Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018
This systematic review of research on adaptive learning used a strategic search process to
synthesize research on adaptive learning based on publication trends, instructional context …
synthesize research on adaptive learning based on publication trends, instructional context …
Learning path personalization and recommendation methods: A survey of the state-of-the-art
A learning path is the implementation of a curriculum design. It consists of a set of learning
activities that help users achieve particular learning goals. Personalizing these paths …
activities that help users achieve particular learning goals. Personalizing these paths …
Adaptive learning path recommender approach using auxiliary learning objects
In e-learning, one of the main difficulties is recommending learning materials that users can
complete on time. It becomes more challenging when users cannot devote enough time to …
complete on time. It becomes more challenging when users cannot devote enough time to …
A deep learning-based course recommender system for sustainable development in education
Recently, the worldwide COVID-19 pandemic has led to an increasing demand for online
education platforms. However, it is challenging to correctly choose course content from …
education platforms. However, it is challenging to correctly choose course content from …
Personalisation in STE (A) M education: a review of literature from 2011 to 2020
This paper reports a comprehensive review of literature on personalised learning in STEM
and STEAM (or STE (A) M) education, which involves the disciplinary integration of Science …
and STEAM (or STE (A) M) education, which involves the disciplinary integration of Science …
Fully individualized curriculum with decaying knowledge, a new hard problem: Investigation and recommendations
The personalization of curriculum plays a pivotal role in supporting students in achieving
their unique learning goals. In recent years, researchers have dedicated efforts to address …
their unique learning goals. In recent years, researchers have dedicated efforts to address …
Research on personalized learning path planning model based on knowledge network
H Li, R Gong, Z Zhong, L **ng, X Li, H Li - Neural Computing and …, 2023 - Springer
Constructing a personalized learning path is a critical way to solve the problem of cognitive
difference and learning disorientation effectively. The construction process of the learning …
difference and learning disorientation effectively. The construction process of the learning …
A Comprehensive Study On Personalized Learning Recommendation In E-Learning System
Q Bin, MF Zuhairi, J Morcos - IEEE Access, 2024 - ieeexplore.ieee.org
The Internet and cloud computing technology have enabled learners to choose courses
based on their interests through e-learning systems. E-learning systems such as Massive …
based on their interests through e-learning systems. E-learning systems such as Massive …
[PDF][PDF] Development of a myers-briggs type indicator based personalised e-learning system
OS Adewale, OC Agbonifo, O Lauretta - International Journal of …, 2019 - academia.edu
The major challenge of the traditional learning system is space-time restriction and it is
teacher-centred. The emergence of Information Technology gave rise for e-learning systems …
teacher-centred. The emergence of Information Technology gave rise for e-learning systems …
A long term goal recommender approach for learning environments
AHN Rafsanjani - 2018 - search.proquest.com
Current recommenders concentrate on the immediate needs of users. This is insuffcient for
achieving long term goals. Therefore, we propose Long Term Recommender Systems …
achieving long term goals. Therefore, we propose Long Term Recommender Systems …