A framework for predicting academic orientation using supervised machine learning.

School guidance is declared an integral part of the education and training process, as it accompanies students in their educational and professional choices. Accordingly, the current situation in light of the Covid-19 epidemic requires a reconsideration of school guidance together with the methods of accompanying the student to choose the field that suits his/her personality, knowledge qualifications, perceptual and intellectual skills in order to achieve an excellent educational level that enables the learner to work in future professions. The current study aims to predict a student's potential and provide support for academic guidance.

IoT-school guidance: A holistic approach to vocational self-awareness & career path.

Schools are responsible for helping students in their vocational career development in the sense that they should sustain students in developing skills required by the job market. Pre-tertiary school guidance is an indispensable aspect, since poor scholar guidance is always associated with failure at school. In the context of career paths, we propose an innovative approach, a solution to guide pre-tertiary students to choose the optimum vocational path.