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UX Research Case Study

Adults with ADHD Engaging with
Online Learning Platforms

How does the design of online learning platforms shape the experience of adult learners with attention‑deficit/hyperactivity disorder?

Project presentation.
Role
UX Researcher
Team
Solo
Duration
6 Months

Goals

  • Fill the UX research gap on adults with ADHD and online learning
  • Investigate experiences engaging with online learning platforms
  • Translate into inclusive design considerations for online learning platforms

Background

Prevalence

Estimated ADHD diagnoses in USA (2023)

  • 7‑18% all children
  • 4‑4.5% all adults

However,

  • ADHD is a lifespan neurological disorder
  • Not simply outgrown with age
  • 60‑80% of ADHD symptoms continue into adulthood

ADHD Symptoms

  • Inattention, impulsivity, hyperactivity

In adults, this looks like:

  • Disorganization and problems prioritizing
  • Poor time management skills
  • Problems focusing on a task
  • Trouble multitasking
  • Excessive activity or restlessness
  • Poor planning
  • Low frustration tolerance
  • Frequent mood swings/hot temper
  • Problems following through/completing tasks
  • Trouble coping with stress

Online Learning

  • Growing in popularity since 2010, but especially due to the COVID‑19 pandemic
  • Over 10 million online college students (NCES 2022)
  • 90% of companies offer employee's online learning/training (LinkedIn 2018)
  • 22 million American Coursera users (2023)

Methodology

The project moved through four stages, each one feeding the next.

  1. Literature Review
  2. User Interviews
  3. Affinity Mapping
  4. Design Considerations

Step 01

Literature Review

To start my research, I looked to existing publications that might offer insight into my research question. Below is a recap of some of the most relevant work to my project, however, I failed to find a resource that studied the same intersectionality of adult ADHD and online learning.

Relevant publications reviewed, with the strengths and gaps of each
Title / Author(s) / Year Pros Cons
Online Higher Education for Nontraditional Adult Students: Best Cases of Public Universities (Kim et al 2018)
  • Provides insights into effective online learning experiences for older adults
  • Does not include student perspectives
  • Does not address ADHD
  • Does not explore the actual online learning system design
Learning to Teach Students with Attention Deficit Hyperactivity Disorder: Training Experiences for Teachers (Cretu 2018)
  • Defined best practices for teaching students with ADHD
  • Focuses on primary/secondary school ages
  • Insights spoke more to ADHD perceptions than to success metrics of the module
Investigating Current State-of-The-Art Applications of Supportive Technologies for Individuals with ADHD (Husain 2020)
  • Identified publications on recent ADHD supportive technologies
  • 0 papers focused directly on online learning platforms

Step 02

User Interviews

Semi-Structured Interview Protocol

Call opening

  1. Greet and thank participant for joining
  2. Request permission to record
  3. Review purpose of research
  4. Provide housekeeping reminders (informed consent/research participant rights)
  5. Ask participant if they have any questions and answer accordingly

Interview questions

  1. I'd like you to begin by telling me a little about yourself as a student and how you used online learning platforms?
  2. Could you describe your current relationship with education?
  3. Can you talk about the online learning platform you are currently/recently using and your experience with that?
    1. How does that compare to a course you had that did not use a learning platform or that was different in some meaningful way?
  4. Which features of [the online learning platform] have had a positive impact on your learning?
  5. Conversely, which features of [the online learning platform] had a negative impact on your learning?
  6. What could or should online learning platforms do differently in the future to make online learning work better for adults with ADHD?
  7. What haven't I asked you today that you think would be valuable for me to know?

Recruitment

  • Requirements:
    • 18 years or older
    • Has ADHD/ADD
    • Uses/used an online learning platform
    • Resides in the USA
  • Recruited via personal Facebook, Instagram, LinkedIn, Reddit accounts.
  • Participants filled out a Research Participant Interest Form virtually, confirming they:
    • Meet the above requirements
    • Reviewed the informed consent and wish to continue
    • Have availability to meet during timeframe interviews were being conducted
  • 7 total interviews were scheduled and conducted via Zoom on a rolling basis

Participant Overview

Overview of the seven participants by program type, class modality, delivery and platforms used
# Program Type with Online Learning Class Modality Synchronous / Asynchronous Online Platform(s) Used
3 Graduate Degree In Person Synchronous BlackBoard
5 Professional Certification Virtual Asynchronous Kaplan Financial Education
6 Undergraduate & Graduate Degrees In Person Synchronous
  • BlackBoard
  • Coursera
  • Workday
7 Undergraduate Degree Hybrid Both BlackBoard
8 Graduate Degree In Person Synchronous
  • Canvas
  • Studicata
  • Barbi
  • Quimbee
  • Lex Plug
9 Undergraduate & Graduate Degrees
  • Hybrid
  • Virtual
All synchronous except for 1 course
  • BlackBoard
  • Bright Space
10 Undergraduate & Graduate Degrees Hybrid (both) Synchronous
  • BlackBoard
  • Canvas

Step 03

Affinity Mapping

Using Dovetail, transcripts were reduced to notes, then clustered bottom‑up across five passes until stable themes emerged.

  1. 1

    Transcribe

    Every session transcribed in full and stripped of identifying detail.

  2. 2

    Extract

    Individual observations pulled onto discrete notes, one idea per note.

  3. 3

    Cluster

    Notes grouped by similarity without predetermined categories.

  4. 4

    Label

    Each cluster named, split or merged as the grouping settled.

  5. 5

    Synthesise

    Themes translated into the design considerations below.

Transcript view in Dovetail. Timestamped lines of a session with Participant 5 are highlighted, and each highlight carries a tag in the margin: the line about having been in college but leaving is tagged drop out, and the lines about an opportunity working for a parent and needing an online course for a certificate are tagged education for career opportunity.
Tagging highlights directly on the transcripts.
Tag groups with counts: Misc 3, Feelings 24, Consequences 12, Benefits 15, System Requirements 79, Detractors 19, ADHD 33, and Student descriptions 13. Each group lists its tags with their own frequencies, such as continued access to materials 15, video recording 11, executive function 12 and inconsistency 6.
Tags clustered into groups, with frequency counts across all sessions.
The Feelings group opened into five columns: Relationship (neg) with 4 tags including education hesitation and bad at school; Relationship (pos) with 5 including values education and excited to learn; Online learning (general) with 5 including isolating, frustration and inequity; School anxiety with 3 including anxious, overwhelming and stressful; and Being unmotivated with 6 including chore to study, burden and physically difficult.
Drilling into one group, here the feelings participants expressed about education.

Final Categories

Seven categories emerged from the clustering, each holding its own set of sub‑categories.

Final affinity mapping categories and the sub-categories within each
Category Sub-categories
Feelings about their…
  • Relationship to education (negative)
  • Relationship to education (positive)
  • Online learning experiences
  • School anxiety
  • Lack of motivation
System requirements
  • Provide insights to students
  • Offer diverse modes/activities
  • Create manageable structure
  • Gamify interactions
  • Reduce distractions
  • Enable connection
  • Provide access to materials
  • Help time management
Consequences
  • No sense of accountability
  • Wait until the last minute
  • Negative impact to grades
  • Teacher discipline
Benefits
  • Improved evaluative metrics
  • Fostered effective learning conditions
  • Enhanced mental wellness
Detractors
  • Poor organization
  • Technical glitches
  • Non-value add work
  • Lack of structure
  • Communication barriers
How ADHD manifests
  • Trouble with time management
  • Executive dysfunction
  • Disorganization
  • Physical stimming
  • Easily lose interest in things
  • Difficulties paying attention
  • Need an incentive for motivation
Student descriptions
  • What helped them
  • Purpose for pursuing education
  • Learning style
  • Type of student (positive)
  • Type of student (negative)

Step 04

Design Considerations

Eight considerations for teams building and or researching learning products, based on participant insight.

Discussion

Limitations

  • Only 7 participants
  • Did not collect demographic information
  • Did not collect medical information (besides diagnosis)
  • Use of online learning platforms varied from fully‑dependent (fully virtual) to augmented use (in person but used for submitting assignments)

Takeaways

  • Additional research and methods are needed to make design considerations more concrete.
  • Many of these design considerations would be helpful for online students beyond the adult ADHD audience.
  • Generative AI could help make a lot of these “modalities” / customizations possible.
  • Improving the accessibility design of online learning platforms to include adults with ADHD will help reduce potential hesitations towards enrolling by providing a more equitable educational environment which will hopefully lead to more completed programs and success stories for this population.

References

  1. Cretu, Daniela-Maria. “Learning to Teach Students With Attention Deficit Hyperactivity Disorder: Training Experiences for Teachers.” Handbook of Research on Student-Centered Strategies in Online Adult Learning Environments, IGI Global, 2018, pp. 319–38, https://doi.org/10.4018/978-1-5225-5085-3.ch015.
  2. Daley, D., and Birchwood, J. (2010). ADHD and academic performance: why does ADHD impact on academic performance and what can be done to support ADHD children in the classroom? Child: Care, Health and Development, 36: 455–464. https://doi.org/10.1111/j.1365-2214.2009.01046.x.
  3. Fitzgerald, Carlton J., et al. Handbook of Research on Student-Centered Strategies in Online Adult Learning Environments. IGI Global, 2018, https://doi.org/10.4018/978-1-5225-5085-3.
  4. Husain, Fatemah. Investigating Current State-of-The-Art Applications of Supportive Technologies for Individuals with ADHD. 2020, https://doi.org/10.48550/arxiv.2005.09993.
  5. Kim, Junghwan, Heh Youn Shin, Kim L. Smith, and Jihee Hwang. “Online Higher Education for Nontraditional Adult Students: Best Cases of Public Universities.” Handbook of Research on Student-Centered Strategies in Online Adult Learning Environments, IGI Global, 2018, pp. 221–40, https://doi.org/10.4018/978-1-5225-5085-3.ch011.
  6. Majarwitz, Daniel J., and Parvathi Perumareddi. “Attention-Deficit/Hyperactivity Disorder Across the Spectrum: From Childhood to Adulthood.” Primary Care, vol. 50, no. 1, 2023, pp. 21–36, https://doi.org/10.1016/j.pop.2022.10.004.
  7. National Center for Education Statistics. (2022). Undergraduate Enrollment. Condition of Education. U.S. Department of Education, Institute of Education Sciences. Retrieved May 31, 2022, from https://nces.ed.gov/programs/coe/indicator/cha.
  8. Nielsen, Jakob. “Enhancing the Explanatory Power of Usability Heuristics.” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 1994, pp. 152–58, https://doi.org/10.1145/191666.191729.
  9. Sonne, T., Marshall, P., Obel, C., Thomsen, P. H., and Gronbaek, K. (2016). An assistive technology design framework for ADHD. In Proceedings of the 28th Australian Conference on Computer-Human Interaction (OzCHI ’16), 60–70. https://doi.org/10.1145/3010915.3010925.
  10. Ulberstad, Fredrik, et al. “Objective Measurement of Attention Deficit Hyperactivity Disorder Symptoms Outside the Clinic Using the QbCheck: Reliability and Validity.” International Journal of Methods in Psychiatric Research, vol. 29, no. 2, 2020, p. e1822–n/a, https://doi.org/10.1002/mpr.1822.
  11. U.S. Department of Education, National Center for Education Statistics (2022). Impact of the Coronavirus (COVID-19) Pandemic on Public and Private Elementary and Secondary Education in the United States (Preliminary Data): Results from the 2020–21 National Teacher and Principal Survey (NTPS).
  12. Wood, Johnny. “These 3 Charts Show the Global Growth in Online Learning.” World Economic Forum, 27 Jan. 2022, weforum.org/agenda/2022/01/online-learning-courses-reskill-skills-gap.