Conceptualizing the emerging field of smart learning environments
By J. Spector. Smart Learning Environments, 2014
294 citations recorded by the source corpus.
Learning environments have changed dramatically in the last 50 years, in large part due to information and communications technologies. From the introduction of personal computing and the Internet, there has been a continuing explosion of innovations in support of learning and instruction. Much has been written about new learning approaches and instructional paradigms, but relatively little has been implemented on a large scale with any significant learning outcomes. What has tended to happen when a new learning technology is introduced is that it is tried out on a small-scale in a privileged context (e.g., highly experienced and motivated teachers, on-site researchers, etc.), and when results show promise, the technology is broadly disseminated and used to replace a previous activity or resource, often without adequate training and support. Given the power and potential of new and emerging technologies, it is time to conceptualize how learning environments can be made more effective, efficient and engaging (i.e., smarter) on a large and sustainable scale. This article attempts to provide a small step in that direction.
Subfields: Computer Science Applications, Developmental and Educational Psychology, Education
View Paper: https://www.semanticscholar.org/paper/b09b9b274026621ba12afbc3fa99f7e767947b27
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In Computer Science Applications
In Developmental and Educational Psychology
In Education
Citations in the corpus
- A systematic literature review of personalized learning terms (2020, methodology): “We started with the definition of personalized learning suggested by Spector (2014, 2018) and others that are discussed below, which requires a digital learning environment to be classified as a personalized learning environment to be adaptive to individual knowledge, experience and interests and…”