scholarly journals A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems

Author(s):  
Yun Huang ◽  
Nikki G. Lobczowski ◽  
J. Elizabeth Richey ◽  
Elizabeth A. McLaughlin ◽  
Michael W. Asher ◽  
...  
2020 ◽  
Author(s):  
Nicholas Michael Michalak ◽  
Joshua Ackerman

How do people mentally represent distinct interpersonal threats? Across human history, interpersonal threats such as infectious disease and violence have posed powerful selection pressures. Such pressures selected for psychological systems that help identify and reduce threats posed by other people. In the case of infectious disease, psychology researchers have found that such systems respond to a variety of infection cues (e.g., rashes, swelling) as well as cues that merely resemble infection cues (e.g., birthmarks, obesity). Are such cues part of people’s mental representations, and if so, are those cues unique to infection representations or are they included in representations of other threats? Using a multi-method approach, we find that when participants listed traits or drew mental representations of threat, they perceived infected and violent others to differ along threat-specific features. However, when using a data-driven, reverse correlation method that restricted participants from deliberating on and editing their representations, participants generated mental images that were similar on many of the features that both researchers and laypeople expect to distinguish infection and violence threats. These findings suggest our understanding of threat processing may suffer from a disconnect between the threat cues derived from the expectations of researchers and those revealed when expectations are constrained.


2019 ◽  
Author(s):  
Paul S. Martin ◽  
◽  
Blair R. Tormey ◽  
John M. Sullivan ◽  
Craig A Schultz

Author(s):  
William V. Pelfrey

AbstractDisasters can move quickly. Effective communication is a critical resource that can significantly enhance public safety. A mass notification system (MNS) uses text messaging to inform constituents of crisis, provide recommendations, connect to resources, and has the advantage of speed. Limited research has been conducted on the variables that influence the effectiveness, utilization, and perceptions of MNS. The extant study employs a multi-method approach to advance the scholarly knowledge on MNS. All emergency managers in a state were surveyed on issues of MNS enrollment, utilization, and brand. A subgroup of emergency managers were then interviewed to provide depth to the survey findings. Key findings indicate wide variability in MNS usage, little relationship between population size and enrollment, and a high perceived importance of MNS as a communication modality. Policy implications and recommendations are offered.


2021 ◽  
pp. 026858092199451
Author(s):  
Adrian Scribano

The social sciences in Latin America have always had a special connection with the study and analysis of the place of emotions in the social structuration processes. The aim of this article is to offer a synthetic exposition of some inquiries about emotions and the politics of sensibilities in Latin America, emphasizing those that are being felt in the context of the COVID-19 pandemic. To achieve this objective, first we offer a synthesis of the theoretical and methodological points that will guide the interpretation; then we draw on pre-existing inquiries and surveys which allow us to capture the state of sensibilities before and during the pandemic in the region; and finally some conclusions are presented. The work is based on a multi-method approach, where qualitative and quantitative secondary and primary data are articulated in tandem.


Author(s):  
Ekaterina Kochmar ◽  
Dung Do Vu ◽  
Robert Belfer ◽  
Varun Gupta ◽  
Iulian Vlad Serban ◽  
...  

AbstractIntelligent tutoring systems (ITS) have been shown to be highly effective at promoting learning as compared to other computer-based instructional approaches. However, many ITS rely heavily on expert design and hand-crafted rules. This makes them difficult to build and transfer across domains and limits their potential efficacy. In this paper, we investigate how feedback in a large-scale ITS can be automatically generated in a data-driven way, and more specifically how personalization of feedback can lead to improvements in student performance outcomes. First, in this paper we propose a machine learning approach to generate personalized feedback in an automated way, which takes individual needs of students into account, while alleviating the need of expert intervention and design of hand-crafted rules. We leverage state-of-the-art machine learning and natural language processing techniques to provide students with personalized feedback using hints and Wikipedia-based explanations. Second, we demonstrate that personalized feedback leads to improved success rates at solving exercises in practice: our personalized feedback model is used in , a large-scale dialogue-based ITS with around 20,000 students launched in 2019. We present the results of experiments with students and show that the automated, data-driven, personalized feedback leads to a significant overall improvement of 22.95% in student performance outcomes and substantial improvements in the subjective evaluation of the feedback.


2021 ◽  
pp. 030913252098512
Author(s):  
Adam Bledsoe

This article argues that work on geographies of Blackness and Black Geographies emphasizes different aspects of Black experiences and relies on different methodologies in making these emphases. I focus on the work of six prominent geographers who engage with questions of Blackness and examine the different data sources they draw on. I show that they all employ a multi-method, interdisciplinary approach in their scholarship and that all of them, regardless of emphasis or method, foreground the experiences of black populations. I argue that this collective multi-method approach pushes the conceptual boundaries of the wider discipline of Geography.


Author(s):  
Renata de Oliveira Mota ◽  
Moacir Godinho Filho ◽  
Lauro Osiro ◽  
Gilberto Miller Devós Ganga ◽  
Glauco Henrique de Sousa Mendes

Author(s):  
Ian Howard ◽  
Peter Cameron ◽  
Maaret Castrén ◽  
Lee Wallis ◽  
Veronica Lindström

ABSTRACT Background Quality Indicator (QI) appraisal protocols are a novel methodology that combines multiple appraisal methods to comprehensively assess the "appropriateness" of QIs for a particular healthcare setting. However, they remain inadequately explored compared to the single appraisal method approach. This paper aimed to describe and test a QI appraisal protocol versus the single method approach, against a series of QIs potentially relevant to the South African Prehospital Emergency Care setting. Methods An appraisal protocol was developed consisting of two categorical-based appraisal methods, combined with the qualitative analysis of the discussion generated during the consensus application of each method. The output of the protocol was assessed and compared with the application and output of each method. Inter-rater reliability of each particular method was evaluated prior to group consensus rating. Variation in the number of non-valid QIs and the proportion of non-valid QIs identified between each method and the protocol were compared and assessed. Results There was mixed IRR of the individual methods. There was similarly low to moderate correlation of the results obtained between the particular methods (Spearman’s rank correlation=0.42,p<0.001). From a series of 104 QIs, 11 non-valid QIs were identified that were shared between the individual methods. A further 19 non-valid QIs were identified and not shared by each method, highlighting the benefits of a multi-method approach. The outcomes were additionally evident in the group discussion analysis, which in and of itself added further input that would not have otherwise been captured by the individual methods alone. Conclusion The utilization of a multi-method appraisal protocol offers multiple benefits, when compared to the single appraisal approach, and can provide the confidence that the outcomes of the appraisal will ensure a strong foundation on which the QI framework can be successfully implemented.


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