Educational data mining and learning analytics: An updated survey

C Romero, S Ventura - Wiley interdisciplinary reviews: Data …, 2020‏ - Wiley Online Library
This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …

[HTML][HTML] Opportunities of artificial intelligence for supporting complex problem-solving: Findings from a sco** review

S Joksimovic, D Ifenthaler, R Marrone… - … and Education: Artificial …, 2023‏ - Elsevier
The research objective of this paper is to advance knowledge about the role of artificial
intelligence (AI) in complex problem-solving. A problem is complex due to the large number …

[HTML][HTML] The current landscape of learning analytics in higher education

O Viberg, M Hatakka, O Bälter, A Mavroudi - Computers in human behavior, 2018‏ - Elsevier
Learning analytics can improve learning practice by transforming the ways we support
learning processes. This study is based on the analysis of 252 papers on learning analytics …

Tourism and its economic impact: A literature review using bibliometric tools

N Comerio, F Strozzi - Tourism economics, 2019‏ - journals.sagepub.com
Topics such as the relationship between tourism and economic impact, its potential benefits
and negative externalities are characterized by both vastness and heterogeneity of contents …

Literature review on the 'Smart Factory'concept using bibliometric tools

F Strozzi, C Colicchia, A Creazza… - International journal of …, 2017‏ - Taylor & Francis
The objective of this paper is to depict a landscape of the scientific literature on the concept
of the 'Smart Factory', which in recent years is gaining more and more attention from …

Using learning analytics to scale the provision of personalised feedback

A Pardo, J Jovanovic, S Dawson… - British journal of …, 2019‏ - Wiley Online Library
There is little debate regarding the importance of student feedback for improving the
learning process. However, there remain significant workload barriers for instructors that …

Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success

D Gašević, S Dawson, T Rogers, D Gasevic - The Internet and Higher …, 2016‏ - Elsevier
This study examined the extent to which instructional conditions influence the prediction of
academic success in nine undergraduate courses offered in a blended learning model (n …

Text mining in education

R Ferreira‐Mello, M André, A Pinheiro… - … : Data Mining and …, 2019‏ - Wiley Online Library
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

Let's not forget: Learning analytics are about learning

D Gašević, S Dawson, G Siemens - TechTrends, 2015‏ - Springer
The analysis of data collected from the interaction of users with educational and information
technology has attracted much attention as a promising approach for advancing our …

Identifying significant indicators using LMS data to predict course achievement in online learning

JW You - The Internet and Higher Education, 2016‏ - Elsevier
This study sought to identify significant behavioral indicators of learning using learning
management system (LMS) data regarding online course achievement. Because self …