FEU Institute of Technology

Educational Innovation and Technology Hub

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Tim Jamison S. Awat

Associate

FEU Diliman

12 Followers

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

IT Specialist - Network Security

Issued by Certiport on July 30, 2024

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Information Technology Specialist in Networking

Issued by Certiport on January 21, 2021

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MTA: Networking Fundamentals Certified

Issued by Microsoft on August 29, 2020

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Seminars and Trainings

Attendee

Enhancing Physical and Mental Resilience in the Workplace

Awarded by FEU Tech Human Resources Office on August 05, 2024

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Participant

CyberOps Associate - Instructors Training

Awarded by Cisco Networking Academy on July 11, 2024

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Attendee

Nanolearning: Bite-Sized Content as the Next Big Trend in Contemporary Education

Awarded by Educational Innovation and Technology Hub on December 12, 2023

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Attendee

Modern Learners, Modern Resources: A Primer on the Utilization of Academic Technologies

Awarded by Educational Innovation and Technology Hub on August 29, 2023

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Attendee

Tech-Enabled Pedagogies: Empowering Modern Teachers with Educational Technologies

Awarded by Educational Innovation and Technology Hub on August 09, 2023

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Research 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.

View Paper

—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.

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