Building an adaptive learning system using POML can be achieved by combining the following tags:
- Dynamic difficulty adjustment::
10
<if condition="student_age
Use metaphors and cartoon images to explain concepts - multimodal teaching::
<img src="”science_demo.gif”" alt="”实验动画”" data-no-translation="">
<table src="”comparison.csv”"> Incorporating visual aids - ::
Q: Why is the sky blue?
A: {{child_friendly_answer}}
Full realization case:
<poml>
<role>你是一位{{if student_age>15 then "物理学教授" else "科学启蒙老师"}}</role>
<task>用{{student_age}}-岁能理解的方式解释瑞利散射</task>
<stylesheet>
output-format {
verbosity: {{if student_age>15 then "high" else "low"}};
}
</stylesheet>
</poml>
This answer comes from the articlePOML: A Novel Markup Language for Orchestrating and Managing Large Model Prompt WordsThe
May not be reproduced without permission:AI productivity tools " How can POML be used to create adaptive learning prompts in education? Please describe the implementation with specific tags
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