This chapter focuses on the evolving landscape of computer science education in higher institutions, emphasizing the need to prepare students for a rapidly changing technology industry. It explores the integration of self-directed learning techniques in computer science courses to enhance outcomes, engagement, and critical skills like problem-solving. The chapter compares traditional instruction with self-directed learning, highlighting the benefits of the latter in terms of motivation, autonomy, and understanding complex computer science concepts. It reviews existing research in this area and introduces a conceptual framework aligning self-directed learning principles with core computer science concepts.