Staying Ahead of the Curve: Selecting Students for Newly Arising Tasks

Staying Ahead of the Curve: Selecting Students for Newly Arising Tasks

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:AIS (3. : 2021 : Online) Adaptive instructional systems ; Part 2: Adaptation strategies and methods
1. Verfasser: Toubman, Armon (VerfasserIn)
Weitere Verfasser: Oldenbeek, Maxim van (VerfasserIn), Claessen, Olivier (VerfasserIn)
Pages:2
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Early Prediction of At-Risk Students in a Virtual Leaming Environment Using Deep Learning Techniques 2021 Raj, Nisha S.
Modelling and Quantifying Learner Motivation for Adaptive Systems: Current Insight and Future Perspectives 2021 Orji, Fidelia A.
An Experiential Competency Application Framework 2021 Robson, Elliot
Dynamic Cognitive Modeling for Adaptive Serious Games 2021 Streicher, Alexander
Enhancing Personalization by Integrating Top-Down and Bottom-Up Approaches to Learner Modeling 2021 Zapata-Rivera, Diego
Predicting Literacy Skills via Stealth Assessment in a Simple Vocabulary Game 2021 Fang, Ying
Helping Instructor Pilots Detect and Respond to Engagement Lapses in Simulations 2021 Bell, Benjamin
Skill Mastery Measurement and Prediction to Adapt Instruction Strategies 2021 Ganapathy, Priya
Measuring Flow, Immersion and Arousal/Valence for Application in Adaptive Leaming Systems 2021 Kannegieser, Ehm
Competency-Based Experiential-Expertise and Future Adaptive Learning Systems 2021 Owens, Kevin P.
Individual Differences in the Relationship Between Emotion and Performance in Command-and-Control Environments 2021 Schmitz-Hübsch, Alina
Designing a Learner Model for Use in Training Analysts in a Social Media Practice Environment 2021 Whitaker, Elizabeth T.
Staying Ahead of the Curve: Selecting Students for Newly Arising Tasks 2021 Toubman, Armon
Measuring and Integrating Facial Expressions and Head Pose as Indicators of Engagement and Affect in Tutoring Systems 2021 Yu, Hao
Dynamic Analytics for the Detection of Quality and Alignment Issues in an Online Hybrid Adaptive Instructional and Assessment System 2021 Choi, Jinah
Using Principled Assessment Design and Item Difficulty Modeling to Connect Hybrid Adaptive Instructional and Assessment Systems: Proof of Concept 2021 Schneider, M. Christina
Measuring Cognitive Load for Adaptive Instructional Systems by Using a Pressure Sensitive Computer Mouse 2021 Witte, Thomas E. F.
Alle Artikel auflisten