Aptitude, Motivation, and Self-Regulation as Predictors of Achievement among Developmental College Students
Bibliographic record
Abstract
Abstract The primary purpose of the present study was to examine the validity generalization of aptitude as a predictor of achievement for developmental college students. A second purpose was to investigate students' motivational beliefs and perceived self-regulated learning skills as predictors of achievement. Results indicated a weak correlation between aptitude and achievement, accounting for only .52% of the variance in achievement. As such, developmental educators may be using a criterion for admission that accounts for less than 1% of the variance in achievement. Together, aptitude, self-regulated learning, and motivational beliefs explained approximately 15.2% of the variance in achievement. Implications for education are discussed. An estimated 650,000 students, or approximately one-third of the freshmen entering U.S. colleges and universities each year, are required to enroll in at least one developmental course in Reading, English, or Mathematics designed to prepare students to cope with college-level coursework (Boylan, Bonham, & Bliss, 1994). Measures of students' aptitude (ACT or SAT scores), their previous performance (high school grade point averages or class rank), or a combination of these factors traditionally have served as the basis for making decisions concerning admission and/or placement in developmental courses. Numerous studies have reported correlations between aptitude and academic performance in college coursework. Various researchers have studied the predictive validity of standardized measures of aptitude such as the ACT and SAT in content-area courses (Stallworth-Clark, Scott, & Nist, 1996), in undergraduate pre-service teachers' programs (Neal, Schaer, & Ley, 1990), and among female intercollegiate student-athletes (Petrie & Stoever, 1997). In these studies, SAT and ACT scores are predictive of course grades and semester grade-point-averages (GPAs). Harackiewicz, Barron, Tauer, and Elliot (2002) also reported that both aptitude and high school GPA were significant predictors of academic performance in college. The predictive value of aptitude with regard to college achievement varies across studies. For example, Cote and Levine (2000) reported that IQ accounted for only 0 - 4% of the variance in academic achievement among Canadian university students. Likewise, Wolfe and Johnson (1995) found that prior performance (high school GPA) accounted for 19% of the variance in GPA among students enrolled in a college introductory psychology course, a motivational variable accounted for 9% of the variance while SAT scores accounted for only 5% of the variance. Other studies reported low to moderate correlations between measures of aptitude and academic performance. Britton and Tesser (1991) reported low correlations (r = .20) between college students' SAT scores and their cumulative GPA during their first two years of college. Further, Wentzel (1991) reported that student GPAs and SAT scores were only moderately correlated (r = .42) and that many of the students in the top 12% of their high school class did not score in the top 12% on the SAT. Moreover, Meeker, Fox, and Whitley (1994) tested the predictive value of 26 variables, including SAT scores, for college students' GPA in psychology. SAT scores (aptitude) were not significant predictors of GPA in psychology (the students' major), with Math SAT scores accounting for only 3.6% of the variance. In another study, measures of aptitude were found to be either unrelated or negatively related to achievement in college students, while motivation appeared to be more predictive of achievement (Cote & Levine, 2000). With regard to developmental college students, a second potential limitation of prior research on the predictive validity of aptitude is the nature of the sample. Because these studies have been conducted with the general college student population, the generalizability of findings to developmental college student populations may be questionable. …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".