Page 1 of 1

Vision 2035: Flow Machines adaptive XR via biometrics

This form collects contributions related to the Technology Possibility card, "Flow Machines: Adaptive XR via Biometrics"
Contributions may include examples, critiques, dissenting views, prototypes, design patterns, empirical evidence, or methodological proposals.

This form supports the iLRN Codex as a . Submissions may inform future revisions of the Codex page and related Circle of Scholars activities.

Disagreement is expected. Documentation is encouraged.

Section 1: Contributor Context

1. Name (optional)

2. Affiliations (optional)

3. iLRN relationship (optional)

3. iLRN relationship (optional)
A
B
C
D
E
F
G
H
I

Section 2 — Nature of Your Contribution

4. Nature of your contribution

4. Nature of your contribution

5. Brief summary of your contribution

Section 3: Substantive Contribution

6. Describe your contribution in detail

7. If relevant, what biometric signals or adaptive mechanisms are involved?

7. If relevant, what biometric signals or adaptive mechanisms are involved?

8. How is “flow” or learner state defined or inferred in your example?

Section 4 — Tensions, Risks, and Ethics

9. Which tensions does your contribution most directly engage?

9. Which tensions does your contribution most directly engage?

10. Describe any ethical concerns, failures, or unintended consequences observed or anticipated

Section 5 — Evidence, Methods, and Validation

11. What forms of evidence support or challenge your contribution?

11. What forms of evidence support or challenge your contribution?

12. What evaluation or validation approaches do you believe are appropriate for this technology possibility?

Section 6 — Relationship to the iLRN Ways of Knowing

13. Which of the iLRN Ways of Knowing does your contribution most strongly engage?

13. Which of the iLRN Ways of Knowing does your contribution most strongly engage?

14. How does your contribution inform the future of immersive learning (Vision 2035)?
Long text

Section 7 — Permissions & Use

15. May iLRN reference or synthesize your contribution in Codex updates, workshops, or publications?

15. May iLRN reference or synthesize your contribution in Codex updates, workshops, or publications?
A
B
C
D

16. Optional links or uploads (Papers, demos, repositories, videos, or design artifacts.)

Acknowledgement

Acknowledgement