Incorporating Item Response Theory into Knowledge Tracing

Incorporating Item Response Theory into Knowledge Tracing

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Artificial Intelligence in Education (22. : 2021 : Online) Artificial intelligence in education ; Part 2
1. Verfasser: Converse, Geoffrey (VerfasserIn)
Weitere Verfasser: Pu, Shi (VerfasserIn), Oliveira, Suely (VerfasserIn)
Pages:2
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Artificial Intelligence Ethics Guidelines for K-12 Education: A Review of the Global Landscape 2021 Adams, Cathy
Integration of Automated Essay Scoring Models Using Item Response Theory 2021 Aomi, Itsuki
Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks 2021 Bautista, Peter
Early Prediction of Children’s Disengagement in a Tablet Tutor Using Visual Features 2021 Boote, Bikram
Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses 2021 Boateng, George
Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data 2021 Cloude, Elizabeth B.
Examining the Use of a Teacher Alerting Dashboard During Remote Learning 2021 Dickler, Rachel
Examining Learners’ Reflections over Time During Game-Based Learning 2021 Dever, Daryn A.
Interactive Teaching with Groups of Unknown Bayesian Learners 2021 Guerra, Carla
Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged Students in STEM 2021 Hlosta, Martin
Facilitating the Implementation of AI-Based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A Practical Design Thinking Approach 2021 Kähler, Marco
Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform 2021 Li, Chenglu
DanceTutor: An ITS for Coaching Novice Ballet Dancers Using Pose Recognition of Whole-Body Movements 2021 Maharaj-Pariagsingh, Lurlynn
Multi-armed Bandit Algorithms for Adaptive Learning: A Survey 2021 Mui, John
Exploring Dialogism Using Language Models 2021 Ruseti, Stefan
Exploring the Working and Effectiveness of Norm-Model Feedback in Conceptual Modelling – A Preliminary Report 2021 Spitz, Loek
Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science 2021 Tian, Xiaoyi
An Ensemble Approach for Question-Level Knowledge Tracing 2021 Zia, Aayesha
Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements 2021 Fancsali, Stephen E.
Designing and Testing Assessments and Scaffolds for Mathematics Practices in Science Inquiry 2021 Olsen, Joe
Alle Artikel auflisten