On June 4th, at 4 p.m., a session of ISEP Webinars will take place, organized by Instituto Superior de Engenharia do Porto (ISEP).
This seminar will feature Tommy Tanu Wijaya, who will explore the theme “AI Literacy and Trust Among Mathematics Teachers: Their Relationship with AI Dependency”.
To access the seminar, please click here.
Abstract
Artificial Intelligence (AI), especially generative AI, has brought many benefits to education, like making math lessons more personalized and helping teachers analyze student data more effectively. However, not all math teachers have the same level of understanding or trust in AI, and some may become too dependent on it. This can affect how well they develop important skills like confidence, problem-solving, critical thinking, creativity, and teamwork.
We looked at 489 math teachers in China to see how their AI knowledge, trust in AI, and reliance on AI relate to these key skills. Using a method called latent profile analysis, the study identified five different groups of teachers based on their AI experience and attitudes. These ranged from basic users to experts who feel confident using AI.
The results showed that as teachers became more knowledgeable and trusting of AI, they also tended to rely on it more but this often came with a drop in their own confidence and other important skills. The study highlights that while AI can be a great tool, relying on it too much can be harmful. Schools and policymakers need to find a balance so AI supports teachers without taking away their ability to think critically and solve problems on their own
Bio
Assist. Prof. Tommy Tanu Wijaya PhD is a dedicated mathematics educator and researcher from Indonesia, currently serving as a Junior Researcher at the National Research Institute for Mathematics Teaching Materials in Beijing, China. He is also the Head of Academic Affairs at the Mathematics Course Maker Space at Guangxi Normal University, China. Tommy holds a Postdoctoral Fellowship at Beijing Normal University.
He earned his Ph.D. in Mathematics Education from Beijing Normal University, following a Master’s Degree from Guangxi Normal University and an undergraduate degree from IKIP Siliwangi. An accomplished scholar, Tommy has authored 89 Scopus-indexed documents with an H-index of 18. His skills include proficiency in a range of software tools such as fsQCA, MPLUS, AMOS, and Vosviewer, which complement his extensive experience in academic and educational settings.