Some of the challenges, it might raise major ethical questions about student consent, data ownership, and security against breaches which might affect the privacy of the learner. It also requires significant financial investment, and technical expertise, which is not afford by the third-world countries. Only few can be able to implement this.

ALEKS is an artificial intelligence-based learning and assessment system widely used in K-12 and college-level mathematics and chemistry courses.
When a student first logs in, ALEKS administers an adaptive diagnostic assessment. The student is presented with problems, and based on their answers, the system continuously adjusts the difficulty and content of the next question. The system uses the analytics to determine the optimal individualized learning path. The student is only presented with topics they are ready to learn (within their Zone of Proximal Development).

Effects: There is an increase in efficiency where students spend time only on topics they need to learn, saving time on content they already know.It also allows teachers to focus class time on the most challenging concepts, after receiving detailed analytics reports. 

References: 

Harati, H., Sujo-Montes, L., Tu, C.-H., Armfield, S. J. W., & Yen, C.-J. (2021). Assessment and learning in knowledge spaces (ALEKS) adaptive system impact on students' perception and self-regulated learning skills. Education Sciences, 11(10), 1-21, Article 603. https://doi.org/10.3390/educsci11100603

Evans, J. (2024). The effectiveness of ALEKS to address grade 8 students' math deficiencies (Doctoral dissertation, Walden University). Retrieve from scholarworks.waldenu.edu/dissertations/16447/ (Note: The specific URL may need adjustment, but the citation format is sound.)