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Tanya Mitropoulos; Diana Bairaktarova; Scott Huxtable – Journal of Engineering Education, 2024
Background: Undergraduate students consistently struggle with mastering concepts related to thermodynamics. Prior work has shown that haptic technology and intensive hands-on workshops help improve learning outcomes relative to traditional lecture-based thermodynamics instruction. The current study takes a more feasible approach to improving…
Descriptors: Engineering, Engineering Education, Difficulty Level, Learning
Shanachilubwa, Kanembe; Sallai, Gabriella; Berdanier, Catherine G. P. – Journal of Engineering Education, 2023
Background: While studies examining graduate engineering student attrition have grown more prevalent, there is an incomplete understanding of the plight faced by persisting students. As mental health and well-being crises emerge in graduate student populations, it is important to understand how students conceptualize their well-being in relation…
Descriptors: Engineering Education, Doctoral Programs, Doctoral Students, Well Being
Yang, Dazhi; Streveler, Ruth; Miller, Ronald L.; Senocak, Inanc; Slotta, Jim – Journal of Engineering Education, 2020
Background: Chi and colleagues have argued that some of the most challenging engineering concepts exhibit properties of emergent systems. However, students often lack a mental framework, or schema, for understanding emergence. Slotta and Chi posited that helping students develop a schema for emergent systems, referred to as schema training, would…
Descriptors: Heat, Thermodynamics, Scientific Concepts, Concept Formation
Wang, Qian; Ding, Yi; Yu, Qiong – Journal of Engineering Education, 2018
Background: The overarching goal of this study was to explore the underlying mechanism of solving statics or structural analysis problems by utilizing cognitive load theory to examine task characteristics (i.e., the characteristics of instructional materials) with a focus on working memory load (WML) and automaticity. Purpose/Hypothesis: According…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Computation
McCord, Rachel E.; Matusovich, Holly M. – Journal of Engineering Education, 2019
Background: The use of metacognition is critical to learning, especially in fields such as engineering that involve problem-solving and difficult conceptual material. Due to limitations with current methodological approaches, new methods are needed to investigate engineering students' metacognitive engagement in learning situations that are…
Descriptors: Metacognition, Engineering Education, Problem Solving, Learning Processes