Actionable companion · Feedback & scaffolding

Learning with agency: A Mixed-Methods Feasibility Pilot Study of Medimon for High School Endocrine Education

AI-assisted editorial implementation guide, separate from the original research. Proposed actions are not claims or recommendations attributed to the source authors. No independent peer review of this guide is asserted.

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Evidence and context

Title and abstract screening; stage labels describe reported settings, not verified numerical ages. Design labels require full-text appraisal. Reported stage(s): Secondary school. Verify the participant population and task before transferring the findings.

Original authors’ abstract, reproduced under the linked source license:

Abstract Medimon is an educational role-playing game that integrates visual mnemonics, collectible creatures, disease states, treatment items, and artificial intelligence-powered non-player characters (AI-NPCs) to teach biomedical concepts. This single-arm mixed-methods feasibility pilot examined recruitment, gameplay uptake and progression, player experience, descriptive knowledge outcomes, and AI-NPC interactions during the Medimon endocrine level among high school students. Thirty students consented; 10 generated gameplay data, six completed paired 12-item pretests and posttests, and eight completed a PXI-style survey. Students played independently using a Steam-based build and encountered thyroid, pancreas, and adrenal educational content through exploration, quests, battles, and Medimon collection. Mean paired knowledge scores increased from 19.4% at pretest to 44.4% at posttest, although the change was not statistically significant in this small exploratory sample (p = 0.156). Audiovisual appeal, curiosity, and enjoyment were rated favorably, whereas Progress Feedback was the lowest-rated player-experience domain. Students who completed the posttest demonstrated greater gameplay duration, exploration, quest completion, and Medimon exposure than non-completers. Thematic analysis identified a mismatch between player expectations and AI-NPC scope, including fabricated quests, spatial directions, and game mechanics that introduced unreliable guidance into the educational environment. The study identified barriers related to gameplay uptake, progression feedback, posttest completion, and AI-NPC reliability that should be addressed before the educational efficacy of Medimon is evaluated in a larger controlled study. Keywords: game-based learning, endocrine physiology, visual mnemonics, artificial intelligence, high school education

What kind of evidence is this?

Supporting AI learning science · Comparative / pre-post study reported

Stage: Secondary school. Screening labels describe reported context and study-design language. They are not a risk-of-bias rating or proof of effectiveness for an age band.

Study methods · source passage

This study used a single-arm, mixed-methods pilot design to evaluate the feasibility, gameplay progression, preliminary knowledge outcomes, and player experience associated with the endocrine level content of Medimon, an educational role-playing video game. The study was approved by the University of Idaho Institutional Review Board (IRB Protocol 25–144). Signed parental consent and student assent were obtained before participation.

Limitations and uncertainty · source passage

Game-based approaches may be particularly useful for biomedical learning because they can transform abstract concepts into visible, interactive systems. In health-professions education, serious games and gamification have been associated with learner satisfaction and, in some studies, improved knowledge or skills; however, the certainty of evidence has often been limited by heterogeneous interventions, small samples, and variable study quality [20–22]. These limitations highlight the importance of evaluating not only whether a serious game is enjoyable, but also whether its educational content, learning objectives, game mechanics, and outcome measures are deliberately aligned. Frameworks for serious-game design emphasize the need to connect pedagogical goals with mechanics such as exploration, collection, feedback, challenge, and progression rather than simply adding superficial game features to conventional instructional content [23,24].

Design the system before the pilot

Use this study to inform a learning mechanism or implementation question. It is not direct evidence that autonomous agents improve learning. Keep the proposed agent behavior separate from what the source actually tested.

Give feedback on the learner’s reasoning, then fade hints. Record whether the learner can complete the next task without that scaffold.

A 90-day district pilot

Days 1–15 · Appraise. Have the curriculum lead and a teacher read the methods and limitations. Record the study design, sample, comparator, outcomes and evidence gaps. Define a local question that the study can help inform.
Days 16–30 · Design. Ask learners to attempt a problem unaided, compare an agent hint, explain a revision and verify the final reasoning against a trusted source. Make the permitted use explicit for each assignment. Name an accountable owner and set the baseline, success threshold and budget before implementation.
Days 31–60 · Test. Start with a small voluntary cohort, preserve an accessible non-AI route and require teacher review. Use synthetic or de-identified examples; approve data handling and tool terms through district processes.
Days 61–90 · Decide. Measure unaided transfer and delayed retention, calibration of confidence and the ability to identify an incorrect AI explanation. Record whether help-seeking becomes answer copying. Compare with baseline, document uncertainty and stop or revise if learning worsens, access is unequal or critical errors persist.

The board decision brief

Report the learning problem, evidence quality, participating population, total cost including review time, measured benefit, errors, access differences and remaining uncertainties. Make a dated recommendation to stop, revise or expand. A positive perception survey alone does not establish learning improvement.

Attribution and reuse

Sebastian Svoboda-Powell; Shane Mitchell; Ciara Bordeaux; Emma Ferguson; Joscelyn Coad; Alexandra Silalahi; Cameron Bowman; Jessi Holte; Patryk Kosmulski; Tyler Bland. A Mixed-Methods Feasibility Pilot Study of Medimon for High School Endocrine Education. Multimodal technologies and interaction (2026-08-08). https://doi.org/10.3390/mti10080084

Companion prepared 2026-10-30. Original authorship and DOI are preserved. The abstract is an attributed source extract; the implementation plan is new AI-assisted editorial material, offered under the same CC BY 4.0 license. This guide has not undergone independent peer review.