Pedagogical Revelations and Emerging Trends
CRC Press (Verlag)
978-1-032-96002-9 (ISBN)
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ICEM’24 was the second edition organized by Saveetha Teaching Learning Centre (STLC), Saveetha Engineering College, India. The confluence explored and enhanced the potential of Engineering Educators and Learners with the aim to provide a global platform to identify best practices in teaching and applaud the evolutionary aspects involved in reaching the zenith. It consisted of two keynote sessions and paper presentations under two tracks namely Technology Oriented Learner-Centric Teaching Learning and Industrial Collaboration in Teaching Learning. It proposed to publish research papers on theoretical analysis, experimental studies and innovation, concerning advanced techniques in the field of pedagogy.
C. Sheeba Joice is the Associate Dean of Saveetha Teaching Learning Centre at Saveetha Engineering College, Chennai. She is also serving as a Professor and Deputy Head in the Department of Electronics and Communication Engineering. Her areas of interest in research include Embedded Systems, Image Processing and Pedagogical innovations. M. Selvi is currently working as the Professor and Deputy Head in the Department of Electronics and Communication Engineering, Saveetha Engineering College, Anna University Chennai. Her research interest includes IoT, Assessment Methodology and Online content development.
Chapter 1. The AI tutor: Revolutionizing education through personalized learning
Sornavalli G., Sreeshma M. Nair, Srija Vardharajan and Srujana Srinivasan
Chapter 2. Strategies for effectively facilitate online courses and leverage technology for teaching
educators
N. Ashokkumar, P. Nagarajan, M. Bharathi and N. Swetha
Chapter 3. Investigating innovative approaches to learning – Gradient descent and regression for
millennials
Varsha S., Kinshuk Agarwal, Kushagra Awasthi, Prapulla S. B., Deepamala N., Prakash R.
and Jayalatha
Chapter 4. Evaluating the impact of learning analytics on assessments within a learning management system: A case study
Sheeba Joice C., Selvi. M. and Ramyapandian Vijayakanthan
Chapter 5. Course management e-learning evaluation to predict students’ achievement factors using a novel normalized discounted cumulative gain (NNDCG) technique in comparison with Silhouette score cluster model with improved retention rate
Parthasarathy V. and Devi T.
Chapter 6. Measuring influence of emotional empowerment on English language acquisition of
freshman engineering students through FLE and FLCA scale
Jayanti Shinge, Vishakha Mandrawadkar, Naveenkumar Aigol and Khezia Olagundi
Chapter 7. Achieving program outcomes in engineering education: Strategies for curriculum integration and assessment refinement
Arun Kumar A, Rajakarunakaran S and Ganesan L
Chapter 8. Improving educational assessment: Evaluating student performance with gradient boosting regression and comparative analysis with linear regression to minimize mean squared error
P. Lakshmi Kiran Reddy and R. Jeena
Chapter 9. Improving accuracy in assessing student adaptability in online education: A comparative study of random forest and decision tree models
G. NithinKumar and Mahaveerkannan R.
Chapter 10. Evaluating learning outcomes by comparing conventional and activity-based learning
methods in control system engineering
Sheeba Joice C., Hitha Shanthini S., Jenisha C. and John D. Rodney
Chapter 11. Navigating data streams: An in-depth analysis of network efficiency in data structure
learning apps. A comparative study between android and web platforms for optimal educational app performance
T. Neshanth and P. Dass
Chapter 12. Differentiated instruction and assessment for English language learners from theory to
practice
K. Sasidhar and G. Aruna
Chapter 13. Upskilling strategies for HR in the age of AI: Empowering organizational transformation
Vanitha A. and Latha K.
Chapter 14. Unleashing innovative engagement in programming education
Sneha Pokharkar, Shridhar Khandekar, Dipti Sakhare, Vrushali Waghmare and Mahesh Goudar
Chapter 15. Effective assessment of teaching and learning methods in management studies
P. Periasamy, R. Ravimohan, Ramasundaram G., Deepak R., Sangeetha P. and Srinidhi S.
Chapter 16. Technological impact and English proficiency level of engineering students
Jainab Zareena
Chapter 17. Identity crisis in generation Z students: Understanding its effect on social skill development
Vishakha Mandrawadkar, Jayanti Shinge, Naveenkumar Aigol and Khezia Olagundi
Chapter 18. Comparative analysis of technology-enhanced teaching methods in engineering mathematics using TOPSIS method
N. Kavitha, G. Uthra and V. Anandan
Chapter 19. Assessing the flipped classroom approach for management students
Niranchana Shri Viswanathan and Delecta Jenifer Rajendren
Chapter 20. Improvisation of reading efficacy among the technical students through phygital learning model
K. Velmurugan
Chapter 21. Technology-based pedagogical approaches for teaching and learning
Kalpana Pawase, Mahesh Goudar, Usha Verma and Bhagyashri Alhat
Chapter 22. An automated framework for improving paper correction in educational technology using long brief-term memory (LBTM) compared with random forest calculation
Thota Bhanu Chand and R. Kesavan
Chapter 23. Leveraging machine learning for paragraph-based answer generation
Maridu Bhargavi, Cherukuri Sowndaryavathi, Kshama Kumari, Ankit Kumar Prabhat and
Manish Kumar
Chapter 24. Elevating user satisfaction in cross-platform music education: An in-depth analysis of tutor finder applications on android and web platforms
Praveen D. and Christy S.
Chapter 25. Optimizing student placement prediction using ensemble learning
Khushi Kumari, Bipul Kumar, P. Jahnavi and Y. Snehalatha
Chapter 26. Chatbot development for educational institute using linear regression algorithm in
comparison with Q learning algorithms
Jack Spencer P. and S. Joshua Kumaresan
Chapter 27. Student placement prediction
Maridu Bhargavi, Kunal Kumar, G. Sai Vijay, Ch. Sai Teja and Neerukonda Dharmasai
Chapter 28. Exploring the evolution and implications of e-learning ecosystems
H. Mary Henrietta
Chapter 29. Student performance prediction in online courses using K-NN algorithm with comparative study of gradient boosted algorithm to improve the accuracy
Indusekhar B. and N. P. G. Bhavani
Chapter 30. Innovative approaches and strategies to eradicate challenges for quality assurance in higher education
Veera Boopathy E., Ragupathi N., Suma N. and Mydhili S. K.
Chapter 31. E-Learning platforms strategies to ensure inclusivity and equal learning opportunities for students with disability
P. Nagarajan, N. Ashokkumar, A. Shirly Edward, Anita Christaline JohnVictor and G. Logambal
Chapter 32. Drivers of successful E-learning eco-system - Exploring with an empirical investigation
B. Latha Lavanya, Priyadarshini B. and L. Anitha
Chapter 33. Students’ achievement factor prediction in course management E-learning using a novel normalized discounted cumulative gain (NNDCG) technique over probabilistic occurrence
model based on retention rate
Parthasarathy V., and Devi T.
Chapter 34. Elevating engineering mechanics course through problem and project-based learning:
Insights and experiences
C. Sravanthi, Pratibha Dharmavarapu and Neeraja Akula
Chapter 35. Advancing computational epistemology for enhanced credibility assessment in online social platforms using Naive Bayes classifier in comparison with recurrent neural networks
Murtaza Moiz P. and Dinokumar Kongkham
Chapter 36. Analysis of learner’s experience in database management system: Module-based approach
E. Sujatha, M. Selvi and D. Naveen Raju
Chapter 37. Crafting real-world learning: Industry-driven pedagogy for civil engineering education
Padma SrinivasaPerumal, Kalpana Manoharan and Amsayazhi Pandian
Chapter 38. Unveiling user satisfaction in cross-platform education: A comparative analysis of android and web-based java learning applications
Tharoon R. and Loganayagi S
Chapter 39. Unlocking critical problem solving: Navigating challenges with design thinking
M. Bharathi, N. Ashok Kumar and Krithikaa Mohanarangam
Chapter 40. Improving accuracy in comprehensive analysis of educational institutions using XG Boost compared to DBSCAN algorithm
P. Jai Vignesh and G. Charlyn Pushpa Latha
Chapter 41. Enhancing online learning based on modified recurrent neural network (RNN) compared with incremental feature learning
Harini A. and Pramila P.V.
Chapter 42. Deep learning for skin cancer detection: A technological breakthrough in early diagnosis
R. Renugadevi, A. Teja Sai Mounika, G. Nandhini and K. Lakshmi
Chapter 43. Enhancing employee turnover prediction with ensemble blending: A fusion of SVM and
CatBoost
Naga Naveen Ambati, Swapna Sri Gottipati, Vema Reddy Polimera, Tarun Malla and Maridu Bhargavi
Chapter 44. Enhancing clinical decision-making: A machine learning approach for heart disease
prediction
N. Ahalya, G. Sahithi and V. Prudhvi Raj
Chapter 45. Securing railways by crack detection technology
Priyanka Devi S., Yadhu Nandhan, Vishal M. A., Vigneshwar K. and Heartlin Maria H.
Chapter 46. A comparative analysis for air quality prediction by AQI calculation using different machine learning algorithms
Rohit Kumar, V. Krishna Likitha, Md. Harshida, Sk. Afreen, Guduru Manideep and Maridu Bhargavi
Chapter 47. Optimization of 6T SRAM cell delay using Sleepy Keeper in Cadence Virtuoso 90 nm
technology
Madiraju Joshitha, Mavillapati Nicharitha and K. Mahendran
Chapter 48. Energy management system for hybrid AC/DC microgrids and electric vehicles-based on clouded leopard optimization control
S. Sruthi, K. Karthikumar and P. ChandraSekar
Chapter 49. Aquatic health guardian: A water quality monitoring system for fish farming
Pandiyan P., Aakash M., Dhinagaran M., Dharanish Raja K. and Mukilan M.
Chapter 50. Comparative analysis of facial expression recognition system for age, gender, and emotions
Sheeba Joice C., Jenisha C., Hitha Shanthini S. and R. Vedhapriyavadhana
Chapter 51. Unlocking the learning potential: Exploring the outcome of jigsaw-based cooperative
learning on the scholastic achievement
S. Sharmila Queenthy and M. Thirumavalava
| Erscheint lt. Verlag | 20.2.2025 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 210 x 280 mm |
| Themenwelt | Sozialwissenschaften ► Pädagogik ► Allgemeines / Lexika |
| Sozialwissenschaften ► Pädagogik ► Bildungstheorie | |
| Technik | |
| ISBN-10 | 1-032-96002-7 / 1032960027 |
| ISBN-13 | 978-1-032-96002-9 / 9781032960029 |
| Zustand | Neuware |
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