PreDefense: Defending Underserved AI Students and Researchers from Predatory Conferences.
Thomas Y. ChenPublished in: AIDBEI (2021)
Keyphrases
- computer science
- graduate students
- computer scientists
- artificial intelligence
- learning environment
- student learning
- learning experience
- distance learning
- college students
- undergraduate students
- learning sciences
- young researchers
- formal logic
- practical experiences
- higher education
- learning activities
- learning outcomes
- national science foundation
- expert systems
- data collection and analysis
- ai community
- postgraduate students
- areas of artificial intelligence
- undergraduate and graduate students
- instructional systems
- learning styles
- high school
- machine learning
- learning process
- researchers and practitioners
- areas of computer science
- computer programming
- computer science and engineering
- intelligent tutoring systems
- scientific knowledge
- data mining
- e learning
- theoretical frameworks
- online learning environments
- university level
- related fields
- university students
- related topics
- blended learning
- tutoring system
- online course
- collaborative learning
- intelligent systems
- high school students
- ai researchers
- mobile learning
- distance education
- learning analytics
- innovative approaches
- problem based learning
- ddos attacks
- case based reasoning
- helping students
- control group
- digital government
- citation networks