Data-driven Student Advisory and Potential Direct Discrimination: A Literature Review on Machine Learning for Predicting Students' Academic Success.
Daniel SchoemerSven LaumerKarl WilbersTobias WolbringJonas WeigertEdgar TreischlPublished in: AMCIS (2021)
Keyphrases
- literature review
- higher education institutions
- data driven
- teaching methods
- machine learning
- student learning
- student success
- high school students
- undergraduate students
- computer engineering
- online course
- university courses
- learning environment
- intelligent tutoring systems
- faculty members
- undergraduate engineering
- learning styles
- university level
- case study
- programming course
- helping students
- computer science students
- computer science education
- higher education
- tutoring system
- learning experience
- post secondary
- student motivation
- student engagement
- learning gains
- conceptual understanding
- current issues
- student participation
- educational environment
- peer assessment
- online learning
- learning process
- science education
- computer science
- e learning
- student responses
- collaborative learning
- affective states
- special education
- engineering courses
- high school
- online discussion forums
- real world
- semi structured interviews
- education programs
- information literacy
- middle school
- teacher education
- mobile learning
- distance learning