The Changing Nature of Writing Centers in the Era of ChatGPT
Downloads
This article explores how the advent of AI technologies, particularly OpenAI's ChatGPT, is transforming the operations and functions of writing centers. Writing centers, traditionally dedicated to providing personalized writing assistance and fostering writing skills development, are now integrating AI-driven tools to enhance their services. This review examines the impact of ChatGPT on writing center practices, the benefits and challenges of AI integration, and the evolving roles of writing tutors. It also considers future trends and the implications for writing education. The historical evolution of writing centers is traced, highlighting significant shifts in response to technological advancements. This article aims to provide insights into how writing centers can effectively adapt to the AI era while maintaining their core mission of supporting student writers.
Downloads
Braimoh, J. (2020). The impact of texting language on Nigerian students: a case study of final year linguistics students. Per Linguam: a Journal of Language Learning= Per Linguam: Tydskrif vir Taalaanleer, 36(1), 15-31.
Biswas, A., & Talukdar, W. (2024). Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy. arXiv preprint arXiv:2406.06569.
Biswas, A., & Talukdar, W. (2023). Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM). Journal of Science & Technology, 4(6), 55-82.
Biswas, A., & Talukdar, W. (2024). Robustness of Structured Data Extraction from In-Plane Rotated Documents Using Multi-Modal Large Language Models (LLM). Journal of Artificial Intelligence Research.
Biswas, A., & Talukdar, W. (2024). Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation. arXiv preprint arXiv:2405.18346.
Biswas, A. (2024). Media insights engine for advanced media analysis: A case study of a computer vision innovation for pet health diagnosis. arXiv preprint arXiv:2407.13679.
Talukdar, W., & Biswas, A. (2024). Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling. arXiv preprint arXiv:2406.01096.
Biswas, A., & Talukdar, W. (2024). FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models. arXiv preprint arXiv:2406.01618.
Leng, Q., & Peng, L. Medical Image Intelligent Diagnosis System Based on Facial Emotion Recognition and Convolutional Neural Network.
Bhadani, U. (2023, June). Verizon Telecommunication Network in Boston. In 2023 5th International Conference on Computer Communication and the Internet (ICCCI) (pp. 190-199). IEEE.
Bhadani, U. (2020). Hybrid Cloud: The New Generation of Indian Education Society.
Paroha, A. (2022). Integration of Internet of Things (IoT) in Petroleum Reservoir Monitoring: A Comprehensive Analysis of Real-Time Data for Enhanced Decision-Making. Transactions on Latest Trends in IoT, 5(5), 1-15. Retrieved from https://ijsdcs.com/index.php/TLIoT/article/view/436
Paroha, A. D., & Chotrani, A. (2024). A Comparative Analysis of TimeGPT and Time-LLM in Predicting ESP Maintenance Needs in the Oil and Gas Sector. International Journal of Computer Applications, 975, 8887.
Paroha, A. (2023). Machine Learning Applications for Predictive Modeling of Petroleum Reservoir Behavior and Production Dynamics. International Journal of Machine Learning for Sustainable Development, 5(3), 91-101. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/437
A. D. Paroha, "Rate of Penetration Prediction using Batch Normalized Deep Elman Neural Network," 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India, 2024, pp. 34-40, doi: 10.1109/ICAAIC60222.2024.10575170
A. D. Paroha, "Real-Time Monitoring of Oilfield Operations with Deep Neural Networks," 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT), Gharuan, India, 2024, pp. 176-181, doi: 10.1109/InCACCT61598.2024.10551126
A. D. Paroha, "Integrating IoT, AI, and Cloud Technologies for Sustainable Oilfield Operations," 2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), Chengdu, China, 2024, pp. 120-126, doi: 10.1109/ICCCBDA61447.2024.10569783
Esfahani, M. N. (2024). Content Analysis of Textbooks via Natural Language Processing. American Journal of Education and Practice, 8(4), 36-54.
Copyright (c) 2024 Mahshad Nasr Esfahani
This work is licensed under a Creative Commons Attribution 4.0 International License.
