Investigating Predictors of Academic Success in a Foundational Business Mathematics Course PDF Download
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Author: Brooke Elise D'Aloisio
Publisher:
ISBN:
Category : Business mathematics
Languages : en
Pages : 626
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Book Description
Author: Brooke Elise D'Aloisio
Publisher:
ISBN:
Category : Business mathematics
Languages : en
Pages : 626
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Book Description
Author: Gregory Kyle McLeod
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 252
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Book Description
Author: Aimee Rogstad Guidera
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 36
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Book Description
Individuals need the academic knowledge and skills that equip them to succeed in today's economy. Almost 90 percent of new jobs require more than a high school level of literacy and math skills. The knowledge content of work is increasing, education is the key to maintaining a competitive edge, and everyone in society benefits when student achievement in primary and secondary school increases. The Third International Math and Science Study (TIMSS) compared performance in mathematics and science by a half-million students worldwide at age ranges corresponding roughly to grades 4, 8, and 12, including 33,000 Americans. While U.S. students at the fourth-grade level were near the first in the world in science, and were above the international average in mathematics, by the eighth grade, U.S. performance had fallen to slightly above the international average in science and to below the international average in mathematics. The message of TIMSS is that the U.S. still has a long way to go to ensure that all children achieve at world-class levels.
Author: Mary M. Davis
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 234
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Book Description
The American Association of Colleges and Universities reports that over 50% of the students entering colleges and universities are academically under prepared; that is, according to Miller and Murray (2005), students "lack basic skills in at least one of the three fundamental areas of reading, writing, and mathematics" . Furthermore, approximately 30% of the students in a state university undergraduate quantitative business course fail or withdraw from the course. The purpose of this study was to explore non-cognitive and cognitive factors that may be related to the academic success of those students enrolled in the course. To this end, a survey was conducted, collecting the perceptions and opinions of 301 undergraduate college of business students with regard to relevant constructs such as cognitive load, mathematics and general self-efficacy, math anxiety, and motivation. Additional data were collected from the students' transcripts. Findings revealed that the significant cognitive factors contributing to the academic success were the overall GPA of the students as well as the average of their grades in the two prerequisite courses. The statistically significant non-cognitive factors related to the final exam score were the students' perceived levels of cognitive load and mathematics self-efficacy. A moderating effect of mathematics self-efficacy was revealed between the final exam score and overall GPA; however, other selected potential moderators of the final exam score and cognitive load were not significant. Post-hoc analyses verified no significant difference in the final exam score for gender or race; however, a statistically significant difference was found on cognitive load for different instructors. The findings emphasized the importance of prior knowledge and instructional design as both are sensitive to cognitive load (Mayer & Moreno, 2003; Sweller, 1999). The implications of the findings resulted in the recommendation that the students' prior knowledge should be addressed through appropriate advising as well as pretests at the onset of the course. Finally, the course instructors should take into consideration various instructional design techniques to reduce cognitive load. Recommendations are made for future practice with a focus on inclusive pedagogical methodologies and further research directions with promising potential predictors.
Author: Tracy Thorndike-Christ
Publisher:
ISBN:
Category : Educational tests and measurements
Languages : en
Pages : 12
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Author: John William Daniels
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 114
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Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 836
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Author: Joan Haig
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 198
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Book Description
Institutionally collected data identifying student demographics, course performance in both the precollege mathematics course and the college-level mathematics course, and 'stopping-out' time between the pre-college course and the college-level course were used to create a predictive model of academic success for 'high risk' college-level mathematics students. The two most significant factors were the pre-college mathematics course grade and the student's over-all college GPA.
Author:
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 2
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Book Description
Author: Sandra Sims Mayo
Publisher:
ISBN:
Category :
Languages : en
Pages : 72
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Book Description
ABSTRACT: Improving college performance and retention is a daunting task for colleges and universities. Many institutions are taking action to increase retention rates by exploring their academic programs. Regression analysis was used to compare the effectiveness of ACT mathematics scores, high school grade point averages (HSGPA), and demographic factors such as age, gender, ethnicity, and socioeconomic status for predicting final grades in students' first mathematics courses at Spring Hill College. The results of this study were examined to validate whether the current system for placing students in first-year mathematics courses is successful. Data was used from 870 student records for the freshman fall cohorts from 2008 to 2010. Students were enrolled in Intermediate Algebra, Precalculus, or Calculus I. The results of the study indicate that ACT mathematics score, HSGPA, age, and gender were all statistically significant predictors of students' grades in their first-year mathematics courses with HSGPA the best predictor of all. It was recommended that admission counselors and mathematics department faculty place students in freshmen mathematics courses based on HSGPA, ACT mathematics scores, and the number of mathematics courses taken in high school but with a much stronger emphasis on HSGPA.
