Skills
CCNA Networking v7
Master (95%)
Educational Qualification
Masteral · Jan 2019 - Present
Masters' in Information Technology
AMA University
Tertiary · May 2012 - Jun 2016
Bachelor of Science in Information Technology
AMA Computer College - Fairview
Work Experience
Full-time · Jan 2019 - Present (6 years and 5 months)
Instructor 1 at FEU Diliman
Department of Information Technology
Contract · Aug 2016 - Feb 2017 (6 months)
Service Desk Technician Associate at Teletech Novaliches
At-Home Service Desk
Licenses and Certifications
Information Technology Specialist in Networking
Issued by Certiport on January 21, 2021
View Credential
Seminars and Trainings
Attendee
Enhancing Physical and Mental Resilience in the Workplace
Awarded by FEU Tech Human Resources Office on August 05, 2024
View Credential
Participant
CyberOps Associate - Instructors Training
Awarded by Cisco Networking Academy on July 11, 2024
View Credential
Attendee
Nanolearning: Bite-Sized Content as the Next Big Trend in Contemporary Education
Awarded by Educational Innovation and Technology Hub on December 12, 2023
View Credential
Attendee
Modern Learners, Modern Resources: A Primer on the Utilization of Academic Technologies
Awarded by Educational Innovation and Technology Hub on August 29, 2023
View Credential
Attendee
Tech-Enabled Pedagogies: Empowering Modern Teachers with Educational Technologies
Awarded by Educational Innovation and Technology Hub on August 09, 2023
View CredentialResearch Publications
Article
Personalized learning approach in learning management system using cluster models
International Journal of Scientific and Technology Research, 2020, 9(4), 1288-1291
Awat K.A.S.
Perez M.R.L.
Ace C. Lagman
Tim Jamison S. Awat
Legaspi J.B.C.
—This paper focuses on the integration of cluster models using K-means algorithm as a main mechanism in providing a personalized learning approach integrated in a learning management system (LMS). The cluster models provide intelligent questions mechanism suited to the individualized learning of students. The LMS will provide necessary examinations to gauge the students’ learning capability and based on the result of the examination, the item analysis and clustering algorithm were performed to provide reinforcement questions in helping students to pass a certain examination. The derived cluster models consist of easy, average, and hard question categories. The process repeats until such time that the students will be able to answer the questions correctly. In this way, the students increase their academic performance. The system was also evaluated by the LMS experts using the FURPS model. Overall, the system was rated with a “Very Satisfactory” rating.