Perception of professors who teach statistics in higher education in Brazil towards statistical teaching

Júnior, Ailton Paulo de Oliveira; Araújo, Fausto José Caetano

doi:10.17648/acta.scientiae.v20iss1id3418

Cited by 2 publications

(2 citation statements)

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“…Text analytics is a technique of unsupervised learning applied to extract meanings, patterns and structures hidden in unstructured textual data. Text analytics were performed using the software IRaMuTeQ 0.7 alpha 2 (http://www.iramuteq.org/) (Oliveira Júnior and Salerno, 2021) and the corpus preparation took place with a cleaning phase in the pre-processing, and once the parsing was completed, it was analyzed following these steps: (1) calculation of the main lexicometric measures for corpus validation (2) similarity and co-occurrence analysis (3) application of Reinert's classification technique for the identification of semantic clusters (Ratinaud, 2009).…”

Section: Methodsmentioning

confidence: 99%

Scenario analysis and climate change: a literature review via text analytics

Aversa

2023

BFJ

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PurposeClimate change has a direct impact on companies. Therefore, the scenario analysis is used to provide companies and stakeholders in this specific sector with forward-looking measures and narratives of the world's future state. This work aims to provide an independent, wide and rigorous literature review on the topics of scenario analysis and climate change, analyzing a large set of referred papers included in economic journals on the Web of Science Clarivate Analytics data source. This review, by means of a mixed approach, can help address new policy strategies and business models.Design/methodology/approachThe work employs 416 abstracts and relative titles in the field of economics, employing data mining for qualitative variables and performing descriptive statistics and lexicometric measures, similarity analysis and clustering with Reinert's hierarchical method in order to extract knowledge. Furthermore, qualitative content analysis allows for the return of a comprehensive and complete universe of meaning, as well as the analysis of co-occurences.FindingsContent analysis reveals three main classification clusters and four unknown patterns: model area, risks, emissions and energy and carbon pricing, indicating research directions and limitations through an overview with an extensive reference bibliography. In the research, the prevalent use of quantitative instruments and their limitations emerge, while qualitative instruments are residual for climate change assessment; they also highlight the centrality of transition risk over adaptation measures and the combination of different types of instruments with reference to carbon pricing.Originality/valueScenario analysis is a relatively new topic in economics and finance research, and it is under-investigated by the academy. The analysis combines quantitative and qualitative research using text analytics.

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Section: Methodsmentioning

confidence: 99%

Scenario analysis and climate change: a literature review via text analytics

Aversa

2023

BFJ

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“…Two of those groups used the flipped classroom methodology, while the other two had traditional lectures. Because Statistics is often seen as a demanding course that needs to be attached to the practice (De Oliveira Júnior & Araújo, 2018), the professor decided to flip the class to invite the students to participate more actively in their learning process. The groups had approximately 45 students each and were held over one semester, twice a week, with classes lasting for one hour and forty minutes.…”

Section: Case Descriptionmentioning

confidence: 99%

Flipped classroom goes sideways: reflections on active learning methodologies

Leão

Coelho

Campana

et al. 2022

REGE

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PurposeThe present study aims to investigate an unsuccessful implementation of an active learning methodology. Active learning methods have emerged in order to improve learning processes and increase students' roles in the classroom. Most studies on the subject focus on developing learning strategies based on successful implementations of such methods. Nevertheless, critical reflections on unsuccessful cases might also provide material for developing further contributions to this literature.Design/methodology/approachThe authors conducted an intrinsic case study of an unsuccessful application of the flipped classroom method to an undergraduate basic statistics course at a Brazilian business school. The data collected comprised the course's syllabus, evaluation forms and two rounds of interviews with students and the professor.FindingsThe findings indicate that, apart from that which had been mapped by past literature, three additional aspects may limit the chances of successfully implementing a flipped classroom methodology: students' educational backgrounds, the course's structural issues and methodological and relational issues.Originality/valueThe present study contributes to the literature on active learning methodologies mainly by mapping additional aspects that should be considered in the implementation of the flipped classroom methodology. Additionally, the authors investigate an unsuccessful case of such an implementation, an investigation that is still scant within this literature.

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Perception of professors who teach statistics in higher education in Brazil towards statistical teaching

Cited by 2 publications

References 4 publications

Scenario analysis and climate change: a literature review via text analytics

Scenario analysis and climate change: a literature review via text analytics

Flipped classroom goes sideways: reflections on active learning methodologies

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