Old School Tests to AI Integrated Tests:

 

Technology has helped students and educators for centuries. From the invention of the pencil in the 18th century to the advent of the Internet in the 20th century, the process of teaching and learning has been greatly enhanced by technological innovation. In modern classrooms, educational technologies such as electronic boards and portable digital devices provide educators with unprecedented capabilities to optimize the learning experience for students. In particular, artificial intelligence technologies are proving extremely effective in supporting individualized teaching. Indeed, AI's unique and extraordinary potential for personalizing learning could spark the next big transformation in education, especially when it comes to student assessment and standardized testing

The Torment and the bliss of Assessment

As difficult as assessing students can be, they are also essential to education. Assessments are not only necessary to assess student progress and assess student content mastery, but also to identify individual student learning needs. The problem, however, is that student assessment has too long relied on a one-size-fits-all approach, excluding or excluding many students. Historically, these shortcomings stem from technological limitations, including the lack of a viable alternative to pencil-and-paper assessment. For students with special needs, including those with motor or sensory impairments or neurological differences, typical instructional methods and standardized test formats as inaccessible. As a result, these students often do not have the opportunity to demonstrate their knowledge, skills and needs. As a result, educators have not been able to formulate an effective approach to meet the learning needs and differences of students. Assistive technologies, including AI-based devices, can facilitate assessment for both “typical” students and those with special learning needs. For example, mentally retarded students who may have impaired attention can sit down for a digital assessment using AI-powered software, and in minutes the technology can assess a student's language fluency with extreme accuracy using a machine. study. This means that students with conditions such as Attention Deficit Hyperactivity Disorder (ADHD) do not have to take the 200-question educators test to understand their specific skills, strengths, and weaknesses.

AI and Formative Assessment

The use of AI in student testing is not only deeply beneficial for students with special needs. As suggested earlier, all learners can benefit from AI-powered testing. Specifically, highly responsive digital tests that adapt in real-time to student interaction with technology. For example, AI-based tests can instantly adjust the difficulty of a question based on a student's performance on previous ones. In addition, students often receive immediate results and feedback on automated assessments, allowing them to gain clear, real-time insight into their specific strengths, as well as their specific strengths. areas where they need to work more. Ultimately, moving from paper-based to AI-based testing means moving from cumulative to formative testing. Instead of a single assessment at the "end" of the unit or school year, students are assessed continuously using platforms that are more familiar and engaging to students. These concise, frequent, and responsive assessments allow for a more accurate assessment of a student's current needs, allowing both human educators and machine-based assessments to modify learning content to suit the individual needs of the student. Continuous assessments improve student progress, as AI-powered tests can instantly tailor content to levels equal to or slightly above the skill level of students, supporting content mastery through a kind of path approach. This is a strategy to which paper-based reviews simply cannot adapt. In addition, AI-based testing provides a less traumatic and more engaging experience. For example, digital assessment can be done anywhere and at any time, including from the comfort of a student's home. Something as simple as avoiding long commutes or a sterile test environment can help students relax, learn more, and function better. Similarly, machine-based tests can also assess students' skills through the use of chemistry games, which require students to solve puzzles using math, science, and reading across platforms. very similar to the game platform that students may already be familiar with and trust.

Functionalities

1. Suitable For early-age learners
2. comprehension AR based Learning Content
3. Experiential Learning by 3d Simulations

Benefits To Students

1. Improves Concentration
2. Enhances Observation
3. Sharpens Memory
4. Build creativity
5. widens imagination 

SUMMING UP
Education and technology have long been close allies. However, the advent of artificial intelligence (AI) systems in student assessment are likely to revolutionize the education of students and teachers.