Dr. Benilda Eleonor V. Comendador

Dr. Benilda Eleonor V. Comendador

Head, Learning Management System, Open University, Polytechnic University of the Philippines

Dr. Benilda Eleonor V. Comendador has underwent a lot of sharpenings that paved the way to be in the place where she is now. At present, she is one of the key persons in the Polytechnic University of the Philippines   Open University System (PUP-OUS) as the Academic Program Head of the Institute of the Distance Education and at the same time the Program Chair of the Master in Information Technology of the Graduate School in addition to her duty as Associate Professor V. Prior to this, she was appointed as the PUPOUS Academic Program Head, Institute of Distance Education (IODE). for five years. She served as the former Chairperson of the Department of Information Technology for 6 years and had been in the teaching profession with the College of Computer and Information Sciences for more than twenty-five (25) years.

Dr. Comendador earned her Doctor in Information Technology (DIT) at the Technological Institute of the Philippines, Quezon City. She was a grantee of the Japanese Grant Aid for Human Resource Development Scholarship (JDS) from April 2008 to September 2010. She obtained Master of Science in Global Information and Telecommunication Studies major in Project Research at Waseda University, Tokyo, Japan in 2010. She was commended for her exemplary performance in completing the said degree from JDS. She finished her Master of Science in Information Technology at Ateneo Information Technology Institute, Philippines in 2002.

Her research interests include data mining, ubiquitous computing, eLearning and related technologies and data security. She presented several research papers in various international conferences and published them in the international journals. Assoc. Prof. Comendador is an International Technical Committee member of the International Conference on Intelligent and Automation Systems as well as the International Conference on Computer Research and Development in Vietnam. She is a senior member of Royal Institute of Information Technology in Singapore and member of Institute of Electrical and Electronics Engineers, Science and Engineering Institutes (IEEE).

Abstract

The study focused on providing a Decision Support System (DSS) that integrates Multiple Linear Regression (MLR) model and classification techniques to monitor student performance in the flexible digital learning environment. The author carried out series of experiments in order to evaluate the performance and usefulness of the generated models. Classification techniques and MLR was adopted in the development of the eCourse Learning Analytics Decision Support System (eCLADSS). The developed application predicts the performance of the Learning Management System (LMS) users which may help the Distance Education (DE) students succeed in the blended learning approach being provided by the DE educators. It identifies at risk-students for early intervention and attrition prevention, notifies those at risk of not completing it, then informs the users on the predicted student grade without intervention. It is a model-driven decision support system which provides a good platform for prediction model generation. Furthermore, it provides a good platform for generation of academic model that can be adapted by other educational institutions because of its model generation, selection procedures and user-oriented interface.