International Journal of Education Sciences

Game-based learning (GBL) has demonstrated significant potential in STEM education, yet most existing implementations remain constrained by narrow disciplinary focus and limited replay ability, offering students a single, linear path through predetermined content. This paper introduces The Chronicles of JIT, an immersive simulation designed to address these limitations through a dual-perspective narrative architecture that transforms engineering and entrepreneurial education. Rather than confining players to one lens, the game allows them to navigate its world as either a Student Entrepreneur, balancing academic obligations against the pressures of building a startup, or a Research Professor, managing grant acquisition and long-term academic progression.

Gurudwaras are important places of worship in Sikhism and serve as centres of spiritual learning, community service, and religious education. They have played a significant role in shaping Sikh history, religious traditions, cultural heritage, and collective identity. Sant Teja Singh devoted his life to the propagation of Sikhism, the protection of Sikh rights, and the establishment of educational institutions and Gurudwaras.

The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as a predictor of future performance in school by utilizing computer technology. Peer pressure is an influential factor and impacts academic achievement, and therefore this study will focus on the relationship between peer pressure and academics through machine learning methods, resulting in predictive assessments for students similar to this population. The present research gathered student data through two means: survey and record review.

Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern.

STEM education which brings together Science, Technology, Engineering, and Mathematics has become the foundation for success in today’s fast-changing, technology-driven world. It helps students think critically, solve real-world problems, and adapt to new innovations like artificial intelligence, robotics, data science, and biotechnology. In a country like India, where digital transformation is reshaping every sector, STEM education is not just an academic choice but a key to national growth and progress.

In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), logging time spent and difficulty of the problem solved, and indicators of co-curricular involvement. Advanced preprocessing data generation, feature engineering and tech-niques.