Science map** the knowledge base on microlearning: Using Scopus database between 2002 and 2021

HH Pham, NTN Nguyen, L Dinh Hai… - Journal of Research in …, 2024 - emerald.com
Purpose With the advancement of technology, microlearning has emerged as a promising
method to improve the efficacy of teaching and learning. This study aims to investigate the …

[HTML][HTML] A systematic review of the soft computing methods sha** the future of the metaverse

M Tavana, S Sorooshian - Applied Soft Computing, 2024 - Elsevier
The metaverse is an emerging technology with the potential to revolutionize our interactions
with digital environments. Soft computing presents exciting opportunities in sha** this …

[PDF][PDF] Investigating the employees 'perspectives and experiences of microlearning content design for online training

Y Shabadurai, FF Chua, TY Lim - International Journal of Information and …, 2022 - ijiet.org
Online training is expected to increase retention of information and be less time-consuming.
This leads to a motivation to identify a more effective content delivery for online training …

FitVid: Responsive and flexible video content adaptation

J Kim, Y Choi, M Kahng, J Kim - … of the 2022 CHI Conference on Human …, 2022 - dl.acm.org
Mobile video-based learning attracts many learners with its mobility and ease of access.
However, most lectures are designed for desktops. Our formative study reveals mobile …

Map** microlearning development and trends across diverse contexts: a bibliometric analysis (2007–2023)

WK Monib, A Qazi, RA Apong - Interactive Learning Environments, 2024 - Taylor & Francis
Microlearning, an emerging educational approach, has gained increasing attention across
various fields in recent years, leading to extensive scientific literature. However, it remains …

The use of accessibility metadata in e-learning environments: a systematic literature review

P Ingavélez-Guerra, S Otón-Tortosa… - Universal Access in the …, 2023 - Springer
E-learning environments constitute an essential element in education, as they help students
to ensure their pass their courses and graduate on time. Although guidelines, techniques …

Attention-based knowledge tracing with heterogeneous information network embedding

N Zhang, Y Du, K Deng, L Li, J Shen, G Sun - … Science, Engineering and …, 2020 - Springer
Abstract Knowledge tracing is a key area of research contributing to personalized education.
In recent times, deep knowledge tracing has achieved great success. However, the sparsity …

Applying machine translation and language modelling strategies for the recommendation task of micro learning service

J Lin, G Sun, G Beydoun, L Li - Educational Technology & Society, 2022 - JSTOR
A newly emerged micro learning service offers a flexible formal, informal, or non-formal
online learning opportunity to worldwide users with different backgrounds in real-time. With …

Deep-cross-attention recommendation model for knowledge sharing micro learning service

J Lin, G Sun, J Shen, D Pritchard, T Cui, D Xu… - Artificial Intelligence in …, 2020 - Springer
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 …

Seca: A feedback rules model in a ubiquitous microlearning context

MS Tabares, P Vallejo, A Montoya, J Sanchez… - … Conference on Data …, 2021 - dl.acm.org
Understanding learner behavior is the key to the success of any learning process. The more
we know about learners, the more likely we are to personalize learning experiences and …