• Produktbild: Pedagogical Revelations and Emerging Trends
  • Produktbild: Pedagogical Revelations and Emerging Trends

Pedagogical Revelations and Emerging Trends

85,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2025

Herausgeber

C. Sheeba Joice + weitere

Verlag

Taylor & Francis

Seitenzahl

262

Maße (L/B/H)

28/21/1,6 cm

Gewicht

453 g

Sprache

Englisch

ISBN

978-1-03-296002-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2025

Herausgeber

Verlag

Taylor & Francis

Seitenzahl

262

Maße (L/B/H)

28/21/1,6 cm

Gewicht

453 g

Sprache

Englisch

ISBN

978-1-03-296002-9

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  • Produktbild: Pedagogical Revelations and Emerging Trends
  • Produktbild: Pedagogical Revelations and Emerging Trends
  • 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