NextGenHire: Gamified Learning With Skill-Based Job Matching

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Authors: Assistant Professor Namrata Ghuse, Pratik Shinde, Yamini Sarnaik, Yash Bhoye, Jayesh Shewale

Abstract: Gamification is changing how online learning works. When we add points, badges, levels and progress tracking, students feel more interested and complete topics on time. In this paper, we show NextGenHire, a simple system that mixes gamified learning with job recommendation.In this system, a student first logs in and creates a profile with their skills. After that, the student watches learning content like web development or app development. When the learning part is over, the student gives tests. In the test, the gamification part starts where the student gets points and results based on quiz accuracy, time taken and activity. After tests, the system checks the student’s skill performance and compares it with job requirements. Using this method, the system recommends suitable jobs for the student. We also use basic data and simple comparison to check if gamification helps students to stay active and learn better. From this, we observed that students show better engagement after adding gamification.Overall, NextGenHire helps students learn and also suggests jobs based on their skills and performance, reducing the gap between learning and hiring.

DOI: https://doi.org/10.5281/zenodo.20743640

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