Global and Individual Treatment Effects Using Machine Learning Methods

Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H.

doi:10.1007/s40593-020-00203-5

Cited by 8 publications

(6 citation statements)

References 18 publications

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“…19 For every single estimate, we have controlled for the same set of covariates as in the main analysis. This approach allows gauging individual treatment effects, which might help understand how the impact of a policy intervention varies with the features of the regions and the economic context (see Smith et al 2020). It also enables taking into account the substantial heterogeneity in the exiting conditions, mainly due to the political bargaining process, which is crucial to respond to our main research question.…”

Section: The Heterogeneity Of the Impactmentioning

confidence: 99%

I will survive! The impact of place-based policies when public transfers fade out

Cerqua

Pellegrini

2022

Regional Studies

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Are place-based policies capable of taking lagging areas to a higher growth trajectory permanently? We answer this key question by investigating what happens when strongly subsidised regions suddenly experience a substantial reduction in external funding. We analyse an extensive database and estimate the average causal impact of exiting the convergence region status of the EU regional policy via the mean balancing approach, an econometric technique created appositely to fully exploit time-series cross-sectional data. Such an approach also allows us to investigate the heterogeneity of the impact concerning relevant covariates. We find that regions which experienced a considerable reduction in funding in a period of economic expansion did not suffer from the loss of such funding. On the other hand, we find that the sharp reduction in funding during the crisis led to a negative, but not statistically significant, impact on economic growth. However, the impact varies with the features of the regions and the local economic context. These findings differ from previous literature and signal a long-term positive effect of the EU funds on growth and employment.

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Section: The Heterogeneity Of the Impactmentioning

confidence: 99%

I will survive! The impact of place-based policies when public transfers fade out

Cerqua

Pellegrini

2022

Regional Studies

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“…Predictive technologies like early warning systems might avoid failing during learning [ 15 , 16 ]. An alert works as a strong sign and shows the need to use support and intervention offers [ 17 ]. In the USA, universities need to focus on successful students because they increase the reputation and assure funding.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“This Student Needs to Stay Back”: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?

2022

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Learning analytics (LA) systems are becoming a new source of advice for instructors. Using LA provides new insights into learning behaviours and occurring problems about learners. Educational platforms collect a wide range of data while learners use them, for example, time spent on the platform, passed exams, and completed tasks and provide recommendations in terms of predicted learning success based on LA. In turn, LA might increase efficiency and objectivity in the grading process. In this paper, we examine how instructors react to the platform’s automatic recommendations and to which extent they consider them when judging learners. Drawing on an adaptive choice-based experimental research design and a sample of 372 instructors, we analyze whether and to what degree instructors are influenced by the provided data and recommendations of an unknown LA system. In a follow-up study with 95 teachers, we describe the differences in the use of data between learners and the influence of early warning systems. All in all, we show the influence of automatic evaluation on teachers.

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“…At the same time, dashboards or warnings of dropping out can only be beneficial and effective with high data quality. Educational applications of LA can prevent students' course failing by an "early warning system" that can motivate students to use support systems, such as individual treatments [SCB20]. All these analyses can be conducted in the LMS.…”

Section: Conceptual Backgroundmentioning

confidence: 99%

“…At the same time, the implementation of machine learning methods in analytics applications can be challenging [SCB20]. For example, the use of personal data for success prediction might be problematic if the underlying algorithm design and configuration is influenced by human subjectivity [Mi16].…”

Section: Conceptual Backgroundmentioning

confidence: 99%

Digital Transformation in Educational Institutions: Scrutinizing the Debate and Highlighting Success Factors: A qualitative study on the current use of learning management systems and learning analytics in Germany

Mai¹,

Schmodde²,

Wehner³

2022

Angewandte Forschung in Der Wirtschaftsinformatik 2022

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In German education, digitalization is evolving, and the COVID-19 pandemic has accelerated this process due to closed schools and universities. While these external conditions were almost the same for all institutions, they have dealt with remote teaching in different ways and developed various new learning concepts. We conducted 27 interviews with headmasters, e-learning managers, and teachers from Germany to gain insights into varying attitudes towards learning management systems, as well as the motivations and concerns about future teaching with digital support. Using an inductive method, we identify different obstacles, including lack of digital competencies, necessity of technical equipment, concerns about replacing traditional lessons, but also enthusiasm for new opportunities. We argue that a meaningful use of learning management systems and learning analytics depends on an open and impartial debate on data protection and equal opportunities. Overall, this paper contributes to current research with proposition development about privacy rights and inequalities.

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Global and Individual Treatment Effects Using Machine Learning Methods

Cited by 8 publications

References 18 publications

I will survive! The impact of place-based policies when public transfers fade out

I will survive! The impact of place-based policies when public transfers fade out

“This Student Needs to Stay Back”: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?

Digital Transformation in Educational Institutions: Scrutinizing the Debate and Highlighting Success Factors: A qualitative study on the current use of learning management systems and learning analytics in Germany

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