Tech Innovation for Modern Learning

The Impact of Generative Artificial Intelligence on Teaching and Learning in Higher Education

Introduction

Technology plays a major role in shaping education and in the way that students learn. One of the most recent technological innovations that has gained attention within higher education is the use of generative artificial intelligence (AI). These tools such as ChatGPT or Microsoft CoPilot are capable of generating written responses, assisting with research, writing tasks and even answering questions. Due to these tools being easily accessible, there are many college students who have begun using them to help complete their academic work.

While generative AI has the potential to support learning, this type of technology has also raised concerns among many educators. Some instructors have begun to worry that students may begin to rely too heavily on AI tools to complete their assignments rather than developing their own writing skills and critical thinking skills. At the same time, AI can serve as a learning support tool when they are used appropriately. Students can use AI to brainstorm ideas, clarify difficult concepts, and even receive feedback while working on assignments.

Understanding how AI affects teaching and learning is going to be especially important for those who are studying educational technology. Thinking about frameworks like Technological Pedagogical Content Knowledge (TPACK) and the SAMR model really emphasize how technology should be used to enhance learning, rather than replacing the important learning processes. This paper examines the impact of generative AI within higher education by reviewing current research, analyzing how it impacts teaching and learning, and proposing strategies for integrating AI in a way that supports meaningful learning for students.

Background

As generative AI tools have become more widely available, researchers began to examine their effects within higher education. One study by Lee et al. (2024) explored educator’s perspectives on the use of generative AI within teaching and learning. This study found that many instructors recognized the potential benefits of AI, such as assisting with course preparations, generating learning materials, and even helping students receive faster feedback. However, the study also highlighted several concerns, including the possibility of students submitting AI-generated course work and the difficulty that instructors would face when they are trying to evaluate if it’s authentic student learning. Lee et al. (2024) reported that some educators believe generative AI will likely change how assignments are designed and how student learning is being assessed. Rather than relying only on traditional written assignments, instructors might need to create new types of activities that encourage students to engage more actively in the learning process.

Another study done by Wang et al. (2023) examined how AI technologies can affect international students within higher education. According to these researchers, AI tools such as these new chatbots and writing assistants can help international students overcome the language barriers and possibly improve their academic writing. These tools can provide explanations, assist with grammar, and help students better understand course materials. Although AI tools can support learning in these new and different ways, Wang et al. (2023) also stressed that students still need to develop those important academic skills on their own. An overreliance on AI may prevent students from practicing critical thinking skills, research skills, and even independent problem solving. As a result of this, educators must try to carefully consider how AI tools are incorporated into their learning environments.

Analysis

This introduction of these generative AI tools may have significantly changed how students approach learning tasks and assignments. One of the biggest changes that can be seen within the writing process. In many college courses, writing assignments are there to help students develop their critical thinking skills and also learn how to organize and communicate their ideas. With generative AI tools that are capable of producing essays and summarizing information quickly, many students may be tempted to rely on AI rather than actually completing the work themselves.

According to Lee et al. (2024), many educators are concerned that generative AI could also reduce student engagement with the course material if it is being used improperly. When students rely on AI-generated responses without fully understanding the information that they are being given, they may miss the opportunities to develop important academic skills. This would then create challenges who are trying to assess whether students truly understand the course material. Despite these concerns, generative AI can offer valuable educational benefits for students and educators. When AI is used responsibly, these tools can act as learning assistants that might support students during the research and writing process. For example, students can use AI to brainstorm ideas, generate an outline, or even ask questions about difficult or confusing topics. This type of support can help students feel more confident when they are starting assignments or studying difficult material.

Wang et al. (2023) also highlights the potential benefits of AI for diverse student populations. For international students, these AI tools can help them to improve their writing clarity and assist with them understanding the academic language. This can possibly make learning more accessible and help students participate more in their coursework. Overall, generative AI is changing both teaching and learning experiences. While this technology has the potential to improve access to information and provide any additional learning support for students. It also requires educators to rethink how some assignments are designed and how learning is being evaluated.

Proposed Solutions

Instead of attempting to completely prevent the use of these generative AI tools, educators should try focusing on teaching students how to use these tools responsibly and effectively. One possible solution is to try incorporating AI Literacy into course introductions. AI literacy would involve helping students understand how these AI tools work, what the limitations are, and how they can evaluate the information that is produced by these tools. One approach that instructors could implement into their coursework is the use of AI reflection assignments. For this type of assignment, the students would be allowed to use these AI tools to help brainstorm or organize some of their ideas. But, they must also submit a reflection that explains how they used their AI tool and what changes they made to the generated content. This would encourage students to think critically about the information provided by the AI tools, rather than simply copying it.

Another strategy that could be implemented, would be using process-based assessments. Instead of just focusing on grading only the final assignment, instructors can evaluate several different stages of students' work such as outlines, drafts, peer reviews, and even revisions. This approach would allow instructors to see how the students developed their ideas over time and it ensures that the students are actively involved in the learning process. Instructors can also try and create some AI evaluation activities where students analyze AI-generated responses and identify biases and errors. For example, students can compare an AI-generated explanation that includes scholarly sources and discuss whether the information that is in that explanation is accurate. This type of activity would help students develop stronger critical thinking skills while learning about the strengths and limitations of AI tools. By implementing these types of strategies, instructors within higher education can help students use AI in ways that support learning rather than replace it. The goal is to encourage students to use technology as a tool for learning while they are still developing their own ideas and skills.

Conclusion

These generative AI technologies are rapidly becoming part of higher education. These tools, such as ChatGPT and Microsoft CoPilot, provide new opportunities for students to receive writing support, explore ideas, and even access information quickly. Research conducted by Lee et al. (2024) and Wang et al. (2023) shows that while these AI tools has the potential to improve learning and accessibility, it would also raise the concerns that are related to academic integrity and student skill development. Because of these challenges, instructors have to find ways to start integrating AI into learning environments. By teaching AI literacy, redesigning assignments that focus on the learning process while encouraging students to critically evaluate AI-generated information, instructors can help ensure that technology enhances students' learning, rather than replacing it.

References

Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6, Article 100221. https://doi.org/10.1016/j.caeai.2024.100221

Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716