Seongyong Lee

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seongyong Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Joseph Weizenbaum
  2. Matthew Lombard
  3. Teo Sušnjak

Papers from Seongyong Lee's perspective

Ordered by how strongly the researchers Seongyong Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Systematic review of research on artificial intelligence applications in higher education – where are the educators? (International Journal of Educational Technology in Higher Education)
  2. Technology for Classroom Orchestration
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Towards Intelligent-TPACK: An empirical study on teachers' professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education (Computers in Human Behavior)
  5. Vision, challenges, roles and research issues of Artificial Intelligence in Education (Computers and Education: Artificial Intelligence)
  6. Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education (Education and Information Technologies : Official Journal of the IFIP technical committee on Education)
  7. Chatbot learning partners: Connecting learning experiences, interest and competence (Computers in Human Behavior)
  8. Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability
  9. ChatGPT: The End of Online Exam Integrity? (Education sciences)
  10. Chatbots for language learning - Are they really useful? A systematic review of chatbot-supported language learning (Journal of Computer Assisted Learning)

Their papers