Conference Session

Multidisciplinary Outreach and Early Transdisciplinary Courses

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paula Ann Monaco, Texas Tech University; Aimee Cloutier, Texas Tech University; Guo Zheng Yew, Texas Tech University; Maeghan Marie Brundrett, Texas Tech University; Dylan Christenson, Texas Tech University; Audra N. Morse, Texas Tech University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

possess patience and good soft skills which require practice,determination and perseverance. These are traits that cannot be mastered through lessons aloneand require time and experience to develop the needed mastery. The authors have accepted results with p-values of up to 0.10 to be statistically significant.While 𝑝 ≤ 0.05 is a commonly used statistical significance borderline in rejecting or failing toreject a null hypothesis (i.e. there is no increase in self-assessment ratings), working with smalldata sets means that – all else being equal – the standard errors calculated will be greater thanthose for large data sets. This causes p-values to exceed 0.05, which indicate a weaker evidenceagainst the null hypothesis just by virtue of having

Conference Session

Multidisciplinary Academic Programs

Collection

2016 ASEE Annual Conference & Exposition

Authors

Amy S. Van Epps, Purdue University, West Lafayette; Iryna Ashby, Purdue University, West Lafayette; Colin M. Gray, Purdue University, West Lafayette; Marisa Exter, Purdue University, West Lafayette

Tagged Divisions

Multidisciplinary Engineering

. • Affordable education: elimination of redundancies across domains, embedded assessment, and validation of external learning enable a reduction in the financial burden on students and their families. • Flexible curriculum: a shift towards demand-driven education allows the faculty to focus on being facilitators of learning.2 • Mentoring and coaching: flexible curricula allow faculty to work with individual students and develop stronger learning domain and soft skills than may be possible within a traditional educational model.2• Student learning and professional outcomes • Clear and verifiable descriptions of students’ knowledge, skills, and abilities: unlike a traditional transcript that does not show

Conference Session

Multidisciplinary Effects on Student Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

Katherine Ortegon, Universidad Icesi

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

with engineeringtechniques and problem solving; and a set of “soft skills” associated with professional practiceand work environment skills. Although the means to develop each of these hard and professionalskills individually has been discussed in the past, since the creation of the ABET accreditationsystem, educational research has been centered on assessment methods and learning methods toimprove the attainment of (a)-(k) outcomes in students.2,3,4 Little attention has been given tolearning strategies that develop multiple student outcomes in an integrated way and theassessment and impact of real-world learning experiences on the developing of multi-outcomes.5,6The Solar Decathlon competition is one example of a variety of alternatives