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Direct linkChestnut, Eleanor K.; Zhang, Marianna Y.; Markman, Ellen M. – Developmental Psychology, 2021
How do children learn gender stereotypes? Although people commonly use statements like "Girls are as good as boys at math" to express gender equality, such "subject-complement statements" subtly perpetuate the stereotype that boys are naturally more skilled. The syntax of such statements frames the item in the complement…
Descriptors: Sex Stereotypes, Syntax, Gender Issues, Semantics
Karniol, Rachel; Artzi, Sigal; Ludmer, Maya – Journal of Psycholinguistic Research, 2016
Third and 5th grade Hebrew-speaking children performed two sentence completion tasks, one requiring the assignment of male, female, or gender-ambiguous names and the inflection of verbs for male-stereotyped, female-stereotyped, and gender-neutral activities, and the other task, of inflecting verbs for male- and female-stereotyped activities…
Descriptors: Grammar, Gender Differences, Verbs, Semitic Languages
Michael, Kurt Y.; Alsup, Philip R. – Journal of Research on Christian Education, 2016
Research focusing on science, technology, engineering, and math (STEM) education among conservative Protestant Christian school students is scarce. Crenshaw's intersectionality theory is examined as it pertains to religion as a group identifier. The STEM Semantic Survey was completed by 157 middle school students attending six different private…
Descriptors: Christianity, Protestants, Middle School Students, Student Attitudes
Download full textDavis, Kimberly E. Bryant – Journal of the American Academy of Special Education Professionals, 2014
The current global economy has led to an increase in the need for workers in the fields of science, technology, engineering, and mathematics (STEM). Underrepresented populations, such as students with disabilities, are being considered as one way meet the STEM workforce shortages. In order to increase students' participation in STEM careers, it…
Descriptors: Middle School Students, Disabilities, Student Attitudes, STEM Education
Brown, David W., Jr.; Albers, Peggy – Middle Grades Research Journal, 2014
How do fifth-grade students in a gifted class construct understandings of the opposite sex? In what ways do these constructions manifest in the visual texts created in literacy and language arts classrooms? This qualitative study integrated visual arts to understand how fifth-grade gifted students represented and perceived gender roles. Using…
Descriptors: Gender Differences, Grade 5, Academically Gifted, Qualitative Research
Christensen, Rhonda; Knezek, Gerald; Tyler-Wood, Tandra; Gibson, David – International Association for Development of the Information Society, 2013
The purpose of this paper is to determine whether the changes that were found to occur pre- to post intervention in students' cognitive structures (Mills, 2013; Knezek, Christensen, Tyler-Wood, & Periathiruvadi, 2013) continued to persist two years later. Major findings were: a) semantic perception of science and STEM as a career became more…
Descriptors: Middle School Students, Hands on Science, Science Instruction, Cognitive Processes
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
