The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Use of Natural Language Processing in Cognitive Tutoring
Abstract
Natural Language Processing (NLP) has revolutionized many fields, and its application in cognitive tutoring systems is proving to be a game-changer in personalized education. The chapter titled “Use of Natural Language Processing in Cognitive Tutoring” explores how NLP can enhance cognitive tutoring systems by enabling more natural, interactive, and effective learning experiences. Cognitive tutoring aims to model human thinking and provide individualized feedback, helping students understand complex subjects at their own pace. By incorporating NLP, these systems can become more responsive to students' needs, leading to improved engagement, learning outcomes, and overall educational effectiveness. The chapter begins by providing an overview of cognitive tutoring systems, which aim to provide personalized support to students based on their individual learning patterns and progress.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|