scholarly journals Can Online Learning Bend the Higher Education Cost Curve?

2015 ◽  
Vol 105 (5) ◽  
pp. 496-501 ◽  
Author(s):  
David J. Deming ◽  
Claudia Goldin ◽  
Lawrence F. Katz ◽  
Noam Yuchtman

We examine whether online learning technologies have led to lower prices in higher education. Using data from the Integrated Postsecondary Education Data System, we show that online education is concentrated in large for-profit chains and less-selective public institutions. We find that colleges with a higher share of online students charge lower tuition prices. We present evidence of declining real and relative prices for full-time undergraduate online education from 2006 to 2013. Although the pattern of results suggests some hope that online technology can “bend the cost curve” in higher education, the impact of online learning on education quality remains uncertain.

2020 ◽  
Vol 29 (12) ◽  
pp. 21-32
Author(s):  
A. V. Dozhdikov

This article critically examines the result obtained by researchers at the Higher School of Economics in relation to the results of the experiment to assess the quality of online learning. It is noted that the thesis about the possibility of “complete replacement of traditional forms of education with online education without loss of quality” is distorted in the media, and the conclusions are based on insufficient data. To clarify the conditions of the transition and implementation of online technologies, it is proposed to hold a large-scale experiment with a randomly selection mechanisms for participants of training courses, instructors, disciplines (modules). The article focuses on the fact that while the impact of online education on the psychology and physiology of students has not been sufficiently studied, there is a risk of deteriorating health, as well as a drop in the quality of education. It is proposed to develop temporary standards limiting the maximum time of work online for different categories of students and teachers.The risks of «financial bubbles» in the online education market due to the rush demand after the COVID-19 pandemic for government agencies and private businesses has been identified. The conclusion is made about the priority development of short-term online courses related to the development of rather narrow and applied competencies in demand by the modern information society, about the possible success of online technologies in case of obtaining a “second higher” education and improving qualifications. High-quality online systems in the field of higher education require serious investments in research and development in the field of psychology and pedagogy of education, the use of medical control tools. In the medium term, the benefits of this research, conducted by medical scientists, educators and psychologists, will be used by organizations on the “second wave” of interest to online learning. From an organizational point of view, the correct “rotation” of the contingent of students, when part of the time they study full-time, and part of the time they learn online with computers / tablets and high-quality Internet access, will not lead to a deterioration in the quality of education, but will significantly reduce the spread of the pandemic.


2018 ◽  
Vol 40 (4) ◽  
pp. 631-652 ◽  
Author(s):  
Adela Soliz

This study is the first large-scale examination of the impact of for-profit colleges on the enrollment and outcomes of students at other postsecondary institutions. Using data primarily from the Integrated Postsecondary Education Data System (IPEDS) and a differences-in-differences approach, I estimate the effect of a new for-profit college opening on community college enrollments and degree completions, as well as county education levels. My results suggest that community college enrollments and degree completions do not decline when a new degree-granting for-profit college opens nearby. Furthermore, I find evidence that the county-level production of short- and long-term certificates increases after a new for-profit college opens, though the number of associate’s degrees does not increase. This evidence should serve to broaden conversations about the role of for-profit colleges in the larger landscape of the American higher education system.


2019 ◽  
Vol 47 (2) ◽  
pp. 159-177
Author(s):  
Richard M. Romano ◽  
Rita J. Kirshstein ◽  
Mark D’Amico ◽  
Willard Hom ◽  
Michelle Van Noy

Objective: In the first study of its kind, the impact of excluding noncredit enrollments in calculations of spending in community colleges is explored. Noncredit enrollments are not reported to Integrated Postsecondary Education Data System (IPEDS), but expenditures for these efforts are. This study corrects for this omission and provides new estimates of spending on community college students in four states. Method: Data on noncredit enrollments were made available from four states—New York, New Jersey, California, and North Carolina. Interviews with campus and state officials within each state helped us verify the findings. In addition, Delta Cost Project data were analyzed and adjusted to account for noncredit enrollments. Results: Our analysis indicates that the expenditure per full-time equivalent (FTE) student measure, which researchers typically use, seriously overstates the resources that community colleges have to spend on educating students; however, great variations exist within and across states. Conclusion: Community colleges are underfunded to an even greater extent than standard IPEDS analyses indicate.


2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Stephen Schiffman ◽  
Karen Vignare ◽  
Christine Geith

Using a unique item included for the first time in the Sloan Consortium’s 2006 national survey of online learning, the authors analyze the reasons why higher-education institutions engage in online learning. Nine reasons are explored from contributing to extension efforts to returning a surplus. Eight of the nine reasons are found to vary in importance depending on the type of institution. Significant differences were found for associate-level institutions, for-profit institutions and large-enrollment institutions. The authors examine the findings for access and quality themes.


2021 ◽  
pp. 72-85
Author(s):  
Nicolas Gagnon

The COVID-19 pandemic has had and will have, profound effects on adult education (Boeren, Roumell & Roessger, 2020; Kapplinger & Lichte, 2020) and online learning practices. The impact was unprecedented and led to the largest and quickest transformation of pedagogic practice ever seen in contemporary universities (Brammer & Clark, 2020). Although it is too soon for a full assessment, the first step is to gain insight into an understanding of the macro trends taking shape inside and outside the walls of institutions and then explore how these trends may affect the future. Against this background, a question arises: How is the COVID-19 pandemic shaping the future of adult online learning in higher education? Drawing on adult education and higher education scholarly and practitioner literature published over the last year, the purpose of this paper is threefold: (i) in the context of the COVID-19 pandemic, to identify and analyze emerging trends that could shape the future of adult online education in higher education, (ii) to analyze these trends over a longer time span in the literature, and (iii) to explore the possible futures of adult education and online learning in higher education.


2020 ◽  
Vol 49 (1) ◽  
pp. 20-29 ◽  
Author(s):  
Justin Paulsen ◽  
Alexander C. McCormick

Online learning is the fastest growing segment in U.S. higher education and is increasingly adopted in public and private not-for-profit institutions. While the impact of online learning on educational outcomes is becoming more clear, the literature on its connection with student engagement is sparse. Student engagement measures identify key aspects of the learning process that can improve learning and outcomes like retention and achievement. The few studies investigating the link between online learning and student engagement found positive benefits for online learners compared to face-to-face learners in terms of perceived academic challenge, learning gains, satisfaction, and better study habits. On the other hand, face-to-face learners reported higher levels of environment support, collaborative learning, and faculty interaction. However, these studies did not effectively account for the differences in background characteristics like age, time spent working or caring for dependents, and enrollment status. Further, they did not consider the increasingly large population of students who enroll in both online and face-to-face courses. In our study, we used propensity score matching on the 2015 National Survey of Student Engagement data to account for the disparities in these groups’ demographics variables. After matching, we found that some of the previous literature’s differences diminish or disappear entirely. This suggests differences in supportive environments and learning strategies have more to do with online student characteristics than learning mode. However, online learning still falls well below other modes in terms of collaborative learning and interaction with faculty.


10.28945/4664 ◽  
2020 ◽  
Vol 16 ◽  
pp. 093-121
Author(s):  
Madhumita Banerjee

Aim/Purpose: This study aims to explore levels of Technological Access (ownership, access to, and usage of computer devices as well as access to Internet services) and levels of Technological Efficacy (technology related skills) as they pertain to underserved (UNS) and underrepresented (UNR) students. Background: There exists a positive correlation between technology related access, technology related competence, and academic outcomes. An increasing emphasis on expanding online education at the author’s institution, consistent with nationwide trends, means that it is unlikely that just an increase in online offerings alone will result in an improvement in the educational attainment of students, especially if such students lack access to technology and the technology related skills needed to take advantage of online learning. Most studies on levels of Technological Access and Technological Efficacy have dealt with either K-12 or minority populations with limited research on UNS and UNR populations who form the majority of students at the author’s institution. Methodology: This study used a cross-sectional survey research design to investigate the research questions. A web survey was sent to all students at the university except first semester new and first semester transfer students from various disciplines (n = 535). Descriptive and inferential statistics were used to analyze the survey data. Contribution: This research provides insight on a population (UNS and UNR) that is expanding in higher education. However, there is limited information related to levels of Technological Access and Technological Efficacy for this group. This paper is timely and relevant as adequate access to technology and technological competence is critical for success in the expanding field of online learning, and the research findings can be used to guide and inform subsequent actions vital to bridging any educational equity gap that might exist. Findings: A critical subset of the sample who were first generation, low income, and non-White (FGLINW) had significantly lower levels of Technological Access. In addition, nearly half of the survey sample used smartphones to access online courses. Technological Efficacy scores were significantly lower for students who dropped out of or never enrolled in an online course. Transfer students had significantly higher Technological Efficacy scores while independent students (determined by tax status for federal financial aid purposes) reflected higher Technological Efficacy, but at a marginally lower level of significance. Recommendations for Practitioners: Higher education administrators and educators should take into consideration the gaps in technology related access and skills to devise institutional interventions as well as formulate pedagogical approaches that account for such gaps in educational equity. This will help ensure pathways to sustained student success given the rapidly growing landscape of online education. Recommendation for Researchers: Similar studies need to be conducted in other institutions serving UNS and UNR students in order to bolster findings and increase awareness. Impact on Society: The digital divide with respect to Technological Access and Technological Efficacy that impacts UNS and UNR student populations must be addressed to better prepare such groups for both academic and subsequent professional success. Addressing such gaps will not only help disadvantaged students maximize their educational opportunities but will also prepare them to navigate the challenges of an increasingly technology driven society. Future Research: Given that it is more challenging to write papers and complete projects using a smartphone, is there a homework gap for UNS and UNR students that may impact their academic success? What is the impact of differing levels of Technological Efficacy on specific academic outcomes of UNS and UNR students?


2020 ◽  
Vol 8 (SPE3) ◽  
Author(s):  
Iurii V. Kornilov ◽  
Dmitriy A. Danilov ◽  
Alla G. Kornilova ◽  
Aleksei I. Golikov ◽  
Ilya B. Gosudarev

The processes of online learning implementation, including e-learning and distance learning technologies in higher education have been revealed. The experience of the development of the first online courses at M. K. Ammosov North-Eastern Federal University is described. As a part of the study, the main approaches to the development of online learning in higher education are identified. The authors of the study focus on the work of the advanced training courses for the academic staff as the opportunity for professional competencies development in the context of online education.


Author(s):  
Naresh B. ◽  
Rajalakshmi M.

Higher education is enduring a transition across the world. This transition leads to the introduction of technology into the education system and provides opportunities to pursue a degree through online participation. According to Bramble and Panda, globalization plays a vital role in recognizing the necessity of providing online learning opportunities in higher education. The stakeholders and education institutions are very much concerned about the massive potential of online learning models. In the span of a decade, the demand for online courses has increased due to change in technology, lifestyle, economics, concerns of employees to develop knowledge, new competency skills and thinning out the geographical differences, etc. The innovative archetype of the online education is significant in quality, course content, satisfaction, and the perception of the users from various levels when compared to traditional face-to-face classroom systems. As a result, online education is more effective and efficient than the model of face-to-face education. The main objective of this research is to analyse and measure the various factors that affect employer perception towards online education systems in their recruitment process and cycle. 549 articles have been examined in terms of integrated literature review system to measure the impact. The result indicates, awareness, readiness, credentials and reputation are the major factors that affect employer perception on hiring decision.


2020 ◽  
Vol 49 (5) ◽  
pp. 376-381
Author(s):  
Karly Ford ◽  
Kelly Rosinger ◽  
Qiong Zhu

One ethnoracial reporting category perplexes higher education researchers: “race and ethnicity unknown.” Using the Integrated Postsecondary Education Data System (IPEDS), we constructed a 28-year panel of 4,401 institutions. We find that the for-profit sector ranges from 5% to 18% “race unknown” students. In addition, almost 10% of students attending the most selective institutions were reported as “race unknown” in 2009 before dropping off precipitously. The size of the “race unknown” category can be attributed to some combination of student responses and data collection practices. We suggest researchers refrain from dropping “race unknown” from their studies as doing so may bias findings for the other ethnoracial categories, especially when comparing rates of student enrollment across institutional types.


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