NATP has reported NAEP results as they were released and AI as it progressed. Now, we see the two nationally trending topics come together to explore the possibility of better support for educators, higher student achievement, and improved tests. Let’s take a look at how the value of NAEP data can be applied to modern day education research by providing large-scale, high-quality data on student learning.
A Potential Goldmine
- NAEP collects extensive information on student work and on their schools and communities.
- It could be leveraged to improve algorithms that enhance student outcomes.
- The reward of NAEP data is high, and the risk to student privacy is low.
- ChatGPT and artificial intelligence is sweeping the nation.
- Experts explore its power to improve learning processes and outcomes.
- Generative AI requires large quantities of high-quality, relevant data to be of any value.
- NAEP, often known as the Nation’s Report Card, has the data needed.
- carefully collected, valid, and reliable data with rich contextual information about learners
- protects student privacy and
- can fulfill the data needs of modern education research
- Science is moving faster than the speed of government, but we need to catch up.
- NAEP’s data mine holds hundreds of thousands of examples of student work coupled with detailed contextual information about students, their school, and their community.
- Those data can be used to improve AI algorithms that can in turn improve student outcomes.
- Automated scoring is among the most widely researched and deployed uses of AI in education.
- Researchers could use NAEP data to explore complex constructs that have more far-reaching implications than scoring
- categorizing math misconceptions
- identifying ways to improve student writing
- understanding the key themes present in student writings about civic engagement.
- Protecting student privacy is essential but not a reason to delay the release of the data, as NAEP has many safeguards already in place.
- With NAEP’s large samples and detailed contextual variables about the test-takers, their schools, and their families, we can also learn about the impact of many factors on student achievement.
- NAEP can begin to fulfill the data needs of modern education research.
Conclusion
- We are only beginning to see how the future of education research will be transformed by generative AI.
- It is clear thta NAEP data must be part of that future.
- Experts claim NAEP is obligated to make their information data to qualified researchers for purposes of educational advancements by way of AI.
- The value of tapping NAEP’s data gold mine is high, and, given its history and design, the risk to student privacy is low.
- Decisions regarding data privacy should be weighed for the relative risk and reward.
- Using NAEP data could improve NAEP itself but, more importantly, answer questions about how students learn.
- NAEP data could have much broader applicability, especially in the context of large-language models.
- NAEP data could help making current models more accurate and more useful.
- Opening up NAEP’s gold mine of data will allow us to tap into the creativity of the research community to explore what insights we can derive from NAEP data that will be useful to education stakeholders.
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