The development of procedural knowledge in students, i.e., the ability to effectively solve domain problems, is the goal of many instructional initiatives in engineering education. The present study examined learning in a rich learning environment in which students read text, listened to narrations, interacted with simulations, and solved problems using instructional software for thermodynamics. Twenty‐three engineering and science majors who had not taken a thermodynamics course provided verbal protocol data as they used this software. The data were analyzed for cognitive processes. There were three major findings: (1) students expressed significantly more cognitive activity on computer screens requiring interaction compared to text‐based screens; (2) there were striking individual differences in the extent to which students employed the materials; and (3) verbalizations revealed that students applied predominantly lower‐level cognitive processes when engaging these materials, and they failed to connect the conceptual and procedural knowledge in ways that would lead to deeper understanding. The results provide a baseline for additional studies of more advanced students in order to gain insight into how students develop skill in engineering.

Conceptual and procedural knowledge are two mutually-supportive factors associated with the development of engineering skill. The present study extends previous work on undergraduate learning in engineering to provide further validation for an assessment paradigm capable of quantifying engineering students' conceptual and problem-solving knowledge. Eight students who were enrolled in an introductory thermodynamics course and four who were enrolled in the course sequel provided verbal protocol data as they used instructional software. They were compared to existing data from a cohort of eleven science and engineering majors who had not taken thermodynamics. The results replicated earlier findings showing more cognitive activity on computer screens requiring overt user interaction compared to text-based screens. The data also indicated that higher-versus lower-performing students, based on course grades, engaged in more higher-order cognitive processing. There was no evidence that students gained deeper cognitive processing as they advanced through the engineering curriculum.

where he currently serves as the Ray Butler Distinguished Educator. Since returning to the faculty after several different administrative assignments, including Departmental Chairman, Assistant Dean, and Director of the TTU Teaching, Learning and Technology Center, he has focused upon engineering student learning research with an eye upon how to use these findings to improve traditional and computer-based learning.