Department of Informatics, University of Rijeka Radmile Matejčić 2, 51000 Rijeka, Hrvatska Tel.: + 385 51 584 700 Fax: + 385 51 584 789 http://www.inf.uniri.hr

E-learning Activities Recommender System (ELARS)

Nataša Hoić-Božić, Martina Holenko Dlab Division of multimedia systems and e-learning

Outline • Introduction • ELARS recommender system – System structure • Experimental results and Conclusions • Future plans - "E-learning Recommender System" project 2 DAAD WS 2014 26/8/2014

Introduction • Collaborative learning activities ( e-tivities ) • Web 2.0 tools 

interactivity

• Recommender systems 

personalization

•

PhD thesis:

Recommender system for activities in computer-supported collaborative learning (defended in July 2014) –

Supervisors:

Professor Vedran Mornar and Associate Professor Nataša Hoić-Božić 3 DAAD WS 2014 26/8/2014

ELARS -

E

-

L

earning

A

ctivities

R

ecommender

S

ystem • Personalization of collaborative e-learning activities performed using Web 2.0 tools − recommendations for students and groups before and during e-tivities • Activity level estimation  quantity and continuity of student’s (group’s) contributions – enable recommendations generation – support teachers in evaluation of students’ work 4 DAAD WS 2014 26/8/2014

ELARS system structure 5 DAAD WS 2014

ELARS

26/8/2014

Activity model • Course activities: – classified (6 different types) – grouped in learning modules • Items for recommendations:

Mind mapping

– Optional e-tivities – Web 2.0 tools – Collaborators – Advice

Your activity level is not satisfying so it is highly recommended that you participate to a greater extent.

6 26/8/2014 DAAD WS 2014

Activities workflow example 7 DAAD WS 2014 26/8/2014

Student and group models • Student’s characteristics – Learning styles (VARK model) – Web 2.0 tools preferences – Knowledge level – Activity level • Group’s characteristics – Activity level 8 DAAD WS 2014 26/8/2014

Subsystem for generating recommendations • Ranking items according to usefulness – support students in decision • Filter appropriate advice from pre-defined set • Techniques adapted to the

educational

domain – include pedagogical rules – teachers can

modify

the recommendation criteria 9 26/8/2014 DAAD WS 2014

Recommending offered optional e-tivities •

Usefulness:

similarity student

↔

( teachers criteria ) e-tivity •

Technique:

content-based 10

0.80

0.67

0.50

student group DAAD WS 2014 26/8/2014

Recommending possible collaborators • •

Usefulness:

similarity ( teachers criteria )

Technique:

content-based 11

0.90

0.87

0.86

0.82

Homogeneous

0.33

0.45

0.67

0.90

Heterogeneous DAAD WS 2014 26/8/2014

Recommending Web 2.0 tools offered for certain e-tivity • •

Usefulness:

student’s preference of the target tool ( prediction of missing values)

Technique:

hybrid (collaborative filtering + content-based)

0.90

0.32

-0.5

student DAAD WS 2014 group 12 26/8/2014

Providing advice •

Technique:

knowledge-based – Useful/not useful 13 DAAD WS 2014 26/8/2014

ELARS web application • http://161.53.18.114/elars 14 DAAD WS 2014 26/8/2014

ELARS demo • http://161.53.18.114/elarsdemo 15 DAAD WS 2014 26/8/2014

Learning modules and activities 16 DAAD WS 2014 26/8/2014

Decision activities 17 DAAD WS 2014 26/8/2014

Activity levels and advice 18 DAAD WS 2014 26/8/2014

Experimental results and Conclusion • Evaluation focused on pedagogical aspects – two e-courses (University of Rijeka, Croatia) –

control and experimental group:

• better results (points) for e-tivities –

survey:

• students are satisfied with received recommendations and find the system useful • Good results on experimental courses and students’ satisfaction provide motivation for further work and improvements.

19 DAAD WS 2014 26/8/2014

Future plans - "E-learning Recommender System" project • • "E-learning Recommender System" project supported by University of Rijeka

Future plans

– recommendations algorithms improvements – improvements of ELARS authoring component for teachers – creating and evaluating didactical models for the use of Web 2.0 based e-tivities in different types of blended and online higher education e-courses 20 26/8/2014 DAAD WS 2014

Thank you!