Big data in education: a state of the art, limitations, and future research directions
MI Baig, L Shuib, E Yadegaridehkordi - International Journal of …, 2020 - Springer
Big data is an essential aspect of innovation which has recently gained major attention from
both academics and practitioners. Considering the importance of the education sector, the …
both academics and practitioners. Considering the importance of the education sector, the …
Science mapping the knowledge base on microlearning: using Scopus database between 2002 and 2021
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 …
method to improve the efficacy of teaching and learning. This study aims to investigate the …
Standing on the shoulders of giants: Online formative assessments as the foundation for predictive learning analytics models
As universities around the world have begun to use learning management systems (LMSs),
more learning data have become available to gain deeper insights into students' learning …
more learning data have become available to gain deeper insights into students' learning …
Exploring students' learning support use in digital game-based math learning: A mixed-methods approach using machine learning and multi-cases study
Digital game-based math learning environments (math DGBLE) are promising platforms that
provide students with opportunities to master conceptual understanding and cultivate …
provide students with opportunities to master conceptual understanding and cultivate …
Utilizing artificial intelligence to support analyzing self-regulated learning: A preliminary mixed-methods evaluation from a human-centered perspective
CY Wang, JJH Lin - Computers in Human Behavior, 2023 - Elsevier
Analyzing the self-regulatory process of complex science learning is a serious challenge as
it takes considerable time to train coders and do real-time assessment of a learner's …
it takes considerable time to train coders and do real-time assessment of a learner's …
[HTML][HTML] Service failures in times of crisis: An analysis of eWOM emotionality
The COVID-19 pandemic continues to disrupt consumer experiences as well as service
operations. Despite the magnitude of this exogenous shock, little is known about the …
operations. Despite the magnitude of this exogenous shock, little is known about the …
Microlearning in the digital age
JR Corbeil, BH Khan, ME Corbeil - Taylor and Francis. doi, 2021 - api.taylorfrancis.com
Microlearning is all the rage, but what is it exactly? What does a successful microlearning
object look like? And, how sound are the pedagogical practices surrounding microlearning …
object look like? And, how sound are the pedagogical practices surrounding microlearning …
An application of machine learning technique in forecasting crop disease
G Fenu, FM Malloci - Proceedings of the 3rd International Conference on …, 2019 - dl.acm.org
In the recent years, Big Data Analytics and Machine Learning techniques are playing an
increasingly key role in the agriculture sector in order to tackle the increasing challenges …
increasingly key role in the agriculture sector in order to tackle the increasing challenges …
'Cognitive facility management': Definition, system architecture, and example scenario
Prevailing facility management (FM) discourses have recognized the importance of efficient
facilities to improve the quality of life and the productivity of business. Advanced …
facilities to improve the quality of life and the productivity of business. Advanced …
The effect of algorithmic bias on recommender systems for massive open online courses
Most recommender systems are evaluated on how they accurately predict user ratings.
However, individuals use them for more than an anticipation of their preferences. The …
However, individuals use them for more than an anticipation of their preferences. The …