Abstract
A framework is described in this paper. To enhance teaching learning procedure in education it is important to find critical factors and the way they are affecting this process. In this paper a framework is designed for achieving the highly specified and target oriented objective in education. This paper describes study in two sections, first focusing on framework and second related to Machine Learning in education along with critical factors affecting Teaching Learning.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Vesely AK, Saklofske DH Analytics for Education
www.bigdata-madesimple.com/8-ways-machine-learning-will-improve-education
Ahmad W The empirical influence of country-of-origin (COO) factor on Pakistani consumers’ evaluation of French cosmetics
Duzhin F, Gustafsson A Machine Learning-Based App for Self-Evaluation of Teacher-Specific Instructional Style and Tools
Sakulwichitsintu S, Ellis L, Colbeck D, Turner P (2018) A peer learning framework for enhancing students’ learning experiences in online environments. In: 2018 IEEE 18th International conference on advanced learning technologies
Nadkarni PM, Ohno-Machado L, Chapman WW (2011) Natural language processing: an introduction. J Am Med Inform Assoc 18(5):544–551
Maravanyika M, Dlodlo N An adaptive framework for recommender based Learning Management Systems
Al-Hunaiyyan A, Bimba AT A cognitive knowledge-based framework for social and metacognitive support in mobile learning
Liu K, Hogan WR, Crowley RS (2011) Natural language processing methods and systems for biomedical ontology learning. J Biomed Inform 44(1):163–179
De Vries MH, Monaghan P, Knecht S, Zwitserlood P (2008) Syntactic structure and artificial grammar learning: the learnability of embedded hierarchical structures. Cognition 107(2):763–774
https://www.thehindu.com/education/nurturing-innovators/article23279020.ece
GarcÃa-Peñalvo FJ, et al. (2017) Enhancing Education for the Knowledge Society Era with Learning Ecosystems
Srikant S, Aggarwal V A System to Grade Computer Programming Skills using Machine Learning
Wakelam E, Jefferies A, Neil Davey, A, Sun Y The potential for using artificial intelligence techniques to improve e-learning systems. University of Hertfordshire, Hatfield
Nashine D, Dhawale K Machine Learning Approach: A science to make System Smart – Literature Review
Mumtaz S Factors affecting teachers’ use of information and communications technology: a review of the literature. J Inf Technol Teach Educ
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nashine, D.V., Nirmala, K. (2021). A Generalized Framework for Technical Education and Implementation of Machine Learning Techniques. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_92
Download citation
DOI: https://doi.org/10.1007/978-981-15-7961-5_92
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-7960-8
Online ISBN: 978-981-15-7961-5
eBook Packages: EngineeringEngineering (R0)