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What Program Directors can do to improve CEQ scores

Introduction

The quality of teaching at UniSA is highly valued because it results in better outcomes for our graduates. Measuring this quality is a complex process that takes place at the course, program, university, state and national levels. The processes involve multiple stakeholders, including students’ opinion of their experiences while studying at university.

The purpose of this guide is to:

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What is the CEQ?

The Course Experience Questionnaire (CEQ) is a national survey of teaching quality that commenced in 1993. Each year graduates from the previous year at all universities across Australia are invited to contribute to a questionnaire designed by the Graduate Careers Australia (GCA) about their experience in their program (CEQ) and their subsequent employment outcome (Graduate Destination Survey - GDS) . The survey is administered by Planning and Assurance Services for UniSA and collated by GCA.

Currently the CEQ portion of the questionnaire (PDF 95.7kb - download Adobe Acrobat) consists of 24 items that are grouped to produce learning experience scales measuring clear goals, good teaching, appropriate workload, generic skills, appropriate assessment and overall satisfaction.

While there are many debates about the validity of the CEQ, the reality is that the data gathered is used to rank universities across Australia in the Good Universities Guide. The analysis is very public and is promoted in various ways including the national and local media and in the marketing of universities. Consequently, taking an active and positive interest in the CEQ and its results are very important.

The University’s CEQ feedback is made available annually through Planning and Assurance Services. Also available in UniSAinfo Reporting are CEQ data from other universities with similar program profiles to ours. This allows Program Directors at UniSA to benchmark their program’s performance against others in comparable Field of Education (FOE).

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What does the CEQ measure?

The CEQ is based on research conducted by Ramsden (1991). He found that students, who took a ‘deep’ approach to their learning, learned more effectively and gave positive responses to the CEQ items. In contrast students who took ‘surface’ approaches to learning consistently gave negative responses to CEQ items.

The question framework of the CEQ is based around:

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What is the relationship between the CEQ, CEI and SET?

One of the main drawbacks of the CEQ is the time delay in the feedback. For example if a student was studying a 4 year program from 2001 to 2004; they would graduate and be surveyed for the CEQ in 2005. This data would become available in 2006.

To provide Program Directors and Course Coordinators at UniSA with timely feedback , the Course Evaluation Instrument (CEI) and Student Evaluation of Teaching (SET) surveys were developed with items that have relationships to the CEQ items.  The aim is to provide meaningful and timely insights into students’ current teaching and learning experiences.

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What types of CEQ data are available?

Current CEQ data is available through UniSAinfo reporting (UniSA Public Folder; section 7.0 Evaluation; 7.1 Course Experience Questionnaire). Results are progressively received and made available to staff each year. Typically, in November of the survey year we are able to access our own data, and in February of the subsequent year, national comparative data for benchmarking becomes available. PowerPlay Cubes are dynamic tables which, with training, you will be able to use to make sophisticated analysis of data. In PowerPlay web reports, the user makes selections to indicate a program, and a page of information is generated for printing.

Contact the Planning and Assurance Services web site for support accessing this data.

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How can I evaluate the quality of the available CEQ data?

Student feedback from CEQ items needs to be evaluated for quality before it can be can be used to improve teaching and learning. This involves:

How do response rates effect the data?

The higher the response rate, the more confidence you can have in the generalisations you are drawing from the information. Prior to 2004, if response rates are less than 10 then the CEQ data is not reported, unless it is trend data, then response rates below 5 are omitted. Extreme caution is required when interpreting data from programs with low response rates. If you want to look at strategies to improve response rates then please go to the resource on the left hand menu.

What is a mean score?

The mean score has been determined from the Likert data for each of the Learning Experience scales. The data from each of the CEQ items are collated into strongly agree, agree, neutral, disagree, strongly disagree and not applicable (no response) categories. Each response is converted to its numerical equivalent (SA=+100; A=+50; N=0; D=-50; SD=-100), totalled, and then divided by the number of responses to obtain a mean or average. A positive mean score indicates that more respondents agree with the scale than disagree. A negative mean score indicates that more respondents disagree with the scale than agree.

What is the agreement rate?

The agreement rate is useful for validating the strength of the data. The larger the agreement rate the more confident you can be when interpreting the mean score data. Care is required interpreting CEQ data that has a low agreement rate (indicating a significant percentage of respondents indicated neutral/undecided in response to the item).

How can I analyse CEQ free text responses?

Within UniSAinfo Reporting can be found CEQuery -a software program designed by Graduate Careers Australia to assist higher education in its analysis of graduates’ qualitative responses to the Course Experience Questionnaire (CEQ). The cube represents the frequency count of the ‘hits’ recorded against the dictionary for both ‘best aspects’ and ‘needs improvement’ comments collected in the CEQ. The cube can assist users to determine trends in graduates’ comments or to identify particular areas that record unusually high or low frequencies. To access this data contact Planning and Assurance Services.

How can I benchmark the program to other similar programs?

Students in some disciplines seem to be consistently more critical than in others. It has been argued that for this reason, the absolute CEQ score is only helpful when it is compared with CEQ data from groups of students from similar fields of study. For example, the CEQ of a Bachelor of Commerce program needs to be compared with other Bachelor of Commerce programs, not with the CEQ of, say, a Social Work program. By using the CEQ benchmarking tables it is possible to benchmark like against like, using either the national average, or a direct comparison to select institutions.

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References

Ramsden, P 1991, ‘A performance indicator of teaching quality in higher education: The course experience questionnaire’, Studies in Higher Education, vol. 16:, pp. 129-150.

Ramsden, P 1998, ‘Learning to lead in higher education’ Routledge, London..

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Implications of CEQ feedback for program direction

Choose one of the CEQ scales below to explore possible program directions. For each scale there is a description, a set of key questions for program directors and program teams, and some suggestions for change.

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Responding to the Clear Goals and Standard Scale

Description

This scale measures whether students perceive the aims, objectives and assessment processes of the course are expressed adequately. It determines whether students perceive a clear and consistent message about the requirements for success in the program.

Key questions for Program directors and program teams

Suggestions for change

Responding to the Good Teaching Scale

Description

This scale measures whether graduates perceived that they received useful qualitative feedback on their progress, and found that staff explained things effectively, made the program interesting, motivated students, and attempted to understand students’ problems. It is very much about the relationship between the teacher (course coordinator and/or tutor) and the learner.

Key questions for Program directors and program teams

Suggestions for change

Responding to the Appropriate Workload Scale

Description

This scale measures whether graduates perceive that the workload in the program was manageable and allowed them enough time to understand what they were learning.

Key questions for Program directors and program teams

Suggestions for change

Responding to the Generic Skills Scale

Description

This scale measures whether graduates perceive that the program has helped them develop problem-solving skills, including confidence with unfamiliar problems; analytic and communication skills; the ability to work as a team member; and the ability to plan their own work.

Key questions for Program directors and program teams

Suggestions for change

Responding to the Appropriate assessment Scale

Description

This scale measures whether graduates perceive that assessment focuses on understanding, not just recall of information. Courses that contain too much content force students to adopt surface learning strategies to cope.

Key questions for Program directors and program teams

Suggestions for change

Responding to the Overall Satisfaction item

Description

This item measures whether graduates perceive that other factors that impact on the learning experience have been optimised

Key questions for Program directors and program teams

Suggestions for change

 

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