This book presents the proceedings of the 7th International Conference on Education, Network and Information Technology (ICENIT2024), which took place in Dalian, China, on August 16-18, 2024. The conference provides a platform for relevant scholars and researchers to discuss the impact of network and information technology on education, improve the research and application level of domestic education, and promote academic exchanges in related fields as well. Topics include web classroom applications, technology-enhanced learning, computer distance education, AI in education, digital libraries information system applications, and more. The conference is relevant to researchers, professionals, practitioners, and students in education, and IT.
- Presents the proceedings of the 7th International Conference on Education, Network and Information Technology (ICENIT2024)
- Provides a platform to discuss the impact of network and information technology on education
- Relevant to researchers, professionals, practitioners, and students in education, and IT
Chapter 1: Development of virtual experimental system for parallel shaft
automatic transmission.
Chapter 2: Design of Ideological and Political
Teaching Resource Platform for Artificial Intelligence Course.
Chapter 3:
Design and Learning Effectiveness Algorithm of Online Teaching Interactive
System.
Chapter 4: Automatic Evaluation of English Writing: Combining TF-IDF
and Text Similarity Algorithm.
Chapter 5: User Behavior Analysis and
Personalized Recommendation Algorithm in an Online Learning Platform Based on
Deep Learning.
Chapter 6: Expansion of Chinese Lexicon and Language Model
Optimization in the Perspective of Big Data Using the Word2Vec Model.-
Chapter 7: Big Data-driven Talent Development Program: A Study Based on
Association Rule Mining.
Chapter 8: Design and Optimization of Financial
Course System Based on Improved SDAE Network.
Chapter 9: Smart Teaching
Knowledge Topic Mining and Interdisciplinary Research Using Latent Dirichlet
Allocation Taking the Corpus as an Example.
Chapter 10: Generative
Adversarial Networks for Realistic Generation of Children's Learning State
Data.
Chapter 11: Application of Collaborative Filtering Algorithm in a
Preschool Education Resource Sharing Platform.
Chapter 12: Automatic
Evaluation of English Oral Proficiency: Feature Selection and Performance
Optimization Based on Decision Trees.
Chapter 13: A method for constructing
lightweight AI experimental platform.
Chapter 14: Research on personalized
test question recommendation algorithm based on Knowledge Map.
Chapter 15:
Design and Development of English Vocabulary Memory Game Based on Android
Platform.
Chapter 16: Technology-supported writing instruction: A systematic
literature review and meta-analysis.
Chapter 17: Design and Implementation
of Learning Resource Exchange Platform APP Based on Android.
Chapter 18:
Reform of "Ship Awareness Internship" Course Based on AI Intelligent Tutoring
System in the Context of Engineering Certification.
Chapter 19: Research on
Visual Teaching Based on Python Technology Application.
Chapter 20: Design
and Implementation of an English Intelligent Dialogue System Based on Deep
Learning Algorithms.
Chapter 21: The Application of Data Mining Technology
in Student Management System.
Chapter 22: Student Management System Based on
Artificial Intelligence and Digital Technology.
Chapter 23: Research on
teaching skills and postures of normal university students based on
OpenPose.
Chapter 24: Three-dimensional Simulation of the Tower of Hanoi
using an Improved Recursive Algorithm and Multipatch.
Chapter 25: Design and
Implementation of an Intelligent Assisted Learning System for Discrete
Mathematics.
Chapter 26: Research on the cubic spline interpolation
algorithm for predicting the demand of medical laboratory teachers in
vocational colleges.
Chapter 27: Research on Risk Feature Extraction and
Prevention Model Construction Based on XGBoost Algorithm.
Chapter 28: Method
for Evaluating the Comprehensive Quality of Polytechnic College Students by
Integrating Virtual Human-Computer Interaction Assessment.
Jingsha He received the bachelors degree in computer science from Xian Jiaotong University, China, and the masters and Ph.D. degrees in computer engineering from the University of Maryland, College Park, MD, USA. He worked for several multinational companies in the USA, including IBM Corporation, MCI Communications Corporation, and Fujitsu Laboratories. He is currently a Professor with the Faculty of Information Technology, Beijing University of Technology (BJUT), Beijing. He holds 12 U.S. patents. Since August 2003, he has published more than 300 articles in scholarly journals and international conferences. He also holds more than 84 patents and 57 software copyrights in China and authored nine books. He was a principal investigator of more than 40 research and development projects. His current research interests include information security, wireless networks, and digital.
Ljiljana Trajkovi received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. Dr. Trajkovic served as IEEE Division X Delegate/Director, President of the IEEE Systems, Man, and Cybernetics Society, and President of the IEEE Circuits and Systems Society. She serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems. She was a Distinguished Lecturer of the IEEE Circuits and System Society and a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society. She is a Fellow of the IEEE.
