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Generative AI for Students: Ethics & Academic Integrity · LearnSpace
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Generative AI for Students: Ethics & Academic Integrity

Курс от University of Glasgow
Средний≈ 9.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Generative AI for Students: Ethics & Academic Integrity is for university students in all subject areas who want to use generative AI tools responsibly in study, research and academic writing. The course introduces what AI tools can and cannot do, how they may support academic work, and where careful judgement is needed. You will explore issues such as plagiarism, authorship, academic integrity, bias, and data sensitivity, while developing a more critical and reflective approach to AI use. Through practical examples, you will learn how to evaluate AI tools, recognise their limits, and decide when and how they can be used appropriately in a university context. No prior technical knowledge is required, making the course accessible to learners from any discipline. By the end of the course, you will be better prepared to make informed choices about AI, use it in ways that support learning, and maintain good academic practice in your own work.

Навыки, которые вы освоите

Generative AIdigital literacyResponsible AIEthical Standards And ConductArtificial IntelligenceHuman Computer InteractionData EthicsAI literacyResearchIntellectual Property

Программа курса

3 модулей · 44 учебных материалов

01AI for Students: Using AI Tools in Study and Research14 материалов

Lesson 1: What Can / Can't Artificial Intelligence Do?

Course IntroВидеоStay connected with UofG OnlineЧтениеIntroduction to AI and Digital ToolsЧтениеExplore your own knowledge of / views on AIОбсуждение

Учитесь у экспертов

Andrew Struan

Dr

Caitlin Diver

Преподаватель курса

Jennifer Boyle

Преподаватель курса

Scott Ramsay

Dr

Generative AI for Students: Ethics & Academic Integrity
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Обучение на Coursera

≈ 9.3 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Китайский (Китай), Итальянский, Бразильский португальский, Корейский, Немецкий, Пушту, Индонезийский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский

Часть программы вашего университета
AI, GenAI and Digital LiteraciesЗадание
Lesson 1 recapВидео

Lesson 2: GenAI versus AI: Key Principles in Understanding Using AI

Different Types of AI and Gen AI ЧтениеWhat tools do you use and what are your key drivers?ОбсуждениеTypes of AI and uses of AIЗадание

Lesson 3: Using AI with Ethics

Tool limitations based on ethicsВидеоOver To You - Exploring GenAI ToolsЧтениеUsing AI with ethics in mindЗаданиеModule 1 complete!Видео

End of Module Assignment

End of module 1 assignmentЗадание
02AI Capabilities and Human Responsibilites16 материалов

Lesson 1: The Role of the Human and of AI

Welcome to module 2ВидеоOur Responsibilities and the AI’s Responsibilities in Study and ResearchЧтениеYour Role in Your WorkОбсуждениеYour responsibilities vs. the AI'sВидеоYour Role and AI's RoleЗадание

Lesson 2: Using AI Tools for Research and Study

GenAI Tools for Research and StudyЧтениеOver to you - finding AI tools that workЧтениеGenAI and You: What Do You Do?ОбсуждениеAI tools for research - Paper-finding toolsВидеоAI tools for research - Summarising toolsВидеоAI Tools for Research and StudyЗадание

Lesson 3: AI's Limitations; AI's Problems

The Costs of AI: Environmental, Human and SocialЧтениеThe Biases of AI: Understanding How AI's Biases WorkЧтениеAI's LimitationsЗаданиеModule 2 complete!Видео

End of Module Assignment

End of module 2 assignmentЗадание
03Academic Integrity14 материалов

Lesson 1: AI and the 'Other' AI: Academic Integrity

The Key Principles of Academic Integrity in an AI-WorldЧтениеOwnership, Plagiarism, and Academic IntegrityВидеоAI and AI: Academic Integrity and Artificial IntelligenceВидеоThe Changing Face of Academic Integrity in the Light of Generative AI ЧтениеAcademic Integrity and AIЗадание

Lesson 2: The Rules of AI in Research and Study

Journals, funding, and GenAIВидеоRevisited: Explore your own knowledge of / views on AIОбсуждениеAI and Your SubjectЧтениеThe Rules of AI in Your StudyЗадание

Lesson 3: Data and Information Security with AI

Reflection: considering data information and sensitivity in your area of studyОбсуждениеData and Rights to ConfidentialityВидеоCopyright and Intellectual PropertyВидео

End of Module Assignment

End of module 3 assignmentЗаданиеKeeping Learning with UofG OnlineЧтение