Personalisation methods in e‐learning‐A literature review

V Mikić, M Ilić, L Kopanja… - Computer Applications in …, 2022 - Wiley Online Library
Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

Learning content design and learner adaptation for adaptive e-learning environment: a survey

KR Premlatha, TV Geetha - Artificial Intelligence Review, 2015 - Springer
This paper presents a survey about learning content designs and various adaptation levels,
in order to adapt the learners' necessities in e-learning environment. Normally, learners …

Dynamic educational recommender system based on improved recurrent neural networks using attention technique

H Ahmadian Yazdi… - Applied Artificial …, 2022 - Taylor & Francis
Most web-based educational systems contain some drawbacks, as compared to traditional
classrooms. Particularly, it becomes difficult for teachers to guide students to choose an …

Bug model based intelligent recommender system with exclusive curriculum sequencing for learner-centric tutoring

N Singh, NJ Ahuja - International Journal of Web-Based Learning …, 2019 - igi-global.com
Face to face human tutoring in classroom environments amply facilitates human tutor-
learner interactions wherein the tutor gets opportunity to exercise his cognitive intelligence …

A novel architecture for learner-centric curriculum sequencing in adaptive intelligent tutoring system

N Singh, NJ Ahuja, A Kumar - Journal of Cases on Information …, 2018 - igi-global.com
An ideal face-to-face tutor learner interaction aims to offer learning to the learner in a
manner that best suits an individual learner's learning level and learning style. This ability of …

Frequent pattern mining assisted energy consumption evolutionary optimization approach based on surrogate model at GCC compile time

Y Ni, X Du, P Ye, R **ao, Y Yuan, W Li - Swarm and Evolutionary …, 2019 - Elsevier
The evolutionary algorithms have been used to improve the energy consumption of
embedded software by searching the optimal compilation options of GCC compiler …

Sequence generation for learning: a transformation from past to future

F Rasheed, A Wahid - The International Journal of Information and …, 2019 - emerald.com
Purpose The purpose of this paper is to identify the different sequence generation
techniques for learning, which are applied to a broad category of personalized learning …

Motivating STEM students to use Web 2.0 tools for learning: A case study

G Durovic, MH Dlab… - … Conference on Information …, 2018 - ieeexplore.ieee.org
Students enrolled in engineering (STEM) education sometimes do not encounter organized
use of Web 2.0 tools in their courses. On the other hand, use of Web 2.0 tools has proved to …

Educational Data Mining: Prospects and Applications

M Debang, BU Hassan - Authorea Preprints, 2023 - techrxiv.org
Nowadays, educational institutions gather and save a vast amount of data, including records
of student enrollment, attendance, and exam outcomes. Such data can be mined to produce …

Educational Recommender Systems: An Overview and Guidelines for Further Research and Development

G Đurović, M Holenko Dlab… - Croatian Journal of …, 2018 - hrcak.srce.hr
Sažetak Educational Recommender Systems (ERS) are increasingly used as tools to help
students and teachers during the implementation of the learning process. The main …