Date
Publisher
arXiv
In recent years, artificial intelligence (AI) has become increasingly integrated into education, reshaping traditional learning environments. Despite this, there has been limited investigation into fully operational artificial human lecturers. To the best of our knowledge, our paper presents the world's first study examining their deployment in a real-world educational setting. Specifically, we investigate the use of "digital teachers," AI-powered virtual lecturers, in a postgraduate course at the Hong Kong University of Science and Technology (HKUST). Our study explores how features such as appearance, non-verbal cues, voice, and verbal expression impact students' learning experiences. Findings suggest that students highly value naturalness, authenticity, and interactivity in digital teachers, highlighting areas for improvement, such as increased responsiveness, personalized avatars, and integration with larger learning platforms. We conclude that digital teachers have significant potential to enhance education by providing a more flexible, engaging, personalized, and accessible learning experience for students.
Study at a glance
- Question: How do features of AI-powered virtual lecturers affect students' learning experiences?
- Setting and data: A postgraduate course at the Hong Kong University of Science and Technology.
- Method: Not stated in the abstract.
Why it matters
Although artificial intelligence is increasingly reshaping traditional learning environments, there has been limited investigation into fully operational artificial human lecturers in real-world educational settings.
Key findings
- In a Hong Kong university postgraduate course, findings suggest students highly valued naturalness, authenticity, and interactivity in AI-powered virtual lecturers.
- Students reported that digital lecturers needed improvements in responsiveness, avatar personalization, and integration with larger learning platforms.
- Virtual lecturers showed potential to provide more flexible, engaging, personalized, and accessible learning experiences for students.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
