Industry and Academia
Collaborative Learning
The CSULB and ISSIP
AI COLLAB
Pilot Program
CSULB and ISSIP AI COLLAB Pilot Program California State University, Long Beach
Debra Satterfield and Jen-Mei Chang
California State University, Long Beach
CSULB Design Department
●54% undergrads are first-generation college
●72% receive financial aid, 50% Pell-eligible
●Roughly 600 undergraduate students
majoring in experiential graphic design,
Interior architecture, and industrial design
ISSIP.org
●ISSIP is a professional organization that
promotes and recognizes service innovation
●AI COLLAB is a program that works with
academic institutions to engage students in
service innovation
●ISSIP offers digital badges and credentials
Who we are
https://web.csulb.edu/divisions/urd/beachfacts/
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
High Impact Practices (HIPPs)
●Incorporated into first year experiences
●Enhances Student Engagement
●Allows for career exploration, social
integration, and identity exploration
●Has positive outcomes for upper division and
transfer students
Industry Collaborations
●Encourage Student Engagement
●Active problem-solving and teamwork
●Engage students with industry professionals
High Impact Practices and
Industry Collaboration
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
Extensive research proves that high-impact practices
increase student engagement, success and retention
●Focus on closing achievement gaps given our student population
●High-Impact Practices
■Learning Communities
■Experiential Learning
■Portfolio or capstone
■Internships
●Connection/Service to Local Community
●Sense of Belonging - Connect with Diverse Identities
●Highlighting Available Resources
Strategies to Increase Student
Success and Retention
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
Three projects were completed for ISSIP:
●Data analysis of the member survey;
●Analysis of the ISSIP website
●Harms and benefits analysis of historic
service systems and product innovations.
ISSIP member survey project
●CITI human subject research certification
●Outlining “Service in the AI Era” by J. Spohrer
●ISSIP professional Interviews
●Analyzing, scrubbing, and coding ISSIP “Tech
for Good” mixed-method member survey
and preparing whitepaper report
PR1: ISSIP Member
Survey Analysis
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
The data was coded by student teams:
●Coded data using grounded theory;
●Created a data summary with the list of
their codes and common themes;
●Made overall summary statements;
●Identified linkages between codes;
●Pulled quotes from respondents; and
●Related information to the interviews and
book analysis data.
PR1: Survey Codes and Summary
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
DATA Summary
The survey analysis, encompassing 41 responses, offers a nuanced perspective on the impact of AI and
innovation on human society. It reveals a balanced split in respondents' sentiments, with 18 respondents
highlighting the benefits of AI and 13 expressing concerns about the harms. Beyond this binary division,
the analysis unveiled multifaceted themes which encompassed the technological, social, medical, and
environmental dimensions. This ultimately aided in underscoring the intricate relationship between AI,
innovation, and our lives. These findings reflect a diverse range of feelings and perspectives among the
respondents, mirroring the complex and evolving nature of society's relationship with AI and innovation.
PR1: Executive Summary
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
Data Summary
Optimistic (n=14): Projects a positive outlook
towards new technologies and innovations
effect on the world in the future.
Neutral (n=7): Saw both sides of the potential
of tech for good or for harm
Cautious (n=14): Had a negative outlook or
wanted people to be careful in the future
Actionable data (n=15): Suggested ideas on
what actions people should take, such as
enforcing laws or regulations.
Overall Summary
The responses indicate that the respondents
are almost evenly split, with 14 responses
having a position that has an optimistic view
of tech for the future and 14 having a cautious
view, raising their concerns. Five responses
expressed having a neutral outlook. Fifteen
responses named ways and actions that
could help promote safe, ethical ways of
dealing with technology, such as creating
responsible entities learning centers or
promoting enactment of human agency.
In conclusion, the respondents expressed
having mixed views towards the idea of
"Tech for Good'.
Project 2 Goals
●Conduct UX analysis of content,
messages, and usability of
issip.org;
●Conduct ISSIP member surveys;
●Create a timeline of three
sprints aligned with UX industry
standards for the project.
PR2: ISSIP Website Analysis
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
PR2: Client Presentations
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
Project 2 HIPPs
●Conduct SME client
interviews;
●Benchmark with industry-
standard web sites;
●Create user stories and flow
diagrams;
●Present 1-3
recommendations for
improving the ISSIP user web
experience and prepare a
client presentation.
Project 3 Goals were to analyze and use
generative AI to create informative content
for the ISSIP web site:
●Create a project timeline with 3 two-week
sprints;
●SPRINT 1- Write and create content for the
report on the problem, explanations, and
recommendations;
●SPRINT 2- Create a timeline of three
sprints aligned with UX industry standards
for the project.
●SPRINT 3- Design a final layout of the
report with a clear style for the
presentation.
PR3: Service Systems Harms
and Benefits Analysis
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
PR3: Generative AI Research
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
PR3: Historical Service Systems
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
The Faculty Formative Feedback Program
(FFFP) was used to give the instructor
immediate feedback for improvement during
the course including:
●Instructor is paired with a faculty partner for
mentorship;
●Teaching philosophy and course learning
objectives are analyzed;
●Course observation by a trained educator;
●Student engagement survey conducted;
●Survey data debriefing with mentor to
identify patterns or strengths/weaknesses;
●Mid-course corrections identified and
discussed with the mentor.
Course Evaluation: FFFP Process
California State University, Long BeachCSULB and ISSIP AI COLLAB Pilot Program
ISSIP AI COLLAB course achieved:
●Engaged students in a virtual internship
experience with industry professionals;
●Exposed students to industry-standard UX
processes and professional mentors;
●Incorporated HIPPs including interviews,
professional networking, and real-world
problem-solving.
Conclusions and Implications
California State University, Long Beach
FFFP evaluation provided:
●faculty partner for mentorship;
●Teaching philosophy and course learning
objectives analyzed for best practices;
●Mid-course corrections identified and
implemented.
CSULB and ISSIP AI COLLAB Pilot Program