Big data: From beginning to future

I Yaqoob, IAT Hashem, A Gani, S Mokhtar… - International Journal of …, 2016 - Elsevier
Big data is a potential research area receiving considerable attention from academia and IT
communities. In the digital world, the amounts of data generated and stored have expanded …

Features, barriers, and influencing factors of mobile learning in higher education: A systematic review

S Sophonhiranrak - Heliyon, 2021 - cell.com
Mobile devices are not only a tool for communication, but also a powerful instrument for the
economy, mass communication, and learning. Because the use of mobile devices and the …

Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model

CM Chao - Frontiers in psychology, 2019 - frontiersin.org
This study developed and empirically tested a model to predict the factors affecting students'
behavioral intentions toward using mobile learning (m-learning). This study explored the …

[HTML][HTML] Augmented reality is eating the real-world! The substitution of physical products by holograms

PA Rauschnabel - International Journal of Information Management, 2021 - Elsevier
There is a general consensus that augmented reality (AR), once it becomes a mainstream
medium, can disrupt marketing and management in many ways. One frequently discussed …

Influencing factors in M-learning adoption in higher education

A Qashou - Education and information technologies, 2021 - Springer
The tremendous and rapid developments in the information and communications technology
sector as well as mobile devices have resulted in modern technologies, one of which is …

Assessing the role of age, education, gender and income on the digital divide: Evidence for the European Union

A Elena-Bucea, F Cruz-Jesus, T Oliveira… - Information Systems …, 2021 - Springer
This paper assesses the digital divide between and within the 28 member-states of the
European Union. The analysis comprised four socio-demographic contexts: age, education …

Technological and Pedagogical models

R Susanto, R Rachmadtullah, W Rachbini - Journal of Ethnic and Cultural …, 2020 - JSTOR
The era of the industrial revolution 4.0 emphasizes the importance of the digital literacy
elaboration that links the full technological and pedagogical capabilities to enhance learning …

Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran

A Chavoshi, H Hamidi - Telematics and Informatics, 2019 - Elsevier
The increasing usage of smartphones, the increasing acceptance of electronic learning (e-
learning), the improvement of the status of mobile networks and global internet as well as …

[HTML][HTML] Multimodal data as a means to understand the learning experience

MN Giannakos, K Sharma, IO Pappas… - International Journal of …, 2019 - Elsevier
Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …

Features and trends of personalised learning: A review of journal publications from 2001 to 2018

KC Li, BTM Wong - Personalized Learning, 2023 - taylorfrancis.com
This paper provides a comprehensive review of the features and trends of personalised
learning. The review covers a total of 203 journal articles collected from Scopus, which were …