Making Research Available: Publishing data sources online


Project code:  EDU003

Supervisor

Gavin Brown

Research projects (i.e., Measuring Teachers Assessment Practices, Conceptions of Assessment & Feedback, and Teacher/Student Conceptions of Assessment) have generated many research outputs and requests for access to the underlying inventories, analytic models, and data files. The University provides a digital mechanism (i.e., figshare.com) for making public such research artefacts. There is an increasing expectation that access to original data sources is necessary. This project involves preparing and uploading research materials, specifically, (1) develop metadata categorisation and codebooks, (2) prepare objects to ensure confidentiality, (3) design file structure within FigShare, (4) disseminate information about repository through social media (e.g., LinkedIn, ResearchGate, Academia.edu, etc.), and (5) monitor preliminary impact. The scholar will also create a guidebook for EDSW academics as to how their digital research can be disseminated and a preliminary analysis of effectiveness.

Quality Talk: Investigating secondary students use of critical and logical thinking when talking and writing


Project code:  EDU004

Supervisor

Dr Maree Davies

This scholarship would best suit someone who is interested in secondary aged students and who has an interest in critical thinking.  The student will engage in a literature review that would complement this project and could potentially result in a joint publication.   The student would learn how to use refworks, learn how to search literature and then how to combine theory and data into a publishable study.  A person with strong writing skills would be desirable.

The Experiences of Talented Undergraduate Students


The summer scholar will complete in-depth searches for literature that will anchor future publications from our research into talented, high-achieving undergraduates at our faculty. We carried out the third phase of this project in 2014 in which we collaborated with Waikato and Massey Universities. We have 24 in-depth interviews that formed the qualitative data. The interviews have been transcribed and coded. In semester 2, we will analyse our data, and once we have a literature base, we can begin to write articles for publication. Our summer scholar will ideally have a GPA of above 7 and will be required to work independently. A proven ability to search data-bases and to write up findings in a scholarly style are preferred; alternatively, our scholar will need to be an enthusiastic, passionate learner.

Discipline Based differences in Motivation and Approaches to Learning


Project code:  EDU016

Supervisor

Richard Hamilton

This research focuses on the relationship between university students’ discipline, approaches to learning, motivational orientation, prior academic success, and local achievement (course performance) in order to better understand the potential interaction of cognitive and experiential factors on students’ learning and performance.  This is an ongoing research project in which I am continually updating existing data sets with newly collected data.

The scholar would be expected to help and be involved in the data analysis of large data files (300+). The scholar must have some basic knowledge of SPSS software and be willing do some data coding, categorisation, and entry and coding. Good literature search skills in order to identify and collate relevant research articles.

Conditions for learning to teach for equity


Project code:  EDU023

Supervisor

  • Mary Hill
  • Fiona Ell
  • Lexie Grudnoff
  • Mavis Haigh

The purpose of this project is to collect data within the Rethinking Initial teacher Education project.  A summer scholar would assist us to collect and record rich data regarding learning conditions for teacher candidates during summer school in January 2017. The summer scholar will carry out the data collection under our supervision, including video and audio recordings, in the week of 16-20 January. The scholar would also be involved in data collection preparation (in December and early January), data cleaning, and organising the data for analysis. Familiarity with recording equipment, interviewing skills, and attention to detail in data management would be an advantage for this role.