scholarly journals Exploring the impact of changes in my practice on one pupil’s learning in mathematics. Joseph – A case study

2018 ◽  
Vol 6 (1) ◽  
pp. 143-160
Author(s):  
Anne T. Mulligan
Keyword(s):  
Comparative Analysis ◽  
Problem Solving ◽  
Qualitative Methods ◽  
Collaborative Problem Solving ◽  
Theory Approach ◽  
Collaborative Problem ◽  
Research Questions ◽  
The Impact ◽  
Grounded Theory Approach

This case study emerged from Action Research involving Year 2 pupils. The purpose of the research was to examine the effect that changing my practice had on my pupils’ learning in mathematics. I focused on Joseph, a higher attaining pupil and explored how his behaviour changed as I began to change aspects of my teaching. My research questions focused on tasks I provided for pupils, strategies they used to find solutions and my use of questioning to challenge their thinking. The data came from lesson observations, transcripts, samples of pupils’ work and notes from my research diary. Qualitative methods such as theme and comparative analysis were employed to analyse the data using a grounded theory approach. This case study does not claim that because one pupil experienced these changes they were experienced by all. It shows the changes that are possible when an environment of collaborative problem solving is created.

Evaluating the Learning Effectiveness of Collaborative Problem Solving in Computer-Mediated Settings

2009 ◽  
pp. 151-167
Author(s):  
Ourania Petropoulou ◽  
Georgia Lazakidou ◽  
Symeon Retalis ◽  
Charalambos Vrasidas
Keyword(s):  
Problem Solving ◽  
Learning Environments ◽  
Evaluation Process ◽  
Collaborative Problem Solving ◽  
Learning Effectiveness ◽  
Computer Supported Collaborative Learning ◽  
Collaborative Problem ◽  
Problem Solving Environments ◽  
Computer Mediated

here is a growing need for systematic evaluations of computer-supported collaborative learning environments. The present chapter focuses on the evaluation of the learning effectiveness of the interactions that take place in computer-supported problem solving environments. This chapter emphasizes the need for supporting evaluators of such environments with holistic evaluation conceptual frameworks and tools that can facilitate the analysis of data gathered during the evaluation process. We discuss in detail such a holistic framework which has been tested through a primary education case-study.

Assessing the Performance of Learners Engaged in Computer-Supported Collaborative Problem-Solving Activities

2011 ◽  
pp. 245-260
Author(s):  
Symeon Retalis ◽  
Ourania Petropoulou ◽  
Georgia Lazakidou
Keyword(s):  
Problem Solving ◽  
Performance Assessment ◽  
Collaborative Problem Solving ◽  
Process Assessment ◽  
Computer Supported Collaborative Learning ◽  
Exploratory Case Study ◽  
Collaborative Problem ◽  
Depth Analysis ◽  
Tools And Techniques

Teachers often utilise a Computer-Supported Collaborative Learning (CSCL) strategy to teach a concept, a method, a problem, and so forth. Following guidelines from a script (based on a CSCL strategy), they must ultimately assess their students’ performance during their engagement in various learning activities; however, content and process assessments differ from script to script. Thus, a teacher faces a serious problem during content and process assessment. Here, the authors present a holistic framework for performance assessment and specify indexes for it. The authors aim to facilitate the teacher/evaluator’s work by equipping him or her with easy-to-apply tools and techniques for in-depth analysis of interactions. Finally, they describe our application of the proposed framework in an exploratory case study of a problem-solving activity in which a complex collaborative strategy is applied.

Assessing the Success of an Industrial Cluster

2012 ◽  
Vol 3 (3) ◽  
pp. 21-36 ◽  
Author(s):  
Neil Reid ◽  
Bruce W. Smith
Keyword(s):  
Problem Solving ◽  
Development Strategy ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Collaborative Problem Solving ◽  
Energy Costs ◽  
Collaborative Problem ◽  
Regional Development Strategy ◽  
The Impact ◽  
Reducing Energy

Industrial clusters have received considerable attention as a regional development strategy. While their efficacy has been debated by academics, clusters have become popular among practitioners. Despite clusters’ acceptance, there have been few attempts to measure their success or their impact on constituent firms. This paper outlines and discusses the metrics developed to evaluate the success of the northwest Ohio greenhouse cluster. The cluster was launched in 2004 to help the industry become more competitive though collaborative problem solving. In identifying success metrics, the authors were cognizant of the fact that they had to reflect the cluster’s objectives and goals. Thus metrics that measured the impact of branding and marketing efforts, reducing energy costs, and increasing collaboration among cluster stakeholders were developed. The work reported in this paper is only the beginning phases of a longer-term, on-going effort to track the progress and success of the northwest Ohio greenhouse cluster.

Questions About I-O Psychology's Future

2015 ◽  
Vol 8 (2) ◽  
pp. 269-276 ◽  
Author(s):  
Neil Morelli ◽  
A. James Illingworth ◽  
Charles Handler
Keyword(s):  
Problem Solving ◽  
21St Century ◽  
New Technologies ◽  
Complex Problem ◽  
Collaborative Problem Solving ◽  
Complex Problem Solving ◽  
Research And Practice ◽  
Collaborative Problem ◽  
The Future ◽  
Research Questions

We find Neubert, Mainert, Kretzschmar, and Greiff's (2015) article to be worth discussing and embracing because it represents not only a pragmatic offering of two important constructs for 21st century work but also an important opportunity for industrial–organizational (I-O) scholars and practitioners to consider several questions related to the future of I-O psychology. Neubert et al. correctly identified the broad trends that are influencing the economic environment that we live in and made a compelling argument that I-O psychologists should join other researchers and policymakers from ancillary fields to identify and measure the unique competencies and skills that will determine success in the future of work. In our own research on new technologies and their use in talent assessment and selection (e.g., mobile device testing), we have often considered other future-related research questions, and we would like to offer them here as a supplement to this discussion in the hopes that it might spur further forward-thinking conversation, research, and practice. Below we offer five additional themes to organize the questions that we believe are important to consider as I-O psychologists evaluate the merits and uses of 21st century skills such as complex problem solving and collaborative problem solving (CPS and ColPS).

Sign in / Sign up

Export Citation Format

Share Document