Unveiling Possibilities: Challenges, Opportunities, and Implications of Human–Machine Learning in Transformative Educational Spaces

In this chapter, we investigated the potential applications of human-centered machine learning (HCML) throughout the educational sector. To improve educational procedures, it emphasizes the necessity of combining computer and human intelligence. The purpose of this chapter is to examine the potential applications of HCML in building classrooms that are engaging, interactive, and inviting to students of all abilities. Making information more accessible, customizing course materials to fit increasing industry requirements, and personalizing the learning experience via the use of human-centered machine learning are some of the topics that are discussed in this chapter. Moreover, concerns about privacy, ethical concerns, and biases found in instructional machine learning are some of the important topics that are discussed in this chapter. In its last section, the chapter examines the effect that HCML will have on education in the future, as well as the socio-technological framework that will be required to bring about these changes. This chapter is a crucial resource for those in the business sector, government, and academia who are interested in the relationship between technology and education.