The method I choose is the inquiry-based learning method. This method is focused on students’ role in learning. In inquiry-based learning, they are encouraged to ask questions and share their ideas with the group. This kind of learning starts by posing questions, problems, or scenarios to the students and having them think for their own. It contrasts with traditional learning that just presents facts to students and asks them to remember the facts. Some benefits include that the inquiry-based learning is more fun for students and they will take ownership of their learning, which fosters engagement to the topic. Further, this type will help the student learn critical thinking and communication skills. They can use these skills in other subjects or even for the daily life [1].
Because our topic is AI, a part of computer science, I think this method is adequate. Inquiry-based learning is common and effective for studying science. For example, a study conducted on 5th graders studying science found that the students who were taught based on the Inquiry-Based Learning method scored significantly higher on their test after instruction [2]. Our goal is to teach middle school students to understand AI. They are only a bit older than the students studying science in the research study, so I think clearly the inquiry-based learning method could be suitable.
[1] “What Is Inquiry-Based Learning (And How Is It Effective)?” GradePower Learning, 28 May 2019, gradepowerlearning.com/what-is-inquiry-based-learning/.
[2] Abdi, Ali. “The Effect of Inquiry-Based Learning Method on Students’ Academic Achievement in Science Course.” Universal Journal of Educational Research, vol. 2, no. 1, 2014, pp. 37–41.
