Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Jesus Oliver Ph.D., California State University, East Bay; Andrew Stanciulescu, California State University, East Bay

Tagged Divisions

Computers in Education

utilizingseveral validated questionnaire instruments. The total number of questions for the instrumentwas 20, 8 for self-efficacy, 3 for task attraction, 4 for perceived usefulness, 3 for user-experience,and 2 for effort regulation. The instrument was administered at the end of the differenttreatments. In addition to the following questions, the research team asked the participants fordemographic information such as age, grade point average, gender, and current year of study. The questions that measured the students’ self-efficacy, perceived usefulness, and effortregulation were based on the instrument developed by Boekaerts ​[26]​ titled the OnLineMotivation Questionnaires. These instruments included questions such as: “​How do you feel justafter

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joseph A. Lyon, Purdue University, West Lafayette; Aparajita Jaiswal, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

-survey measurements tounderstand how self-efficacy changed in terms of students modeling and simulation skills.Likewise, post-survey data was collected to understand how students experienced the MATLABLive environment. This has led the research to two research questions: (1) How did suchtechnology-supported scaffolded (MATLAB Live) modeling activity experiences impact studentself-efficacy regarding programming and computational modeling? (2) Based on student comfortlevel with programming (self-efficacy), how did students vary in their reported experiences ofMATLAB Live?BackgroundThe use of modeling is not new to engineering education, having been studied extensively withall levels and disciplines of engineering [3], [9], [10]. For this study

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

D. Cenk Erdil, Sacred Heart University; Darcy Ronan, Sacred Heart University

Tagged Divisions

Computers in Education

module of the rotation-based course RQ3: Does the rotation-based course impact career ambitions? RQ4: Do students in the rotation-based course see themselves as Computer Scientists and/or Engineers?4 Methodology & Data Sources4.1 Data SourcesA pilot study was crafted to monitor the impact of the rotation-based course on identified outcomes of interestduring the Fall 2020 semester using a pre-post-survey design. We build upon the work of a prior study (Erdil &Ronan, 2019) that tested the applicability of the SCCT theoretical framework and tested survey items measuringstudents’ career intentions (pre and post) and course satisfaction (post). Desiring to measure additional internalmediators related to self-efficacy and outcome

Conference Session

Computers in Education Division Technical Session 10: STEM Outreach

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Salah Alfailakawi, Kansas State University; Joshua Levi Weese, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

students. This study focused on a STEM outreach program for 6th–9th grade students with no previous CS skills. The program's micro controllers’ curriculum was used to test students’ capabilities for learning CT concepts, the program was translated into Arabic, and its schedules were adjusted to ensure that these changes did not alter the study significantly. Pre- and post-program self-efficacy surveys measured students' comprehension of CT concepts, but because this was the first time Kuwaiti students were introduced to this type of assessment, the students were confused about some of the concepts. Additionally, the students' acumen for the survey was highly influenced by their culture. Despite

Conference Session

Computers in Education Division Technical Session 10: STEM Outreach

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Afrin Naz, West Virginia University Institute of Technology; Mingyu Lu, West Virginia University Institute of Technology; Tommi Brooke Kenneda, West Virginia University Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

students’ intention to pursue STEM career will be assessed using Social Cognitive Career Theory. Students will take surveys about their intentions to pursue career in STEM disciplines prior to and after participating in the ambassadress program. The model of Social Cognitive Career Theory accounts for the development and influence of students’ self-efficacy, expected outcomes, and interests in STEM professions.Indicator 2 Parents will respond to a survey regarding their conceptions toward STEM before the ambassadress program, after they attend the “Family STEM Night,” and after the ambassadress program. Success will be indicated by positive changes in parents

Conference Session

Computers in Education Division Technical Session 8: Modulus Topics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Joshua Levi Weese, Kansas State University

Tagged Divisions

Computers in Education

- and post-self-efficacy surveys by Weese and Feldhausen [18], containing10 CT concepts (ALG, CON, DEC, IAI, USE, TAD, DAT, ABS, PAR, QUE). Instrument 3observed engagement and body language of the instructors and how concepts were deliveredthrough each session. Using a rubric based on Dr. Edward Desmarais’s presentationassessment rubric, using evaluation methods and the nine principles of good practice forassessing student learning [25]Storyboard-treeA storyboard tree is a technique to construct a MM by associate information based on amemorable story, promoting retrieval within the flow of a story. The idea of chaining theinformation as a story adopted from chain association method [2].Figure 1 presents a high-level overview of the primary

Conference Session

Computers in Education Division Technical Session 9: Pedagogical Tools

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Dylan Keifer Finch, Virginia Tech; Stephen H. Edwards, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. R. Lee, "Effects of an examiner’s positive and negative feedback on self- assessment of skill performance, emotional response, and self-efficacy in Korea: a quasi- experimental study," BMC medical education, vol. 19, no. 1, p. 142, 2019.[9] Wikipedia contributors, "Pedagogical agent," Wikipedia, The Free Encyclopedia, 21 December 2019. [Online]. Available: https://en.wikipedia.org/wiki/Pedagogical_agent. [Accessed 2 January 2020].[10] Wikipedia contributors, "Chatbot," Wikipedia, The Free Encyclopedia, 26 December 2019. [Online]. Available: https://en.wikipedia.org/wiki/Chatbot. [Accessed 2 January 2020].[11] J. Weizenbaum and others, "ELIZA---a computer program for the study of natural language communication between

Conference Session

Computers in Education Division Technical Session 10: STEM Outreach

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Afrin Naz, West Virginia University Institute of Technology; Mingyu Lu, West Virginia University Institute of Technology; Chase Broyles, West Virginia University Institute of Technology; Isabel Barrio Sanchez, West Virginia University Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

have designed variousinstruments to collect data throughout this project, as elucidated below. Female middle school andhigh school students’ intention to pursue STEM careers is being assessed using Social CognitiveCareer Theory. The model of Social Cognitive Career Theory accounts for the development andinfluence of students’ self-efficacy, expected outcomes, and interests in STEM professions.Parents respond to surveys before this project and after they attend the “Family STEM Night.”Success will be indicated by positive changes in parents’ conceptions toward STEM across time.According to the feedback we have collected, most of the participating female students findrobotics interesting, and most the participating female students respond that

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Robert Schaffer, Mission College; Varsha Reddy Kandi

Tagged Divisions

Computers in Education

. Due to these successful pilot implementations, the next step in the research will be toevaluate the value of this curricular design. In the Spring of 2020, the authors will begin toevaluate the impact of the inclusion of this technology on students’ learning as it relates to theirself-efficacy, motivation, degree of engagement, and sense of belonging. The evaluation planwill entail a series of pre-test and post-test experiments. All students will receive pre-testmaterial based on the dependent measures, which include self-efficacy, motivation, degree ofengagement, and sense of belonging. These measures have already been constructed andvalidated and will provide a baseline. The authors aim at using the surveys developed by theLawrence Hall of