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Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part I
Using Motion Sensors to Understand Collaborative Interactions in Digital Fabrication Labs
other
Author(s):
Edwin Chng
,
Mohamed Raouf Seyam
,
William Yao
,
Bertrand Schneider
Publication date
(Online):
June 30 2020
Publisher:
Springer International Publishing
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Digitizing Fabrication
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Situating learning in communities of practice.
Jean Lave
(1991)
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Multimodal Learning Analytics and Education Data Mining: Using Computational Technologies to Measure Complex Learning Tasks
Paulo Blikstein
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Marcelo Worsley
(2016)
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Learning in the Making: A Comparative Case Study of Three Makerspaces
Lisa Brahms
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Lynette Jacobs-Priebe
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Trevor Owens
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(2014)
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Book Chapter
Publication date (Print):
2020
Publication date (Online):
June 30 2020
Pages
: 118-128
DOI:
10.1007/978-3-030-52237-7_10
SO-VID:
f81331bb-89f3-4a4f-b324-b5ae90b66dd9
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Book chapters
pp. 3
Making Sense of Student Success and Risk Through Unsupervised Machine Learning and Interactive Storytelling
pp. 16
Strategies for Deploying Unreliable AI Graders in High-Transparency High-Stakes Exams
pp. 29
AI Enabled Tutor for Accessible Training
pp. 43
Introducing a Framework to Assess Newly Created Questions with Natural Language Processing
pp. 55
Detecting Off-Task Behavior from Student Dialogue in Game-Based Collaborative Learning
pp. 67
Automated Analysis of Middle School Students’ Written Reflections During Game-Based Learning
pp. 79
Can Ontologies Support the Gamification of Scripted Collaborative Learning Sessions?
pp. 92
Predicting Gaps in Usage in a Phone-Based Literacy Intervention System
pp. 106
MACER: A Modular Framework for Accelerated Compilation Error Repair
pp. 118
Using Motion Sensors to Understand Collaborative Interactions in Digital Fabrication Labs
pp. 129
Student Dropout Prediction
pp. 141
Real-Time Multimodal Feedback with the CPR Tutor
pp. 153
Impact of Methodological Choices on the Evaluation of Student Models
pp. 165
Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models
pp. 177
Fooling Automatic Short Answer Grading Systems
pp. 191
Using Neural Tensor Networks for Open Ended Short Answer Assessment
pp. 204
The Sound of Inattention: Predicting Mind Wandering with Automatically Derived Features of Instructor Speech
pp. 216
To Tailor or Not to Tailor Gamification? An Analysis of the Impact of Tailored Game Elements on Learners’ Behaviours and Motivation
pp. 228
Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion
pp. 240
A Conceptual Framework for Human–AI Hybrid Adaptivity in Education
pp. 255
Exploring How Gender and Enjoyment Impact Learning in a Digital Learning Game
pp. 269
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms
pp. 282
A Data-Driven Student Model to Provide Adaptive Support During Video Watching Across MOOCs
pp. 296
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery
pp. 309
Use of Adaptive Feedback in an App for English Language Spontaneous Speech
pp. 321
Impact of Conversational Formality on the Quality and Formality of Written Summaries
pp. 333
LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses
pp. 346
SoundHunters: Increasing Learner Phonological Awareness in Plains Cree
pp. 360
Moodoo: Indoor Positioning Analytics for Characterising Classroom Teaching
pp. 374
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data
pp. 386
Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning
pp. 398
Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations
pp. 411
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments
pp. 423
Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment
pp. 437
Affective Sequences and Student Actions Within Reasoning Mind
pp. 448
Helping Teachers Help Their Students: A Human-AI Hybrid Approach
pp. 460
Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software
pp. 472
Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies
pp. 486
Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards
pp. 500
Using Thinkalouds to Understand Rule Learning and Cognitive Control Mechanisms Within an Intelligent Tutoring System
pp. 512
Remember the Facts? Investigating Answer-Aware Neural Question Generation for Text Comprehension
pp. 524
Raising Teachers Empowerment in Gamification Design of Adaptive Learning Systems: A Qualitative Research
pp. 537
Far from Success – Far from Feedback Acceptance? The Influence of Game Performance on Young Students’ Willingness to Accept Critical Constructive Feedback During Play
pp. 549
Robust Neural Automated Essay Scoring Using Item Response Theory
pp. 562
Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features
pp. 574
Early Detection of Wheel-Spinning in ASSISTments
pp. 586
Investigating Differential Error Types Between Human and Simulated Learners
pp. 598
Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment
pp. 610
Exploring Automated Question Answering Methods for Teaching Assistance
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