[HTML][HTML] A systematic review of the role of learning analytics in enhancing feedback practices in higher education
Learning analytics (LA) offers new opportunities to enrich feedback practices in higher
education, but little is understood about the ways different LA can enhance feedback …
education, but little is understood about the ways different LA can enhance feedback …
[HTML][HTML] A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics
The willingness to invest in Internet of Things (IoT) and Big Data Analytics (BDA) seems not
to depend on supply nor demand of technological innovations. The required sensing and …
to depend on supply nor demand of technological innovations. The required sensing and …
A comparison of machine learning techniques for customer churn prediction
We present a comparative study on the most popular machine learning methods applied to
the challenging problem of customer churning prediction in the telecommunications industry …
the challenging problem of customer churning prediction in the telecommunications industry …
[책][B] Qualitative analysis for planning & policy: Beyond the numbers
J Gaber - 2020 - taylorfrancis.com
The revised and updated second edition of Qualitative Analysis for Planning & Policy is a
roadmap to help planners access qualitative data and integrate it into their planning …
roadmap to help planners access qualitative data and integrate it into their planning …
Learning analytics for online game-based learning: A systematic literature review
Game-based learning researchers have been investigating various means to maximise
learning in educational games. One promising venue in recent years has been the use of …
learning in educational games. One promising venue in recent years has been the use of …
Synthesizing e‐government stage models–a meta‐synthesis based on meta‐ethnography approach
K Siau, Y Long - Industrial Management & Data Systems, 2005 - emerald.com
Purpose–The growing interest in e‐government raises the question of stages in e‐
government development. A few stage models for e‐government have been proposed …
government development. A few stage models for e‐government have been proposed …
A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system
As an emerging digital servitization paradigm, smart product-service system (Smart PSS)
leverages smart, connected products and their generated services to work as a solution …
leverages smart, connected products and their generated services to work as a solution …
Predicting students' performance using ID3 and C4. 5 classification algorithms
An educational institution needs to have an approximate prior knowledge of enrolled
students to predict their performance in future academics. This helps them to identify …
students to predict their performance in future academics. This helps them to identify …
Business analytics/business intelligence and IT infrastructure: impact on organizational agility
This is an empirical research investigating the impact of business analytics (BA) and
business intelligence (BI) use, IT infrastructure flexibility, and their interactions on …
business intelligence (BI) use, IT infrastructure flexibility, and their interactions on …
Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach
Customer retention is one of the key challenges in the telecommunication industry.
Companies may find customer churn prediction to be vital to the success of their operations …
Companies may find customer churn prediction to be vital to the success of their operations …