Artificial intelligence (AI) has been considered to be the next key technology for integrating technology into teaching and learning. The core technology behind it is machine learning or deep learning, which gives it the ability to imitate human thinking. Machine learning is a process by which computers look at a given data set to generate a model that can solve a problem. Deep learning algorithms are often used to compute and analyze high-dimensional data such as images, video, and audio. With the development of deep learning technology, many generative AI (GAI) is developing rapidly (Limet al., 2022). It can also generate personalized suggestions based on user's behavioral data and preferences. Common GAI products currently include ChatGPT, DALLE-E, Midjourney, and so on. This technology has gradually changed human life. In the future, GAI will also have great potential to change the current educational landscape. Therefore, researchers and educators need to evaluate and discuss the features, conditions, and applicable teaching and learning areas of GAI to provide sufficient reference resources for future teaching and learning sites. Therefore, this workshop will emphasize a wide spectrum of research or practical topics related to the usage of GAI in education.

Paper format

This workshop looks for Full and Short papers that follow the author guidelines of ICCE2023.

• Full paper (8-10 pages)

• Short paper (5-6 pages)

Please download the latest version of the Paper Template file in preparing your manuscript.

Double anonymized review

This workshop practices double-blind review, i.e., the authors of the submitting papers will not know who their referees are, while the referees will be aware of the authors of the papers that they are reviewing. Anonymization is no longer required in the submitted manuscripts.

Submission 

Please submit your paper via email to the WS chair: Chiu-Lin Lai, jolen761002@gmail.com

All accepted papers will be published in proceedings, which will be submitted to Elsevier for inclusion in Scopus. All papers should follow the paper format of the main conference.