In order to validate the use of the wiki as a tool sitaable for Teaching & Learning I want to survey the users of the wiki. Developing a questionnaire that asks the right questions without bias is a careful process and has to have questions that are phrased correctly and that reveal the desired results. This is a wiki attempt to develop a robust questionnaire using crowd-sourcing!
The research question(s)
To provide a context for the individual questions, overall an research question or questions need to be established. For this research the following are the research question(s)
My origianl PhD question was
What features are important in a framework to acquire contextualized information and knowledge that may exist in a variety of data types, at source in a teaching and learning environment?”
with the following problem statements
Problem statements were developed covering four areas and were the focus of the prototypes that led to the development of the virtualMe framework. These can be summarized in the following points:
- Overall framework: As stated previously, “what features are desirable in a generalized framework that allow for the acquisition, management and sharing of an individual’s information and knowledge in an educational environment?”
- Annotation framework: “Can a framework be developed that allows other people to add information and knowledge that will benefit all users of the system?”
- Resource acquisition, management and sharing at source: “Can a model be developed that has the ability to retain context while transferring the content from one person to another and from one place to another?”
- Teaching and Learning: “Does the proposed framework provide additional benefits that are not available in current teaching and learning environments?”
(Feel free to add your own - with: justification/reason why this question is important/what you hope to find/ etc..)
These questions are based on those in my initial PhD survey and will allow me to compare the participant data also. A full copy of the PhD and survey is held in the Massey Library PhD Thesis repository.
1. Please indicate if you are a student in one of Michael's classes or are working closely with him (As an example, someone working closely would be in Info Technology at EIT or a Massey Supervisor). Comment: This question ensures that there is no direct relationship which could influence how the survey is to be filled out. For example, a Lecturer/student power relationship, or colleague/colleague
- A student of Michael
- Closely work with Michael
2. Please indicate how you have interacted with virtualMe. If other please specify :
Note: In order to complete this survey it is necessary that you have at least examined the online virtualMe/wiki system.
Click on the following link to access the site if you have not... http://www.virtualMV.com/wiki
Comment: This question identifies the extent to which a user has been exposed to the system. A person who has “used” the system will have a deeper understanding and therefore should be able to provide more detailed and informed feedback.
- Seen a demonstration
3. Please indicate to which group you belong (Please check all that apply.)If other please specify :
Comment: This identifies the type of user and therefore their interest bias. For example an educator would look to the system from a presentation view and how content is disseminated, a student from a content delivery view and a visitor from an interest view.
4. Please indicate your level of computing confidence
- A novice would rarely use a computer, maybe to clear emails or use a word processor or equivalent
- An ok user is happy working on a computer but seeks help when needed
- A confident user would be able to use a computer managing files, downloading from the internet and using a variety of applications
- A proficient user would be able to happy to provide assistance to others
- An expert would create software, and would be considered a power user.
Comment: This will identify the user level and identify whether comments made are with prior knowledge or based on the experience with the system.
- 1 Novice
- 2 Ok
- 3 Confident
- 4 Proficient
- 5 Expert
5. What is the highest qualification that you have or are studying for? If you are not sure what to choose, use other and please describe.
Comment: As this project is set in an education context, it is important to identify what level of education the participant has.
- Non Tertiary
6. Identify the main domain you study/work in (For a student what area you are studying, for a lecturer your main teaching area)? For example, Information Technology (IT), Science, Arts, Health, Trades, …
___________________________________________ Comment: This will identify if there is any domain bias, and to determine how wide a range of domains the survey covered.
7. What age range are you in?
Comment: There is much discussion regarding the technological capabilities of younger students who have grown up with technology. This question considers what age band the respondent is in and may be used to see if there is any age bias in the survey.
- < 20
- 60 >
8. Are you male or female?
Comment: It is often quoted that females are more capable of multi-tasking and prefer socio-constructivist modes of learning. This question allows this bias to be explored.
9. Please indicate which country you are a citizen of ( if more than one choose which you identify most with, and add a comment if you wish).
Comment: This question is asked to ensure that there is not a local bias and to ascertain whether there is a variation between local and international feedback. It is intended that the survey participants will be both local (New Zealand) and international. This question will allow the geographical spread of respondents’ to be determined.
10. What type(s) of personal web presence do you have? (Please check all that apply.) If other please specify :
Comment: This is to determine whether the person has had hands-on exposure to a personal web presence.
- MSN spaces
- Personal Web
- Facebook (added)
- Twitter (added)
TAM based questions
The following questions are based on the TAM model. TAM has proven to be a reasonably accurate predictor of both users’ intentions and the system usage and is centred on two primary belief constructs: ease of use and perceived usefulness.