Metacognition is the process of “thinking about thinking” such that individuals learn methods to understand the way that they learn, what they are lacking in their current learning strategies, and how to improve. Metacognition is an important dimension of problem solving because it allows problem solvers to analyze problems and find viable solutions. In design and manufacturing, problem solving focuses on optimizing the product design and improving the production process. In this paper, we discuss the development of physical simulation games to evaluate metacognitive awareness in industrial engineering students. In order to develop metacognitive awareness, students participate in group manufacturing simulations and each group evaluate the work of other groups. Metacognitive awareness inventory (MAI) is used to evaluate the metacognitive awareness of the students before and after their participation in the simulation activities. MAI is an instrument designed to assess general self-regulated learning skills. The instrument has 52 items that are classified by type of cognitive knowledge: declarative (DK), procedural (PK), and conditional (CK); or by specific metacognitive process: planning (P), information management strategies (IMS), monitoring (M), debugging strategies (DS), and evaluation (E). Results show that the students improved their metacognitive awareness for all the MAI categories. However, only the improvement in the last three categories (i.e., M, DS, and E) was statistically significant.
|Original language||English (US)|
|Journal||ASEE Annual Conference and Exposition, Conference Proceedings|
|State||Published - Jun 15 2019|
|Event||126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019 - Tampa, United States|
Duration: Jun 15 2019 → Jun 19 2019
All Science Journal Classification (ASJC) codes