Simventure: Utilizing first person player technology for career guidance in high schools

Norazri, Nurul Nadia and Mustafa Albakri, Ikmal Faiq Albakri and Mokhtar, Mohd Khalid and Mohamed, Farhan and Chan, Vei Siang and Nor'a, Muhammad Nur Affendy (2024) Simventure: Utilizing first person player technology for career guidance in high schools. In: 2024 International Conference on TVET Excellence & Development (ICTeD), 16 December 2024 through 17 December 2024, Melaka, Malaysia.

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Abstract

The increasing trend of high school kids aspiring to become internet influencers or depending solely on freelance jobs, while ignoring their studies, motivated this study. This project seeks to enhance students’ awareness of their future by introducing Simventure. Simventure is an interactive simulation that has AI-driven Non-Playable Characters who provide assistance on post-graduation options and career planning, enabling students to investigate diverse career trajectories through a first-person perspective. While exploring career guidance and interactive learning, Simventure also reflect the reality in the career world such as becoming pilot and marine biologist. Simventure follows the ADDIE methodology (Analysis, Design, Development, Implementation, and Evaluation) as the foundation of the project. It explores the development of Simventure, covering asset development and the integration of AI into NPCs within the simulation. The simulations were afterwards evaluated through both quantitative and qualitative methods, engaging high school students and expert specialists, by employing the System Usability Scale (SUS) and expert testing to determine the usability and overall effectiveness of Simventure.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Career guidance, Interactive simulation, First-person player technology, Artificial intelligence, Educational technology
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Wizana Abd Jalil
Date Deposited:	17 Dec 2025 07:44
Last Modified:	17 Dec 2025 07:44
URI:	http://eprints.utem.edu.my/id/eprint/29341
Statistic Details:	View Download Statistic

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