Affective Sequences and Student Actions Within Reasoning Mind

Affective Sequences and Student Actions Within Reasoning Mind

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Artificial Intelligence in Education (21. : 2020 : Online) Artificial intelligence in education ; Part 1
1. Verfasser: Ocumpaugh, Jaclyn (VerfasserIn)
Weitere Verfasser: Baker, Ryan S. (VerfasserIn), Karumbaiah, Shamya (VerfasserIn), Crossley, Scott A. (VerfasserIn), Labrum, Matthew (VerfasserIn)
Pages:1
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Can Ontologies Support the Gamification of Scripted Collaborative Learning Sessions? 2020 Challco, Geiser Chalco
Automated Analysis of Middle School Students’ Written Reflections During Game-Based Learning 2020 Carpenter, Dan
Student Dropout Prediction 2020 Bonifro, Francesca Del
Real-Time Multimodal Feedback with the CPR Tutor 2020 Mitri, Daniele Di
A Conceptual Framework for Human-AI Hybrid Adaptivity in Education 2020 Holstein, Kenneth
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms 2020 Huang, Gale Yan
Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations 2020 Moore, Steven
Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment 2020 Nawaz, Sadia
Helping Teachers Help Their Students: A Human-AI Hybrid Approach 2020 Paiva, Ranilson
Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards 2020 Shabaninejad, Shiva
Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features 2020 Varatharaj, Ashvini
Exploring Automated Question Answering Methods for Teaching Assistance 2020 Zylich, Brian
Introducing a Framework to Assess Newly Created Questions with Natural Language Processing 2020 Benedetto, Luca
Detecting Off-Task Behavior from Student Dialogue in Game-Based Collaborative Learning 2020 Carpenter, Dan
Predicting Gaps in Usage in a Phone-Based Literacy Intervention System 2020 Chatterjee, Rishabh
Using Motion Sensors to Understand Collaborative in Digital Fabrication Labs 2020 Chng, Edwin
Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models 2020 Emerson, Andrew
The Sound of Inattention: Predicting Mind Wandering with Automatically Derived Features of Instructor Speech 2020 Gliser, lan
Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion 2020 Henderson, Nathan
To Tailor or Not to Tailor Gamification? An Analysis of the Impact of Tailored Game Elements on Learners’ Behaviours and Motivation 2020 Hallifax, Stuart
Alle Artikel auflisten