SPOTTER TASK 9

SPOTTER: NATALIA



Regarding our task 8, the concepts that we chose as translators were: data privacy, rubric-based evaluation, constructivism and connectivism in digital education. However, after comparing our work with the other groups' contributions (Stars and Masterminds), we realized there were a few concepts we could have added.

For example, media literacy, mentioned by the Masterminds group, would have been useful. It helps students understand how algorithms shape what they see online, which ties in well with our discussion on data privacy.

Also, the ethical implications of algorithmic biases, from Star Group, would have added depth to our task. It would help students understand how algorithms can reinforce biases and affect content recommendations.

Lastly, gamification, also highlighted by the Star Group, could have been a good addition since most of the actviities that we are creating are based on games so that students learn by playing. 

About the analyst part, Masterminds explored more the ethical issues related to AI, such as privacy and algorithmic bias, which we think would have been useful for our students. Additionally, Star Group focused more on promoting student collaboration, which could have added value to our activity, which was more individual-centered. Also, in terms of explaining some concepts, by reviewing Masterminds’ work, we noticed we could have been clearer when describing technical terms like the recommendation algorithm, using more practical examples. Lastly, we observed that Star Group implemented a more formal assessment of learning at the end of the activity, something we did not incorporate but would have been useful to ensure that students understood the content well.

In summary, we believe we could have improved the activity by including more details on the ethical issues of AI, promoting more student collaboration, and adding a final assessment.














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