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Celeste Combrinck – Discover Education, 2024
The current article used real data to demonstrate the analysis and synthesis of Mixed Methods Research (MMR) data with generative Artificial Intelligence (Gen AI). I explore how reliable and valid Gen AI data outputs are and how to improve their use. The current content is geared towards enhancing methodological application regardless of field or…
Descriptors: Foreign Countries, College Freshmen, Engineering Education, Artificial Intelligence
Hanall Sung; Martina A. Rau; Barry D. Van Veen – IEEE Transactions on Learning Technologies, 2024
In many science, technology, engineering, and mathematics (STEM) domains, instruction on foundational concepts heavily relies on visuals. Instructors often assume that students can mentally visualize concepts but students often struggle with internal visualization skills--the ability to mentally visualize information. In order to address this…
Descriptors: Intelligent Tutoring Systems, Visualization, Measures (Individuals), Educational Development
Reeping, David; Taylor, Ashley R.; Knight, David B.; Edwards, Cherie – Journal of Engineering Education, 2019
Background: Mixed methods research designs in engineering education often frame the "mixed" aspect of the design from the perspective of data collection. However, intentional mixing throughout the research design--particularly during data analysis--may enable richer meta-inferences about a phenomenon. Purpose: This paper provides…
Descriptors: Mixed Methods Research, Program Evaluation, Engineering Education, Research Design
Howell Smith, Michelle C.; Babchuk, Wayne A.; Stevens, Jared; Garrett, Amanda L.; Wang, Sherry C.; Guetterman, Timothy C. – Journal of Mixed Methods Research, 2020
Mixed methods-grounded theory (MM-GT) has emerged as a promising methodology that intersects the value of mixed methods with rigorous qualitative design. However, recent reviews have found that MM-GT empirical studies tend to lack procedural details. The purpose of this article is to apply the "best practices" for conducting MM-GT in a…
Descriptors: Mixed Methods Research, Grounded Theory, Best Practices, Educational Research
Shekhar, Prateek; Prince, Michael; Finelli, Cynthia; Demonbrun, Matt; Waters, Cynthia – European Journal of Engineering Education, 2019
Engineering education researchers are increasingly integrating qualitative and quantitative research methods to study learning and retention in engineering. While quantitative methods can provide generalisable results, qualitative methods generate rich, descriptive understanding of the investigated phenomenon. On the other hand, a mixed methods…
Descriptors: Mixed Methods Research, Resistance (Psychology), Active Learning, Undergraduate Students
Malmi, Lauri; Adawi, Tom; Curmi, Ronald; de Graaff, Erik; Duffy, Gavin; Kautz, Christian; Kinnunen, Päivi; Williams, Bill – European Journal of Engineering Education, 2018
We investigated research processes applied in recent publications in the "European Journal of Engineering Education" (EJEE), exploring how papers link to theoretical work and how research processes have been designed and reported. We analysed all 155 papers published in EJEE in 2009, 2010 and 2013, classifying the papers using a taxonomy…
Descriptors: Engineering Education, Case Studies, Qualitative Research, Mixed Methods Research
Dancz, Claire L. A.; Ketchman, Kevin J.; Burke, Rebekah D.; Hottle, Troy A.; Parrish, Kristen; Bilec, Melissa M.; Landis, Amy E. – Advances in Engineering Education, 2017
While many institutions express interest in integrating sustainability into their civil engineering curriculum, the engineering community lacks consensus on established methods for infusing sustainability into curriculum and verified approaches to assess engineers' sustainability knowledge. This paper presents the development of a sustainability…
Descriptors: Sustainability, Engineering Education, Curriculum, Mixed Methods Research
Guloy, Sheryl; Salimi, Farimah; Cukierman, Diana; McGee Thompson, Donna – Higher Education: The International Journal of Higher Education Research, 2017
Using a design-based orientation, this mixed-method study explored ways to support computing science and engineering students whose study strategies may be inadequate to meet coursework expectations. Learning support workshops, paired with university courses, have been found to assist students as they transition to university learning, thereby…
Descriptors: Mixed Methods Research, Student Attitudes, Computer Science Education, Engineering Education
Morán-Soto, Gustavo; Benson, Lisa – International Journal of Education in Mathematics, Science and Technology, 2018
This mixed methods research study focuses on two relevant factors in students' decisions to pursue and complete an engineering major: mathematics preparation and mathematics self-efficacy. This study describes the relationship of mathematics self-efficacy on engineering students' performance, behavior, and attitudes in their first college…
Descriptors: Mixed Methods Research, Engineering Education, Majors (Students), Mathematics Skills
Dunn, Michelle; Loch, Birgit; Scott, Wendy – International Journal of Mathematical Education in Science and Technology, 2018
First-year engineering students often struggle to see the relevance of theoretical mathematical concepts for their future studies and professional careers. This is an issue, as students who do not see relevance in fundamental parts of their studies may disengage from these parts and focus their efforts on other subjects they think will be more…
Descriptors: Partnerships in Education, Mathematics, Engineering Education, Foreign Countries
Aguirre-Covarrubias, Sandra; Arellano, Eduardo; Espinoza, Penelope – New Directions for Higher Education, 2015
This chapter discusses a mixed-methods study of personal and programmatic factors that affected persistence of Latina graduate engineering students at a Hispanic-serving institution (HSI). The study's findings enabled us to share recommendations that may be useful to HSIs and other colleges and universities.
Descriptors: Hispanic American Students, Females, Mixed Methods Research, Academic Persistence
Ramey, Kay E.; Uttal, David H. – Journal of the Learning Sciences, 2017
Spatial thinking is important for success in engineering. However, little is known about "how" students learn and apply spatial skills, particularly in kindergarten to Grade 12 engineering learning. The present study investigated the role of spatial thinking in engineering learning at a middle school summer camp. Participants were 26…
Descriptors: Summer Programs, Middle School Students, Spatial Ability, Engineering Education
Rottmann, Cindy; Reeve, Douglas W.; Sacks, Robin; Klassen, Mike – Canadian Journal of Higher Education, 2016
Engineering leadership education has become increasingly popular over the past decade in response to national calls for educational change. Despite the growing popularity of the movement, however, reform efforts continue to be piecemeal in their delivery, driven largely by the priorities of program leaders who established them (Graham, 2012). If…
Descriptors: Engineering, Leadership, Higher Education, Engineering Education
Dargusch, Joanne; Harris, Lois R.; Reid-Searl, Kerry; Taylor, Benjamin A. – Distance Education, 2017
While online courses provide opportunities for a range of assessment tools and resources, little is known about how lecturers might best provide assessment cues to support diverse cohorts. This study explored how lecturers communicate messages about assessment expectations to first-year students in two courses at an Australian regional university…
Descriptors: Online Courses, College Freshmen, Foreign Countries, Lecture Method
Moler, Perry J. – ProQuest LLC, 2017
The purpose of this study was to understand what perceptions junior and senior engineering and technology students have about change, change readiness, and selected attributes, skills, and abilities. The selected attributes, skills, and abilities for this study were lifelong learning, leadership, and self-efficacy. The business environment of…
Descriptors: Student Attitudes, Engineering Education, Technology Education, Change