The ‘learning-contexts’-aware adaptive m-learning generation
Adaptive Learning: A Tale of Two Contexts
... 48 D ISCUSSION : A DAPTIVE L EARNING —I T ’ S A BOUT T IME In our increasingly diverse society, adaptive learning increases student flexibility and the opportunity for achieving college success. ...
38
Context aware and adaptive learning schedule for mobile learning
... Mobile learning has become widespread and students nowadays are able to learn anywhere and at any time, enabled by mobile technologies and wireless internet ...mobile learning has become increasingly ...
9
Learning with Contexts
... VISUAL LEARNING Recently, an increasing number of researchers in computer vision community have been aware that the Internet is a good resource for various visual learning ...visual learning ...
132
Adaptive Approaches to Context Aware Mobile Learning Applications
... mobile learning systems approach in implementing context awareness and ...mobile learning environment including learner and his behavior in dynamically varying contextual elements and representing ...
13
Hierarchical Reinforcement Learning for Adaptive Text Generation
... following learning param- eters: the step-size parameter α was initiated with 1 and then reduced over time by α = 1+t 1 , t being the time ...models M 0 1 and M 0 2 - M 7 2 ...
9
Disability-aware adaptive and personalised learning for students with multiple disabilities
... and Learning Technology Introduction Although a good number of students go through educational institutions with relative ease and enjoy the learning process, this may not be the case for some students who ...
28
A self regulated learning approach : a mobile context aware and adaptive learning schedule (mCALS) tool
... • Would the students mind the tool knowing where they are? C. Our Methodology for evaluating mCALS Our evaluation methods are divided into two phases – an interview research activity and a system prototype evaluation. We ...
7
A possible future for next generation adaptive learning systems
... current generation of adaptive systems, including Intelligent Tutoring Systems, suffer from two major ...of learning, namely that learners should be able to control their own learning and be ...
24
Domain Adaptive Dialog Generation via Meta Learning
... In the following part, we describe the imple- mentation details of the MAML algorithm and the sequicity model separately. As illustrated in Algo- rithm 1, sequicity model is used to combine nat- ural language ...
11
Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning
... the learning styles of the learners according to ...the learning styles comprises IIS log files and database entries where important parameters of learning styles are ...of learning objects ...
8
Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning
... the learning styles of the learners according to ...the learning styles comprises IIS log files and database entries where important parameters of learning styles are ...of learning objects ...
8
An adaptive context aware mobile learning framework based on the usability perspective
... essential learning contexts for the recommendation of learning materials in a mobile learning environment, and c) the types of learning materials which are appropriate for learners in ...
12
Context-aware adaptive and personalized mobile learning delivery supported by UoLmP
... the learning process ( Das et ...a learning activity’’ ( Luckin, 2010 ...mobile learning systems and a context model has been considered, which can be used in mobile learning systems for ...
15
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
... reinforcement learning (RL) approach for keyphrase generation, with an adaptive reward function that encourages a model to generate both sufficient and accu- rate ...
12
Designing context-aware adaptive units of learning based on IMS-LD standard
... determine what learning activities, resources or services will be presented to the student. To adequate the conditions in the IMS-LD, it was necessary to label resources available in the LMS using metadata. We use ...
6
Adaptive Scheduling on Power-Aware Managed Data-Centers using Machine Learning
... Index Terms—Data centers, Energy, Heuristics, Machine Learning, Scheduling, SLA I. I NTRODUCTION Nowadays the concept of Cloud has become one dom- inating paradigm in the externalization of information and IT ...
8
A context aware and adaptive learning schedule framework for supporting learners' daily routines
... A learning context describes the current situation of a learner related to a learning activity, and continually changes in a mobile learning ...mobile learning has become an essential part ...
7
Safety-aware apprenticeship learning
... that being safe can sometimes conflicts with having high performance, finer control in leverage between different objects would be beneficial. More specifically, when solving the multi-objective optimization problem, ...
53
Adaptive learning environments and e‑Learning standards
... to learning objects are mirrored in concepts such as content ...of learning material, often called content items, learning objects or training ...The Learning Object Metadata specification, in ...
14
CAMeL: A Self-Adaptive Framework for Enriching Context-Aware Middlewares with Machine Learning Capabilities
... 9. Conclusion In this paper, we proposed a framework able to enrich general purpose context-aware middlewares with machine learning capabilities. It is capable of collecting data from a number of different ...
16