Accountability, Quality, and Student Success in Online Education: A Literature Review of Empirical Studies

This paper examines empirical studies on accountability, quality, and student success in online education. It advances that accountability and quality are critical components for student success in online education. It concludes that there is a lack of empirical studies that examine the effects of these measures on student success.

Online education, accrediting standards, and student success: An examination of the relationship between the southern association of colleges and schools commission on colleges standards for online education and student success

Prior to 2000, there were less than 1.6 million students enrolled in at least one online course. By fall 2010, student enrollment in online distance education showed a phenomenal 283% increase to 6.1 million. Two years later, this number had grown to 7.1 million. In light of this significant growth and skepticism about quality, there have been calls for greater oversight of this format of educational delivery. Accrediting bodies tasked with this oversight have developed guidelines and standards for online education. ^ There is a lack of empirical studies that examine the relationship between accrediting standards and student success. The purpose of this study was to examine the relationship between the presence of Southern Association of Colleges and Schools Commission on College (SACSCOC) standards for online education in online courses, (a) student support services and (b) curriculum and instruction, and student success. An original 24-item survey with an overall reliability coefficient of .94 was administered to students (N=464) at Florida International University, enrolled in 24 university-wide undergraduate online courses during fall 2014, who rated the presence of these standards in their online courses. The general linear model was utilized to analyze the data. The results of the study indicated that the two standards, student support services and curriculum and instruction were both significantly and positively correlated with student success but with small R2 and strengths of association less than .35 and .20 respectively. Mixed results were produced from Chi-square tests for differences in student success between higher and lower rated online courses when controlling for various covariates such as discipline, gender, race/ethnicity, GPA, age, and number of online courses previously taken. A multiple linear regression analysis revealed that the curriculum and instruction standard was the only variable that accounted for a significant amount of unique variance in student success. Another regression test revealed that no significant interaction effect exists between the two SACSCOC standards and GPA in predicting student success. ^ The results of this study are useful for administrators, faculty, and researchers who are interested in accreditation standards for online education and how these standards relate to student success.^

A review of predictive factors of student success in and satisfaction with online learning

Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined including learning outcomes, instructional design and learner characteristics, followed by suggestions for further research, and concluding with implications for online learning pertinent to administrators, instructors, course designers and students. Online learning may not be appropriate for every student. Identifying particular characteristics that contribute to online success versus failure may aid in predicting possible learning outcomes and save students from enrolling in online courses if this type of learning environment is not appropriate for them. Furthermore, knowing these learner attributes may assist faculty in designing quality online courses to meet students’ needs. Adequate instructional methods, support, course structure and design can facilitate student performance and satisfaction.

Next-Generation Advising: Elevating Practice for Degree Completion and Career Success

As competition for applicants, legislative focus on graduation rates, and questions about the lifetime value of a degree intensify, many institutions are blurring boundaries between academic advising and co-curricular and career advising to promote student success and differentiate brand. This report examines how leaders break the trade-off between high-touch service and budget realities, identifying breakthrough practices, as well as the models and technologies required to deliver them in a cost-effective manner.

Innovating engineering education: the RVS approach:an empirically grounded method to improved practice and enhanced student experience

This paper builds on previous work (Clark, 2009; Clark & Andrews 2011, 2014) to continue the debate around a seemingly universal question…“How can educational theory be applied to engineering education in such a way so as to make the subject more accessible and attractive to students? It argues that there are three key elements to student success; Relationships, Variety & Synergy (RVS). By further examining the purposefully developed bespoke learning and teaching approach constructed around these three elements (RVS) the discourse in this paper links educational theory to engineering education and in doing so further develops arguments for the introduction of a purposefully designed pedagogic approach for use in engineering education.

The effect of an enriched learning community on success and retention in chemistry courses

Since the mid-1990s, the United States has experienced a shortage of scientists and engineers, declining numbers of students choosing these fields as majors, and low student success and retention rates in these disciplines. Learning theorists, educational researchers, and practitioners believe that learning environments can be created so that an improvement in the numbers of students who complete courses successfully could be attained (Astin, 1993; Magolda & Terenzini, n.d.; O'Banion, 1997). Learning communities do this by providing high expectations, academic and social support, feedback during the entire educational process, and involvement with faculty, other students, and the institution (Ketcheson & Levine, 1999). ^ A program evaluation of an existing learning community of science, mathematics, and engineering majors was conducted to determine the extent to which the program met its goals and was effective from faculty and student perspectives. The program provided laptop computers, peer tutors, supplemental instruction with and without computer software, small class size, opportunities for contact with specialists in selected career fields, a resource library, and Peer-Led Team Learning. During the two years the project has existed, success, retention, and next-course continuation rates were higher than in traditional courses. Faculty and student interviews indicated there were many affective accomplishments as well. ^ Success and retention rates for one learning community class ( n = 27) and one traditional class (n = 61) in chemistry were collected and compared using Pearson chi square procedures ( p = .05). No statistically significant difference was found between the two groups. Data from an open-ended student survey about how specific elements of their course experiences contributed to success and persistence were analyzed by coding the responses and comparing the learning community and traditional classes. Substantial differences were found in their perceptions about the lecture, the lab, other supports used for the course, contact with other students, helping them reach their potential, and their recommendation about the course to others. Because of the limitation of small sample size, these differences are reported in descriptive terms. ^

It takes an institution's village to retain a student: A comprehensive look at two early warning system undergraduate retention programs and administrators' perceptions of students' experiences and the retention services they provide students in the early warning system retention programs

Institutions have implemented many campus interventions to address student persistence/retention, one of which is Early Warning Systems (EWS). However, few research studies show evidence of interventions that incorporate noncognitive factors/skills, and psychotherapy/psycho-educational processes in the EWS. A qualitative study (phenomenological interview and document analysis) of EWS at both a public and private 4-year Florida university was conducted to explore EWS through the eyes of the administrators of the ways administrators make sense of students' experiences and the services they provide and do not provide to assist students. Administrators' understanding of noncognitive factors and the executive skills subset and their contribution to retention and the executive skills development of at-risk students were also explored. Hossler and Bean's multiple retention lenses theory/paradigms and Perez's retention strategies were used to guide the study. Six administrators from each institution who oversee and/or assist with EWS for first time in college undergraduate students considered academically at-risk for attrition were interviewed. Among numerous findings, at Institution X: EWS was infrequently identified as a service, EWS training was not conducted, numerous cognitive and noncognitive issues/deficits were identified for students, and services/critical departments such as EWS did not work together to share students' information to benefit students. Assessment measures were used to identify students' issues/deficits; however, they were not used to assess, track, and monitor students' issues/deficits. Additionally, the institution's EWS did address students' executive skills function beyond time management and organizational skills, but did not address students' psychotherapy/psycho-educational processes. Among numerous findings, at Institution Y: EWS was frequently identified as a service, EWS training was not conducted, numerous cognitive and noncognitive issues/deficits were identified for students, and services/critical departments such as EWS worked together to share students' information to benefit students. Assessment measures were used to identify, track, and monitor students' issues/deficits; however, they were not used to assess students' issues/deficits. Additionally, the institution's EWS addressed students' executive skills function beyond time management and organizational skills, and psychotherapy/psycho-educational processes. Based on the findings, Perez's retention strategies were not utilized in EWS at Institution X, yet were collectively utilized in EWS at Institution Y, to achieve Hossler and Bean's retention paradigms. Future research could be designed to test the link between engaging in the specific promising activities identified in this research (one-to-one coaching, participation in student success workshops, academic contracts, and tutoring) and student success (e.g., higher GPA, retention). Further, because this research uncovered some concern with how to best handle students with physical and psychological disabilities, future research could link these same promising strategies for improving student performance for example among ADHD students or those with clinical depression.

Utilizing Traditional Cognitive Measures of Academic Preparation to Predict First-Year Science, Technology, Engineering, and Mathematics (STEM) Majors' Success in Math and Science Courses

For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.

A Retrospective-Longitudinal Examination of the Relationship between Apportionment of Seat Time in Community-College Algebra Courses and Student Academic Performance

During the past decade, there has been a dramatic increase by postsecondary institutions in providing academic programs and course offerings in a multitude of formats and venues (Biemiller, 2009; Kucsera & Zimmaro, 2010; Lang, 2009; Mangan, 2008). Strategies pertaining to reapportionment of course-delivery seat time have been a major facet of these institutional initiatives; most notably, within many open-door 2-year colleges. Often, these enrollment-management decisions are driven by the desire to increase market-share, optimize the usage of finite facility capacity, and contain costs, especially during these economically turbulent times. So, while enrollments have surged to the point where nearly one in three 18-to-24 year-old U.S. undergraduates are community college students (Pew Research Center, 2009), graduation rates, on average, still remain distressingly low (Complete College America, 2011). Among the learning-theory constructs related to seat-time reapportionment efforts is the cognitive phenomenon commonly referred to as the spacing effect, the degree to which learning is enhanced by a series of shorter, separated sessions as opposed to fewer, more massed episodes. This ex post facto study explored whether seat time in a postsecondary developmental-level algebra course is significantly related to: course success; course-enrollment persistence; and, longitudinally, the time to successfully complete a general-education-level mathematics course. Hierarchical logistic regression and discrete-time survival analysis were used to perform a multi-level, multivariable analysis of a student cohort (N = 3,284) enrolled at a large, multi-campus, urban community college. The subjects were retrospectively tracked over a 2-year longitudinal period. The study found that students in long seat-time classes tended to withdraw earlier and more often than did their peers in short seat-time classes (p < .05). Additionally, a model comprised of nine statistically significant covariates (all with p-values less than .01) was constructed. However, no longitudinal seat-time group differences were detected nor was there sufficient statistical evidence to conclude that seat time was predictive of developmental-level course success. A principal aim of this study was to demonstrate—to educational leaders, researchers, and institutional-research/business-intelligence professionals—the advantages and computational practicability of survival analysis, an underused but more powerful way to investigate changes in students over time.

Enrolment, student retention and attrition in the tourism management program.

This paper examines the factors motivating students to enrol in the Tourism Management program at Champlain College, St-Lambert and why a large number of students abandon the program before obtaining their DEC. There is a great deal of literature on student attrition, however there is little consensus on why students withdraw from college programs and the results cannot be easily generalized to this particular set of students at this time. Understanding the factors that influenced the students to choose Tourism Management at Champlain, St-Lambert and why they then leave before completing the six semesters will help with student success and with the marketing of the program.||Résumé : Ce travail s'intéresse aux facteurs qui motivent les étudiants à s'inscrire au programme de tourisme offert au Collège Champlain de St-Lambert. Il cherche à établir les raisons qui font en sorte qu'un si grand nombre d'étudiants abandonnent le programme avant d'obtenir leur DEC. Plusieurs recherches ont été effectuées sur l'abandon scolaire, mais il n'y a pas de consensus quant aux raisons pour lesquelles les étudiants se retirent du programme collégial. Actuellement, il est difficile d'établir des liens entre les résultats de ces recherches et ce groupe d'étudiants. La compréhension des facteurs qui influencent les étudiants à choisir le tourisme au Collège Champlain et les raisons qui font en sorte qu'ils quittent avant d'avoir complété leur formation, nous permettront d'améliorer le taux de rétention des étudiants dans ce programme. De plus, cela favorisera le marketing du programme.

A evasão discente no contexto da reestruturação universitária : o caso dos cursos de Administração e Ciências Contábeis da Universidade Federal do Espírito Santo

O objetivo desta pesquisa foi levantar os motivos que influenciam a evasão discente em quatro cursos de graduação da Universidade Federal do Espírito Santo. A reestruturação universitária proposta pelo REUNI - Programa de Apoio a Planos de Expansão das Universidades Federais serviu como contexto ao estudo, pois instituiu diretrizes para o combate à evasão no ensino superior. O modelo de evasão de cunho sociológico proposto por Tinto (1997) baseou as análises realizadas nesta pesquisa porque toma a instituição como responsável por ações capazes de criar um ambiente de aprendizado necessário à permanência do estudante. A pesquisa de campo quali-quantitativa foi realizada com os alunos evadidos e com os coordenadores dos cursos de Administração Diurno e Ciências Contábeis Noturno e dos novos cursos Administração Noturno e Ciências Contábeis Vespertino. Foram alcançados 95 alunos evadidos e os quatro coordenadores, sendo aplicado questionário semiaberto aos alunos evadidos e feitas entrevistas semiestruturadas com os coordenadores. Dados do sistema acadêmico (SIE/UFES) foram utilizados para o levantamento das variáveis. Os números fornecem evidências de que o resultado da aprendizagem traduzido pelo desempenho acadêmico torna-se um forte causador da evasão por abandono. O baixo coeficiente de rendimento relacionou-se ao desligamento por abandono na maioria dos casos. Em relação às formas de evasão, a desistência e o desligamento por abandono totalizaram 87,4% dos casos, com maior incidência de evasão no segundo e terceiro ano do curso. O ponto crítico da evasão parece confirmar-se do 2º ao 5º semestre e 62% dos casos de evasão que se situaram nesse lapso temporal apresentaram coeficiente de rendimento de 0,00 a 3,00. Os resultados evidenciaram os motivos que mais influenciaram os alunos a deixar o curso: i) a necessidade de trabalhar enquanto frequentava o curso, ii) a descoberta de novos interesses; iii) a incompatibilidade entre os horários do trabalho e do curso; iv) a escolha da carreira profissional ainda muito jovem e v) a falta de orientação aos alunos sobre normas, penalidades, planejamento do curso, periodização, etc. e deficiências na comunicação institucional.

O impacto da avaliação do desempenho docente na função docente e no desenvolvimento organizacional da escola

Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação - Especialidade Supervisão em Educação

The State Report Card for No Child Left Behind Iowa Department of Education, December 2006

The No Child Left Behind Act (NCLB) of 2001 requires each state to provide an annual report card to inform stakeholders and the public about the progress of students and schools on indicators of student achievement and other information that relates to student success. The State Report Card provides state level data to serve as a comparison for schools and districts as they consider and implement improvement efforts to increase the success for all Iowa students.

The State Report Card for No Child Left Behind Iowa Department of Education, December 2011

The No Child Left Behind Act (NCLB) of 2001 requires each state to provide an annual report card to inform stakeholders and the public about the progress of students and schools on indicators of student achievement and other information that relates to student success. The State Report Card provides state level data to serve as a comparison for schools and districts as they consider and implement improvement efforts to increase the success for all Iowa students.

The State Report Card for No Child Left Behind Iowa Department of Education, September 2014

The No Child Left Behind Act (NCLB) of 2001 requires each state to provide an annual report card to inform stakeholders and the public about the progress of students and schools on indicators of student achievement and other information that relates to student success. The State Report Card provides state level data to serve as a comparison for schools and districts as they consider and implement improvement efforts to increase the success for all Iowa students.