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The prediction of student attrition is critical to facilitate retention mechanisms. This study aims to focus on implementing a method to predict student attrition in the upper years of a physiotherapy program.

Machine learning is a computer tool that can recognize patterns and generate predictive models. Using a quantitative research methodology, a database of 336 university students in their upper-year courses was accessed. The participant's data were collected from the Financial Academic Management and Administration System and a platform of Universidad Autónoma de Chile. Five quantitative and 11 qualitative variables were chosen, associated with university student attrition. With this database, 23 classifiers were tested based on supervised machine learning.

About 23.58% of males and 17.39% of females were among the attrition student group. The mean accuracy of the classifiers increased based on the number of variables used for the training. The best accuracy level was obtained using the “Subspace KNN” algorithm (86.3%). The classifier “RUSboosted trees” yielded the lowest number of false negatives and the higher sensitivity of the algorithms used (78%) as well as a specificity of 86%.

This predictive method identifies attrition students in the university program and could be used to improve student retention in higher grades.

The study has developed a novel predictive model of student attrition from upper-year courses, useful for unbalanced databases with a lower number of attrition students.

This paper aims to focus on the experience of monitoring of first year student attrition in a large metropolitan multi‐campus university during 2004‐2010. The paper seeks to discuss the trends in student attrition which have been found and identify key issues which have been and need to be addressed by the university in order to increase retention.

A specially designed survey was repeated across the years and completed over the period by 2,085 undergraduate students who left the university before the end of their first year of study.

The most important of issues which need to be addressed by the university are sufficient, correct and clear information provided to prospective students about the course before they enrol and high‐quality course advice about subject choices after enrolment.

Sufficient, correct and clear information provided to prospective students about the course remains an area in need of improvement. Therefore, in marketing the university both locally and internationally, a particular focus needs to be on direct contact by knowledgeable staff with prospective students.

Marketing of courses with support of academic staff, course advisers and program heads should give particular focus to the clear management of student expectations. Targeted marketing at the school/course level is needed in order to ensure clear and specific expectations management. This approach, if adopted, should help reduce attrition among those students for whom “the course wasn't what they expected”.

Improving university student retention is one of the high‐priority government targets in developed countries such as Australia, the UK and the USA. At the same time, higher education providers in these countries try to increase the participation of students from traditionally underrepresented groups of population in order to meet the aspirations of governments. The changes in policies and performance‐based funding require universities to align the growth of numbers of students from underrepresented groups with a range of academic and general support services to support student transition, retention and completion. An important aspect for universities is to ensure that low entry standards do not compromise graduate exit standards.

Evaluating attrition trends through systematic feedback from withdrawing students can help universities identify key issues which need to be addressed in order to increase retention. Further, it may help narrow down the list of such issues to one or two most persistent over a number of years. For example, for the university described in this study, the steadiest factor behind student attrition is quantity and quality of information provided to prospective students about the course before they enrol. If this issue is appropriately addressed, and provided all other important attrition factors are closely monitored, the university can significantly increase the likelihood of student retention and success.

The purpose of this study is to examine the relationship between engineering programme accreditation (EPA) and institutional performance (IP) using perceptual measures. Two IP dimensions have been explored to test this relationship, namely, graduate employability and student retention and attrition.

This quantitative research is based on the perceptions of 211 academic staff holding a range of positions within 15 higher education institutions located in the Gulf Cooperation Council countries (GCC). Linear regression was used to test the relationships in the data.

The empirical analyses proved that EPA has a statistically significant positive relationship with the IP dimensions, namely, graduate employability, student retention and attrition.

A few limitations were encountered while conducting this study. Most of the accredited engineering programmes are located in the United Arab Emirates and Kingdom of Saudi Arabia (KSA) (nearly 73%). The online survey was the only option available for the researcher to reach some universities rather than using a face-method to collect data. Another limitation is the availability of only five accredited programmes in some countries such as Oman, where the researcher is based, meaning that the researcher had to devote extra time and effort to contact the other five countries by emails, telephone calls and travel to attain a reasonable survey sample size.

There are many implications of these findings for the universities, employers and economies of the GCC. All GCC countries are concerned about high unemployment rates; for example, the rate of youth unemployment reached 41% in KSA. Adopting EPA for all academic programmes will eliminate the mismatch between the skills graduate students develop while they are studying and those skills required of them when they are practising their job in industry. Although the jobs market is determined by the wider economy, accredited programmes may help graduates to obtain employment because employers are more able to recruit students who graduate from accredited programmes. Universities aim to retain students until graduation and improving student retention and lowering attrition rate brings many direct and indirect benefits to universities, including saving governments’ financial resources.

This study is the first to examine the relationship between EPA and IP within the six GCC region as a whole.

This paper aims is to present and discuss the personal and educational underpinnings of undergraduate and graduate students’ persistence decision, identify initiatives and strategies academic libraries are adopting which correlates positively with student retention, identify and discuss the main causes leading to attrition and present James White Library’s experience contributing to student retention efforts at Andrews University.

A bibliographic search using databases in the areas of education and library and information science was conducted to review the literature on the relationship between library use and services and university students’ retention.

The main overall factors which contribute to student retention are: user-centered philosophy; involvement and engagement; student identification and sense of belonging; academic success and achievement; and point grade average (GPA) in the context of libraries, the main factors which contribute (or correlate) to student retention are: library instruction; spaces which provide social interaction and learning; and general materials’ use.

This study does not provide results of actual in-person investigations conducted at libraries, rather, identifies presents, and discusses reported studies in the Education and Library & Information Science (LIS) literature.

A summary and structured presentation of the main issues concerning the library’s role in university student’s retention identifies the main personal, including non-academic and academic problems leading to student’s attrition, as well successful efforts and strategies which libraries are adopting to curtail this pressing problem within academic institutions. The paper can be used as general guidelines which academic library managers and library service providers can adopt to contribute to the university’s overall efforts to increase its graduation rate.

Higher education presupposes large expenditures from providers (Universities) and students. Millions of dollars are spent by both parties each year without yielding the expected results, considering that attrition levels can reach more than 40 per cent at any given university during an academic year in the USA. Also, purposeful or intentional expensive recruitment efforts and programs can be greatly curtailed by high attrition rates. However, these can be greatly diminished by successful retention strategies. Also, society is greatly benefited with the talents, skills, and services rendered by a professional with a higher education degree.

This study organizes and systematizes the many study results, ideas, and considerations concerning academic libraries and student retention which are dispersed in the literature of the field, allowing the reader and practitioner to better understand the theoretical and practical issues concerning this subject. It provides the reader with practical experiences and data which will enhance one’s decision-making process in developing retention policies and strategies at the library level.

The purpose of this paper is to examine a University's at risk program and ask is the intervention strategy working? The program seeks to assist at risk students who may be experiencing difficulties transitioning, for example from school into university. The program also seeks to identify problems and suggest remediation strategies before attrition.

The effectiveness of the at risk programs is investigated across a population of at risk students from 2006 to 2010. Effectiveness is judged on the basis of outcomes in subsequent semesters where the University's preferred outcome is these students are not identified as at risk again.

The authors have found that the program has some success in assisting students to improve their academic performance; though simply engaging in the process is not enough to ensure improvement. Other variables are at work. At risk students located in Melbourne appear to be far more likely to be at risk again than those in Singapore.

The at risk program is intended to be part of the University's total system of pastoral care. As such it is designed to assist struggling students to successfully complete their studies. With this in mind, this paper has investigated the influence of student engagement in the at risk program on future academic performance.

This research assists Universities’ implementation of pastoral care programs and notes the roles of student characteristics in “success” at University.

To the authors’ understanding no other research of this kind has been conducted. Much of the previous research focuses on attrition, students already lost to a program. This research focuses on those not yet lost to a program, but at risk.

The purpose of this paper is to ask how the academic library may better position itself to assist with the demonstrated need for improved research ability in doctoral students. The paper examines the literature on doctoral student retention, which demonstrates problems with research self‐efficacy in students, and connects this issue to the library literature demonstrating the impact of library instruction.

The main approach is the review of the literatures in library science on the impact of instruction, and in the wider education literature on student retention and doctoral student attrition.

It was found that library instruction does demonstrably improve student research skills, and that doctoral students are generally underprepared to conduct dissertation level research. There is a case for partnering doctoral students with academic librarians to improve dissertation completion rates and lower attrition due to lack of research skill.

The paper demonstrates an obvious need for focus of library instruction on graduate students, and doctoral students in particular. The paper poses a number of research agendas that can be taken up by practitioners in the field, including various models for implementing instruction for doctoral students.

Attrition from doctoral programs has a burdensome impact on academic institutions, and has been demonstrated to have adverse social, psychological and financial impacts on the doctoral students themselves. The ability of library intervention to alleviate the problem has wide‐ranging implications.

The paper brings a wider literature base to bear on the practice of library instruction, and raises important questions relevant to librarians and graduate faculty about the value of the library to more advanced research students and the current focus of most library instruction programs at the undergraduate levels.

Student attritions in tertiary educational institutes may play a significant role to achieve core values leading towards strategic mission and financial well-being. Analysis of data generated from student interaction with learning management systems (LMSs) in blended learning (BL) environments may assist with the identification of students at risk of failing, but to what extent this may be possible is unknown. However, existing studies are limited to address the issues at a significant scale.

This study develops a new approach harnessing applications of machine learning (ML) models on a dataset, that is publicly available, relevant to student attrition to identify potential students at risk. The dataset consists of the data generated by the interaction of students with LMS for their BL environment.

Identifying students at risk through an innovative approach will promote timely intervention in the learning process, such as for improving student academic progress. To evaluate the performance of the proposed approach, the accuracy is compared with other representational ML methods.

The best ML algorithm random forest with 85% is selected to support educators in implementing various pedagogical practices to improve students’ learning.

The sustainability of higher education institutions is affected various things, particularly by student satisfaction and the financial stability of the institution. An analysis of student attrition and retention plays a vital role in assessing the sustainability of a higher education institution. Using suitable analysis techniques to do success profiling of prospective and current students is crucial for students and institutions alike. Success/risk estimation is essential for any higher education institution (HEI), because determining such factors can assist higher education institutions in fulfilling their obligation to provide support, guidance and interventions for their prospective and existing students. Strategic decisions in this regard, by both students and institutions, should be based on valid and reliable profiles. The validation of established profiles increases the accuracy of existing profiles and increases the efficiency of institutional strategic planning. This article reports on the validation of a success profile for first year Accounting students established by the authors of this article in an earlier study in an open and distance learning (ODL) environment at the University of South Africa.

The purpose of this paper describes a second‐year induction programme developed to support student transition. The sophomore slump theory suggests that students may experience a slump in the second year, resulting in poorer outcomes and increased attrition rates. Students were asked to reflect on their first year experience in order to identify learning and plan for the year ahead, in order to reduce potential for a slump during the second year.

Students beginning the second year of a four‐year BSc Honours Nursing programme participated in a one‐day induction prior to commencement of semester 1 classes. Students were assigned to groups and asked to reflect on some key questions in relation to their first year experience. Responses were collated on flip chart paper and discussed together.

Emergent themes are discussed here: forward planning, engagement with the institution, and building a strong foundation.

This process served to illustrate to staff some of the “hidden curriculum” issues and offered opportunities to focus on areas of student weakness such as referencing and academic writing. Using a combination of reflection, and experiential learning in induction may serve to transition students through the sophomore slump.

The challenge for academics is to continue to find ways to enhance the student experience in an increasingly diverse student population, and determine its effect on attrition rates. This paper offers a reflective commentary, exploring the authors’ learning, on the implementation of one innovative programme of longitudinal induction.

This study aims to focus on survey reports of doctoral students’ experiences in the USA, providing a look at factors influencing “in the moment” decisions students make about persistence. Specifically, the authors investigate the reasons doctoral students consider leaving their programs, and how these reasons may differ for international and domestic students. The authors also examine international–domestic patterns by sex and by program of study.

As part of a campus-wide doctoral program assessment, doctoral students and recent graduates at a large, public, Research I institution in the Midwest region of the USA are asked to complete a program satisfaction survey. Content analysis of open-ended survey responses is the basis of the analysis. Next, a code by committee approach is used whereby two members of the research team coded all open-ended responses and discussed discrepancies to reach consensus on all codes assigned, and to reduce individual biases. Each open-ended response is assigned at least one of 16 codes, with more than one code used as necessary.

The results suggest that, although both academic and social factors are important influences of doctoral departure in general, academic concerns – specifically, alignment with goals, career preparation and program structure – may be particularly important for international students, whereas social aspects – faculty relationships and program climate – may be more important for domestic US students.

Researchers should consider conducting larger, multi-institutional studies in the USA, which would reflect a diversity of perspectives and experiences within the American context. Parallel studies of doctoral programs in other countries may be useful in identifying whether similar factors are found for international and domestic students attending those programs. Follow-up interviews could be used to further delve into and understand the emergent patterns from the surveys. The findings of such future studies have the power to inform programs and policies designed to increase the retention of both domestic and international doctoral students.

Given that faculty/advising is one of the most important factors cited by both domestic and international students, our findings suggest that US faculty members may need to give more attention to nurturing supportive relationships with their advisees. Furthermore, American university administrators might consider changing tenure requirements and reward systems for professors to place more emphasis on cultivating positive relationships with advisees, publishing, presenting and writing grants with advisees, and providing high-quality mentoring for doctoral students. Doctoral-granting institutions should consider implementing regular program reviews that include surveys from doctoral students to help programs identify and meet their students’ needs.

Likewise, while other research on international students’ doctoral experiences has been conducted, such as the relationship with their faculty advisor (Kim, 2007; Rice et al., 2009), single studies that focus on factors affecting the attrition of domestic versus that of international students’ remain limited. The purpose of this study is to address the following research questions: What factors contribute to doctoral students’ considerations of departure in the USA? How might these factors differ between domestic and international students? We seek to expand understandings of doctoral attrition by using larger-scale qualitative data to address limitations of existing studies that focus on the experiences of only a few students.