Personalized Adaptive Learning: An Emerging Pedagogical Approach Enabled by a Smart Learning Environment

2019 ◽  
pp. 171-176 ◽  
Author(s):  
Hongchao Peng ◽  
Shanshan Ma ◽  
Jonathan Michael Spector
Keyword(s):  
Learning Environment ◽  
Adaptive Learning ◽  
Pedagogical Approach ◽  
Smart Learning Environment ◽  
Smart Learning

scholarly journals Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Hongchao Peng ◽  
Shanshan Ma ◽  
Jonathan Michael Spector
Keyword(s):  
Learning Environment ◽  
Adaptive Learning ◽  
Personal Development ◽  
Personalized Learning ◽  
Individual Performance ◽  
Individual Characteristics ◽  
Core Concept ◽  
Smart Learning Environment ◽  
Personal Learning ◽  
Smart Learning

Abstract Smart devices and intelligent technologies are enabling a smart learning environment to effectively promote the development of personalized learning and adaptive learning, in line with the trend of accelerating the integration of both. In this regard, we introduce a new teaching method enabled by a smart learning environment, which is a form of personalized adaptive learning. In order to clearly explain this approach, we have deeply analyzed its two pillars: personalized learning and adaptive learning. The core elements of personalized adaptive learning and its core concept are explored as well. The elements are four: individual characteristics, individual performance, personal development, and adaptive adjustment. And the core concept is referred to a technology-empowered effective pedagogy which can adaptively adjust teaching strategies timely based on real-time monitoring (enabled by smart technology) learners’ differences and changes in individual characteristics, individual performance, and personal development. On this basis, A framework of personalized adaptive learning is also constructed. Besides, we further explored a recommendation model of the personalized learning path. To be specific, personalized adaptive learning could be constructed from the following four aspects, namely, learner profiles, competency-based progression, personal learning, and flexible learning environments. Last, we explored a form of learning profiles model and a generative paths recommendation pattern of personal learning. This paper provides a clear understanding of personalized adaptive learning and serves as an endeavor to contribute to future studies and practices.

scholarly journals IMPROVING ADAPTIVE LEARNING IN A SMART LEARNING ENVIRONMENT

2021 ◽  
Vol 2 ◽  
pp. 93-99
Author(s):  
Gilberto Marzano ◽  
Anda Abuze ◽  
Yeliz Nur
Keyword(s):  
Learning Environment ◽  
Adaptive Learning ◽  
Low Cost ◽  
Educational Interventions ◽  
Digital Learning ◽  
Smart Learning Environment ◽  
Smart Learning ◽  
Unit Structure ◽  
Teaching Learning ◽  
Near Future

It has been broadly argued that, in the near future, the demand for skilled labor will increase whilst that for routine activities will decrease. In this regard, the need for making greater investments in education to re-skill workers and support continuous learning has been invoked as an essential requirement for preserving people’s employability.Digital technology is deemed increasingly necessary to sustain the educational endeavor, for the possibilities it offers to make more accessible and low-cost educational interventions. It allows for the creation of personalized learning paths and customized digital learning solutions, for courses to be available to a large attendance of learners, and for teaching-learning activities to be offered at significantly reduced cost.In this article, a learning unit structure designed to improve adaptive learning is proposed, and mechanisms for adaptive learning in a smart learning environment are discussed.The implemented teaching-learning solution is also illustrated. This is a preliminary application based on an approach that combines the teacher experience with learning analytics. 

Cabot Science Library

2019 ◽  
pp. 284-298
Author(s):  
Joanna Huang ◽  
Anu Vedantham
Keyword(s):  
Collaborative Learning ◽  
Learning Environment ◽  
Knowledge Creation ◽  
Learning Support ◽  
Digital Environment ◽  
Smart Learning Environment ◽  
Effective Learning ◽  
Smart Learning ◽  
Knowledge Creation And Sharing

Cabot Science Library has transformed from a traditional collections-based science library into an innovative hub for collaborative learning support. This chapter examines how a well-designed space and technology promotes effective learning and documents how Cabot functions as a smart learning environment. The interplay between a physical and digital environment at Cabot Science Library emphasizes learner mobility and engagement, collaboration, and discovery, enabling knowledge creation and sharing.

Demonstration of SCARLETT: A Smart Learning Environment to Support Learners Across Formal and Informal Contexts

2021 ◽  
pp. 404-408
Author(s):  
Sergio Serrano-Iglesias ◽  
Eduardo Gómez-Sánchez ◽  
Miguel L. Bote-Lorenzo ◽  
Juan I. Asensio-Pérez ◽  
Adolfo Ruiz-Calleja ◽  
...  
Keyword(s):  
Learning Environment ◽  
Smart Learning Environment ◽  
Smart Learning
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