AI and Adaptive Assessment Technology Are Key to Better Educational Outcomes
The upcoming 2020-21 school year poses challenges to administrators, teachers, and students since we are still unsure what a return to the classroom will look like. No matter where students learn, however – either in the classroom or their living room – AI and adaptive assessment technology can help them achieve the best educational outcomes.
The State of AI in Education
Even before the COVID-19 pandemic, educators were in overwhelming agreement about the importance of AI, with 99.4% saying it would be instrumental to their school’s competitiveness within the next three years. AI can assist in many areas of education, such as grading and scheduling, but the biggest impact it makes is with its ability to identify subjects where students are struggling, then provide assistance that is tailored to help them reach the next level.
According to Dan Ayoub, general manager of education at Microsoft, the keys to implementing a successful AI strategy are “knowing where to start, starting small, and adding to your capabilities over time.” One of the best places to start is SAT and ACT test prep, which typically include predictive diagnostic tests, practice questions, and live or asynchronous classes. Test prep courses like A-List’s have been in use for years to help students achieve higher test scores; now, with distance learning becoming the norm instead of the exception, this same technology can be used to help students who are returning from a disruptive school year into a very different learning landscape.
How Adaptive Assessments Help Students Achieve Better Outcomes
A-List provides asynchronous and live courses, powered by a proprietary assessment and content engine to help students face the new year. The Common Core and State standard-aligned math and English questions help teachers assess where students are both succeeding and struggling, allowing them to provide extra attention where needed.
The adaptive assessment tool includes a curriculum of customized questions served by an AI algorithm that uses the Item Response Theory. This is a method of analyzing test answers with the end goal of improving measurement accuracy and reliability. This is especially important going into the fall semester following the COVID-19 pandemic, since there is evidence of a serious COVID / summer slide that can set students back significantly. Students who need the extra help can receive it over online classes, even if their school returns to in-classroom learning full time in the fall and will help them get up to speed quicker for the coming school year.
If you would like more information about AI or adaptive learning technology and how they can help students in both online and in-person learning environments, contact us.