Potentialities and priorities for higher educational development in Saudi Arabia for the next decade: Critical reflections of the vision 2030 framework.

Contributing to Vision 2030, Saudi higher educational institutions (HEIs) must reform their education system, reevaluate their potentialities, and priorities to support higher education development in achieving the Vision theme. With this goal, several educational innovation projects have been introduced to attain the vision's higher educational development strategic objectives. This study investigates the HEIs' current practices and analyses their achievements and the progress toward achieving the Vision's higher education development goals for the first review cycle (2016-2020) of the Vision. Academic expert interviews and surveys were conducted involving participants from the top ten Saudi universities to know how these institutions contribute to the Vision progress using an innovative approach. Juxtaposing HEIs' potential and priorities with the Vision's higher educational objectives to determine the development progress. The findings reveal that the most sought priorities are the new modern curriculum, industry-based academic learning outcomes, skilled graduates, faculty development, innovative research, foreign universities collaborations, accreditations, and lifelong learning focusing on future skills. The tendency of these priorities works on higher education development, improving professional competency, filling the gaps between higher education outcomes and the growing market needs, revitalizing universities, and linking to knowledge base society. The presented approach will be an effective tool for understanding how specifically these entities contribute toward achieving the vision's targets. It is a significant model for future studies, useful for analyses of higher education potentialities' performances, and enhances readers' understanding.

Human Intelligence Analysis through Perception of AI in Teaching and Learning.

Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the quality of teaching and learning, the use of artificial intelligence approaches is being studied. Artificial intelligence integration in educational institutions has been addressed, though. Students' assistance, teaching, learning, and administration are also addressed in the discussion of students' adoption of artificial intelligence. Artificial intelligence has the potential to revolutionize our social interactions and generate new teaching and learning methods that may be evaluated in a variety of contexts. New educational technology can help students and teachers better accomplish and manage their educational objectives. Artificial intelligence algorithms are used in a hybrid teaching mode in this work to examine students' attributes and introduce predictions of future learning success. The teaching process may be carried out in a more efficient manner using the hybrid mode. Educators and scientists alike will benefit from artificial intelligence algorithms that may be used to extract useful information from the vast amounts of data collected on human behavior.