Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics.
Erwin D. López Z.Tsubasa MinematsuYuta TaniguchiFumiya OkuboAtsushi ShimadaPublished in: LAK (Data Challenge) (2022)
Keyphrases
- external representations
- writing skills
- note taking
- learning environment
- learning experience
- latent variable models
- student progress
- college students
- student learning
- learning styles
- learning process
- distance learning
- intelligent tutoring systems
- high school
- uncertain data
- reading comprehension
- high school students
- undergraduate students
- e learning
- higher education
- latent semantic
- middle school
- online course
- vocabulary acquisition
- latent variables
- learning outcomes
- helping students
- collaborative learning
- university level
- probabilistic model
- university students
- tutoring system
- oral reading
- open ended
- probabilistic topic models
- science learning
- problem based learning
- distance education
- learning objects
- bayesian networks