Abstract Machine Learning concept learns from experiences, inferences and conceives
complex queries. Machine learning techniques can be used to develop the educational …

Learning analytics have proved promising capabilities and opportunities to many aspects of
academic research and higher education studies. Data-driven insights can significantly …

The purpose of this article is to perform in‐depth research and analysis on the artificial
intelligence coordination and optimization mechanism of college counseling student …

Higher education institutions (HEIs) in both developed and developing countries are
confronted with increasing pressure to enhance their effectiveness and efficiency while …

Purpose—The purpose of this chapter is to analyze how higher education institutions can
successfully manage digital transformation. Originality/Value—The future of higher …

The pedagogical strategy of flexible learning itineraries in digital environments aligns with
current practices that focus on students' agency to control their own learning. Flexible …

The digital learning environment comprises various resources-didactically transformed and
untransformed information, and mediated communication. Students' information behaviour …

Abstract Students attending Higher Education Institutions (HEIs) are faced with a variety of
complex decisions and procedures. To provide students with more sustained and …

One of the biggest challenges in building sustainable smart cities of the future is skill
management and development. Developing the digital skills of the municipalities' workforce …

In Jordanian higher education institutions, a competency exam was developed to ensure
that students had the ability to attain particular competence levels. The results of the …