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M. Coenraad; M. Hodge; P. Ruiz; K. Mills; Q. Burke – Digital Promise, 2021
This interview protocol includes five steps to conduct an empathy interview. In the Empathize Phase of designing an inclusive computing pathway, empathy interviews are conducted. Empathy interviews allow you to hear the stories and experiences of someone who will use what you are designing and learn about their realities, in this case, a student.…
Descriptors: Interviews, Questioning Techniques, Empathy, Design
Harsh, Matthew; Bal, Ravtosh; Wetmore, Jameson; Zachary, G. Pascal; Holden, Kerry – Minerva: A Review of Science, Learning and Policy, 2018
The emergence of vibrant research communities of computer scientists in Kenya and Uganda has occurred in the context of neoliberal privatization, commercialization, and transnational capital flows from donors and corporations. We explore how this funding environment configures research culture and research practices, which are conceptualized as…
Descriptors: Foreign Countries, Research Projects, Research Administration, Longitudinal Studies
Osmani, Mohamad; Weerakkody, Vishanth; Hindi, Nitham M.; Al-Esmail, Rajab; Eldabi, Tillal; Kapoor, Kawaljeet; Irani, Zahir – Tertiary Education and Management, 2015
Graduate employability has become an issue since there are broad mismatches between the acquired graduate skills from university and the required skills by employers. While previous researches have outlined the salient skills that need to be embedded in graduate education, to date no studies have attempted to methodically identify and synthesize…
Descriptors: Foreign Countries, Employment Potential, College Graduates, Trend Analysis
Sloan, Arthur; Bowe, Brian – Interchange: A Quarterly Review of Education, 2015
This paper presents a qualitative study of 12 computer science lecturers' experiences of curriculum design of several degree programmes during a time of transition from year-long to semesterised courses, due to institutional policy change. The background to the study is outlined, as are the reasons for choosing the research methodology. The main…
Descriptors: Curriculum Design, Computer Science Education, Computer Science, Phenomenology
Moral, Cristian; de Antonio, Angelica; Ferre, Xavier; Lara, Graciela – Information Research: An International Electronic Journal, 2015
Introduction: In this article we propose a qualitative analysis tool--a coding system--that can support the formalisation of the information-seeking process in a specific field: research in computer science. Method: In order to elaborate the coding system, we have conducted a set of qualitative studies, more specifically a focus group and some…
Descriptors: Coding, Qualitative Research, Information Seeking, Computer Science
Martin, Crystle – Knowledge Quest, 2017
Learning to code has been an increasingly frequent topic of conversation both in academic circles and popular media. Learning to code recently received renewed attention with the announcement of the White House's Computer Science for All initiative (Smith 2016). This initiative intends "to empower all American students from kindergarten…
Descriptors: Librarians, Role, Coding, Computer Science
Charleston, LaVar; Leon, Raul – Journal for Multicultural Education, 2016
Purpose: Self-efficacy and outcome expectations influence the development of career interests, which, in turn, affect career choices. This study aims to understand self-efficacy beliefs and expectancy outcomes for African-American graduate students and faculty with a focus in science, technology, engineering and mathematics (STEM) degree programs,…
Descriptors: Self Efficacy, STEM Education, Graduate Study, Career Choice
Genoways, Sharon K. – ProQuest LLC, 2017
STEM (Science, Technology, Engineering and Math) education creates critical thinkers, increases science literacy, and enables the next generation of innovators, which leads to new products and processes that sustain our economy (Hossain & Robinson, 2012). We have been hearing the warnings for several years, that there simply are not enough…
Descriptors: STEM Education, Student Interests, High School Students, Females
Lappalainen, Jouni; Rosqvist, Juho – International Journal of Mathematical Education in Science and Technology, 2015
This paper explores the ways students perceive the transfer of learned knowledge to new situations -- often a surprisingly difficult prospect. The novel aspect compared to the traditional transfer studies is that the learning phase is not a part of the experiment itself. The intention was only to activate acquired knowledge relevant to the…
Descriptors: Transfer of Training, Student Attitudes, Student Experience, Interdisciplinary Approach
Kodaseet, Glenda G.; Varma, Roli – Journal of American Indian Education, 2012
While a number of challenges contribute to the American Indian population's disconnect from information technology (IT), the most glaring is the low number of American Indian students pursuing computer science (CS) studies--a degree essential to IT's entry into and diffusion across communities. Yet, research is scant on factors that contribute to…
Descriptors: American Indians, American Indian Education, Information Technology, Computer Science
Sanders, Ian; Scholtz, Tamarisk – African Journal of Research in Mathematics, Science and Technology Education, 2012
Recursion is an important concept for any computer science student to master. Many first year students develop the viable "copies" mental model of recursion and can successfully trace the execution of a simple recursive function. This article discusses a study focused on determining whether the ability to successfully trace a recursive…
Descriptors: Mathematics, Mathematics Instruction, Computer Science, Mathematical Concepts
Craig, Cecilia Dosh-Bluhm – ProQuest LLC, 2014
The fields of engineering, computer science, and physics have a paucity of women despite decades of intervention by universities and organizations. Women's graduation rates in these fields continue to stagnate, posing a critical problem for society. This qualitative grounded theory (GT) study sought to understand how robotics programs influenced…
Descriptors: Robotics, Science Education, Females, Career Choice
Herman, Geoffrey L.; Zilles, Craig; Loui, Michael C. – Computer Science Education, 2011
We used both student interviews and diagnostic testing to reveal students' misconceptions about number representations in computing systems. This article reveals that students who have passed an undergraduate level computer organization course still possess surprising misconceptions about positional notations, two's complement representation, and…
Descriptors: Numeracy, Diagnostic Tests, Misconceptions, Teaching Methods
Herman, Geoffrey L.; Loui, Michael C.; Kaczmarczyk, Lisa; Zilles, Craig – ACM Transactions on Computing Education, 2012
The ability to reason with formal logic is a foundational skill for computer scientists and computer engineers that scaffolds the abilities to design, debug, and optimize. By interviewing students about their understanding of propositional logic and their ability to translate from English specifications to Boolean expressions, we characterized…
Descriptors: Interviews, Logical Thinking, Computer Science, Scientists
Dubuclet, Keisha Smith; Lou, Yiping; MacGregor, Kim – American Journal of Distance Education, 2015
This study investigated the impact of discussion forum design and facilitative strategies on student participation and cognitive levels of student dialogue. A multiple-case study design was used. Three online classes taught by the same instructor participated (n = 55). Data were collected from observations, discussion transcripts, and teacher…
Descriptors: Discussion, Student Participation, Dialogs (Language), Case Studies