Ronli Diakow's research while affiliated with New York City Department of Education and other places

Publications (5)

Article
This article describes the development of an assessment system for adolescent reading comprehension. It presents a research context—a reading intervention implemented in middle and high schools in an urban district—which became the impetus for the work. The article outlines the organizational principles of construct modeling that guided the design...
Article
In the analysis of causal effects in non-experimental studies, conditioning on observable covariates is one way to try to reduce unobserved confounder bias. However, a developing literature has shown that conditioning on certain covariates may increase bias, and the mechanisms underlying this phenomenon have not been fully explored. We add to the l...
Chapter
This paper is concerned with one of the steps necessary to trace the connection between the substantive theory that serves as a basis for an assessment and the mathematical models that are used to analyze and rate student responses. We are interested in exploring this connection in the context of hypothesized variables that (a) have multiple ordere...
Article
This paper reports a study of the efficacy of Learning Mathematics through Representations (LMR), an innovative curriculum unit designed to support upper elementary students’ understandings of integers and fractions. The unit supports an integrated treatment of integers and fractions through (a) the use of the number line as a cross-domain represen...

Citations

... 24 These provide a common scale for measuring both items difficulty and individuals' ability and are used to test the same person on items of progressive difficulty to determine his/her ability threshold. These experimental frameworks have already been adopted in reading comprehension frameworks [56] and partly in Visual Information Literacy assessment [7]. The mirror side of reading Visual Information is writing it: the ability to design, propose or draw the right data graphics against a piece of non visual information, to test whether writing data graphics capacity has the same developmental progression as reading data graphics. ...
... In our work, we use the BiasAmp → measure from [43], which addressed shortcomings in prior work [47], to measure bias amplification. Bias amplification has also been studied in the context of causal statistics [3,30,35,36,44], but that line of work has remained disparate from the study of bias amplification in machine learning. Despite the plethora of prior work on measuring bias amplification, little is known on when and how bias amplification arises in machine-learning models. ...
... Understanding temperature stories more inherently provides insight into conceptions of relativity and translations, as the temperature context incorporates a scale and uses relative number (e.g., − 2 °F is not the same as − 2 °C). Temperature provides students with opportunities to think about negative integers as relative numbers below zero (Gallardo 2002) and may also evoke mental images of a thermometer, which is naturally tied to a number line (Altiparmak and Özdoğan 2010;Beatty 2010;Schwarz et al. 1993), an important pedagogical tool (e.g., Saxe et al. 2013). Combined with the evocation of the relative scale and the increases and decreases of temperature, the context of temperature is also productive for supporting conceptualizations of integers as relative numbers and translations (Thompson and Dreyfus 1988;Gallardo 2002;Tillema 2012;Ulrich 2012;Wessman-Enzinger 2019a, b) and may support definitions of subtraction as difference (e.g., Whitacre et al. 2016;Bofferding and Wessman-Enzinger 2017;Kilhamn 2018). ...