Remeasuring Postsecondary Teaching: How Singular Categories of Instruction Obscure the Multiple Dimensions of Classroom Practice

2014 ◽  
Vol 043 (03) ◽  
Author(s):  
Matthew Hora ◽  
Joseph Ferrare
2019 ◽  
Vol 43 (1) ◽  
pp. 106-137 ◽  
Author(s):  
Rachel Garrett ◽  
Martyna Citkowicz ◽  
Ryan Williams

While teacher effectiveness has been a particular focus of federal education policy, and districts allocate significant resources toward professional development for teachers, these efforts are guided by an unexplored assumption that classroom practice can be improved through intervention. Yet even assuming classroom practice is responsive, little information is available to inform stakeholder expectations about how much classroom practice may change through intervention, or whether particular aspects of classroom practice are more amenable to improvement. Moreover, a growing body of rigorous research evaluating programs with a focus on improving classroom practice provides a new opportunity to explore factors associated with changes in classroom practice, such as intervention, study sample, or contextual features. This study examines the question of responsiveness by conducting a meta-analysis of randomized experiments of interventions directed at classroom practice. Our empirical findings indicate that multiple dimensions of classroom practice improve meaningfully through classroom practice-directed intervention, on average, but also find substantial heterogeneity in the effects. Implications for practice and research are discussed.


2020 ◽  
Vol 639 ◽  
pp. 185-197 ◽  
Author(s):  
MJ Malick ◽  
ME Hunsicker ◽  
MA Haltuch ◽  
SL Parker-Stetter ◽  
AM Berger ◽  
...  

Environmental conditions can have spatially complex effects on the dynamics of marine fish stocks that change across life-history stages. Yet the potential for non-stationary environmental effects across multiple dimensions, e.g. space and ontogeny, are rarely considered. In this study, we examined the evidence for spatial and ontogenetic non-stationary temperature effects on Pacific hake Merluccius productus biomass along the west coast of North America. Specifically, we used Bayesian additive models to estimate the effects of temperature on Pacific hake biomass distribution and whether the effects change across space or life-history stage. We found latitudinal differences in the effects of temperature on mature Pacific hake distribution (i.e. age 3 and older); warmer than average subsurface temperatures were associated with higher biomass north of Vancouver Island, but lower biomass offshore of Washington and southern Vancouver Island. In contrast, immature Pacific hake distribution (i.e. age 2) was better explained by a nonlinear temperature effect; cooler than average temperatures were associated with higher biomass coastwide. Together, our results suggest that Pacific hake distribution is driven by interactions between age composition and environmental conditions and highlight the importance of accounting for varying environmental effects across multiple dimensions.


1999 ◽  
Author(s):  
E. Caramana ◽  
D. Burton ◽  
C. Rousculp ◽  
M. Shashkov ◽  
P. Whalen

10.28945/4246 ◽  
2019 ◽  

[This Proceedings paper was revised and published in the 2019 issue of the Journal of Information Technology Education: Innovations in Practice, Volume 18.] Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However, most of the studies employed omnibus approaches, i.e. without consideration of different programing concepts and ability levels of the trainee programmers. Such concepts and ability specific errors identification and classifications are needed to advance appropriate intervention strategy. Methodology: A sequential exploratory mixed method design was adopted. The sample was an intact class of 124 Computer Science and Engineering undergraduate students grouped into three achievement levels based on first semester performance in a Java programming course. The submitted codes in the course of second semester exercises were analyzed for possible errors, categorized and grouped across achievement level. The resulting data were analyzed using descriptive statistics as well as Pearson product correlation coefficient. Qualitative analyses through interviews and focused group discussion (FGD) were also employed to identify reasons for the committed errors. Contribution:The study provides a useful concept-based and achievement level specific error log for the teaching of Java programming for beginners. Findings: The results identified 598 errors with Missing symbols (33%) and Invalid symbols (12%) constituting the highest and least committed errors respec-tively. Method and Classes concept houses the highest number of errors (36%) followed by Other Object Concepts (34%), Decision Making (29%), and Looping (10%). Similar error types were found across ability levels. A significant relationship was found between missing symbols and each of Invalid symbols and Inappropriate Naming. Errors made in Methods and Classes were also found to significantly predict that of Other Object concepts. Recommendations for Practitioners: To promote better classroom practice in the teaching of Java programming, findings for the study suggests instructions to students should be based on achievement level. In addition to this, learning Java programming should be done with an unintelligent editor. Recommendations for Researchers: Research could examine logic or semantic errors among novice programmers as the errors analyzed in this study focus mainly on syntactic ones. Impact on Society: The digital age is code-driven, thus error analysis in programming instruction will enhance programming ability, which will ultimately transform novice programmers into experts, particularly in developing countries where most of the software in use is imported. Future Research: Researchers could look beyond novice or beginner programmers as codes written by intermediate or even advanced programmers are still not often completely error free.


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