• Dr. L. Venkateswara Reddy

Abstract There is growing consensus that the success of our students and our nation requires the modernization of our education system to be student-centered and personalized. Personalized learning does not require that all learning is digital, but it cannot be achieved at scale without technology. Technology-enabled personalized learning means that technology is used to identify student needs, dynamically customize a playlist of student learning experiences, support teachers, and learn what works best with which students to inform the development of ever smarter educational systems. Technology-enabled personalized learning is complex and requires many different components of the education system to work together to meet the needs of each student. This paper proposes a new technique called personalized recommendation in technology enhanced learning.

PERSONALIZED RECOMMENDATION FRAMEWORK , TEL,Classifier

"PERSONALIZED RECOMMENDATION FRAMEWORK IN TECHNOLOGY ENHANCED LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.746-750, April-2018, Available :http://www.jetir.org/papers/JETIR1804150.pdf

"PERSONALIZED RECOMMENDATION FRAMEWORK IN TECHNOLOGY ENHANCED LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp746-750, April-2018, Available at : http://www.jetir.org/papers/JETIR1804150.pdf