Workshops

2nd Work-in-Progress Workshop:

 “Rapidly Growing Artificial Intelligence DEVELOPMENT and Applications IN EDUCATION” (RAPID AI APP_ ED)

 

CHAIRS

Maria Virvou, University of Piraeus

George Tsihrintzis, University of Piraeus

Nikolaos Bourbakis, Wright State University

 

IISA 2024 conference proudly presents the 2nd Work-in-Progress (WiP) Workshop on “Rapidly Growing Artificial Intelligence Development and Applications in Education” (RAGDAIA_ED). Major advancements in AI have changed rapidly the landscape of AI and its applications in Education welcoming AI experts as well as non-AI experts to use AI widely for educational purposes. In view of these advancements, the scientific community needs to examine the new directions, profits and challenges of rapidly growing AI in Educational applications. The workshop provides a platform for scientists to exchange ideas on the rapidly evolving  AI in Educational applications, which includes the emergence of Large Language Models like OpenAI CHAT-GPT and Google BERT. They will explore how LLMs are changing the landscape of natural language processing and their potential applications in various fields, including education, healthcare, and finance.

Furthermore, the workshop will cover the latest developments in widespread AI applications, including off-the-shelf AI software products that require minimal customization. Participants will learn about the benefits and limitations of these products, as well as the impact of AI on the job market and workforce.

The workshop also aims to investigate the valuable insights gained from the wide integration of computers in all areas during the COVID-19 pandemic. The participants will discuss how AI has helped address challenges posed by the pandemic, such as remote learning and virtual healthcare. Additionally, they will explore the potential implications of rapid advancements in AI on various sectors, including privacy, security, and ethics.

 The event will feature a panel discussion and paper presentations on current research in the field.

PANEL DISCUSSION

The panel discussion will bring together experts from academia and industry to discuss the latest trends and challenges in Rapidly Growing Artificial Intelligence Development and Applications in Education. They will share their insights and engage in a lively debate that will explore the emerging issues in the field.

PAPER PRESENTATIONS

In addition to the panel discussion, the workshop will also feature paper presentations that enables writers to present innovative, top-notch, and up-to-the-minute work. This is an opportunity for researchers and scholars to showcase their ongoing research projects, present their findings, and receive valuable feedback from their peers on the field of Rapidly Growing Artificial Intelligence Development and Applications in Education.

 

CALL FOR WORK-IN-PROGRESS PAPERS

 

Prospective authors are invited to submit their Work-in-Progress (WiP) papers investigating the rapidly-changing scientific advancements of artificial intelligence and its wide-ranging applications in educational application areas.

SCOPE

The scope of the WiP covers diverse subjects, ranging from initial research findings to creative projects, design ventures, or theoretical inquiries. We invite submissions of papers that will provide a summary of speculative breakthroughs, education-featured projects, open problems, new application challenges, visionary ideas, ethical issues, preliminary studies, or recent achievements that are not yet suitable for a full-length paper. We encourage WiP papers on all aspects of rapid growth of artificial intelligence in Education.

WiP contributions may entail early phases of technological advancement or investigation, but they must not be in the process of review elsewhere or have appeared in any published form.

 

TOPICS

Topics include but are not limited to:

  • LLMs and NLP: Discussing the latest research on Large Language Models such as OpenAI CHAT-GPT and Google BERT, and their impact on Education.
  • Educational Applications of LLMs: Exploring the potential applications of Large Language Models in fields such as education.
  • Off-the-shelf AI software: Examining the benefits and limitations of ready-made AI software products and their potential for Education.
  • Challenges of CHAT-GPT and LLMs in Education
  • Ethical considerations of CHAT-GPT and LLMs in Education
  • Evaluations of CHAT-GPT and LLMs in Education
  • Future trends of AI- off the shelf in Education
  • The black box problem in rapidly growing AI in Education
  • Trust and explainability in rapidly growing AI in Education
  • Wide accessibility of AI technology for use in Education
  • Exploring the Role of AI in the Post-COVID Era: Highlighting the Impact of AI in Addressing Challenges posed by the Pandemic, including Remote Learning
  • Explainable AI: Transparency and interpretability in AI for education.
  • Deep Learning: Examining rapid advancements in deep learning, including convolutional neural networks, recurrent neural networks, and generative adversarial networks in Education.
  • AI in Education for Social Good: Highlighting examples of how rapidly growing AI can be employed to benefit society and address social issues
  • Ethical and privacy concerns: Identifying potential ethical and privacy concerns associated with the potential widespread use of AI in Education, and exploring strategies for addressing them.
  • International collaboration: Highlighting opportunities for international collaboration and cross-disciplinary research in the field of the rapidly growing AI in Education.
  • Rapidly growing AI in Education and human teahers: Considering the impact of AI on the workforce and strategies for mitigating negative effects.
  • Future directions: Discussing the future of AI research and development, and identifying potential directions for future research projects.

 

INSTRUCTIONS FOR AUTHORS

 

All Work-in-Progress papers should be submitted via www.easyacademia.org, and please make sure to follow the Submission Guidelines. All submissions should be written in English with a maximum paper length of four pages (including figures and references), as short papers only. Accepted WiP papers will be published in the IEEE IISA 2024 Conference Proceedings and submitted to IEEE Xplore® as well as other Abstracting and Indexing (A&I) databases.

 

 

IMPORTANT DEADLINES

Paper submission: May 17, 2024 (Final Extension)
Author notification: June 10, 2024 (updated)
Camera-ready paper submission: June 24, 2024 (updated)