April 2022
Intermediate to advanced
516 pages
22h 32m
English
book
Artificial Intelligence and Machine Learning for EDGE Computing
by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
Content preview from Artificial Intelligence and Machine Learning for EDGE Computing
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Chapter 16: Evaluate learner level assessment in intelligent e-learning systems using probabilistic network model
Rohit B. Kaliwal; Santosh L. Deshpande Department of Computer Science & Engineering, Visvesvaraya Technological University, Belagavi, Karnataka, India
Abstract
E-learning is a broader term than “m-learning” and “online learning.” The originality is that it provides the learner with the chance to learn anywhere and anytime. As technology is improving, teaching-learning methodologies are also changing by making electronic learning one of the leading trends in the education system. Due to the complexity of the education system, the prospective dynamics of e-learning require the development of a knowledge delivery and evaluation ...
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