大学习-发现学习中的大数据-陈滢

大学习 -发现学习中的大数据Big Learning - Unleashing the Data Value in Online Learning

陈滢博士

慧科教育集团高级副总裁慧科教育研究院院长

一起来找茬千年来教育的变化

When education meets Internet.

MOOC– The Game Changer

CAP in Education

Cost

Access

Performance

“The Iron Triangle: College Presidents Talk about Costs, Access, and Quality.” By John Immerwahr, Jean Johnson, Paul Gasbarra. October 2008. The National Center for Public Policy and Higher Education and Public Agenda. /reports/iron_triangle/index.shtml

Internet

+

Education

Utide Vision 2014

Big LearningLOYD (Learning On Your Device) Any time Any where Any course Cyberspace Massive collaboration Student-centric Peer review UGC

Data-driven Adaptive Learning Individualized Learning

Competency-based evaluation

The Big Data in Learning.

Data Pyramid洞察力 Insight知识 Knowledge

analysis

Value

abstraction associate aggregate

信息 Information

数据 Data

acquisition

A Quiz

73,939,133

Behaviour Pattern Semantic Task (Video,Quiz/Test, Browse,Post, Notes)

Click Stream

eCommerce vs. eLearningUser POV

eCommerceTransaction Period Motivation Short( minutes) ACTIVE

eLearning

Implication for eLearning

Long (Days, Months) Trajectory analysis ACTIVE or PASSIVE Retention Stimulate

Contents

TEXT, IMAGE

Multimedia, Forum, Learning behaviour, Quiz/Test evaluation MORE or INTENSE Sentiment detection, peer review Quality,Dropout AWE

Collaboration Comments Engagement

NO or FEW

on quality of the"product" SHALLOW DEEP

Big Learning in Action.

Usability Studies Tools for Automated Feedback and Grading Learning Analytics, Analysis of Log Data Studies of Application of Existing Learning Theory Investigation of Student Behaviour and Correlation with Learning Outcomes New Learning and Teaching Techniques at Scale/

Bayesian Ordinal Peer Grading. Karthik Raman and Thorsten Joachims (Cornell University)

Source: Learning@Scale 2015 Proceedings

BayesRank: A Bayesian Approach to Ranked Peer Grading. Andrew Waters (Rice University), David Tinapple (Arizona State University), and Richard Baraniuk (Rice University)

Source: Learning@Scale 2015 Proceedings

Effective Sampling for Large-Scale Automated Writing Evaluation Systems. Nicholas Dronen (University of Colorado at Boulder& Pearson), Peter Foltz (Pearson& University of Colorado at Boulder), and Kyle Habermehl (Pearson)

Source: Learning@Scale 2015 Proceedings

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