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Mahadeo, Jonathan; Hazari, Zahra; Potvin, Geoff – ACM Transactions on Computing Education, 2020
This paper expands on knowledge of computing identity by building on what is known about prior identity models in science and mathematics education. The model theorizes three primary sub-constructs that contribute to the development of a computing identity: belief in one's performance/competence, interest, and recognition in computing. Drawing on…
Descriptors: Career Choice, Computer Science, Information Technology, College Students
Frezza, S.; Daniels, M.; Wilkin, A. – ACM Transactions on Computing Education, 2019
This research aimed at evaluating the development and use of low-cost affective domain assessment instruments, culminating with personal and group characterization of representative global information technology (IT) professional values. Values and valuing are a compelling component of Bloom's affective domain of learning for engineering…
Descriptors: Values, Information Technology, Affective Measures, Student Evaluation
McGill, Tanya; Armarego, Jocelyn; Koppi, Tony – ACM Transactions on Computing Education, 2012
The teaching-research nexus concept has been extensively examined in the higher education literature, and the importance of industry linkages in information and communications technology (ICT) education has also been widely discussed. However, to date there has been little recognition of the full extent of relationships between aspects of…
Descriptors: Teacher Researchers, Information Technology, Technology Education, Industry
Dahlberg, Teresa; Barnes, Tiffany; Buch, Kim; Rorrer, Audrey – ACM Transactions on Computing Education, 2011
The Students and Technology in Academia, Research, and Service (STARS) Alliance is a nationally-connected system of regional partnerships among higher education, K-12 schools, industry and the community with a mission to broaden the participation of women, under-represented minorities and persons with disabilities in computing (BPC). Each regional…
Descriptors: Grade Point Average, Self Efficacy, Academic Achievement, Leadership