Law Student Success and Supports: Examining Bar Passage and Factors That Contribute to Student Performance

2018 ◽  
Author(s):  
Amy Farley ◽  
Christopher Swoboda ◽  
Joel Chanvisanuruk ◽  
Keanen McKinley ◽  
Alicia Boards
Author(s):  
Nicole Buzzetto-Hollywood ◽  
Kathy Quinn ◽  
Wendy Wang ◽  
Austin Hill

Aim: This study sought to explore the role of the elusive non-cognitive skill set known as grit, or the resolve and determination to achieve goals regardless of impediments, on student success in online education. It represents an area of exploration where there is a dearth in the available literature and reports the results of a study conducted at a Mid-Atlantic minority-serving university that examined the relationship between grit and student performance in fully online courses. Methodology: Students were administered the standard 12-Question Grit Scale with the addition of a series of validated questions that sought to measure perceived self-learning efficacy. Additionally, student performances in online courses were recorded and correlations conducted. Basic statistical analyses such as mean, mode, standard deviation, variance, and confidence interval were calculated. Two hypotheses were introduced as part of this study and tested with Anovas and crosstabulations. Results: This study found that higher grit scores correlated progressively to both self-discipline and self-efficacy but that a positive relationship to student achievement in fully online courses as measured with a p value of greater than .05 could not be confirmed. Conclusion: As online education continues to grow, providing opportunities to foster and strengthen student success in online courses and programs is increasingly important. E-learning success requires that students exhibit strong self-regulation, self-discipline, resilience, dutifulness, conscientiousness, and low impulsivity all of which are attributes of grit. As such, grit is presented as a promising area of exploration for increasing student achievement in online education.


Author(s):  
Sophia Palahicky ◽  
Donna DesBiens ◽  
Ken Jeffery ◽  
Keith Stuart Webster

Pedagogical values directly affect student performance and, therefore, are essential to successful teaching practice. It is absolutely critical that post-secondary educators examine and reflect on their pedagogical values because these principles pave the path for student success. This chapter describes four pedagogical values that are critical to student success within the context of online and blended learning environments in higher education: 1) value of care; 2) value of diversity; 3) value of community; and 4) value of justice.


Author(s):  
Sophia Palahicky ◽  
Donna DesBiens ◽  
Ken Jeffery ◽  
Keith Stuart Webster

Pedagogical values directly affect student performance and, therefore, are essential to successful teaching practice. It is absolutely critical that post-secondary educators examine and reflect on their pedagogical values because these principles pave the path for student success. This chapter describes four pedagogical values that are critical to student success within the context of online and blended learning environments in higher education: 1) value of care; 2) value of diversity; 3) value of community; and 4) value of justice.


2011 ◽  
pp. 3285-3292
Author(s):  
E. Benrud

This article examines the performance of students in a Web-based corporate finance course and how the technologies associated with communication on the Internet can enhance student learning. The article provides statistical evidence that documents that the online discussion board in a Web-based course can significantly enhance the learning process even in a quantitative course such as corporate finance. The results show that ex ante predictors of student performance that had been found useful in predicting student success in face-to-face classes also had significant predictive power for exam performance in the online course. However, these predictors did not have predictive power for participation in the online discussion. Yet, online participation and exam performance were highly correlated. This suggests that the use of the online discussion board technology by the students enhanced the performance of students who otherwise would not have performed as well without the discussion.


Author(s):  
Erik Benrud

This article examines the performance of students in a Web-based corporate finance course and how the technologies associated with communication on the Internet can enhance student learning. The article provides statistical evidence that documents that the online discussion board in a Web-based course can significantly enhance the learning process even in a quantitative course such as corporate finance. The results show that ex ante predictors of student performance that had been found useful in predicting student success in face-to-face classes also had significant predictive power for exam performance in the online course. However, these predictors did not have predictive power for participation in the online discussion. Yet, online participation and exam performance were highly correlated. This suggests that the use of the online discussion board technology by the students enhanced the performance of students who otherwise would not have performed as well without the discussion.


2019 ◽  
Vol 11 (2) ◽  
pp. 178-198 ◽  
Author(s):  
Bothaina A. Al-Sheeb ◽  
A.M. Hamouda ◽  
Galal M. Abdella

Purpose The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction. Design/methodology/approach The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper. Findings The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter. Research limitations/implications First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study. Practical implications The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering. Originality/value This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.


2018 ◽  
Vol 5 (3) ◽  
Author(s):  
Kyle Anthony O'Connell ◽  
Elijah Wostl ◽  
Matt Crosslin ◽  
T. Lisa Berry ◽  
James P. Grover

Historical student data can help elucidate the factors that promote student success in mathematics courses. Herein we use both multiple regression and principal component analyses to explore ten years of historical data from over 20,000 students in an introductory college-level Algebra course in an urban American research university with a diverse student population in order to understand the relationship between course success and student performance in previous courses, student demographic background, and time spent on coursework. We find that indicators of students’ past performance and experience, including grade-point-average and the number of accumulated credit hours, best predict student success in this course. We also find that overall final grades are representative of the entire course and are not unduly weighted by any one topic. Furthermore, the amount of time spent working on assignments led to improved grade outcomes. With these baseline data, our team plans to design targeted interventions that can increase rates of student success in future courses.


2013 ◽  
Vol 12 (3) ◽  
pp. 509-514 ◽  
Author(s):  
Rebecca Orr ◽  
Shellene Foster

Students often complain about their perceived disconnect between the time and effort spent studying and their subsequent performance on exams. Robert Bjork's research asserts that retrieval of stored information acts as a memory modifier, and that using tests as learning events creates “desirable difficulties that enhance learning.” To determine the effect of utilizing testing as a learning event in the introductory (majors) biology classroom, we used an online homework platform to give required quizzes throughout the course. Analysis of exam grades earned by those taking 100% of pre-exam quizzes indicates that not only does this group have a significantly higher exam average than the group of students who took 0% of the pre-exam quizzes, but they also have a significantly higher exam average than the class average. Through detailed, statistical analysis, the benefit of quizzing is demonstrated to be significant for students of diverse academic abilities. Pre-exam quizzing using an online homework platform is an effective way to increase student performance on exams and allows class time to be utilized for teaching activities.


2018 ◽  
Vol 25 (1) ◽  
pp. 196
Author(s):  
Pat Heather Feast

<p>The aim of this paper is to advance the notion that using the workplace model of appraisal is an effective method of assessing students who undertake clinical legal education (CLE). It is the belief of the team working in the law clinics at the University of Portsmouth that appraisal provides students with both praise and constructive criticism and the necessary information to enable them to improve their performance while working in the University of Portsmouth clinics. Giving feedback on a regular basis via the appraisal system motivates the students to strive for improvement and helps them to meet the challenges of achieving excellence. At the University of Portsmouth, staff, students and, in some cases, the representatives of our partner organisations work together in our appraisal system to tackle any barriers to student success within our CLE progammes.</p>


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