Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…

Having a job immediately after graduation is the dream of every IT graduate. However, not everyone can achieve this outcome. The study's primary goal is to develop predictive models to forecast IT graduates' chances of finding a job based on factors such as academic performance, socioeconomic status, academic habits, and demographic data.…

Purpose: Students experience a range of benefits by participating in work-based learning (WBL) including increased employability skills, career development learning and enhanced industry networks. However, some approaches to WBL are not easily accessed by all students, with placement-based models placing demands on students to attend a physical…

A strong theoretical approach with a specific focus on disciplinary research characterizes the common science master's education in the Netherlands. However, a work-based learning (WBL) approach may as well be expedient and suitable for science education at master's level. In this paper, a case study is presented of a WBL-program designed for an…