When reflecting on “learner responsibilities” in technology adoption, I no longer see them as mere actions like trying the tool or watching tutorials. After examining Kang (2025) and reviewing the Technology Acceptance Model (TAM) and its extensions, TAM2 and TAM3, I now interpret learner responsibilities as internal growth efforts—mindset shifts that empower adults to integrate new technologies effectively into their learning processes.
To set the stage, the figure below illustrates how TAM constructs and
adult learning theories orbit around the learner. It is not meant to be a
precise causal diagram, but rather a conceptual mood-setter that highlights the
cognitive and emotional dimensions of adoption.
Figure 1
Conceptual Sketch of the Learner's Dual Responsibilities in Technology Adoption
This week, two responsibilities stood out:
- Actively
constructing relevance and
- Proactively shaping one’s emotional connection with technology.
1. Learners must actively construct relevance (not wait for it).
Kang (2025) suggests that meaningful technology integration begins when learners intentionally connect tools to their personal learning objectives. This aligns with TAM2, which shows that job relevance significantly influences perceived usefulness, especially when paired with output quality (Venkatesh & Davis, 2000).
In essence:
Adults are more likely to adopt technology when they can see its clear benefits in helping them achieve what matters to them.
But instructors cannot fully provide relevance. Learners must:
- articulate their own goals
- map the tool to those goals
- test whether the tool actually helps
This demonstrates andragogical self-direction: adults learn most effectively when their learning is connected to real-life needs (Knowles, 1984).
2. Learners need to maintain a healthy emotional connection with technology.
TAM3 broadened the model by emphasizing emotional aspects like computer
anxiety, playfulness, enjoyment, and self-efficacy (Venkatesh & Bala,
2008). These are not merely technical concerns — they relate to identity.
Adults carry their past experiences, fears, and confidence into each new
tool they encounter. Kang (2025) notes that learners often feel discomfort,
uncertainty, and vulnerability when engaging with new technologies. This
supports Mezirow’s (1991) notion that transformative learning entails facing
disorienting dilemmas, and technology can often be one such challenge.
Akpan (TEDx Talks, 2020) illustrates how everyday technology use generates anxiety — separation from a smartphone, fear of missing out, social comparison — the same emotional terrain TAM3 identifies as shaping perceived ease of use.
Learners must take responsibility for managing the emotions that shape their perception of ease of use:
- acknowledging anxiety
- seeking support early
- allowing low-stakes experimentation
- building confidence through small wins
Integrating Both Responsibilities: A Learner Journey
To help visualize how learners can take on these responsibilities, I
created a second figure outlining a single, supportive path toward technology
confidence. It integrates TAM, adult learning theories, and concrete learner
actions.
Figure 2
Learner's Path to Tech Confidence
This journey shows that while learners hold responsibilities, they are not meant to walk alone. Support is essential.
Why These Responsibilities Matter for Adult Education
Together, these responsibilities highlight a core truth:
Adopting technology is not merely a technical task — it is a process of
shaping meaning.
Learners face the cognitive task of assessing relevance and the emotional
challenge of building confidence. TAM indicates that perceptions, rather than
design alone, influence usefulness and ease of use. Kang (2025) highlights that
meaningful integration relies on learners actively constructing their
understanding.
A Question for My Classmates
What has been the most challenging emotional or cognitive responsibility
you have faced when adopting a new learning technology, and how have you
managed it?
References
Kang, H. (2025). Adult learning and meaningful technology integration
(2nd ed.). New Prairie Press.
Knowles, M. (1984). The adult learner: A neglected species (3rd
ed.). Gulf Publishing.
Microsoft. (2026). Copilot [Generative AI tool]. https://copilot.microsoft.com
Mezirow, J. (1991). Transformative dimensions of adult learning.
Jossey-Bass.
TEDx Talks. (2020, May 6). Technology anxiety: Hate liking for dummies | Mfon Akpan | TEDxAllendaleColumbiaSchool [Video]. YouTube. https://www.youtube.com/watch?v=Qd3px40lYDs
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies. Management
Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926


