scholarly journals Preface to the Special Issue on Creating and Improving Adaptive Learning: Smart Authoring Tools and Processes

Author(s):  
Andrew M. Olney ◽  
Stephen B. Gilbert ◽  
Kelly Rivers
2016 ◽  
Vol 31 (1) ◽  
pp. 1-2
Author(s):  
Peter Vrancx ◽  
Enda Howley ◽  
Matt Knudson

2014 ◽  
Vol 26 (1) ◽  
pp. 5-6
Author(s):  
Sam Devlin ◽  
Daniel Hennes ◽  
Enda Howley

2017 ◽  
Vol 119 (3) ◽  
pp. 1-4
Author(s):  
Gary Natriello ◽  
Hui Soo Chae

The demand for more effective educational systems coupled with advances in computing and communication technologies have fueled the growth of a broad range of adaptive learning technologies. The resulting applications, tools, and ecosystems, which customize learners’ experiences based on pre-existing user data and/or continuous user inputs, claim to support the acquisition of content knowledge and facilitate the mastery of skills through personalized learning experiences, both formal and informal. These adaptive systems are widespread, although sometimes unrecognized even by those using them.


2016 ◽  
Vol 28 (5) ◽  
pp. 615-615
Author(s):  
Shoichiro Fujisawa ◽  
◽  
Toru Yamamoto ◽  
Ikuro Mizumoto ◽  
Tomohiro Henmi

This special issue, which focuses on adaptive/learning control, includes 18 contributions classified as follows:<ul> <li>  • Closed-loop identification and controller redesign</li> <li>  • Adaptive output feedback control</li> <li>  • Data-driven control</li> <li>  • Multirate control</li> <li>  • Computational intelligence-based approaches</li> <li>  • Applications centering on electric motors, engine systems, hydraulic excavators, rotary cranes, etc.</li></ul>In addition, one review paper covers performance-driven control. The theoretical study of adaptive/learning control has few actual applied examples in the form of real systems but is flourishing. Applied studies are expected to increasingly progress and adaptive/learning control theory holds big changes for industrial fields.


2014 ◽  
Vol 26 (2) ◽  
pp. 101-102
Author(s):  
Sam Devlin ◽  
Daniel Hennes ◽  
Enda Howley

2021 ◽  
Vol 37 (2) ◽  
pp. 1-6
Author(s):  
Simon K. S. Cheung ◽  
Fu Lee Wang ◽  
Lam For Kwok

With an emphasis on learning flexibility, effectiveness, efficiency, engagement, adaptivity and reflectiveness, smart learning embraces a variety of concepts, including but not limited to personalised learning, adaptive learning, intelligent tutoring, open online learning, blended learning, and collaborative learning. As new concepts continue to evolve, the pursuit of smart learning is ongoing, mainly in areas pertaining to the design and implementation frameworks, pedagogical theories and practices, learners’ behaviours and learning pattern, learning and assessment strategies and evaluation of learning performance and perception. This editorial gives an overview of smart learning and provides the context on the latest development of smart learning in which the articles in this special issue are located.


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