INTRINSIC MOTIVATION,LEARNING GOALS,ENGAGEMENT, AND ACHIEVEMENT IN A DIVERSE HIGH SCHOOL

Using structural equation models, with gender, parent education, and prior grade point average (GPA) as control variables, we examined the relationships among intrinsic motivation to learn, learning goals, behavioral engagement at school, and academic performance (measured by GPA) in 1,575 students in an ethnically and racially diverse high school. Intrinsic motivation to learn was indirectly and positively related to academic performance via classroom engagement. Seventy‐five percent of the variance in engagement and 33% of the variance in GPA were explained by variables in the study. Results were generally replicated when the model was tested separately with the 336 African American students and the 311 Latin@ students. The significant indirect effect of intrinsic motivation to learn on GPA via engagement, as well as the positive direct association between learning goals and academic performance, suggest that students will benefit from schools fostering intrinsic motivation to learn and learning goals.     

Factors Influencing Completion and Noncompletion of Community College Online Courses

Abstract

This study investigated the differences between demographic, enrollment, academic, and self-directed learning characteristics of completers and noncompleters in online courses at one community college. The study also obtained students' self-reported reasons for not completing their coursework. No significant differences were found in the characteristics of age, gender, ethnicity, financial aid eligibility, grade point average, and total hours enrolled; significant differences were found in gender, academic readiness, and completers enrolled in more online courses than noncompleters.     

Disentangling the predictive validity of high school grades for academic success in university

To refine selective admission models, we investigate which measure of prior achievement has the best predictive validity for academic success in university. We compare the predictive validity of three core high school subjects to the predictive validity of high school grade point average (GPA) for academic achievement in a liberal arts university programme. Predictive validity is compared between the Dutch pre-university (VWO) and the International Baccalaureate (IB) diploma. Moreover, we study how final GPA is predicted by prior achievement after students complete their first year. Path models were separately run for VWO (n = 314) and IB (n = 113) graduates. For VWO graduates, high school GPA explained more variance than core subject grades in first-year GPA and final GPA. For IB graduates, we found the opposite. Subsequent path models showed that after students’ completion of the first year, final GPA is best predicted by a combination of first-year GPA and high school GPA. Based on our small-scale results, we cautiously challenge the use of high school GPA as the norm for measuring prior achievement. Which measure of prior achievement best predicts academic success in university may depend on the diploma students enter with.     

Examining Factors Related to Academic Success of Military-Connected Students at Community Colleges

The number of military-connected students enrolling in community colleges has increased dramatically in the past decade, and this trend is expected to continue. This research focused on examining factors that contribute to the academic success of community college students. Specifically, the purpose of this quantitative study was to identify the demographic characteristics; campus relationships; and financial, academic and personal experiences that are associated with grade point average (GPA) and intent to return for military-connected students at seven community colleges. Identifying as a Student of Color (any race or ethnicity other than White) and experience meeting professors’ academic expectations were negatively associated with cumulative GPA, and feeling academically prepared to enter the institution was significantly and positively associated with intent to return. The results provide further evidence of the relationships among demographic and academic experiences and academic success. The authors offer recommendations for serving military-connected students at community colleges.     

The Influence of Student Characteristics and the Community College on Bachelor’s Degree Attainment

ABSTRACT

The purpose of this study was to investigate differences in baccalaureate degree attainment among transfer students with associate’s degrees, transfer students without associate’s degrees, and university-native students. The study also investigated if demographic characteristics or academic preparation characteristics (i.e., transfer cumulative grade point average [GPA], transfer hours earned, cumulative overall grade point average, and cumulative credit hours earned) predicted graduation rates. Participants included transfer students from all community colleges and native students from one university in one southeastern state. The study utilized a causal-comparative research design. The chi-square test of independence was used to determine if differences in graduation rates existed, and logistic regression was used to determine if demographic characteristics and academic preparation predicted graduation rates. Community college students graduated at higher rates than native students. The academic preparation variables made a significant contribution in the prediction of graduation, with the strongest predictor being the cumulative overall GPA.     

Academic Factors Related to Student Achievement in a Capstone Food Chemistry Course

The 1st step in successfully intervening with students who may fail a course is to identify them as early as possible in the semester. The objective of this study was to create a model to predict student performance in FDSC 4304, the required capstone Food Chemistry class, using academic performance in prerequisite courses as potential predictors. We analyzed data for 116 undergraduates who completed Food Chemistry (FDSC 4304) between 2008 and 2015. Data included semester of enrollment and grade earned in FDSC 4304; transfer status; grades in prerequisite classes in science, math, and statistics courses and an introductory Food Science course, FDSC 1103; and the students’ university GPA at the time of enrollment in FDSC 4304. Cumulative GPA had the strongest significant (P < 0.001) positive correlation with FDSC 4304 grade (r = 0.64), followed by grade in statistics GPA (r = 0.52), FDSC 1103 grade (r = 0.45), pre‐requisite chemistry GPA (r = 0.44), and biology GPA (r = 0.42). When using partial correlations to control for cumulative GPA, only grades in FDSC 1103 (completed by 62.9% of students) were significantly correlated with grades in FDSC 4304. Linear regression indicated cumulative GPA and FDSC 1103 grades explained 35.5% of the variance in FDSC 4304 grades. When cumulative GPA (available for 91.6% of students) alone was regressed on FDSC 4304, it explained 40.6% of the variance for the larger group. Lower cumulative GPAs and FDSC 1103 grades are suggestive but not determinative of potential student struggles in FDSC 4304. Instructors should use cumulative GPAs and introductory food science course grades (either alone or in combination) with actual early course performance measures to identify students in need of additional help.     

Antecedents to psychosocial environments in middle school classrooms in Taiwan

This study investigated gender differences in students' perceptions of their psychosocial environment and related variables. Analyses of data collected from 644 middle school students reveal that there were significant differences in boys' and girls' perceptions, in favor of girls. Ten academic background variables were examined. Multiple regression results identified, in addition to gender, school membership, attendance, time spent doing homework, students' academic expectations, course grade, and course content as significant variables for all students, accounting for 31% of the variance in environment. There were gender-related disparities for the variables involved. While time spent doing homework, students' academic expectations, course grade, and course content had significant effects on both boys and girls' environments, school membership and time spent in watching TV had effects only on girls' perceptions. Educational implications of the findings are also discussed in the article. This revised version was published online in July 2006 with corrections to the Cover Date.     

Robust and specific personality traits as predictors of adolescents’ final grades and GPA at the end of compulsory schooling

The study investigated the predictive value of robust and specific personality traits in adolescents (M _age?=?14.7 years), in explaining their academic achievement at the end of basic compulsory schooling. Personality data were obtained through self, maternal, and peer reports using the Inventory of Child/Adolescent Individual Differences. Adolescent gender and maternal education predicted 36, 26, 19, and 26 % of the variance in the final grades in Slovene, English, and mathematics and the overall GPA, respectively. Personality ratings by each of the three groups of informants substantially improved the prediction of students’ academic achievements, over and beyond gender and maternal education. The robust trait scores contributed to significant increments in the variance explained, across the academic achievement indicators, ranging from 8 to 17 % (self-report), 15 to 24 % (maternal report), and 20 to 32 % (peer report). Conscientiousness was consistently the most powerful predictor of students’ academic success and extraversion was negatively associated with all achievement indicators. The study provided support for a relatively stronger predictive utility of specific, rather than robust personality traits. Likewise, peer ratings of the students’ personality provided relatively larger increments in variance explained in academic achievements than maternal and self-ratings; in general, the personality trait ratings added more to the prediction of mathematics grades and the GPA relative to the prediction of success in languages. Among specific traits, subjectively perceived student intelligence was the most powerful and consistent predictor of final grades and GPA.     

ACADEMIC STANDARDS IN THE CALIFORNIA COMMUNITY COLLEGES: A STUDY OF FACULTY PERCEPTIONS

This study assessed the opinions of faculty concerning academic standards in the classroom. It compared the responses of faculty with experience in the academic senates in 23 community colleges with faculty who had no senate experience. Differences of opinion also were examined based on the demographic variables of gender, age, ethnicity, level of education, years of teaching experience, and subject area taught. While faculty generally agreed with the importance of academic standards and with important considerations for establishing academic standards in the classroom, there were significant differences based on senate membership, gender, ethnicity, age, and subject area taught. Gender and ethnicity displayed the greatest number of differences. Campus‐wide discussions of academic standards, regional subject matter articulation conferences with nearby universities, and explicitly stated goals and objectives in all course syllabi were implications for practice emanating from this study.     

Lecture recording system in anatomy

The literature reports that using Learning Recording Systems (LRS) is usually well received by students but that the pedagogical value of LRS in academic settings remains somewhat unclear. The primary aim of the current study is to document students' perceptions, actual pattern of usage, and impact of use of LRS on students' grade in a dental gross and neuroanatomy course. Other aims are to determine if students' learning preference correlated with final grades and to see if other factors like gender, age, overall academic score on the Dental Aptitude Test (DAT), lecture levels of difficulty, type of lecture, category of lecture, or teaching faculty could explain the impact, if any, of the use of LRS on the course final grade. No significant correlation was detected between the final grades and the variables studied except for a significant but modest correlation between final grades and the number of times the students accessed the lecture recordings (r=0.33 with P=0.01). Also, after adjusting for gender, age, learning style, and academic DAT, a significant interaction between auditory and average usage time was found for final grade (P=0.03). Students who classified themselves as auditory and who used the LRS on average for fewer than 10 minutes per access, scored an average final grade of 16.43 % higher than the nonauditory students using the LRS for the same amount of time per access. Based on these findings, implications for teaching are discussed and recommendations for use of LRS are proposed. Anat Sci Educ 6: 376–384. © 2013 American Association of Anatomists.     

The Role of Student Characteristics in Predicting Retention in Online Courses

Given the continued issue of student retention for online classes, past research has suggested several “retention strategies” focused on engaging students as a way to reduce their withdrawal rate from these classes. However, a recent study testing the effects of these strategies on retention in online undergraduate business courses (Leeds et al., Int J Manage Educ 7(1/2), 2013) did not show empirical support for the effectiveness of such strategies. Taking an alternative approach that focuses on individual characteristics of students, this study takes a broader view and examines previous research literature on traditional face-to-face classes to determine how individual characteristics of students may be associated with the likelihood of withdrawal from online classes. Using a sample of undergraduate students (n = 2,314) from a large state university, results from this study identified prior performance in college classes (cumulative GPA) and class standing (senior vs. non-senior) as significant student characteristics related to student retention in online classes for all students. Other factors significantly related to retention rates for students with certain characteristics or within certain majors include previous withdrawal from online courses, gender, and receipt of academic loans.     

Use of Social Emotional Learning Skills to Predict Future Academic Success and Progress Toward Graduation

This study evaluated the degree to which a range of social emotional learning skills—academic self-efficacy, academic motivation, social connections, importance of school, and managing psychological and emotional distress and academic stress— could be used as an indicator of future academic outcomes. Using a sample of 4,797 from a large urban school district, we found that high school students classified as performing in the lowest 25% of their grade reported lower social emotional skills than students classified in the top 25% of academic performers by the end of the 8th grade. Two variables, perceived importance of attending college and psychological and physical stress, accounted for nearly 26% of the variance in cumulative high school GPA after controlling for 9th-grade GPA. Finally, the results indicated that a combination of 5 social emotional learning subscales effectively discriminated between students making positive progress towards high school graduation and those identified as having dropped out of or failed more than 14% of their courses.     

The influence of student and course characteristics on monotonic response patterns in student evaluation of teaching in South Korea

Using multilevel models, this study examined the effects of student- and course-level variables on monotonic response patterns in student evaluation of teaching (SET). In total, 11,203 ratings taken from 343 general education courses in a Korean four-year private university in 2011 were analyzed. The results indicated that 96 % of variance of monotonic response patterns could be explained by student characteristics, such as gender, academic year, major, grade point average, SET score, and perceptions about course difficulty, while controlling for course-level variables. Furthermore, 4 % of variance of monotonic response patterns was derived from course characteristics, including faculty age and class size, while controlling for student-level variables. The findings suggest that Korean higher education institutions need to take proper measures to encourage students to participate more actively and sincerely in SET for the best and proper use of the evaluation’s outcomes.     

Adjusting the Cumulative GPA Using Item Response Theory

In college admissions, the predictive validity of preadmissions measures such as standardized test scores and high school grades is of wide interest. These measures are most often validated against the criterion of the first-year grade point average (GPA). However, neither the first-year GPA nor the four-year cumulative GPA is an adequate indicator of academic performance through four years of college. In this study, Item Response Theory (IRT) is used to develop a more reliable measure of performance, called an IRT-based GPA, which is used to estimate the validity of traditional preadmissions information. The data are preadmissions information and course grades for the Class of 1986 at Stanford University (N = 1564). Principal factor analysis is used as a precursor to determine the dimensionality of the course data and to partition courses into approximately unidimensional subsets, each of which is scaled independently. Results show a substantial increase in predictability when the IRT-based GPA is used instead of the usual GPA.     

Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students

Using student level data, the characteristics of STEM and Non-STEM students are examined for attributes associated with academic success. We use fixed effects models to analyze the variables’ role in attaining graduation and college GPA and find preparation and ability, as evidenced by Advanced Placement course work, mathematical ability, gender, ethnicity, high school GPA and college experience are all statistically significant indicators of success. These attributes may confer a comparative advantage to STEM students. The engineers have statistically significant differing response elasticities than the non-engineers, and show evidence of persistence that may arise from learning-by-doing. A successful engineering STEM major at Binghamton has good mathematics preparation, and disproportionately is of Asian ethnicity. Women are few in numbers as engineers. Other STEM fields see less emphasis on mathematics preparation, but more emphasis on the presence of AP course work. Women have the same presence in these other STEM fields as in the whole university.     

Academic success and early career outcomes: Can honors alumni be distinguished from non-honors alumni?

This study compared Dutch alumni who previously participated in an honors program (n = 72) to non-honors alumni who entered university as high-achieving high school students (n = 72) with regard to (1) final university grade point average (GPA) and (2) early career outcomes. Final grades were drawn from university files. Using an online questionnaire, participants were asked to rate themselves on work engagement and other characteristics in their current jobs. Results indicate that, compared to the non-honors control group, honors alumni had a higher study GPA at the end of their studies and higher work engagement after graduation, while job characteristics were found to be similar. Implications for educators and job recruiters are discussed.     

Faculty/Student Mentor Program: Effects on Academic Performance and Retention

A university faculty/student mentor program was evaluated for its effects on academic performance and retention. A matched pairs design was used in which 339 undergraduates assigned to mentors were paired with nonmentored students based on gender, ethnicity, GPA, and entering enrollment status. The results showed a higher GPA for mentored students (2.45 vs. 2.29), more units completed per semester (9.33 vs. 8.49), and lower dropout rate (14.5% vs. 26.3%). Amount of mentor-protege contact was positively correlated with GPA. Academic achievement and retention were unrelated to gender and ethnicity of the mentor, the protégé, or the gender and ethnic match between the two.     

Proctored Versus Unproctored Online Exams: Studying the Impact of Exam Environment on Student Performance

Increasing numbers of universities are offering courses in online and hybrid formats. One challenge in online assessment is the maintenance of academic integrity. We present a thorough statistical analysis to uncover differences in student performance when online exams are administered in a proctored environment (i.e., in class) versus an unproctored environment (i.e., offsite). Controlling for student grade point average (GPA), no significant differences in mean overall course performance or exam performance between the two groups were found, nor were there any differences in the mean vectors of individual exam scores. The study reveals that the group taking online exams in the unproctored environment has significantly more variation in their performance results. In examining potential causes of the greater variation, analyses were performed to assess whether an increased level of possible cheating behavior could be observed from performance results for students in the unproctored section. No evidence of cheating behavior was found.     

Impact of Anatomy Boot Camp on Students in a Medical Gross Anatomy Course

Lincoln Memorial University‐DeBusk College of Osteopathic Medicine (LMU‐DCOM) offers an optional three‐week summer Anatomy Boot Camp course (ABC) to facilitate students' transition into medical school and promote retention of anatomy subject matter. The pre‐matriculation program is a supplemental instruction course that utilizes a small group learning format. Boot camp instruction is led by teaching assistants and two anatomy professors. Enrollees gain early exposure to Medical Gross Anatomy (MGA) course subject matter, which is taught in the fall semester, and learn study skills necessary to excel in medical school. No grade is assigned for the course, therefore participants can study without the fear of potentially affecting grades. This study evaluates the effectiveness of the LMU‐DCOM ABC course using data from four consecutive summers. Independent two‐sample t‐tests were used to compare ABC to non‐ABC students for the following variables: incoming grade point average (GPA) and Medical College Admission Test® (MCAT®) scores, MGA written and laboratory practical examination grades, and final MGA course grade. Additionally, a 26‐question survey was administered to 2012–2014 boot camp participants. There were no significant differences in incoming GPA and MCAT scores. However, boot campers scored significantly higher on the first two lecture and laboratory examinations (P < 0.05) for each year of the study. Thereafter scores varied less, suggesting a faster head start for boot camp participants. Mean MGA final grade was on average 3% higher for the boot camp cohort. The survey feedback supports that the ABC course assists with the academic and social transition into medical school. Anat Sci Educ 10: 215–223. © 2016 American Association of Anatomists.     

Gender Bias in Predicting College Academic Performance: A New Approach Using Item Response Theory

The possibility of differential prediction of college academic performance for men and women is, at present, an issue of concern both to measurement specialists and to the general public. In prior studies, the use of a single equation to predict grade point average (GPA) from preadmissions measures has generally led to the systematic underprediction of women's college grades. In the following study, Item Response Theory (IRT) was used to develop a form of adjusted cumulative GPA, called the IRT-based GPA. Significant underprediction for women occurred using a version of the cumulative GPA as the outcome measure. In contrast, the use of the IRT-based GPA indicated no significant underprediction for men or women. A single regression equation worked best in predicting both men's and women's IRT-based GPA. In addition, the IRT-based GPA was substantially more predictable from preadmissions measures than the cumulative GPA.