Our research encompasses experiments on three versions of the AI learning environment: the original Stronger with AI learning environment, a version measuring affect and mind wandering, and one featuring an adaptive avatar agent.
Utilized by various organizations, including schools and adult learning centers.
Engaged 310 participants (mean age 23 years). Offered courses in English and Icelandic.
Offered courses in English and Icelandic.
Covered topics such as AI, machine learning, and the fourth industrial revolution.
Involved 12 participants (mean age 33.58 years).
Utilized eye-tracking software to monitor attention.
Measured affective state before and after engaging with the study material.
Showed a trend towards reduced affective states after completion.
Involved 103 participants divided into three groups.
Assessed extrinsic motivation with different avatar configurations.
No significant differences found among groups.
Overall high levels of extrinsic motivation.
Users of the English version of the learning environment reported more positive experiences. This suggests a need to investigate what makes the English version more effective compared to the Icelandic version.
The mind wandering experiment indicated a reduction in both positive and negative affective states after engaging with the material. While this suggests a certain level of engagement, it also points to the need for more stimulating content.
Participants recommended several improvements, such as shorter courses, less text per page, more multimedia content, and increased interactivity. These insights will guide future enhancements of the learning environment.
The avatar experiment did not reveal significant differences in extrinsic motivation among groups. However, overall motivation levels were high, suggesting the base learning environment is already engaging.
Participants in the mind wandering experiment had moderate recall accuracy (about 50%), indicating a need for strategies to enhance content retention.
1. Explore differences between the English and Icelandic versions to identify factors contributing to more positive experiences in English.
2. Incorporate more engaging, multimedia-rich content to improve recall accuracy and address user feedback.
3. Develop strategies to reduce stress and enhance focus.
4. Conduct larger-scale studies on the avatar and mind wandering aspects to achieve more significant results.
5. Continuously refine the learning environment based on user feedback, emphasizing content length, interactivity, and multimedia integration.
6. Investigate cultural or language-specific factors that may influence user satisfaction and engagement, potentially adapting the content for better alignment with different cultural contexts.
At the Steingrimsson Foundation, we are dedicated to conducting rigorous user experiments to enhance our AI learning environments. Our mission is to create engaging, inclusive, and effective educational tools that promote AI literacy. By analyzing user experiences and affective states, we continually improve our offerings to meet the diverse needs of learners.
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