A Model of Gamification by Combining and Motivating E-Learners and Filtering Jobs for Candidates

A Model of Gamification by Combining and Motivating E-Learners and Filtering Jobs for Candidates

A Model of Gamification by Combining and Motivating E-Learners and Filtering Jobs for Candidates

Sherin Eliyas, Ranjana P

Abstract

"Early in the 1990s, recommender systems emerged to assist users in dealing with the cognitive overload caused by the internet. Since then, similar systems have expanded into many more capacities, such as assisting users in exploration, enhancing decision making, or even providing entertainment. Understanding the user task and how to modify the advice to assist it are made possible by these features. Recommender systems for education have been proposed in related research. These recommender systems assist students in locating the learning materials that best suit their requirements. One of the primary requirements of the online social platform is to engage the user in an effective way. For this purpose, online media starts to use gamification to improve the user participants. The reward system for online media widely uses gamification elements such as points, badges, etc. Thereby, in a badge-based system, an unachieved badge highly influences the gamification system. In this paper, unachieved and achievable badges were recommended using item-based collaborative filtering recommendation model. This enables us to gather information from the candidates and make accurate predictions about the jobs that might suit them. This is also durable in the sense that any missing data about the candidate does not affect the algorithm as a whole as it is capable of making assumptions regarding the missing data based on similar data already stored in the database. Beyond this, this algorithm can be employed to host courses on the website. The empirical observation shows that the proposed model has recommended the badge with 70 percent accuracy."

Reference

Eliyas, S., & P, R. (2023). A model of gamification by combining and motivating e-learners and filtering jobs for candidates. MDPI. https://www.mdpi.com/2673-4591/59/1/7

Keywords

Gamification, Distance Learning, Recommender Systems