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Nathan Mentzer; Elnara Mammadova; Adrie Koehler; Lakshmy Mohandas; Shawn Farrington – Educational Technology Research and Development, 2025
During COVID, HyFlex gained popularity and became a "new normal" that educators need to consider as an effective instructional approach. Previous research offers conflicting findings related to the impact of HyFlex instruction on students' basic psychological needs and academic performance. Our investigation provides insight into a…
Descriptors: Psychological Needs, Academic Achievement, Pandemics, COVID-19
Wilkins, Jesse L. M. – Journal of Experimental Education, 2016
Quantitative literacy (QLT) represents an underlying higher-order construct that accounts for a person's willingness to engage in quantitative situations in everyday life. The purpose of this study is to retest the construct validity of a model of quantitative literacy (Wilkins, 2010). In this model, QLT represents a second-order factor that…
Descriptors: Undergraduate Students, Numeracy, Construct Validity, Models
Lince, Ranak – Journal of Education and Practice, 2016
Mathematical ability of students creative thinking is a component that must be mastered by the student. Mathematical creative thinking plays an important role, both in solving the problem and well, even in high school students. Therefore, efforts are needed to convey ideas in mathematics. But the reality is not yet developed the ability to…
Descriptors: Creative Thinking, Thinking Skills, Mathematics Skills, Secondary School Mathematics

Mulvenon, Sean W.; Stegman, Charles; Thorn, Antoinette; Thomas, Shawn – Journal of College Admission, 1999
Results of two surveys completed by scholarship recipients revealed that ACT scores and class ranking were important predictor variables for success in college. This study also showed a strong correlation between high school grade point average and freshman grade point average. (MKA)
Descriptors: Academic Achievement, Class Rank, College Admission, Grade Point Average

Thomas, Gail E. – Higher Education, 1980
A study of college entry for race and sex groups by the Blau and Duncan status attainment model is evaluated. Variables were: (1) family status, (2) standardized test performance, (3) senior rank, (4) high school curriculum, (5) significant others, (6) perceived college ability, (7) educational expectations, and (8) college attendance. (Author/MLW)
Descriptors: Blacks, Class Rank, College Admission, College Attendance

Moline, Arlett E. – Research in Higher Education, 1987
Path analysis was used to explore the relationships among a number of variables related to student persistence. The subjects were freshmen in the College of Liberal Arts, University of Minnesota. Variables that showed the largest total effects on persistence were college grade-point average and high school rank. (Author/MLW)
Descriptors: Academic Persistence, Class Rank, College Students, Data Analysis

Campbell, Richard T. – Sociology of Education, 1983
This paper analyzes Jencks et al's (1983) and Hauser et al's (1983) reports of their research on the Wisconsin status attainment model. For example, the meaning and interpretation of "unmeasured" family background are discussed and the charge that the status attainment model ignores social structure is examined. (Author/IS)
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration

Jencks, Christopher; And Others – Sociology of Education, 1983
Data from Project Talent are utilized to assess the representativeness of the samples used in the Wisconsin and the Exploration in Equality of Opportunity (EEO) surveys. Adequacy of the measures of academic aptitude and aspiration used in the surveys are examined, and problems with the Wisconsin model are briefly discussed. (RM)
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration

Hauser, Robert M.; And Others – Sociology of Education, 1983
An analysis of the Wisconsin model of achievement asks how powerful this model is in accounting for social influences, aspirations, and attainment when measurement error is taken into account. Revised estimates show support for the Wisconsin model. A revised model is even more powerful for explaining educational and occupational achievement.…
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration