Asee peer logo
Well-matched quotation marks can be used to demarcate phrases, and the + and - operators can be used to require or exclude words respectively
Displaying all 2 results

Active Learning Experiences with Embedded Systems, Instrumentation, and Control within and Outside the Classroom

Conference Session
Learning through Instrumentation: Experiences and Applications
Collection
2023 ASEE Annual Conference & Exposition
Authors
Abhijit Nagchaudhuri, University of Maryland Eastern Shore; Jesu Raj Pandya, University of Maryland Eastern Shore; Ayomikun Precious Adegunle; Jackson Mitchell Cuppett; Charles Raleigh; Isaac Omodia, University of Maryland Eastern Shore
Tagged Topics
Diversity
Tagged Divisions
Instrumentation Division (INST)
results (right)4.0 Assessment and Learning OutcomesLearning can be categorized into developing skills in the cognitive, affective, and psychomotordomains. Higher education focuses largely on the cognitive domain following Bloom’s taxonomy– knowledge, comprehension, application, analysis, synthesis, and evaluation [11]. ABEToutcomes for engineering education integrate developing student abilities in both the affectivedomain by emphasizing soft skills and the cognitive domain by promoting critical thinking andcreativity [12]. While lecture-based instruction is essential from the point of view of deliveringcontent knowledge appropriate for an engineering curriculum, blending active, cooperative, andproblem-based learning with course lectures
Relevance Score: 0.025561146

Python GUI for Data Acquisition

Conference Session
Instrumentation Methods and Techniques
Collection
2025 ASEE Annual Conference & Exposition
Authors
David R. Loker, Pennsylvania State University, Behrend College; Teck Meng (Jonathan) Liaw, Pennsylvania State University, Behrend College; Steven Nozaki, Pennsylvania State University, Behrend College
Tagged Divisions
Instrumentation Division (INST)
significant self-directed learning, including masteringnew programming environments (e.g., PySide6), understanding hardware communicationprotocols (e.g., I2C, SPI), and learning practical engineering skills such as PCB design andsoldering without formal coursework in these areas. This learning model emphasized situationalproblem-solving and adaptability—characteristics highly valued in engineering education.In addition to technical skill development (e.g., coding, GUI creation, system integration),students cited growth in soft skills such as technical documentation, team communication,meeting management, delegation of tasks, and professional accountability. The emphasis on self-reliance and perseverance, particularly in overcoming hardware-software
Relevance Score: 0.025561146