Microlearning in diverse contexts: A bibliometric analysis
R Sankaranarayanan, J Leung, V Abramenka-Lachheb… - TechTrends, 2023 - Springer
In recent years, publications on microlearning have substantially increased, as this topic has
received extensive attention from scholars in the instructional design and technology …
received extensive attention from scholars in the instructional design and technology …
A multi-constraint learning path recommendation algorithm based on knowledge map
It is difficult for e-learners to make decisions on how to learn when they are facing with a
large amount of learning resources, especially when they have to balance available limited …
large amount of learning resources, especially when they have to balance available limited …
Meta-heuristic algorithms for learning path recommender at MOOC
Online learning platforms, such as Coursera, Edx, Udemy, etc., offer thousands of courses
with different content. These courses are often of discrete content. It leads the learner not to …
with different content. These courses are often of discrete content. It leads the learner not to …
Providing recommendations for communities of learners in MOOCs ecosystems
Abstract Massive Open Online Courses (MOOCs) have been widely disseminated due to the
arrival of Web 2.0. However, the growth of MOOCs brings some difficulties for students in …
arrival of Web 2.0. However, the growth of MOOCs brings some difficulties for students in …
Use of soft computing techniques for recommender systems: an overview
Recommender systems (RSs) for the web are used to generate recommendations for a set
of items that might be of interest to the user. RSs play an increasingly important role for a …
of items that might be of interest to the user. RSs play an increasingly important role for a …
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning
The soaring development of Web technologies and mobile devices has blurred time-space
boundaries of people's daily activities. Such development together with the life-long learning …
boundaries of people's daily activities. Such development together with the life-long learning …
Learning path combination recommendation based on the learning networks
H Liu, X Li - Soft Computing, 2020 - Springer
Discovering useful hidden learning behavior pattern from learning data for online learning
platform is valuable in education technology. Studies on learning path recommendation to …
platform is valuable in education technology. Studies on learning path recommendation to …
Towards the readiness of learning analytics data for micro learning
With the development of data mining and machine learning techniques, data-driven based
technology-enhanced learning (TEL) has drawn wider attention. Researchers aim to use …
technology-enhanced learning (TEL) has drawn wider attention. Researchers aim to use …
An innovative approach to prevent learners' dropout from moocs using optimal personalized learning paths: an online learning case study
EM Smaili, C Khoudda, S Sraidi, S Azzouzi… - Statistics, Optimization …, 2022 - iapress.org
Due to the rapid evolution of information technology, distance education has undergone a
sustained expansion. Within the scope of open distant learning, MOOCs (Massive Open …
sustained expansion. Within the scope of open distant learning, MOOCs (Massive Open …
Deep-cross-attention recommendation model for knowledge sharing micro learning service
Aims to provide flexible, effective and personalized online learning service, micro learning
has gained wide attention in recent years as more people turn to use fragment time to grasp …
has gained wide attention in recent years as more people turn to use fragment time to grasp …