no code implementations • 30 Jan 2024 • Ramteja Sajja, Carlos Erazo Ramirez, Zhouyayan Li, Bekir Z. Demiray, Yusuf Sermet, Ibrahim Demir
The exploration provides insights into AI's role in hackathons, and its educational implications, and offers a roadmap for the integration of such technologies in future events, ensuring innovation is balanced with ethical and educational considerations.
no code implementations • 15 Dec 2023 • Ramteja Sajja, Yusuf Sermet, David Cwiertny, Ibrahim Demir
This research study delves into the conceptualization, development, and deployment of an innovative learning analytics tool, leveraging the capabilities of OpenAI's GPT-4 model.
no code implementations • 19 Sep 2023 • Ramteja Sajja, Yusuf Sermet, Muhammed Cikmaz, David Cwiertny, Ibrahim Demir
The paper presents the methodology, system architecture, intelligent services, and integration with Learning Management Systems (LMSs) while discussing the challenges, limitations, and future directions for the development of AI-enabled intelligent assistants in education.
no code implementations • 20 Apr 2023 • Vinay Pursnani, Yusuf Sermet, Ibrahim Demir
This study investigates the feasibility and effectiveness of using ChatGPT, a GPT-4 based model, in achieving satisfactory performance on the Fundamentals of Engineering (FE) Environmental Exam.
no code implementations • 15 Feb 2023 • Ramteja Sajja, Yusuf Sermet, David Cwiertny, Ibrahim Demir
Miscommunication and communication challenges between instructors and students represents one of the primary barriers to post-secondary learning.
no code implementations • 1 Jul 2020 • Yusuf Sermet, Ibrahim Demir
COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources.
no code implementations • 17 Jun 2020 • Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang, Gregory J. Ewing, Yusuf Sermet, Ibrahim Demir
The study provides a comprehensive review of state-of-the-art deep learning approaches used in the water industry for generation, prediction, enhancement, and classification tasks, and serves as a guide for how to utilize available deep learning methods for future water resources challenges.
1 code implementation • 5 Sep 2019 • Yusuf Sermet, Ibrahim Demir
This article introduces an open-source web component, Instant Expert, which allows robust and efficient integration of a natural language question answering system to web-based platforms in any domain.
Human-Computer Interaction