One of the most important topics in education will be design thinking.
Attention spans have shortened; how can I engage students using these tools?
Every era creates its own problems and finds its own solutions.
The problem of this era is that everyone has too much information, and the challenge lies in filtering it.
Assoc. Prof. Dr. Tarkan Gurbuz – METU CEIT faculty member. First speaker.
We will discuss how the use of artificial intelligence in learning environments can transform education.
The topic of artificial intelligence has been around since the 1950s, including Cahit Arf’s conferences in Anatolia. Now, it’s more accessible due to the increase in data, the usability of data, and the ability to process data thanks to cloud and other technologies.
You can see how Google approaches AR and VR at arvr.google.com.
There are changing conditions and needs: interdisciplinary collaboration, new institutional structures, and new education and learning environments.
E-learning during the pandemic can be referred to as “emergency remote teaching.”
The role of artificial intelligence in education:
- It can automate basic educational activities.
- Educational software can be adapted to student needs.
- Machine learning can personalize learning.
- Natural language processing can create virtual assistants and instructors.
- AR and VR enable motion tracking, and AI can help improve this data.
Current trends include adaptive learning environments, immersive AI-supported classrooms, and the rise of hybrid models.
I asked the following questions:
- Could the practical results of AI overshadow learning itself? Might getting instant results instead of gradual, reflective learning lead to laziness over time?
- Making more efficient use of existing technologies yields faster and more economical results than trying to acquire new ones.
Dr. Mustafa Ilter and Dr. Buket Oksuzoglu – A workshop on creating a virtual course assistant using natural language processing was held.
Details were provided about natural language processing, a subfield of artificial intelligence.
A virtual assistant system tailored to a specific course was developed, enabling access to course-specific information. The hist-201 language learning model was showcased.
The history of language models was discussed, including n-gram models, neural network-based models, and transformer-based models.
For data sources in Turkish studies, the BERTurk Model is used in language models.
From the remaining talks, I couldn’t attend “Artificial Intelligence in Education and Research” and “An Example in Architectural Education: Teaching Structural Mechanisms Through Spaghetti Bridge Competitions” due to company and school commitments.
