2 317 kr
Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.
Beskrivning
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.
Produktinformation
- Utgivningsdatum:2025-01-27
- Mått:210 x 280 x undefined mm
- Vikt:690 g
- Format:Inbunden
- Språk:Engelska
- Antal sidor:262
- Förlag:Taylor & Francis Ltd
- ISBN:9781032960012
Utforska kategorier
Mer om författaren
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.
Innehållsförteckning
- Chapter 1. The AI tutor: Revolutionizing education through personalized learning Sornavalli G., Sreeshma M. Nair, Srija Vardharajan and Srujana SrinivasanChapter 2. Strategies for effectively facilitate online courses and leverage technology for teaching educatorsN. Ashokkumar, P. Nagarajan, M. Bharathi and N. SwethaChapter 3. Investigating innovative approaches to learning – Gradient descent and regression for millennialsVarsha S., Kinshuk Agarwal, Kushagra Awasthi, Prapulla S. B., Deepamala N., Prakash R. and JayalathaChapter 4. Evaluating the impact of learning analytics on assessments within a learning management system: A case studySheeba Joice C., Selvi. M. and Ramyapandian VijayakanthanChapter 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 rateParthasarathy V. and Devi T.Chapter 6. Measuring influence of emotional empowerment on English language acquisition of freshman engineering students through FLE and FLCA scaleJayanti Shinge, Vishakha Mandrawadkar, Naveenkumar Aigol and Khezia OlagundiChapter 7. Achieving program outcomes in engineering education: Strategies for curriculum integration and assessment refinementArun Kumar A, Rajakarunakaran S and Ganesan LChapter 8. Improving educational assessment: Evaluating student performance with gradient boosting regression and comparative analysis with linear regression to minimize mean squared errorP. Lakshmi Kiran Reddy and R. JeenaChapter 9. Improving accuracy in assessing student adaptability in online education: A comparative study of random forest and decision tree modelsG. NithinKumar and Mahaveerkannan R.Chapter 10. Evaluating learning outcomes by comparing conventional and activity-based learning methods in control system engineeringSheeba Joice C., Hitha Shanthini S., Jenisha C. and John D. RodneyChapter 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 performanceT. Neshanth and P. DassChapter 12. Differentiated instruction and assessment for English language learners from theory to practiceK. Sasidhar and G. ArunaChapter 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 educationSneha Pokharkar, Shridhar Khandekar, Dipti Sakhare, Vrushali Waghmare and Mahesh GoudarChapter 15. Effective assessment of teaching and learning methods in management studiesP. Periasamy, R. Ravimohan, Ramasundaram G., Deepak R., Sangeetha P. and Srinidhi S.Chapter 16. Technological impact and English proficiency level of engineering studentsJainab ZareenaChapter 17. Identity crisis in generation Z students: Understanding its effect on social skill developmentVishakha Mandrawadkar, Jayanti Shinge, Naveenkumar Aigol and Khezia OlagundiChapter 18. Comparative analysis of technology-enhanced teaching methods in engineering mathematics using TOPSIS methodN. Kavitha, G. Uthra and V. AnandanChapter 19. Assessing the flipped classroom approach for management studentsNiranchana Shri Viswanathan and Delecta Jenifer RajendrenChapter 20. Improvisation of reading efficacy among the technical students through phygital learning modelK. VelmuruganChapter 21. Technology-based pedagogical approaches for teaching and learningKalpana Pawase, Mahesh Goudar, Usha Verma and Bhagyashri AlhatChapter 22. An automated framework for improving paper correction in educational technology using long brief-term memory (LBTM) compared with random forest calculationThota Bhanu Chand and R. KesavanChapter 23. Leveraging machine learning for paragraph-based answer generationMaridu Bhargavi, Cherukuri Sowndaryavathi, Kshama Kumari, Ankit Kumar Prabhat and Manish KumarChapter 24. Elevating user satisfaction in cross-platform music education: An in-depth analysis of tutor finder applications on android and web platformsPraveen D. and Christy S.Chapter 25. Optimizing student placement prediction using ensemble learningKhushi Kumari, Bipul Kumar, P. Jahnavi and Y. SnehalathaChapter 26. Chatbot development for educational institute using linear regression algorithm in comparison with Q learning algorithmsJack Spencer P. and S. Joshua KumaresanChapter 27. Student placement predictionMaridu Bhargavi, Kunal Kumar, G. Sai Vijay, Ch. Sai Teja and Neerukonda DharmasaiChapter 28. Exploring the evolution and implications of e-learning ecosystemsH. Mary HenriettaChapter 29. Student performance prediction in online courses using K-NN algorithm with comparative study of gradient boosted algorithm to improve the accuracyIndusekhar B. and N. P. G. BhavaniChapter 30. Innovative approaches and strategies to eradicate challenges for quality assurance in higher educationVeera 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 disabilityP. Nagarajan, N. Ashokkumar, A. Shirly Edward, Anita Christaline JohnVictor and G. LogambalChapter 32. Drivers of successful E-learning eco-system - Exploring with an empirical investigation B. Latha Lavanya, Priyadarshini B. and L. AnithaChapter 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 rateParthasarathy V., and Devi T.Chapter 34. Elevating engineering mechanics course through problem and project-based learning: Insights and experiencesC. Sravanthi, Pratibha Dharmavarapu and Neeraja AkulaChapter 35. Advancing computational epistemology for enhanced credibility assessment in online social platforms using Naive Bayes classifier in comparison with recurrent neural networksMurtaza Moiz P. and Dinokumar KongkhamChapter 36. Analysis of learner’s experience in database management system: Module-based approachE. Sujatha, M. Selvi and D. Naveen RajuChapter 37. Crafting real-world learning: Industry-driven pedagogy for civil engineering education Padma SrinivasaPerumal, Kalpana Manoharan and Amsayazhi PandianChapter 38. Unveiling user satisfaction in cross-platform education: A comparative analysis of android and web-based java learning applicationsTharoon R. and Loganayagi SChapter 39. Unlocking critical problem solving: Navigating challenges with design thinkingM. Bharathi, N. Ashok Kumar and Krithikaa MohanarangamChapter 40. Improving accuracy in comprehensive analysis of educational institutions using XG Boost compared to DBSCAN algorithmP. Jai Vignesh and G. Charlyn Pushpa LathaChapter 41. Enhancing online learning based on modified recurrent neural network (RNN) compared with incremental feature learningHarini A. and Pramila P.V.Chapter 42. Deep learning for skin cancer detection: A technological breakthrough in early diagnosisR. Renugadevi, A. Teja Sai Mounika, G. Nandhini and K. LakshmiChapter 43. Enhancing employee turnover prediction with ensemble blending: A fusion of SVM and CatBoostNaga Naveen Ambati, Swapna Sri Gottipati, Vema Reddy Polimera, Tarun Malla and Maridu BhargaviChapter 44. Enhancing clinical decision-making: A machine learning approach for heart disease predictionN. Ahalya, G. Sahithi and V. Prudhvi RajChapter 45. Securing railways by crack detection technologyPriyanka 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 algorithmsRohit Kumar, V. Krishna Likitha, Md. Harshida, Sk. Afreen, Guduru Manideep and Maridu BhargaviChapter 47. Optimization of 6T SRAM cell delay using Sleepy Keeper in Cadence Virtuoso 90 nm technologyMadiraju Joshitha, Mavillapati Nicharitha and K. MahendranChapter 48. Energy management system for hybrid AC/DC microgrids and electric vehicles-based on clouded leopard optimization controlS. Sruthi, K. Karthikumar and P. ChandraSekarChapter 49. Aquatic health guardian: A water quality monitoring system for fish farmingPandiyan P., Aakash M., Dhinagaran M., Dharanish Raja K. and Mukilan M.Chapter 50. Comparative analysis of facial expression recognition system for age, gender, and emotionsSheeba Joice C., Jenisha C., Hitha Shanthini S. and R. VedhapriyavadhanaChapter 51. Unlocking the learning potential: Exploring the outcome of jigsaw-based cooperative learning on the scholastic achievementS. Sharmila Queenthy and M. Thirumavalava
Hoppa över listan









Du kanske också är intresserad av
- Signerad!
- Nyhet
Hjärnans akilleshälar : hur din hjärna lurar dig, och vad du kan göra åt det
Anders Hansen
Inbunden
289 kr
- -30%
- -30%
Del 1
- -22%
Del 1
- Signerad!
Del 7
- Nyhet