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Using Recommender System and Web 2.0 tools for Blended Learning

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1 Using Recommender System and Web 2.0 tools for Blended Learning
Department of Informatics, University of Rijeka Radmile Matejčić 2, Rijeka, Croatia Using Recommender System and Web 2.0 tools for Blended Learning Nataša Hoić-Božić, Martina Holenko Dlab Division of multimedia systems and e-learning

2 15th Workshop on Software Engineering
Introduction Work in the context of the research project "E-learning Recommender System" developing didactical models for realization of e-learning supported by Web 2.0 tools and ELARS UNIRI-developed contemporary blended learning model Research published in the paper: Hoić-Božić, Nataša; Holenko Dlab, Martina; Mornar, Vedran. Recommender System and Web 2.0 Tools to Enhance Blended Learning Model. IEEE Transactions on Education (Early Access Article) 15th Workshop on Software Engineering 25/8/2015

3 Background: new e-learning trends

4 Traditional e-learning
Content-centric course design approach and standard LMS are no longer meeting the student preferences and needs Typical actions: learning from online materials, taking online quizzes, handing in homework solutions and projects, communicating with the instructor 15th Workshop on Software Engineering 25/8/2015

5 E-learning 2.0 – the influence of Web 2.0
Pedagogical aspect Collaborative learning based on constructivist approach - students in the centre of the learning process E-learning activities (e-tivities) - interaction of student with other students and with the teacher with the help of the learning environment Technological aspect Decentralized learning environments LMS + Web 2.0 tools PLE (Personal Learning Environment) 15th Workshop on Software Engineering 25/8/2015

6 UNIRI-developed contemporary BL model
BL model consists of: a sequence of (collaborative) e-tivities Web 2.0 tools for their realization ELARS recommender system Combining LMS with Web 2.0 tools and ELARS system for personalization of e‑learning process Evaluating whether the model increases a student’s effectiveness in e‑tivities 15th Workshop on Software Engineering 25/8/2015

7 ELARS Recommender System

8 ELARS - E-Learning Activities Recommender System
Personalization of collaborative e-tivities performed using Web 2.0 tools Recommendations for students and groups before and during e-tivities: optional e-learning activities collaborators (student peers) Web 2.0 tools advice 15th Workshop on Software Engineering 25/8/2015

9 15th Workshop on Software Engineering
ELARS structure 15th Workshop on Software Engineering 25/8/2015

10 ELARS web application and demo
15th Workshop on Software Engineering 25/8/2015

11 Example: Web 2.0 tools recommendations
15th Workshop on Software Engineering 25/8/2015

12 Research methodology

13 15th Workshop on Software Engineering
Research Main aim of the research: to evaluate the effectiveness of the proposed blended learning model within an e-course „Hypermedia Supported Education” E-tivities designed to allow students achieving the learning outcomes Hypothesis: Students who performed personalized e-tivities supported in the ELARS recommender system achieve better final results in e‑courses. 15th Workshop on Software Engineering 25/8/2015

14 15th Workshop on Software Engineering
Participants senior students in the graduate program in the Computer Science major in the Department of Informatics The control group: students who took the course in 2012/2013 (N=16) The experimental group: the students who took the course in 2013/2014 (N=21) 15th Workshop on Software Engineering 25/8/2015

15 Course learning modules with activities
The learning design for the e-course includes a sequence of activities grouped in learning modules taught in a sequential blended way 15th Workshop on Software Engineering 25/8/2015

16 Activities workflow in the learning module LM3
15th Workshop on Software Engineering 25/8/2015

17 Course activities and grading points
Module Activity ECTS* Tools Points (max) LM1-LM7 Participating in e-course 1 MudRi and ELARS 10 LM2 Seminar 1: ICT in education 0.5 Blogger/Google Drive/ Wikispaces 15 LM3 Mind mapping MindMeister LM4 Wiki Wikispaces LM5 Seminar 2: Web 2.0 tools in education Google Drive /Wikispaces/ SlideShare 20 LM3, LM7 Revision Diigo/Google Drive/ Google+/MindMeister/Wikispaces/YouTube 5+5** LM6 Theory exam MudRi 30 Total: 5 100+5** 15th Workshop on Software Engineering 25/8/2015

18 Descriptive Statistical Analysis
Control group Experimental group N Minimum Maximum Mean Median Standard deviation Inter quartile range Coefficient of quartile deviation 16 55 96 78.6 79 8.8 8.5 0.05 21 79.5 89.2 89.5 4.5 7.38 0.04 15th Workshop on Software Engineering 25/8/2015

19 Comparison of e-tivities results
E-tivity Control group Experimental group p Seminar 1 Discussion/ Mind mapping Wiki Seminar 2 62.5 60.31 80.63 85 90 86.91 89.76 92.5 <.0001* .0067** .0073*** .1737* *Mann-Whitney U test **Welch test ***Student’s t-test 15th Workshop on Software Engineering 25/8/2015

20 Anonymous questionnaire results
Questionnaire statements Avg StDev You are satisfied with course learning model which is based on collaborative e-learning activities (e‑tivities). You consider applied learning model effective. You find positive the freedom to choose between optional e-tivities, collaborators and tools for e-tivities within the course. You consider Web 2.0 tools useful for realization of e- tivities. You consider ELARS recommender system useful for e- activities. You believe that the use of ELARS recommender system positively affected the level of your engagement during e- tivities. 4,30 4,70 4,60 3,76 3,44 0,49 0,47 0,93 0,86 15th Workshop on Software Engineering 25/8/2015

21 Conclusion and future plans
The evaluation results confirm the effectiveness of proposed model in a real setting and student satisfaction with it 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 15th Workshop on Software Engineering 25/8/2015

22 Thank you for your attention!
Thank you for your attention!

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