Personalized Learning Strategies in Educational Technologies
Summary
Personalized learning strategies utilise data-driven algorithms, adaptive interfaces and learner profiling to tailor educational content, pacing and feedback to individual needs. These approaches draw on advances in machine learning, user modelling and learning analytics to create dynamic environments that respond to both cognitive and affective learner states. Core methods include rule-based adaptation, collaborative filtering of instructional resources and real-time analysis of interaction data to select or generate tailored content. By addressing knowledge gaps, sustaining motivation and accommodating diverse goals, personalised strategies enhance both remedial support and advanced skill acquisition. Practical applications range from intelligent tutoring systems and virtual laboratories to mobile platforms, all of which contribute to more inclusive and efficient pathways for lifelong learning and academic achievement.
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Personalized Learning Strategies in Educational Technologies publication trend
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Technical terms
Personalized learning path: A sequence of tailored learning activities selected or generated to match an individual’s knowledge needs and progression.
Dynamic assessment: An interactive evaluation approach that adapts tasks and feedback in real time based on learner performance.
Concept co-occurrence weighting: An algorithmic technique to assign importance scores to pairs of concepts according to their joint appearance in educational materials.
Affective tutoring system: A computer-based instructional system that senses and responds to learners’ emotional states to regulate motivation and engagement.
References
- Concept–Effect Relationship Weighting Based on Frequency of Concept’s Co-Occurrence for Developing Personalized Remedial Learning Path. IEEE Access (2024).
- Implementation of Web-Based Dynamic Assessments as Sustainable Educational Technique for Enhancing Reading Strategies in English Class during the COVID-19 Pandemic. Sustainability (2021).
- An architectural design and evaluation of an affective tutoring system for novice programmers. International Journal of Educational Technology in Higher Education (2018).
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