‘That classroom, that camaraderie … it’s uplifting’: how a pedagogy designed to strengthen academic literacies and skills in critical analysis and address the adverse influence of liberalism created a vibrant, empowering learning community

2022 ◽  
pp. 1-20
Author(s):  
John Gerard Fox ◽  
Pauline O’Maley
Keyword(s):  
Learning Community ◽  
Critical Analysis ◽  
Academic Literacies ◽  
Adverse Influence

scholarly journals Machine learning in tutorials – Universal applicability, underinformed application, and other misconceptions

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110175
Author(s):  
Hendrik Heuer ◽  
Juliane Jarke ◽  
Andreas Breiter
Keyword(s):  
Machine Learning ◽  
Information Systems ◽  
Learning Community ◽  
Critical Analysis ◽  
Prior Information ◽  
Social Inequalities ◽  
Information Source ◽  
Machine Learning Algorithms ◽  
Special Expertise ◽  
Universal Applicability

Machine learning has become a key component of contemporary information systems. Unlike prior information systems explicitly programmed in formal languages, ML systems infer rules from data. This paper shows what this difference means for the critical analysis of socio-technical systems based on machine learning. To provide a foundation for future critical analysis of machine learning-based systems, we engage with how the term is framed and constructed in self-education resources. For this, we analyze machine learning tutorials, an important information source for self-learners and a key tool for the formation of the practices of the machine learning community. Our analysis identifies canonical examples of machine learning as well as important misconceptions and problematic framings. Our results show that machine learning is presented as being universally applicable and that the application of machine learning without special expertise is actively encouraged. Explanations of machine learning algorithms are missing or strongly limited. Meanwhile, the importance of data is vastly understated. This has implications for the manifestation of (new) social inequalities through machine learning-based systems.

379: A Critical Analysis of the Interpretation of Biochemical Recurrence in Surgically Treated Patients using the Revised ASTRO Criterion–"NADIR +2"

2007 ◽  
Vol 177 (4S) ◽  
pp. 126-126
Author(s):  
Matthew E. Nielsen ◽  
Danil V. Makarov ◽  
Elizabeth B. Humphreys ◽  
Leslie A. Mangold ◽  
Alan W. Partin ◽  
...  
Keyword(s):  
Biochemical Recurrence ◽  
Critical Analysis

Effectiveness of Programs for the Prevention of Child Sexual Abuse

2020 ◽  
Vol 25 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Amaia Del Campo ◽  
Marisalva Fávero
Keyword(s):  
United States ◽  
Sexual Abuse ◽  
New Zealand ◽  
Critical Analysis ◽  
Prevention Programs ◽  
The United States ◽  
Sexual Abuse Prevention ◽  
Negative Effects ◽  
The United Kingdom ◽  
Methodological Considerations

Abstract. During the last decades, several studies have been conducted on the effectiveness of sexual abuse prevention programs implemented in different countries. In this article, we present a review of 70 studies (1981–2017) evaluating prevention programs, conducted mostly in the United States and Canada, although with a considerable presence also in other countries, such as New Zealand and the United Kingdom. The results of these studies, in general, are very promising and encourage us to continue this type of intervention, almost unanimously confirming its effectiveness. Prevention programs encourage children and adolescents to report the abuse experienced and they may help to reduce the trauma of sexual abuse if there are victims among the participants. We also found that some evaluations have not considered the possible negative effects of this type of programs in the event that they are applied inappropriately. Finally, we present some methodological considerations as critical analysis to this type of evaluations.

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