for curricula

Source: ASN Framework & ISO/IEC JTC1 SC36 N2140

Page 25: Prospect for learning analytics to achieve  adaptive learning model

CURRICULUMSTANDARD

ACHIEVEMENTSTATEMENT

hasChild isPartOf

alignFrom

alignTo

alignTo

alignFrom

hasChild

isChildOf

(derivedFrom)

(crossSubjectReference)

Semantic model for curricula

Source: ASN Framework & ISO/IEC JTC1 SC36 N2140

Page 26: Prospect for learning analytics to achieve  adaptive learning model

Linked Open Data for achievement statement

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

Page 27: Prospect for learning analytics to achieve  adaptive learning model

•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

Page 28: Prospect for learning analytics to achieve  adaptive learning model

Conclusion & Recommendations

Page 29: Prospect for learning analytics to achieve  adaptive learning model

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 …

Page 30: Prospect for learning analytics to achieve  adaptive learning model

Visit and see more at the booth:

Page 31: Prospect for learning analytics to achieve  adaptive learning model

Thank You !!!

Korea Education & Research Information ServiceYong-Sang CHO, [email protected]: /zzosang Twitter: @zzosang