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Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).
Nepieciešamā programmatūra
Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)
Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)
Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.
Helping Instructor Pilots Detect and Respond to Engagement Lapses in Simulations.- Dynamic Analytics for the Detection of Quality and Alignment Issues in an Online Hybrid Adaptive Instructional and Assessmen System.- Predicting Literacy Skills via Stealth Assessment in a Simple Vocabulary Game.- Skill Mastery Measurement and Prediction to Adapt Instruction Strategies.- Measuring Flow, Immersion and Arousal/Valence for Application in Adaptive Learning .- Modelling and Quantifying Learner Motivation for Adaptive Systems: Current Insight and Future Perspectives.- Competency-Based Experiential-Expertise and Future Adaptive Learning Systems.- Early Prediction of At-risk Students in a Virtual Learning Environment using Deep Learning Techniques.- An Experiential Competency Application Framework.- Individual Differences in the Relationship between Emotion and Performance in Command-and-Control Environments.- Using Principled Assessment Design and Item Difficulty Modeling to Connect Hybrid Adaptive Instructional and Assessment Systems: Proof of Concept.- Dynamic Cognitive Modeling for Adaptive Serious Games.- Staying Ahead of the Curve: Selecting Students for Newly Arising Tasks.- Designing a Learner Model for use in training Analysts in a Social Media Practice Environment.- Measuring Cognitive Load for Adaptive Instructional Systems by Using a Pressure Sensitive Computer Mouse.- Measuring and Integrating Facial Expressions and Head Pose as Indicators of Engagement and Affect in Tutoring Systems.- Enhancing Personalization by Integrating Top-down and Bottom-up Approaches to Learner Modeling.