New AI Model Can Predict Student Performance Using Educational Games

Category: Education/Family


Unlocking Word Meanings

Read the following words/expressions found in today’s article.

  1. project / prəˈdʒɛkt / (v) – to predict

    Experts project that the company’s sales will rise this year after the release of a new product.

  2. erroneously / əˈroʊ ni əs li / (adv) – in a wrong way

    The secretary erroneously sent the unrevised version of the letter to the manager.

  3. supplementary / ˌsʌp ləˈmɛn tə ri / (adj) – additional

    Teachers give supplementary activities to struggling students.

  4. open the door to (something) / ˈoʊ pən ðə dɔr tʊ / (idiom) – to introduce a new idea or make something possible

    Scientists are opening the door to a lot of opportunities with their new inventions.

  5. sophisticated / səˈfɪs tɪˌkeɪ tɪd / (adj) – complex

    My grandmother’s new phone has sophisticated technology, so she’s having difficulty using it.


Read the text below.

An artificial intelligence (AI) model can now better determine the degree of students’ learning using educational games.

Researchers from North Carolina State University created a model that can project student achievement on a test based on students’ previous experience with learning tools like educational games.

The researchers tested the effectiveness of their model by analyzing student behavior while student participants played an educational game called Crystal Island.  In the game, participants act as medical agents engaging in different tasks to investigate a disease outbreak on an island.

Before and after playing the game, the participants took a survey and a 17-item test. According to one of the researchers, the team wanted the AI model to be capable of predicting whether or not students would answer each item on the test correctly just by analyzing how they played Crystal Island.

Using data from 181 students, the AI identified similar game-playing behaviors among students who answered each test item correctly and among those who answered erroneously. The model then used this data to predict how a new student would answer the same test item.

According to the researchers, this AI model was about 10% more accurate in predicting student performance than other AI models. The researchers believe their model can be used to improve teaching and learning results. For instance, the model can alert teachers if students need supplementary lessons.

Another researcher said the AI model can open the door to more sophisticated educational programs that can adjust to students’ needs.

Viewpoint Discussion

Enjoy a discussion with your tutor.

Discussion A

• Do you think the researchers’ AI model will be useful in Japanese classrooms? Why or why not?
• How can projecting student achievement be helpful for both students and teachers? Discuss.

Discussion B

• Do you think schools should incorporate educational games in classroom teaching? Why or why not?
• Do you think AI models have the potential to become 100% accurate in predicting student behavior or performance? Explain.