Titlebook: Artificial Intelligence Supported Educational Technologies; Niels Pinkwart,Sannyuya Liu Book 2020 Springer Nature Switzerland AG 2020 Arti

nutrition

Augmented: Academic Performance Prediction Based on Digital Campuser currently it remains a challenge to (i) combine these data into a holistic view of a student; (ii) use this to predict academic performance accurately; (iii) and take advantage of the prediction to drive behavioral change and support student positive engagement with the university. To initially a

浮夸

Joint Embedding Learning of Educational Knowledge Graphscation. And there is a steady trend of learning embedding representations of knowledge graphs to facilitate knowledge graph construction and downstream tasks. In general, knowledge graph embedding techniques aim to learn vectorized representations which preserve the structural information of the gra

使纠缠

Grating

MUTED

Change Management for Learning Analyticsteaching, organisational efficiency, and decision-making. The implementation of learning analytics at higher education institutions may have broad implications for the organisation and its stakeholders (e.g. students, academic staff, administrators) including changes in learning culture and educatio

音乐学者

2662-2122 from computer science and learning science.Provides an broad.This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer scie

异端

Book 2020example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.. .

ALT

Antecedents of the Western TraditionThis offers the possibility for a direct feedback loop to reflect the learner’s status, progress, etc. but also raises novel challenges that need to be addressed, namely, when to intervene, how much feedback needs to be provided, and how to represent the required information in order to reduce the distraction and thus to improve learning success.

Diastole

concise

Book 2020han, China, March, 2019. The contributors are distinguished researchers from computer science and learning science.. .The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems,(3) Algorithms, and (4) Insights gained from empirical studies. For