Abstract
Thanks to the drastic proliferation of the Internet, e-learning has been recognized as an effective medium for various kinds of aggressive learners. However, due to the deficiencies of tutoring and guiding functionalities in current learning platforms, casual learners may deviate from the original course direction with frustration, when confronting inflexible course materials and fixed learning models. In the post-COVID-19 era, we believe that the most important functionality for a personal learning environment (PLE) to offer is a course recommendation process which adaptively provides a versatile course combination scheme for different learners from different perspectives. In this paper, we propose a flexible framework for users to customize their e-learning environment based on a two-stage Analytical Hierarchical Processing (AHP) structure for building adaptive course portfolios, which adaptively provides a versatile course scheme for different learners. The main objective of our framework is to transform a learner from a role of passively accepting the course content organized by instructors, into another role of proactively selecting the courses and contributing their knowledge to continuously improve the learning platform. We believe the approach proposed is a versatile way for supporting various challenges for the next generation of personal e-learning environment.
Highlights
The rapid growth of the Internet with cloud services has accelerated the speed of knowledge creation and delivery
Due to the deficiencies of tutoring and guiding functionalities in such learning platforms, casual learners may deviate from the original course direction, or even lose their ways on the road of advancement, when confronting inflexible learning models
We believe the most important key factor to make personal e-learning services successful is to offer a nimble mechanism for casual learners to establish their own customized learning platforms with auxiliary guidance, such that casual learners are free from deviation of the original course direction, or learning with frustration
Summary
The rapid growth of the Internet with cloud services has accelerated the speed of knowledge creation and delivery. As personal learning takes place in different contexts and situations, and is not provided by a single learning provider, PLE is not supposed to be only a software application. Instead, it was more of a new approach to using technologies for learning. In this paper, based on the concept of the Analytical Hierarchy Processing (AHP) model [2], we intend to propose a highly flexible framework for the generation of PLE e-learning environment, which will be interchangeably regarded as E-learning 2.0 in the following ( such a preliminary concept has been expounded by Downes (2005) [3] and Karrer (2006) [4]).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.