Methods - Staff Survey

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• Staff survey (Word doc)

 

Designing the staff survey

The staff survey was designed to correspond where possible with the student survey, based on the factors identified by Collis and Moonen (2004) influencing the uptake and sustainability of software.

• Delivery and usage dimensions in relation to access, usability, usage patterns and preferences
• Effectiveness in relation to the type and quality of experiences offered by teachers and encountered by students
• The ability of the technology to engage students in the learning process; the nature of those engagements and the strengths and weaknesses of the technology in relation to the traditional lecturing experience
• The impact of the technology on the learning environment - the nature of the curriculum, communication and collaboration with fellow students and staff, and the development of learning communities.

The survey collected data on four specific areas in relation to lecturers and their use of WBLT:

1. the teaching and curriculum context, including details of delivery mode and discipline area.
2. their teaching perspective, using Prosser and Trigwell’s Approaches to Teaching Inventory (Trigwell & Prosser, 2004)
3. lecturers' purpose and methods of using WBLT in their teaching context
4. lecturers’ perceptions on the effect of WBLT use on lecture attendance and communication patterns between themselves and their students

Because the sample of lecturers was expected to be lower than students, more open ended questions were included to provide opportunities for comments about their experiences with WBLT.

The survey was delivered online using SurveyMaker.

 

Participants

A total of 676 academic teaching staff who had made use of WBLT were invited to participate in the survey and 155 responded from across the four universities.

The table below indicates the total number of staff invited to participate and total number of respondents from each University.

University	Total No of Invited Participants	Total No of Respondents*
Flinders	114	23
Macquarie	211	67
Murdoch	221	53
Newcastle	128	12
TOTAL	674	155

 

Analysis

The statistical package SPSS was used to undertake analysis of the quantitative data and the general descriptive data was supplemented by selective correlational analysis to further explore the data set. Factorial analysis, analysis of variance and regression analysis were used to further explore the relationships between the independent and dependent variables. A significance level of p> .005 was used for correlations throughout the study.

The Software package NVivo was used to analyse the qualitative data, with the data being classified and line coded in relation to emerging themes.

References

Collis and Moonen (2004) Flexible Learning in a Digital World, 2nd ed. Routledge and Falmer, London.

Trigwell, K., & Prosser, M. (2004). Development and Use of the Approaches to Teaching Inventory. Educational Psychology Review, 16(4), 409-424.

 

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