It is important to find an area of focus that is related to a career path that aligns with engineering students' abilities, technical background, and long-term goals. Due to the array of available specializations in industry categories, selecting the best fit for their interests is a big challenge for engineering students. For example, the computer science category includes information technology, programming languages, software engineering, networks, etc. Most departments focus on one industry category and under each category there are concentrations. When students start their journey through college, they focus on a specific concentration that they think they will succeed in. Some students, after starting some of the courses, find that their selected area of focus no longer fits with their abilities or their interests. Some of them try to change their concentration, program, or college, while some of them leave college because they think that their ability is not enough to continue studying. Today, Artificial Intelligence (AI) can be used to improve the education process by helping students learn better and faster when paired with highquality learning materials and instruction. Also, AI systems can help students get back on track faster by alerting teachers to potential problems. This paper proposes a Deep Learning Neural Networks approach that helps students select their best-fit specialization in a specific category. Deep learning is a subset of machine learning, but it can determine whether a prediction is accurate through its own neural network-no human help is required [1]. The proposed system will use a dataset that contains student data that is related to the general education courses required for their program, such as grades, the number of hours spent on each course's materials, the opinion of the student about the content of each course, and the course(s) that the student enjoyed the most. Additional data will be included in the dataset such as the student's preferred specialization and the kinds of subjects the student enjoys studying. The proposed Deep Learning Neural Networks system will help students choose a path of study that best fits their abilities and their goals, and that prepares them for successful careers.
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Jawad et al. (2024) studied this question.