Assessments are a vital and beneficial tool in Teaching and learning, despite the often negative commentary regarding testing in schools. This is especially true for diagnostic and formative evaluations, which provide teachers with real-time guidance on what students need to learn to grasp course content. In this area, technological developments can have the most significant impact on Teaching and learning, as there is a growing understanding in psychology that examinations can assist students in education.
This notion, often known as the testing effect, claims that low-stakes quizzes assist students in gaining knowledge and enhance education. Advances in technology have led to new advances in the sector, such as stealth assessments, which help pupils cope with the stress that comes with exams. Because the approaches are integrated into the fabric of learning and are unseen to students, this strategy makes testing more pervasive and influential for teachers.
However, to reach a point where all teachers have access to such examinations, more investment in testing research and development is required, resulting in improved diagnostic and formative assessment systems. This issue brief examines advances in artificial intelligence (AI) and the types of diagnostic and formative testing innovations it enables.
The conclusion of this issue brief includes suggestions for how the federal government may invest in testing research and development. At its most fundamental level, AI employs computers and machines to perform a task by simulating human perception, decision-making, and other processes. To put it another way, AI is when robots participate in high-level pattern matching and learning. There are several approaches to comprehending AI’s nature. For example, AI that is rules-based and AI that is machine learning-based are two forms of assessment. To generate a recommendation or a solution, the former employs decision-making rules.
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