Using Recommender Systems for Matching Students with Suitable Specialization: An Exploratory Study at King Abdulaziz University.
Khloud AlshaikhNaela BahurmuzOla TorabahSara Al-ZahraniZainab Al-ShingitiMaram MeccawyPublished in: Int. J. Emerg. Technol. Learn. (2021)
Keyphrases
- recommender systems
- e learning
- university level
- engineering students
- educational environment
- applied sciences
- open university
- computer science students
- computer science courses
- learning environment
- engineering education
- state university
- semester long
- computer engineering
- distance learning
- higher education
- teaching methods
- collaborative filtering
- student learning
- electrical engineering
- undergraduate and graduate
- library and information science
- distance education
- learning experience
- virtual learning community
- learning outcomes
- student groups
- computer science education
- collaborative learning
- learning activities
- faculty members
- graduate school
- high school students
- high school
- web based courses
- college level
- students studying
- european higher education
- programming course
- hong kong
- computer programming
- undergraduate students
- case study
- university of hong kong
- young researchers
- text messaging
- learning styles
- national science foundation
- college students
- matching algorithm
- intelligent tutoring systems
- postgraduate students
- user preferences
- computer science and engineering
- information literacy
- graduate students
- problem based learning
- science education
- learning process
- higher education institutions
- computer science
- school teachers
- remote laboratories
- educational institutions