AI is used in computer-based tests to score constructed responses, eliminating the need for time-consuming hand scoring — for example, analyzing large sets of student response data to look at patterns of performance.
This may result in the development of empirically derived learning progressions for individual students.
AI can also be used as an assessment platform, allowing students to have a Socratic conversation with an avatar to define a problem and develop a solution. In this case, the platform would house the conversation and analyze it for efficiency and accuracy of the solution.
Redefine Measures of Student Performance with AR and VR
Conversational computing is another example of AI that can be used to enhance assessment models.
The NWEA developed an automated reading fluency assessment, MAP Reading Fluency, which uses this technology to automatically score students’ oral reading and produce immediate feedback.
Other emerging technologies are being considered for use as assessment tools. Augmented and virtual reality have the potential to redefine how we measure students’ performance by providing environments that allow them to demonstrate their ability to apply knowledge and skills to unique situations.
While technology is helping assessments become more relevant and reliable, tests may also become more equitable, exposing more students to a broad range of information through digital field trips, literature and various instructional approaches.
This exposure may help level the playing field for all students, as assessments often rely on background information.
Technology could make assessments more accessible for students, especially those who are intimidated by current test designs.
This may result in a more accurate and fair representation of what each student knows and can do.
Ultimately, this will allow educators to assess the knowledge and skills of all students, and ensure that all have an equal opportunity to learn.