The annual AI in Education conference was held in Tokyo last July 3-7, 2023.
Beyond aiding with student cognition, the AIED community also has a great interest in how students behave and feel. Some researchers fine-tuned facial recognition software to detect more accurately academic emotions such as boredom, confusion, and frustration. A study on help-seeking behaviors found a positive relationship between help acceptance and learning. However, students who asked for more help than others also exhibited more confusion and anxiety.
AI technologies need to be integrated into the curriculum. However, the curriculum, as it is implemented, tends to treat ICTs as subjects in themselves Still, there is hope. Two trends are emerging that work to our benefit. First, there is an increasing interest in greater diversity and inclusion in AIED. There is a growing consciousness about how our AIED systems may further marginalize those of a certain race, status, or income level, and a desire to prevent a “Matthew Effect” or accumulated advantage, where those are already advantaged become more advantaged over time.
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