Conference Session

Industrial Engineering Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

McKenzie Landrum, University of Florida; Austin Hayes, University of Florida; Josefina Giamichelle; Sima Sabahi, University of Florida; Sanaz Motamedi, University of Florida

Tagged Divisions

Industrial Engineering

researchwas originally conducted in 1997 and software tools and applications have grown significantlysince then. In addition, this study did not do any statistical analysis to evaluate the results oftheir work [6].To measure how students felt about the course, we measured self-efficacy - an individual's beliefin their capacity to execute behaviors necessary to produce specific performance attainments [7].If during the introduction of a new software the student becomes discouraged, they will likelydevelop a negative attitude towards the use of such software as well as a negative attitudetowards learning software in the future [8]. Discouraged students do not feel confident abouttheir knowledge and over time this leads to a decrease in their self

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lisa Bosman, Purdue University at West Lafayette; Nathalie Duval-Couetil, Purdue University at West Lafayette

Tagged Divisions

Industrial Engineering

. Yet, an example of theoretical framingis provided here to give instructors a starting point. Ambrose et al. [9] provide compellingjustification that motivation to learn is driven in large part by a combination of three factors: self-efficacy, seeing value, and a supportive environment. Self-efficacy refers to confidence in one’sability to successfully complete a task. Self-efficacy can manifest itself as confidence in currentknowledge, confidence in gaining access to knowledge (e.g., resourcefulness), or confidence inlearning new knowledge (e.g., growth mindset). Research suggests as self-efficacy increases, sotoo will motivation to learn [10]. Seeing value relates to a goal’s perceived importance; as seeingvalue increases, motivation to

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sanaz Motamedi, University of Florida; Kierra Marquis; Hannah Levine

Tagged Divisions

Industrial Engineering

affected.Estriegana conducted a study [8] which extended the TAM with the factors of perceivedefficiency, playfulness, and satisfaction. After analyzing the questionnaire results, theyconcluded that each newly introduced factor has a positive influence on the original TAMvariables [8].Salloum and his colleagues [17] performed an in-depth literature review on eLearning TAMextension factors in the last 12 years. The following factors showed up most frequently: systemquality, content quality, information quality, computer self-efficacy, subjective norm, enjoyment,accessibility, and computer playfulness. The pilot study and subsequent questionnaire revealedthat subjective norm has an insignificant impact on both perceived usefulness and perceived easeof use, and