Mining Student Information System Records to Predict Students' Academic Performance.
Amjad Abu SaaMostafa Al-EmranKhaled ShaalanPublished in: AMLTA (2019)
Keyphrases
- student learning
- information systems
- high school students
- computer engineering
- faculty members
- learning environment
- undergraduate students
- online course
- university courses
- university level
- intelligent tutoring systems
- undergraduate engineering
- learning styles
- tutoring system
- helping students
- student motivation
- computer science students
- programming course
- post secondary
- classroom setting
- educational environment
- learning process
- students learning
- learning gains
- learning experience
- middle school students
- student engagement
- online discussion forums
- peer assessment
- engineering students
- sixth grade
- computer programming
- higher education
- conceptual understanding
- word problems
- semester long
- education programs
- teaching materials
- classroom environment
- introductory programming
- teaching methods
- engineering courses
- science education
- high school
- reflective learning
- semi structured interviews
- e learning
- distance learning
- statistically significant
- online collaborative
- distance education
- student knowledge
- special education
- discussion forums
- online learning
- open ended questions
- collaborative learning
- higher education institutions
- computer science education
- student centered
- information literacy
- online environment
- learning activities
- state university
- grade students
- student responses
- attitudes toward
- student participation
- student progress
- learning outcomes
- item bank
- academic institutions
- concept maps
- elementary school students
- graduate students
- cooperative learning
- college students
- educational settings
- instructional strategies
- college level
- multiple choice
- student teachers