Evaluate issues
for the core activity, the Spreadsheet related to short-term outcomes (logic model)
Issue 1: How easy is it for students to use the materials?
Short-term outcome 1
goal: Students know where to find the NYU Brooklyn resources they need to do the things they want to do.
Objective: Students will be able to navigate and organize the resources that they need.
Issue 2: To what extent do students feel beneficial/engaged/motivated to interact with the learning materials we’ve designed for them?
Short-term outcome 2/3
goal: Students know what sorts of resources NYU Brooklyn has to offer.
goal: Students understand the value of interdisciplinary collaboration.
Objective: Students will be able to examine and evaluate the interdisciplinary nature of their own learning experiences.
Evaluate issues
for the core activity, the Spreadsheet related to short-term outcomes (logic model)
Issue 1: How easy is it for students to use the materials?
Short-term outcome 1
goal: Students know where to find the NYU Brooklyn resources they need to do the things they want to do.
Objective: Students will be able to navigate and organize the resources that they need.
Issue 2: To what extent do students feel beneficial/engaged/motivated to interact with the learning materials we’ve designed for them?
Short-term outcome 2/3
goal: Students know what sorts of resources NYU Brooklyn has to offer.
goal: Students understand the value of interdisciplinary collaboration.
Objective: Students will be able to examine and evaluate the interdisciplinary nature of their own learning experiences.
Participants - Students on the Brooklyn campus / potential workshop participants
N=2 students; an ECT graduate student and an IDM undergraduate student
Description of the instruction being evaluated
The main instructions of the Spreadsheet introduction have three steps:
Introduction to Resource Categories
Spreadsheet Navigation and Data Entry
Resource Identification
Usability testing
The methodology is delineated into four distinct tasks to measure user performance and better understand and empathize with our users:
Account creation
Spreadsheet duplication
Chart fill-in
Find project-related resources using a filter
Evaluation Methodology
Associated methods and rationale
Interviews
Provide rich qualitative insights into participants' experiences, preferences, and perceptions, complementing the quantitative data collected through observational methods.
Usability Testing
Participants are asked to perform tasks while observers watch and take notes in a user observation form, providing insights for user interactions with a spreadsheet template.
Participants
N=2 students; an ECT graduate student and an IDM undergraduate student
Instruments & Study Design
Study Design
Workshop about NYU resources where they track their resources in a spreadsheet. In workshop, students will create a notion account, duplicate the spreadsheet, and add information to the spreadsheet
Construct: Level of satisfaction amongst users
Measures: Task Success Rate (completion), Error Rate (wrong clicks), Utterances (valence, keywords/quotes, locus)
Instruments: User Observations, Audio Recordings
Users have four tasks
Create a notion account
Duplicate spreadsheet template into own account (link provided to users)
Provide users with two NYU resources (websites) and ask them to put relevant information into a spreadsheet.
Find project-related resources using a filter.
Data Collection
User observation form, recordings, e-documents, Notion website
Quantitative
User observations: Evaluating success in task completion. Wrong clicks/navigation. Utterance sentiments.
Qualitative
User observations: Unprompted utterances with keywords.
Data Analysis
Task Analysis
Successful task completion rates
Errors/deviance rates. Identify locus point of errors and make modifications.
Qualitative Analysis
Grounded open coding of utterances (keywords)
Quantitative Analysis
Nominally code observations and use descriptive statistics, frequencies, and co-occurrences
Evaluation Results
Analysis and method:
Task Analysis:
Break down the spreadsheet tasks into smaller steps
Analyze efficiency and effectiveness of each step
Identify areas of interest and pain points in spreadsheet interface
Qualitative Analysis:
Review data from observations, interview transcripts, and open-ended survey responses
Grounded coding for data according to frustrations expressed
Identify recurring themes, issues, and user feedback
Quantitative Analysis:
Co-occurrence analysis: Location Marker x Error x Utterance Valence
Use to help identify areas of interest and pain points
Findings:
High Task Success Rate (100%) - Spreadsheet is intuitive - Task Analysis
Fulfills short-term outcome of students being able to identify and track resources and related information
Participants displayed a high level of engagement interacting with learning materials - Quantitative Analysis
Achieves short-term outcome we set of students understanding the value of interdisciplinary collaboration, navigating, and organizing resources
One participant double checked sources and modified accordingly after expressing uncertainty about putting information into proper box
Another participant described why they sorted categories from low to high priority.
Participants self-reflected, strategized/critically thought while using the filters and sorting mechanics for interdisciplinary resources within spreadsheet - Qualitative Analysis
Met short-term outcome of students' ability to examine and evaluate the interdisciplinary nature of their own learning experiences.
One participant picked out several resources she thought would benefit her, e.g., maker space, library, and VIP. She said she did similar things by herself, and it would be better if she had found a spreadsheet like that when she entered the university as a freshman.
Another participant proposed that she’s looking for internship opportunities and likes that we mentioned Handshake.
References
Wickens, C. D., Hollands, J. G., Banbury, S., & Parasuraman, R. (2015). Engineering psychology and human performance. Psychology Press.
Preece, J., Rogers, Y., & Sharp, H. (2015). Interaction design: Beyond human-computer interaction. John Wiley & Sons.
Dix, A., Finlay, J., Abowd, G., & Beale, R. (2004). Human-computer interaction. Prentice Hall.
Kirakowski, J., & Corbett, M. (1993). Summative usability testing of software: some practical advice. In CHI'93 Conference on Human Factors in Computing Systems (pp. 23-26).
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative data analysis: A methods sourcebook. Sage Publications.
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
Patton, M. Q. (2015). Qualitative research & evaluation methods: Integrating theory and practice. Sage Publications.