in a Mobile Environment Wongpanya Nuankaew Rajabhat Mahasarakham - PowerPoint PPT Presentation

An In Institution Recommender System Based on Student Context xt and Educational In Institution in a Mobile Environment Wongpanya Nuankaew Rajabhat Mahasarakham University, Maha Sarakham, Thailand Free Powerpoint Templates Page 1

Topics of f Presentation • The Important of the Research • Research Methodology • Application • Results • Discussion • Conclusion Free Powerpoint Templates Page 2 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

The Im Important of The Research • The United Nations (UN) mentioned the need for “A world with equitable and universal access to quality education at all levels, to health care and social protection, where physical, mental and social well- being is assured [1]” • The 2015 World Education Forum held at Incheon, South Korea, showed that “The future vision of education is fully captured by the proposal to ensure inclusive and equitable quality for all educational institutions as well as promote lifelong learning opportunities for all learners [2]” Free Powerpoint Templates Page 3 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

The Im Important of The Research Free Powerpoint Templates Page 4 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Statement of f the problem Free Powerpoint Templates Page 5 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

The Im Important of The Research Free Powerpoint Templates Page 6 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Research Methodology Free Powerpoint Templates Page 7 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Application Free Powerpoint Templates Page 8 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Application Free Powerpoint Templates Page 9 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Data Gathering Institution Respondents RMU: Rajabhat Mahasarakham University 478 Students MSU: Mahasarakham University 345 Students UP: University of Phayao 286 Students Total: 1,109 Students Free Powerpoint Templates Page 10 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Results and Discussion • The results of the model analysis and prediction • The decision tree model • Association rule • Model measurement Free Powerpoint Templates Page 11 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Decision Tree Model Free Powerpoint Templates Page 12 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Association Rule Conditions Rules Actions Factor 1 Factor 2 Rule 1 The Popularity of the Trust in Institutions = 5 It matches RMU equal to 17.02 %. While, suitable University = 5 for MSU equal to 55.32 %, and appropriate to UP equal to 27.66 %. Rule 2 The Popularity of the Skills of learners = 4 It matches RMU equal to 29.53 %. While, suitable University = 4 for MSU equal to 44.49 %, and appropriate to UP equal to 25.98 %. Rule 3 The Popularity of the Family Income = 5 It matches RMU equal to 4.76 %. While, suitable University = 3 for MSU equal to 4.76 %, and appropriate to UP equal to 90.48 %. All data collected: 1,109 Samples RMU 478 samples (43.10 %), MSU 345 samples (31.11 %), and UP 286 samples (25.79 %) Free Powerpoint Templates Page 13 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Model Measurement Conditions Predicted Precision RMU MSU UP Predicted RMU 58 160 18 67.80% Predicted MSU 277 19 4 92.33% Predicted UP 143 166 264 46.07% Recall 57.95% 46.38% 92.31% Free Powerpoint Templates Page 14 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Discussion • Two depth levels is reasonable for this research • The model classification and association rules present the distribution of data, which show a relationship between the university and students • The results of performance is a high level of accuracy (69.03 %). Free Powerpoint Templates Page 15 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Conclusion • To develop an application intended to gather the particular characteristics and attitudes of students • Use the gathered data for prediction and selection of the institution • Decision tree and Association rule methods were utilized to develop the functions • Data was collected from 1,109 students • High accuracy is equal to 69.03 % Free Powerpoint Templates Page 16 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

ACKNOWLEDGMENTS • This paper was supported financially by Siam Crystal Consulting Company Limited. • The authors would like to thank the researchers, participants, and technicians for their efforts toward the completion of this work. Free Powerpoint Templates Page 17 An Institution Recommender System Based on Student Context and Educational Institution in a Mobile Environment

Thank you  Free Powerpoint Templates Page 18