One of the main challenges we face in our courses is that, at times, the content remains purely theoretical. Since we cover topics related to Machine Learning and Artificial Intelligence, we decided that students should not only learn the concepts but also have the opportunity to experiment with real AI tools to deepen their understanding of the material covered in class.
To carry out this activity, we structured it into three stages. In the first stage, we used the tool Skill Studio to design quizzes that allowed us to assess the students' initial knowledge of Artificial Intelligence. With the same tool, we also developed a lesson plan that we later implemented across all student groups.
In the second stage, we introduced the Teachable Machine platform, which enabled students to modify and work with the various elements involved in a machine learning process.
Finally, in the third stage, we guided the group through an ethical reflection on the use of these technologies. To facilitate this, we developed a ChatGPT-based assistant, which students interacted with to explore dilemmas and responsibilities associated with the use of Artificial Intelligence.
We evaluated three key variables in this project: learning, engagement, and technology use. For the learning and technology use variables, we observed statistically significant improvements, including a 15% increase in learning outcomes. As for engagement, although we analyzed several aspects, the data showed that it was not a statistically significant variable in our process.
As next steps, we plan to continue using both Teachable Machine and the GPT-based assistant, incorporating the feedback we received and expanding the assistant’s knowledge base to further enrich the educational experience.
To know more about this project
Professors in this episode:
Ramona Fuentes Valdéz
Ramona holds a degree in Computer Engineering from UABC and a Master’s in Computer Science from Tecnológico de Monterrey. She is currently an associate professor in the Department of Computer Science at the Querétaro campus. Her areas of interest include algorithms, computational mathematics, data science, and IT.
She has served as a reviewer for events such as Xignux Challenge, SIGCSE, EDUCON, CIIE, and NOVUS projects, in which she has participated since 2012. She has received awards including Inspirational Professor, Best Evaluated Professor, and has been recognized for educational innovation and teaching excellence.
Ramona has been a speaker at international forums such as COIL, IVEC, and CIIE, and serves as a volunteer and mentor in programs such as Líderes del Mañana, Women Leaders in STEAM, and Prepanet.
Since 2019, she has coordinated the “Patrones Hermosos” program, aimed at empowering middle and high school girls through the development of computational thinking. She has held various academic and leadership roles at Tecnológico de Monterrey and UABC, including department director, academic senator, and coordinator of graduate programs.