scholarly journals Applications of data science to game learning analytics data: A systematic literature review

2019 ◽  
Vol 141 ◽  
pp. 103612 ◽  
Author(s):  
Cristina Alonso-Fernández ◽  
Antonio Calvo-Morata ◽  
Manuel Freire ◽  
Iván Martínez-Ortiz ◽  
Baltasar Fernández-Manjón
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Analytics ◽  
Data Science

scholarly journals Critical Lens in Learning Analytics Research: A Systematic Literature Review

2019 ◽  
Author(s):  
Márcia Cristina Moraes ◽  
James Folkestad ◽  
Daniel Birmingham
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Analytics

scholarly journals Learning Analytics: A Systematic Literature Review

2018 ◽  
Vol 9 (2) ◽  
Author(s):  
Seyyed Kazem Banihashem ◽  
Khadijeh Aliabadi ◽  
Saeid Pourroostaei Ardakani ◽  
Ali Delaver ◽  
Mohammadreza Nili Ahmadabadi
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Analytics

scholarly journals The evidence of impact and ethical considerations of Multimodal Learning Analytics: A Systematic Literature Review

2021 ◽  
Author(s):  
Haifa Alwahaby ◽  
Mutlu Cukurova ◽  
Zacharoula Papamitsiou ◽  
Michail Giannakos
Keyword(s):  
Literature Review ◽  
Learning Outcomes ◽  
Systematic Literature Review ◽  
Real World ◽  
Learning Analytics ◽  
Multimodal Learning ◽  
Ethical Considerations ◽  
Multimodal Data ◽  
Multimodal Learning Analytics ◽  
Evidence Of Impact

There is a growing interest in the research and use of multimodal data in learning analytics. This paper presents a systematic literature review of multimodal learning analytics (MMLA) research to assess i) the available evidence of impact on learning outcomes in real-world contexts and ii) explore the extent to which ethical considerations are addressed. A few recent literature reviews argue for the promising value of multimodal data in learning analytics research. However, our understanding of the challenges associated with MMLA research from real-world teaching and learning environments is limited. To address this gap, this paper provides an overview of the evidence of impact and ethical considerations stemming from an analysis of the relevant MMLA research published in the last decade. The search of the literature resulted in 663 papers, of which 100 were included in the final synthesis. The results show that the evidence of real-world impact on learning outcomes is weak, and ethical aspects of MMLA work are rarely addressed. We discuss our results through the lenses of two theoretical frameworks for evidence of impact types and ethical dimensions of MMLA. We conclude that for MMLA to stay relevant and become part of mainstream education, future research should directly address the gaps identified in this review.

scholarly journals Big data and analytics in hospitality and tourism: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Mariani ◽  
Rodolfo Baggio
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Science ◽  
The Body ◽  
Future Research ◽  
Content Type ◽  
Tourism Management ◽  
Scientific Outputs ◽  
Hospitality And Tourism

Purpose The purpose of this work is to survey the body of research revolving around big data (BD) and analytics in hospitality and tourism, by detecting macro topical areas, research streams and gaps and to develop an agenda for future research. Design/methodology/approach This research is based on a systematic literature review of academic papers indexed in the Scopus and Web of Science databases published up to 31 December 2020. The outputs were analyzed using bibliometric techniques, network analysis and topic modeling. Findings The number of scientific outputs in research with hospitality and tourism settings has been expanding over the period 2015–2020, with a substantial stability of the areas examined. The vast majority are published in academic journals where the main reference area is neither hospitality nor tourism. The body of research is rather fragmented and studies on relevant aspects, such as BD analytics capabilities, are virtually missing. Most of the outputs are empirical. Moreover, many of the articles collected relatively small quantities of records and, regardless of the time period considered, only a handful of articles mix a number of different techniques. Originality/value This work sheds new light on the emergence of a body of research at the intersection of hospitality and tourism management and data science. It enriches and complements extant literature reviews on BD and analytics, combining these two interconnected topics.

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