Examples of good practice in integrating artificial intelligence tools and systems into the curriculum

1. Introduction

The following examples of good practice in the integration of artificial intelligence refer to various courses within higher education curricula. Each example demonstrates how artificial intelligence tools and systems are incorporated into an individual course, while the curriculum provides a broader framework for their interconnection and organization within the educational program.

The integration of artificial intelligence in higher education includes several dimensions: developing digital and data literacy, encouraging ethical and responsible technology use, supporting learning and assessment processes, and enhancing teaching quality through personalised approaches and innovative methods.

Examples of good practice from four higher education institutions are analysed below:

• ACUE (Association of College and University Educators)

• University of Florida (CITT – Center for Instructional Technology and Training)

• Miami University (Howe Center for Writing Excellence)

• Arizona State University (Learning Experience Design Unit).

Each institution offers a specific approach to integrating AI into the teaching process, providing insight into how technology can enrich course content, improve teaching methods, and support various forms of formative and summative assessment.

These examples serve as models of good practice that can guide the development and adaptation of curricula at other higher education institutions, aiming to ensure high-quality, modern, and ethically responsible education in the era of AI.

1.1. ACUE (Association of College and University Educators)

In practice, artificial intelligence is used to generate ideas, create initial drafts, or propose solutions. Students are then expected to critically analyse and refine the results, clearly indicating the role that AI played in their work. This process encourages the development of critical thinking, academic integrity, and responsible use of technology.

The curriculum also includes activities that develop reflective and metacognitive skills, encouraging students to consider how artificial intelligence affects their learning process, creativity, and decision-making. This approach connects the ethical, technical, and pedagogical aspects of integrating artificial intelligence into higher education.

🔹 Why this is an example of good practice:

• ACUE provides a clear pedagogical framework that balances innovative uses of technology with ethical and educational principles.

• It models responsible use of artificial intelligence that can be adapted to different disciplines and levels of study.

• It encourages students to develop awareness of their own thinking and creative processes, thereby strengthening their autonomy and digital competence.

🔹 What other teachers can adopt:

• Clear guidelines for defining the role of artificial intelligence in student assignments.

• Reflective activities in which students think critically about their use of technology.

• The use of artificial intelligence as a support for learning, not a replacement for it.

More about their guidelines and examples can be found on their website:
ACUE – Best Practices for AI Assignments

1.2. Miami University

The curriculum includes reflective activities in which students analyse how using AI affects their writing, expression, and argumentation processes, and consider ethical issues related to authorship, originality, and academic integrity.

This approach does not view AI simply as a technical aid, but as a partner in the learning process, helping students self-regulate and develop metacognitive skills. Teachers encourage students to clearly indicate when and how they have used AI, which further strengthens awareness of responsible and transparent technology use.

🔹 Why this is a good practice:

• AI is used as a pedagogical tool to develop an in-depth understanding, not as mere technical support.
• The student’s role is active and reflective – they learn to recognize the benefits and limitations of technology in an academic context.
• Academic integrity, critical thinking, and independent writing are emphasized.

🔹 What other teachers can do:

• The inclusion of reflective tasks that encourage reflection on the role of artificial intelligence in learning and writing.
• Setting clear guidelines for transparent use of technology.
• Developing activities that connect technical and ethical aspects of the use of artificial intelligence.

More about Miami University’s approach can be found at:

Miami University – Integrating AI to Guide Learning

1.3. University of Florida

Within the curriculum, students use AI tools to generate project plans, self-assess, and compare their solutions with technology-generated proposals. This approach encourages active and reflective learning, enabling students to recognise the advantages and limitations of AI systems.

The curriculum clearly defines rules and ethical guidelines for AI use, ensuring that students develop critical thinking skills, academic integrity, and independence. Across the broader curriculum, AI is incorporated through workshops and training on responsible technology use, further supporting the development of digital and data literacy.

Evaluation in these courses includes assessment of student understanding, reflective skills, and critical approaches to AI tools, contributing to the development of digitally competent and ethically aware professionals.

🔹 Why this is a good practice:

• It connects the technical, ethical, and pedagogical aspects of AI integration.

• It emphasises critical self-assessment and responsible technology use in learning.

• It incorporates AI at two levels: in daily course activities and in strategic curriculum development.

🔹 What other teachers can do:

• Introduce clear guidelines for AI use in teaching activities.

• Develop self-assessment tasks that use technology to encourage reflection.

• Organise workshops on the ethical and responsible use of AI.

More detailed information is available here:

University of Florida – AI in Course Design

1.4. Arizona State University

Artificial intelligence tools and assistants provide students with personalised support through real-time feedback and assistance with assignments and learning planning. The course curriculum includes student interaction with AI systems that promote self-regulation, reflection, and progress tracking. Artificial intelligence is also used in formative assessment and self-evaluation processes, encouraging the development of responsibility and independence in learning.

In the broader context of the curriculum, ASU develops comprehensive digital transformation strategies based on artificial intelligence technologies, including teacher education, research on tool effectiveness, and the integration of ethical issues at all levels of the educational process.

The curriculum at this institution strongly emphasises the development of digital and data literacy, critical thinking, and ethical responsibility in using artificial intelligence as an integral part of the modern educational experience.

🔹 Why this is an example of good practice:

• It represents a comprehensive and systematic approach to integrating artificial intelligence, from teaching activities to the institutional level.

• Technology is used to personalise learning and improve the quality of feedback to students.

• It emphasises an inquiry-based and ethical approach, connecting education, science, and responsible technology.

🔹 What other teachers can do:

• Apply artificial intelligence tools for formative assessment and self-evaluation.

• Incorporate artificial intelligence into Learning Experience Design.

• Integrate education on the ethical use of technology into the curriculum of their courses.

Details are available at:
Arizona State University – AI Integration

2. Conclusion

Integrating AI into curricula and teaching plans is a crucial step in modernising and humanising higher education. Examples from ACUE, the University of Florida, Miami University, and Arizona State University illustrate different yet complementary approaches to applying AI technologies that foster technological innovation, develop digital and data literacy, and promote students' ethical and critical awareness.

In these cases, AI serves not only as technical support but also as a pedagogical tool that enriches class content, improves teaching and assessment methods, and enables personalised and reflective learning. Such integration helps educational institutions remain relevant, adaptable, and socially responsible in an era of rapid technological change.

To ensure the effective and ethical use of AI, it is essential to continuously revise curricula, support teachers' professional development, and incorporate reflective practices that connect technological competence with pedagogical purpose.

Ultimately, the goal is not merely to introduce new tools, but to create an environment where technology supports human learning, creativity, and responsibility – the core values of education in the era of artificial intelligence.