INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO SILLIMAN EDUCATION

Description

Artificial Intelligence (AI) is a transformative technology that has significantly impacted education. Silliman University embraces AI to enhance teaching, learning, and administrative processes. This document outlines the AI integration framework and provides guidelines for the responsible and effective use of AI in the university.

Part I includes a diagram and narrative description that explains the university's core values and principles of AI Integration. Silliman University’s AI Integration Framework emphasizes continuous learning, ethical practices, collaboration, and a student-centric approach. It describes how making AI can improve personalized learning and make administrative tasks more efficient. Silliman University's AI Integration Framework is founded on values such as innovation and ethical use, continuous learning, collaboration and engagement, and a student-centric approach. These principles guide the mission-driven integration of AI to improve personalized learning experiences, enhance administrative efficiency, and ensure AI use aligns with the university’s mission and values.

Part II provides comprehensive guiding principles to assist all stakeholders (teachers and researchers, staff, administrators, students, and parents) in responsibly integrating AI into teaching, learning, administration, and operations. To implement these guidelines, the university emphasizes faculty and staff training through regular workshops and sessions on AI tools and applications led by the Global Studies Center. Students are introduced to AI's benefits and responsible use during student orientation, with encouragement to explore AI-powered learning platforms. Ethical AI use in research is stressed, with guidelines to maintain high ethical standards and ensure transparency through AI-generated content checkers. Inclusive learning materials are developed to cater to diverse learning styles, and assessment transparency is maintained by clearly communicating the use of AI tools in assessments. Privacy protection protocols are strengthened to safeguard student and faculty data.

Part III outlines specific guidelines for the effective and ethical integration of AI tools in educational settings. In the classroom, AI is utilized for content generation, such as text, image, and video creation, enhancing pedagogy with personalized learning paths and innovative materials. AI also supports research through data analysis, literature reviews, and writing assistance and streamlines assessments with adaptive quizzes, instant feedback, and automated grading. Administratively, AI aids in information dissemination through tailored newsfeeds and social media management, provides writing support with grammar checks and plagiarism detection, and organizes tasks by automating timetables, event planning, and resource allocation.

Part IV focuses on the "Do’s and Don’ts" of using AI tools across various academic disciplines. This section provides guidelines to help teachers and students effectively and ethically incorporate AI into their educational practices. The Do’s and Don’ts are divided into three main areas: content generation, assessment, and research.

Part V outlines the necessary steps for students and faculty to declare their use of AI tools in academic submissions and emphasizes transparency in AI usage. It includes instructions for submitting AI-generated work, guidance for instructors on giving clear instructions regarding AI use in assignments and using AI detection tools like Turnitin to ensure the originality of student work. It also highlights the importance of direct communication between instructors and students to verify the authenticity of submissions and maintain academic integrity.

Part VI provides practical examples of how AI can be integrated into various academic and administrative processes. This part of the document aims to illustrate the diverse applications of AI, encouraging faculty and staff to explore AI tools that best fit their educational and administrative needs. In the Classroom, AI tools assist in content generation, such as generating text, images, music, and videos to enhance learning experiences. In Administration and Management, AI assists with grammar checks, rewriting, and citation management and streamlines scheduling, resource allocation, and data analysis, improving efficiency and decision-making.

Part VII outlines the upskilling program designed to equip stakeholders with the skills and guidelines for ethical AI use. The training covers mySOUL Updates, Responsible Technology Use, AI, and Innovations in Teaching and Learning. Sessions are available for Teachers, Staff, Students, Parents, and Senior Citizens in Online, In-Person, and Hybrid formats. Additionally, the section details self-paced AI training through the Silliman Open Online Course (SOOC) platform, utilizing micro-learning strategies. Furthermore, Part VII describes a virtual training room for faculty and staff, providing resources, recorded sessions, and information on upcoming events.

Part VIII details the various initiatives and activities undertaken by the university to integrate AI into its educational and administrative processes. It includes a timeline of events, seminars, workshops, and conferences to enhance AI literacy and practical implementation within the university community. These initiatives are aimed at teachers, students, staff, and the larger community, highlighting the university's commitment to fostering an environment of continuous learning and innovation through the responsible use of AI.

Part IX offers definitions of technical terms to help readers better understand the guidelines.