The effect of using a semi-automated image processing mobile application on undergrad students' perception in a complex science experiment.
Jakkrit JunratNiwat SrisawasdiKanda Runapongsa SaikaewPublished in: Int. J. Mob. Learn. Organisation (2019)
Keyphrases
- semi automated
- mobile applications
- image processing
- fully automated
- science learning
- student learning
- mobile technologies
- conceptual understanding
- science education
- collaborative learning
- mobile devices
- middle school
- middle school students
- helping students
- elementary school
- engineering education
- subject matter
- higher education
- learning experience
- learning activities
- learning process
- learning outcomes
- context aware
- machine intelligence
- learning environment
- artificial intelligence
- m learning
- computer science
- electrical engineering
- mobile phone
- scientific inquiry
- learning sciences
- college students
- user experience
- elementary school students
- science curriculum
- primary school
- mobile services
- problem based learning
- distance learning
- expert systems
- e learning