Artificial Intelligence Technologies in Education: A New Program Merging Educational Sciences and Engineering at BAU

BAU offers a new generation of academic approach in the field of education with the postgraduate programme in Artificial Intelligence Technologies in Education launched by the Graduate School of Education. The programme creates a strong foundation for educators, engineers, researchers and technology developers who want to design the future of learning by bringing educational sciences and engineering together on the same line. Today, education is being reshaped with data, algorithms and smart systems, moving beyond a structure limited to classrooms, blackboards and lecturing. Rather than positioning itself as an institution that merely follows this transformation, BAU establishes an educational model that trains the experts of this field.

The Artificial Intelligence Technologies in Education programme was designed at the intersection of education, Artificial Intelligence and data science. Students gain both theoretical and practical experience in fields such as Artificial Intelligence supported learning systems, learning analytics, personalised learning technologies and digital educational design. This structure does not only aim to speed up instructional processes; it aims to create more effective educational environments that understand the learner's needs, can make data-driven decisions and are supported by technology.

One of the most remarkable aspects of the programme is its interdisciplinary structure. While educational sciences focus on learning processes, pedagogy and student needs; the engineering approach offers system design, data processing, algorithm logic and application development power. By bringing these two fields together in the same programme, BAU demonstrates that educational technologies are not just a technical issue, but also a design field that directly affects the human experience. Therefore, Artificial Intelligence Technologies in Education offers a powerful development opportunity for engineers and researchers as much as teachers.

Learning analytics is one of the prominent topics of the programme. Making sense of students' learning data, identifying strong areas and areas open to development, and making educational processes more measurable are among the main contributions of this field. Personalised learning, on the other hand, is based on the fact that not every student progresses at the same pace, with the same method and with the same needs. Digital educational design comes into play at this point as a tool that makes the learning experience more accessible, interactive and student-oriented.

This master's programme does not only offer a field of academic development for professionals interested in the use of technology in education; it also gives the responsibility of designing the learning environments of the future. By bringing together Artificial Intelligence, data science and educational sciences, BAU offers a robust programme for those who want to understand how learning is changing and to guide this change.

The programme also contributes to professionals from different backgrounds developing a common language. While an educator learns to support the classroom experience with data; an engineer can more accurately read the impact of the system they have developed on the learner. Researchers, on the other hand, find the opportunity to evaluate educational data along with ethical responsibility and pedagogical goals.

Artificial Intelligence Technologies in Education stands out as a remarkable step for those who want to build the future of education starting today.