Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students.
Rita RoyMohammad Dawood BabakerkhellSubhodeep MukherjeeDebajyoti PalSuree FunilkulPublished in: IEEE Access (2022)
Keyphrases
- artificial intelligence
- e learning
- engineering students
- lego mindstorms
- university level
- educational environment
- open university
- applied sciences
- computer science students
- state university
- distance learning
- young researchers
- student learning
- learning environment
- electrical engineering
- library and information science
- engineering education
- technology acceptance model
- computer science
- teaching methods
- learning experience
- students studying
- computer science courses
- perceived usefulness
- semester long
- european higher education
- learning activities
- programming environment
- graduate school
- undergraduate and graduate
- collaborative learning
- mobile robot
- higher education
- undergraduate students
- student groups
- hong kong
- mobile technologies
- faculty members
- learning outcomes
- learning process
- learning styles
- high school
- engineering design
- online course
- information communication technology
- computer science education
- e government
- teaching assistants
- information technology
- case study
- computer engineering
- information systems
- web based courses
- team members
- science education
- computer programming
- university students
- intelligent machines
- mobile learning
- computer science and engineering
- empirically tested
- graduate students
- technology adoption
- intelligent tutoring systems
- control group
- post secondary
- postgraduate students
- semi structured interviews
- subjective norm