Harnessing the learning potential of feedback: Dedicated improvement and reflection time (DIRT) in classroom practice

2021 ◽  
pp. 206-216
Author(s):  
Naomi E. Winstone ◽  
Neil T. Winstone
2020 ◽  
Vol 10 (1) ◽  
pp. 47-59
Author(s):  
Hanne Kristin Aas

PurposeThis paper discusses findings from a four-year research and development project using lesson study in a Norwegian elementary school. There are only a limited number of studies which have investigated how talk mediates teacher learning in lesson study, whereas research has shown that the form communication takes is the key to whether or not collaboration leads to learning. Focus in this paper is therefore on the talk which takes place in teacher teams when they meet to plan the research lesson in lesson study. The article explores sequences of talk that afford opportunities for teacher learning in order to understand what triggers and characterizes these opportunities.Design/methodology/approachData consisted of audio recordings of four teacher teams made during planning meetings. Based on theoretical criteria, sequences of teacher talk which indicated potential for learning were selected for further analyses. These sequences were then coded with respect to what themes triggered this talk and what conversional routines were found.FindingsThe most frequent trigger of talk affording opportunities for learning was in relation to students and more specifically different needs of individual or subgroups of students. Didactic and purely curriculum-focussed issues triggered this kind of talk to a small degree. Conversional routines in the selected sequences concerned (1) taking a student perspective, (2) discussing impact on student learning behaviour and (3) generalizing (moving from specific accounts of classroom practice to general reflection on one's own practice).Originality/valueThis study aims to investigate what triggers and characterizes talk with learning potential in the lesson study work of teacher teams.


2008 ◽  
Vol 7 (2) ◽  
pp. 174-198 ◽  
Author(s):  
Tirza Bosma ◽  
Wilma C. M. Resing

This study was designed to investigate teachers’ opinions of and responses to reports and recommendations based on dynamic assessment or traditional assessment as part of a psychodiagnostic procedure. One hundred six typical first grade elementary school children participated, as well as their 18 teachers, distributed over an experimental, semi-control and control condition. Children were administered either a dynamic test (Learning Potential Test for Inductive Reasoning) or a static test (Raven’s Progressive Matrices). Teachers were observed and interviewed and asked to estimate the learning potential for each child, prior to assessment as well as after recommendations, to assess possible changes and determine their responses to the provided reports and recommendations. Results showed teachers’ appreciation for specific contents of the dynamic assessment reports (e.g., learning potential, need for and type of instruction). Teachers rated most recommendations as applicable and even changed some aspects of their teaching practices in response to recommendations; suggesting that dynamic assessment provides the tools to link assessment to teaching practice.


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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