Rosa Lavelle-Hill

Rosa Lavelle-Hill
University of Copenhagen · SODAS

PhD `Big Data Psychology'

About

16
Publications
5,415
Reads
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46
Citations
Citations since 2017
16 Research Items
46 Citations
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Introduction
Rosa employs machine learning and data science methods, combined with theory and principles from psychology, to better understand and predict human behaviour in the real world.
Additional affiliations
April 2018 - present
University of Nottingham
Position
  • Master's Student
October 2015 - present
University of Nottingham
Position
  • PhD Student
October 2015 - September 2016
University of Nottingham
Position
  • Lab demonstrator
Description
  • Helping undergraduates with lab research projects
Education
September 2011 - June 2015
University of Nottingham
Field of study
  • Psychology with International Study

Publications

Publications (16)
Article
Full-text available
Analytic and holistic marking are typically researched as opposites, generating a mixed and inconclusive evidence base. Holistic marking is low on content validity but efficient. Analytic approaches are praised for transparency and detailed feedback. Capturing complex criteria interactions, when deciding marks, is claimed to be better suited to hol...
Poster
Full-text available
We teamed up with IEFP (the Institute of Employment and Vocational training in Portugal) to build a recommender system to help match job seekers to interventions which will enable them to get employed quicker. We mined 10 years worth of data of over 100 million interactions between job seekers and job counsellors to provide job seekers with intelli...
Article
Despite the success of plastic bag charges in the UK, there are still around a billion single-use plastic bags bought each year in England alone, and the government have made plans to increase the levy from 5 to 10 pence. Previous research has identified motivations for bringing personal bags to a supermarket, but little is known about the individu...
Article
Full-text available
Forty million people are estimated to be in some form of modern slavery across the globe. Understanding the factors that make any particular individual or geographical region vulnerable to such abuse is essential for the development of effective interventions and policy. Efforts to isolate and assess the importance of individual drivers statistical...
Article
Full-text available
Understanding what factors predict whether an urban migrant will end up in a deprived neighbourhood or not could help prevent the exploitation of vulnerable individuals. This study leveraged pseudonymized mobile money interactions combined with cell phone data to shed light on urban migration patterns and deprivation in Tanzania. Call detail record...
Preprint
Full-text available
Systematic reviews and meta-analyses are crucial for advancing research; yet, they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in the field of education and educational psychology, and there is a lack o...
Chapter
The analysis of fine-grained data on students’ learning behavior in intelligent tutoring systems using machine learning is a starting point for personalized learning. However, findings from such analyses are commonly viewed as uninterpretable and, hence, not helpful for understanding learning processes. The explainable AI method SHAP, which generat...
Preprint
Full-text available
We point out potential drawbacks of some of Leising et al.’s (2022a) proposed ways how personality science can be improved. We argue that it is ill-advised to use only one measure for a concept. Also, we argue that researchers should not refrain from conducting a study when a high level of statistical power is precluded. Then, we go one step furthe...
Preprint
Full-text available
40 million people are estimated to be in some form of modern slavery across the globe. Understanding the factors that make any particular individual or geographical region vulnerable to such abuse is essential for the development of effective interventions and policy. Efforts to isolate and assess the importance of individual drivers statistically...
Article
Full-text available
This thesis investigates what big data can add to the psychological study of human behaviour; and how Psychological theory can inform developments in machine learning models predicting human behaviour. It works through the difficulties that arise when the fields of machine learning and psychology meet. While machine learning models deal well with b...
Preprint
Full-text available
Recommender systems and personalised marketing algorithms now proliferate our daily lives, harnessing similarity to other profiles to guide our purchasing decisions. Recent research indicates that this personalisation can be good for our well-being, as spending in a way that fits our personality, can engender happiness. Less well-understood however...
Preprint
Despite the success of plastic bag charges in the UK, there are still around a billion single-use plastic bags bought each year in England alone, and the government have made plans to increase the levy from 5 to 10 pence. Previous research has identified motivations for bringing personal bags to the supermarket, but little is known about the indivi...
Article
Full-text available
Analytic and holistic marking are typically researched as opposites, generating a mixed and inconclusive evidence base. Holistic marking is low on content validity but efficient. Analytic approaches are praised for transparency and detailed feedback. Capturing complex criteria interactions, when deciding marks, is claimed to be better suited to hol...
Conference Paper
Full-text available
Despite the success of plastic bag charges in the UK, there are still around a billion single-use plastic bags bought each year in England alone (DEFRA, 2018), and politicians are currently debating whether to double the 5 pence charge to 10 pence (Rawlinson, 2018). Previous research has identified motivations for bringing personal bags to the supe...
Presentation
Full-text available
Learning analytics (LA) is a developing area of practice in higher education institutions. The scope and consistency of the data available institutionally play a significant role in defining LA and, to date, limit potential applications. Enhanced applications of LA would be to support practitioners’ understanding on student learning with view to en...
Conference Paper
Full-text available
Examining two different case studies in which machine learning methods have enhanced psychological investigation, compared with an explanation based approach. Case 1: Using random forests to extract which personality variables are most predictive of plastic bag purchases. Case 2: Using decision trees to understand the sub-groups and non-linear rela...

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