Essays about: "Intelligent tutoring systems"

Found 3 essays containing the words Intelligent tutoring systems.

  1. 1. The carbon cycle and systems thinking : Conceptualizing a visualization-based learning system for teaching the carbon cycle that supports systems thinking

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Mina Mani Kashani; [2021]
    Keywords : Carbon cycle; Systems thinking; Adaptive learning systems; Environmental literacy; Intelligent tutoring systems;

    Abstract : Today, climate change, has become one of the greatest societal challenges of our time. This challenge requires an accurate understanding of climate change for making informed decisions regarding the environmental issues. The carbon cycle is one of the earth’s complicated cycles that has a critical role in the planet’s climate. READ MORE

  2. 2. Investigation of Step Granularity for Adaptive Learning Strategies

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jade Cock; [2020]
    Keywords : ;

    Abstract : Intelligent tutoring systems (ITS) are softwares attempting to emulate human tutors. They do so by offering sequences of exercises for the students to train their newly-learnt skills, as well as to evaluate their competences. In order to estimate the knowledge mastery of each of their students, they make use of a student model. READ MORE

  3. 3. Adaptive Learning

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Per Grundtman; [2017]
    Keywords : adaptive learning; machine learning; e-learning; biosyncing; biometric sensors; Empatica E4; Intelligent Tutoring Systems; WEKA;

    Abstract : The purpose of this project is to develop a novel proof-of-concept system in attempt to measure affective states during learning-tasks and investigate whether machine learning models trained with this data has the potential to enhance the learning experience for an individual. By considering biometric signals from a user during a learning session, the affective states anxiety, engagement and boredom will be classified using different signal transformation methods and finally using machine-learning models from the Weka Java API. READ MORE