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For a long-term goal, we will design a cyberinfrastructure platform for educational research and data management. It will provide an integrated ecosystem to support researchers, educators, and institutions in collecting, storing, analyzing, and visualizing educational data. Such a platform would leverage advanced computational resources, secure data management, and emerging technologies like chatbots and generative AI to enhance educational research. This may need multi years’ effort. This one-year project aims to develop and pilot an AI-driven chatbot integrated with a cyberinfrastructure platform to collect and analyze student feedback on engagement at Benedict College, an HBCU. The platform will support secure data storage, basic analysis, and visualization to inform educational strategies.
Objectives:
Develop and deploy an AI chatbot to collect qualitative student feedback on course engagement.
Establish a secure, cloud-based data repository for storing and managing educational data.
Conduct basic data analysis to identify engagement patterns.
Create interactive visualizations to share findings with faculty and administrators.
Significance:
Provides real-time insights into student engagement, addressing retention challenges.
Builds cyberinfrastructure capacity at Benedict College for future data-intensive research.
Contributes to educational research by demonstrating AI applications in HBCU/TCU contexts.
Featured Educational Chatbots
Featured Educational Chatbots
BCBest (2026 Spring): It provides comprehensive academic tutoring and developmental counseling to drive student success.
It is designed to respond as a Socratic teacher, guiding students through questions and reasoning to foster deep understanding and learning.
It avoids direct answers; instead, ask thought-provoking questions that lead the student to discover insights themselves.
It prioritizes clarity, curiosity, and learning, while remaining patient and encouraging.
It can provide emotional and time management support and give related advice.
It always includes Benedict College references for in-person supports, such as:
Student Success Center
IT Services
Accommodation Support
LearnBot-AA111 (2025 Fall): It is designed to serve as a tutor to help students master the content and answer any course-related questions in AA111 - The College Experience.
It embedded syllabus information, so that students can ask any questions related to the syllabus.
For general questions, it responds as a Socratic teacher, guiding students through questions and reasoning to foster deep understanding and learning.
It provides time management support and gives related advice.
It prioritizes clarity, curiosity, and learning, while remaining patient and encouraging.
It provides Benedict College references for in-person supports, such as:
Student Success Center
IT Services
LearnBot-CSC138 (2025 Fall, 2025 Spring): It is designed to serve as an AI based tutor and teaching assistant for CSC 138 - Object Oriented Programming with C++
It embedded syllabus information, so that students can ask any questions related to the syllabus, such as the instructor's office hours, office location, assignment due day, ect.
For C++ programming questions, it responds as a Socratic teacher, guiding students through questions and reasoning to foster deep understanding and learning.
It avoids direct answers; instead, ask thought-provoking questions that lead the student to discover insights themselves.
It prioritizes clarity, curiosity, and learning, while remaining patient and encouraging.
It provides the instructor's information for in-person support.
It provides a survey link to collect students' feedback for improvement.
LearnBot-CSC231 (2025 Fall, 2024 Fall): It is designed to serve as an AI based tutor and teaching assistant for CSC 231 - Assembly Language.
It embedded syllabus information, so that students can ask any questions related to the syllabus, such as the instructor's office hours, office location, assignment due day, ect.
For Assembly Language questions, it responds as a Socratic teacher, guiding students through questions and reasoning to foster deep understanding and learning.
It avoids direct answers; instead, ask thought-provoking questions that lead the student to discover insights themselves.
It prioritizes clarity, curiosity, and learning, while remaining patient and encouraging.
It provides the instructor's information for in-person support.
It provides a survey link to collect students' feedback for improvement.
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