Microsoft Copilot is an AI-powered assistant integrated into Microsoft 365 applications and services, including Word, Excel, Outlook, and Teams. At Penn State, Copilot is available as part of the university’s institutional Microsoft 365 license—offering real-time, context-aware support and creativity aids for both instructors and students. Copilot can help generate, summarize, and organize content; suggest data analyses and visualizations; and provide intelligent feedback during academic work. Responsible and critical use of Copilot serves to amplify productivity while reinforcing academic skills and ethical research practice.
- Critical thinking and evaluation: encourage students to critically assess Copilot’s suggestions, validating facts and considering AI limitations.
- Information literacy: leverage Copilot to foster discussions about source evaluation, citation, and academic integrity when using AI-generated content.
- Augmented learning: use Copilot to explain complex topics, generate examples, or scaffold learning, while prompting students to seek understanding beyond the AI’s immediate responses.
- Personalized learning: offer differentiated exercises or targeted explanations to individual students, supporting learning at multiple levels.
- Scaffolding: provide AI-generated support for students facing complex tasks in research, writing, or data analysis.
- Brainstorming and ideation: spark ideas for research topics, projects, or experimental approaches.
- Writing assistance: suggest improvements and alternatives in scientific or expository writing.
- Data analysis and visualization: generate summaries, detect trends, and create visualizations in Excel or other data-rich assignments.
- Problem-solving: guide students through step-by-step solutions in coding, math, or analytical tasks.
- Research support: use Copilot to help find scholarly sources, summarize articles, or formulate research questions (while verifying results independently).
- Lab report assistance: receive structured prompts and feedback on clarity, scientific language, or organization in lab writing.
- Experimental design: brainstorm possible variables or methodologies for capstone or laboratory experiments.
- Code explanation and debugging: in computer science or quantitative courses, use Copilot to explain code snippets, identify errors, or improve syntax.
- Question generation: create personalized practice questions or discussion prompts from course material to support active study.
- Lecture preparation: generate outlines, preview recent research, or draft visual aids and examples for class sessions.
- Grading assistance: draft rubric-aligned feedback comments or general suggestions for improving assignments, while retaining professional judgment and transparency.