Artificial Intelligence in Educational Technology Lab - College of Computing and Software Engineering

Advance Education Through AI Practices

Welcome to the Artificial Intelligence in Educational Technology (AIET) Lab! We are a dedicated group of researchers and engineers passionate about advancing educational practices by harnessing the power of AI. At the AIET lab, the innovation converges at the intersection of education and technology. Our multidisciplinary team is dedicated to enhancing pedagogical practices through AI-driven tools, understanding and responding to human emotions in educational contexts, harnessing data for evidence-based decision-making, providing personalized recommendations, and making interventions to enhance computational thinking skills.

Director of AIET

Nasrin Dehbozorgi, PhD.

I’m an Assistant Professor of Software Engineering and the director of the AIET lab in the College of Computing and Software Engineering at KSU. With a Ph.D. in Computer Science and prior experience as a software engineer in the industry, my interest in both academic and research activities has laid the foundation to work on advancing educational technologies in AIET. Feel free to reach out if you'd like to learn more about our projects or explore collaboration opportunities.

Email: dnasrin@kennesaw.edu

Artificial Intelligence Driven Projects

The AI Lab at Kennesaw State is engaged with various projects looking at the many impacts of Artificial Intelligence. From assisting educators with evidence-based teaching strategies using the PDPRS system to automating scientific discourse analysis, these projects focus on how assisted technology can develop more streamlined processes.

Our past projects have classified EEG scan data and developed guided meditation for attention improvement, created a speech analysis model, supported research collaboration to enhance computational thinking skills in First-Year Experience courses, and more!

PDPRS: Pedagogical Design Pattern Recommender System

The PDPRS system assists educators by recommending evidence-based Pedagogical Design Patterns to facilitate the improvement of teaching strategies and students’ learning experiences.
Ed Insight: An AI-Assisted System for Enhancing Competency-Based Learning and Employability

This AI-driven system employs the Constructive Alignment Framework to pinpoint specific course learning objectives where students have gaps and recommends courses to bridge these gaps while aligning with future job requirements.
Cogni-Reflect: Automatic Reflection Analysis Tool

This tool integrates learning outcome-based assessment and student engagement through the 'Minute Paper' method to identify their Muddiest points. It employs cutting-edge language models, to analyze student reflections more accurately in the context of specific courses.
ADAS: Automated Discourse Analysis of Science Classes

ADAS is an AI-assisted system built on top of the CDAT (Classroom Discourse Analysis Tool) framework. CDAT coding mechanism defines tags for discourse patterns in scientific contexts. ADAS automates scientific discourse tagging and analysis using ML/NLP models.

EEG Spectral Analysis for Inattention Detection in Academic Domain

This project entails creating an ML pipeline to classify EEG scan data into attention and inattention states. It also involves the development of a tailored guided meditation “ChakraMarmaKosha Meditation-II” to boost the attention level.
Affective Computing via SER (Emotion Speech Analysis)

The project introduces a speech analysis model for extracting topics and associated emotions from students’ speech. This aids educators in gaining insights into students' emotional states, and teamwork climate, and understanding the topics discussed during their conversations.
CCSE-IRML: Interactive Research Method Lab

CCSE-IRML offers a versatile research environment, encompassing both physical and virtual spaces within the College of Computing and Software Engineering at KSU. These resources are available to students and faculty, fostering collaboration and offering personalized research guidance and instruction to facilitate research development. This project is a sub-set of the Student Success project at CCSE and collaborative work with the IRML lab in BCOE at KSU.
Computational Thinking in SWE

This project is funded by the Student Success grant at KSU, aiming to enhance students' computational thinking skills for improved academic performance and future job prospects. The project focuses on developing modules tailored for First-Year Experience (FYE) courses.

AI Events Happening at KSU

Congratulations to Mourya Teja Kunuku for winning the outstanding CCSE PhD student award!
Congratulations to Sreekanth Gopi for winning the 2nd place of Graduate Research Project in Fall 23 C-day as well as the outstanding CCSE Graduate student award!
- Visit Computing Showcase
Congratulations to Sreekanth Gopi, and his team for winning the second prize in the Llama 2 Hackathon with Clarifai!
We are attending the Frontiers in Education IEEE Conference at Texas College Station in October 2023.
The IRML lab is now officially open and accessible. Faculty members interested in reserving the space for their presentations, research activities, or labs can do so by viewing the link below.
- Reserve IRML Lab Space

INTEL - Transatlantic AI hackathon April 21-23, 2023 – 1st prize Winner!

Sreekanth Gopi and his team have won first place in the Transatlantic AI hackathon. The competition was an international event, which brought together global developers and entrepreneurs from various industrial backgrounds to develop an AI Machine Vision solution to improve the quality control processes in industrial textile manufacturing. The team’s developed model can detect specific types of defects such as missed stitches and holes with high speed and accuracy, utilizing the INTEL OpenVINOTM toolkit, Luxonis DepthAI, and OAK-D-Lite spatial AI camera.
Faculty Summer Institute

As a part of the Student Success project, we ran a three-day Summer Institute with 15 participating Fauty from CCSE to discuss various aspects of teamwork, recognizing the effects of diverse learning environments on mental health (to include positive and negative aspects; belonging, efficacy, motivation, engagement, stress, and anxiety), and development of methods and tools to facilitate teamwork in classes.
Hackathons
Past Hackathons
- AudioCraft 24-hours Hackathon 2023
- AutoGPT Arena Hacks 3 weeks hackathon
- NASA International Space Apps Challenge Oct 6-7 2023
- DigiEduHack Nov 2023

KSU Graduate & Undergraduate Student Members

The AIET Lab is propelled by a dynamic cohort of students with a shared passion for leveraging AI in groundbreaking ways. Our members dive into a spectrum of AI applications, ranging from exploring generative AI and advanced language models to conducting EEG analysis and pioneering AI-driven music generation projects. With diverse interests spanning natural language processing, machine learning, and full-stack development, our team collaborates to drive innovation in education at KSU and beyond!

PhD Students

Mourya Teja Kunuku

Computer Science

I am privileged to pursue a Ph.D. in the field of computer science at KSU. Within the vast realm of computer science, my research interests lie in two interconnected areas: The application of Artificial Intelligence (AI) in various domains, Generative AI, and Large Language Models (LLM). I am driven by the boundless possibilities that AI offers across diverse domains, including healthcare, finance, Education, and autonomous systems. Beyond my academic pursuits, I find solace and inspiration in a range of hobbies. Biking allows me to reconnect with nature and rejuvenate my mind while diving into the pages of books expands my horizons and nurtures a lifelong passion for learning. Traveling, on the other hand, enables me to embrace diverse cultures, broaden my perspectives, and foster a global outlook.
MS Students

Sreekanth Gopi

Computer Science

I’m currently pursuing a Master's degree in Computer Science at Kennesaw State University, focusing on the application of AI to enhance mental well-being and develop innovative multidisciplinary projects. My thesis specifically explores 'EEG Spectral Analysis for Detecting Inattention in the Academic Domain.' In addition, I'm also involved in a project focused on AI-driven Raga Multi-track Music Generation within the domain of Indian classical music. In the AIET lab, I'm actively engaged in a funded research project aimed at applying Computational Thinking principles in Software Engineering to improve students’ academic performance and better prepare them for the industry.

Varun Gottam

Computer Science

I'm currently a Master's student in Computer Science at Kennesaw State University, with a strong passion for coding and working on projects related to NLP and ML. Within the AIED lab under the supervision of Dr. Nasrin Dehbozorgi, I’m working on a collaborative project with Dr. Soon Lee from the Bagwell College of Education to develop an AI-based discourse analysis system for science classes.

Bharath Yadla

Computer Science

I am currently pursuing my Master's degree in Computer Science at Kennesaw State University, with a focus on full-stack web applications using technologies such as React, Django, and Flask. Additionally, my research interests include Natural Language Processing (NLP) and Generative AI. I am involved in the PDPRS project within the AIET Lab, working under the supervision of Dr. Nasrin Dehbozorgi. Beyond academics, I enjoy spending my free time traveling to natural preserves.

Ashrith Kumar Devara

Computer Science

I’m currently pursuing a Master's degree in Computer Science at Kennesaw State University, currently working at the AIET lab under the guidance of Professor Dr. Nasrin. My focus areas encompass Natural Language Processing (NLP), Machine Learning (ML), and Full Stack development. I am passionate about exploring innovative solutions at the intersection of these domains, leveraging cutting-edge technologies to address real-world challenges.
BS Students

Devananda Sreekanth

Computer Science

I am Devananda Sreekanth. I am a BSCS student at Kennesaw State University with a major in computer science. My concentration is on artificial intelligence and my skills are in Python and C++. My research interest is in UI design, game design and development, and robotics. Recently I participated in the AudioCraft 24-hour Hackathon and the topic was about AI music generation. Fun fact: I have traveled to 13 countries.

Grace Card

Computer Science

I am currently pursuing my bachelor's degree at Kennesaw State University in Computer Science. I have a strong interest in AI and its possible effects on the world. I truly believe that if used correctly, AI has the potential to be helpful to people in many different sectors of life, including my own. In my personal life, I love to indulge in creative activities, like drawing, journaling, or playing instruments that are laying around!
Former Students
- Dinesh Attota - Ph.D. in Data Science and Analytics-current position
- Dominick founds - M.S. in Software Engineering
- Alan Norkham - M.S. in Computer Science
- Aditya Vadapally - M.S. in Computer Science
- Koushik Goud Dindu - M.S. in Computer Science
- Divya Pramasani Mohandoss - M.S. in Computer Science
- Nitesh Kalyan Koilada - M.S. in Computer Science
- Rasha Eltigani - M.S. in Software Engineering
- Lulit Asfaw - M.S. in Software Engineering
- Aishwarya Turlapati - M.S. in Computer Science
- Alexandria Fuller - M.S. in Software Engineering
- Gopi Krishna Jagarlamudi - M.S. in Computer Science
- Neha Dedani - B.S. in Computer Science

Publication Updates

List of Recently Accepted Papers for Publication:

ASTE’23 Annual Conference: “Application of AI in Developing Automated Discourse Analysis System (ADAS) for K-12 Science Classrooms – Part I “
AIED’23 (EDI in EdTech R&D): “Exploring Application of LLMs and AI-based Models in Addressing EDI Concerns”
ACM-SIGITE’23: “Enhancing Competency-Based Learning and Employability”
ACM-SIGITE’23: “Exploring the Role of ChatGPT in Education: Applications and Challenges”
IEEE-FIE’23: “Affective Computing in Software Engineering: a Topic-Based SER Approach on Collaborative Discussions”
IEEE-FIE’23: “EEG Spectral Analysis for Inattention Detection in Academic Domain”
IEEE-FIE’23: “Analysis of Learning Outcomes in Software Engineering: An Automated Reflection Analysis Tool