Use neural networks to recognize students' handwritten letters and incorrect symbols.
Jiajun ZhuZichuan YangBinjie HongJiacheng SongJiwei WangTianhao ChenShuilan YangZixun LanFei MaPublished in: CoRR (2023)
Keyphrases
- neural network
- learning environment
- higher education
- student learning
- pattern recognition
- high school students
- collaborative learning
- undergraduate students
- college students
- intelligent tutoring systems
- learning experience
- learning process
- computer science students
- e learning
- distance learning
- mathematical expressions
- high school
- distance education
- students learning
- university students
- learning outcomes
- fuzzy logic
- learning activities
- genetic algorithm
- handwriting recognition
- back propagation
- learning tools
- learning styles
- tutoring system
- computer supported collaborative learning
- cooperative learning
- numeral strings
- middle school
- educational environment
- conceptual understanding
- middle school students
- university level
- elementary school
- computer programming
- teaching materials
- problem based learning
- hong kong
- control group
- online course
- character recognition
- neural network model
- mobile learning
- learning strategies