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Omar Abu-Ghalyoun; Adnan Al-Abed – Teaching Statistics: An International Journal for Teachers, 2024
This study investigates a range of non-normative ideas that pre-service teachers (PSTs) employ in reasoning about sampling variability. This issue was studied in the context of a content course on statistics and probability for pre-service middle grade teachers at a Midwestern American university. Analysis of seven PSTs' video and screen records…
Descriptors: Preservice Teachers, Middle School Teachers, Teacher Characteristics, Knowledge Level
Jones, Vinetta C.; Anderson, Kenneth Alonzo; Mahmood, Mohammad; Johnson, Ayanna – Urban Education, 2023
In this article, we review factors that are associated with science, technology, engineering, and mathematics (STEM) achievement and describe the development of the Predictors of Black Outcomes in STEM Survey (PBOSS). We retain a well-fitted three-factor model (engagement, continuity, and guiding functions) and find that the PBOSS scores are…
Descriptors: Predictor Variables, African American Students, Outcomes of Education, STEM Education
Ruth, Taylor K.; Rumble, Joy N.; Gay, Keegan D.; Rodriguez, Mary T. – Journal of Agricultural Education, 2016
Even though science says genetically modified (GM) foods are safe, many consumers remain skeptical of the technology. Additionally, the scientific community has trouble communicating to the public, causing consumers to make uninformed decisions. The Millennial Generation will have more buying power than any other generation before them, and more…
Descriptors: Agricultural Education, Student Attitudes, Food, Genetics
Andruska, Emily A.; Hogarth, Jeanne M.; Fletcher, Cynthia Needles; Forbes, Gregory R.; Wohlgemuth, Darin R. – Journal of Student Financial Aid, 2014
Using a data set that augments a student survey with administrative data from the Iowa State University Office of Financial Aid, the authors posed two questions: Do students know whether they have student loans? Do students know how much they owe on outstanding student loans? We used logistic and ordered logit regressions to answer these…
Descriptors: Student Loan Programs, Debt (Financial), Student Attitudes, Familiarity
Archbald, Doug; Farley-Ripple, Elizabeth N. – High School Journal, 2012
Educators and researchers have long been interested in determinants of access to honors level and college prep courses in high school. Factors influencing access to upper level mathematics courses are particularly important because of the hierarchical and sequential nature of this subject and because students who finish high school with only lower…
Descriptors: Academic Achievement, High Schools, Predictor Variables, Prediction
Wisely, Lynn Woodward – ProQuest LLC, 2013
This study examined the relationships of college knowledge and parent education level with these college-going beliefs: (a) self-efficacy, (b) outcome expectations, (c) likelihood both to go to and graduate from college, (d) choice intentions, and (e) educational goals. Social Cognitive Career Theory (Lent, Brown, & Hackett, 1994) provided the…
Descriptors: Middle School Students, Grade 8, Student Attitudes, Beliefs
Dissen, Anthony R.; Policastro, Peggy; Quick, Virginia; Byrd-Bredbenner, Carol – Health Education, 2011
Purpose: Little is known about interrelationships among nutrition knowledge, attitude, dietary intake, and body satisfaction, which are important variables that play a role in nutrition education interventions. This paper aims to focus on these interrelationships. Design/methodology/approach: Students (n = 279; 20.12 plus or minus 1.75SD years)…
Descriptors: Females, Nutrition, Predictor Variables, Young Adults
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers