The role of artificial intelligence (AI) in education is growing every day. Especially in student assessments, using AI offers great opportunities for educators. Teachers can measure their students' achievements more quickly and reliably while also creating a more personalized feedback process. The Artificial Intelligence Assessment Scale (AIAS), developed by Madlen, plays an important role in this change and transformation.

A New Era in Assessment with Artificial Intelligence

As technology advances, the transformation of assessment processes in education has become inevitable. AI is changing the methods that educators use to measure student success and making them more efficient. Now, everything from students' written works to exam results can be evaluated more quickly and accurately. AI-supported tools provide teachers with the opportunity to instantly observe student achievements.

Lodge (2024) describes how artificial intelligence is transforming security in education. While increasing the accuracy of assessments, AI also supports students' academic integrity. Teachers can have more data with AI tools and evaluate student assignments and projects quickly and accurately. This way, feedback is also given more timely.

The Artificial Intelligence Assessment Scale (AIAS) and Its Applications in Education

The Artificial Intelligence Assessment Scale (AIAS) presented by Madlen serves as a guide for teachers on how to use artificial intelligence. By determining when and how AI should be used, it enables teachers to interact more effectively with their students. This scale shows teachers how they can make more reliable assessments regarding their students' use of AI.

In addition, clear guidelines are provided for teachers on how to approach assessing students' written works and project reports using AI. For example, if students are conducting research using AI, a guiding system is established to help teachers monitor this process and determine at which stages students should receive feedback. This makes the use of AI more transparent and allows for easier evaluation of how students integrate artificial intelligence tools.

Security in AI-Supported Assessment

One of the biggest advantages of artificial intelligence in education is its ability to ensure assessment security. TEQSA (2024) discusses the effects of AI on academic integrity and highlights the points that teachers need to pay attention to. Artificial intelligence helps prevent issues like cheating while evaluating students' exams and written content.

Furze (2024) addresses the role of artificial intelligence in educational security and explains how AI contributes to traditional security methods previously used. AI tools provide teachers with quick feedback by analyzing students' similarities and the originality of content. This helps teachers make more reliable and accurate assessments.

Conclusion: AI-Supported Assessment and Its Future

As the use of artificial intelligence in education increases, it is crucial for teachers to learn how to use AI-based tools more effectively. The Artificial Intelligence Assessment Scale (AIAS) guides teachers in this regard, determining how AI can be used in assessment processes more securely and efficiently.

Madlen aims to create a fairer, more accurate, and transparent environment in education with AI-supported tools. Thanks to these tools, teachers and students will engage in a more effective assessment process. In the future, the role of artificial intelligence in education will further expand, paving the way for more innovative and efficient education systems.

References

• Furze, L. (2024, August 28). Updating the AI assessment scale. Leon Furze. Retrieved from https://leonfurze.com/2024/08/28/updating-the-ai-assessment-scale/

• Lodge, J. M. (2024, August). The evolving risk to academic integrity posed by generative artificial intelligence: Options for immediate action. Tertiary Education Quality and Standards Agency (TEQSA), Australian Government. Retrieved from https://www.teqsa.gov.au

• Grassini, S. (2023). Development and validation of the AI Attitude Scale (AIAS-4): A brief measure of general attitude toward artificial intelligence. Frontiers in Psychology, 14, Article 1191628. https://doi.org/10.3389/fpsyg.2023.1191628