Abstract
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.
Highlights
INTRODUCTIONAn increasing amount of research in the educational scope focuses on technology that can be used to increase teaching-learning productivity and efficiency
Nowadays, an increasing amount of research in the educational scope focuses on technology that can be used to increase teaching-learning productivity and efficiency.In 2020, the COVID-19 pandemic severely impacted on educational systems worldwide, forcing a transition from face-to-face teaching to remote teaching-learning and elearning
This paper presents an application based on SALM (Smart Adaptive Learning Model) that results from research carried out within the scope of two international projects, Doctoral Program of Pedagogical Science in Latvia” (DocTDLL) (Implementation of Transformative Digital Learning in Doctoral Program of Pedagogical Science in Latvia), whose aim is the application of Transformative Digital Learning to Ph.D. study programs, and ASL (Adult self-learning: supporting learning autonomy in a technology-mediated environment), which is aimed at improving and extending the supply of highquality learning opportunities tailored to the needs of individual low-skilled or low-qualified adults
Summary
An increasing amount of research in the educational scope focuses on technology that can be used to increase teaching-learning productivity and efficiency. The massive and unprecedented use of technology in training activities as a result of the outbreak made the question of how to enhance personalized learning experiences in a digital environment more topical. Creating personalized learning paths and customizing digital learning can allow educators to reach very large audiences of learners, whilst reducing the cost of teaching-learning activities. This paper presents an application based on SALM (Smart Adaptive Learning Model) that results from research carried out within the scope of two international projects, DocTDLL (Implementation of Transformative Digital Learning in Doctoral Program of Pedagogical Science in Latvia), whose aim is the application of Transformative Digital Learning to Ph.D. study programs, and ASL (Adult self-learning: supporting learning autonomy in a technology-mediated environment), which is aimed at improving and extending the supply of highquality learning opportunities tailored to the needs of individual low-skilled or low-qualified adults
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