As Distance Education Comes of Age, the Challenge Is Keeping the Students.
By Sarah Carr. 2000
921 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/5a0d942160110414dd494be368fc1ffaf93f4b3e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Youngjun Lee
- Di Xu
- Doris U. Bolliger
- Jaeho Choi
- Krystle Phirangee
- Shanna Smith Jaggars
- Alesia Malec
- T. Müller
Citations in the corpus
- Effectiveness of Fully Online Courses for College Students: Response to a Department of Education Meta-Analysis (2010, background): “Studies of community colleges typically report course withdrawal rates in the 20–30% range, with higher withdrawal rates for online courses (Beatty-Guenter, 2003; Carr, 2000; Chambers, 2002; Moore, Bartkovich, Fetzner, & Ison, 2003).”
- Student barriers to online learning: A factor analytic study (2005, background): “…their past, present, or future online learning experiences, the students’ perceptions may contribute to such outcomes as higher dropout rates (Carr, 2000), low motivation of students to learn (Maltby & Whittle, 2000), and lower student satisfaction with the learning experience (Kenny,…”
- Retaining the Online Learner: Profile of Students in an Online MBA Program and Implications for Teaching Them (2004, background): “Additional costs come from the higher drop rate for online courses compared with traditional courses (Carr, 2000).”
- A Comprehensive Look at Distance Education in the K–12 Context (2006, background): “The researchers concluded, “As distance education is currently practiced, educators and other stakeholders can reasonably expect learning in a well-designed distance education environment to be equivalent to learning in a well-designed classroom environment” (Cavanaugh et al., 2004, p. 20). In addit”
- Comparing the Effectiveness of Classroom and Online Learning: Teaching Research Methods (2013, background): “Carr (2000) reported dropout rates as high as 80% in online classes and suggested a rule of thumb that course completion rates are often 10 to 20% higher in traditional courses.”
- Dropout prediction in e-learning courses through the combination of machine learning techniques (2009, background): “Despite the fact that they appeal to a great number of students, web-based courses demonstrate higher dropout rates than traditional education courses, often surpassing the latter by a 10-20% rate as reported by Carr (2000) and Diaz (2002).”
- COVID-19 and E-Learning: the Challenges of Students in Tertiary Institutions (2020, background): “Carr (2000) was of the view that student perception about on-line learning has been negative due to past experiences resulting in high dropouts and low motivation of learner (Maltby & Whittle, 2000).”
- Impact of podcasting on student motivation in the online learning environment (2010, background): “B 0360-1315/$ e see front matter 2010 Elsevier Ltd. doi:10.1016/j.compedu.2010.03.004 a b s t r a c t Researchers investigated the impact of podcasting on student motivation in the online environment during fall 2008 and spring 2009.”
- Motivation in online learning: Testing a model of self-determination theory (2010, background): “As high attrition rates – a negative indicator of motivation – becomes a pressing issue of online learning and a major concern of online educators (Carr, 2000; Clark, 2003), it is ll rights reserved. ax: +886 2 8773 2903.”
- Student Attrition in Mathematics E-Learning (2005, background): “Previous studies of attrition in e-learning focused on issues such as student demographics (Morgan & Tam, 1999; Carr, 2000), personal characteristics (self starters, self disciplined, familiar with e-learning, etc) (Roblyer, 1999; Wade, 1999) and experience of online instructors (Carr, 2000).”
- An Exploration Into the Importance of a Sense of Belonging for Online Learners (2020, background): “However, for many learners, the online space may be alien, even threatening (Thomas, 2012), resulting in high attrition rates and lower than expected learner attainment compared with campus-based learners (Carr, 2000).”
- The Effect of Peer Collaboration and Collaborative Learning on Self-Efficacy and Persistence in a Learner-Paced Continuous Intake Model (2008, background): “Drop out in distance education courses is not only an issue in Quebec, but one that distance educators face around the world (Carr, 2000; Elliot, Friedman, & Briller, 2005).”
- A review of online course dropout research: implications for practice and future research (2011, background): “However, although online learning has gained immense popularity and attention, recent studies indicate online courses have significantly higher student dropout rates than conventional courses (Carr 2000; Levy 2007; Tello 2007).”
- Sense of community, perceived cognitive learning, and persistence in asynchronous learning networks (2002, background): “Persistence in distance education programs can be significantly lower than that of traditional face-to-face programs (Bernard & Amundsen, 1989; Carr, 2000).”
- Coursera's Introductory Human Physiology Course: Factors That Characterize Successful Completion of a MOOC. (2015, background): “Students in online university courses have higher attrition rates compared to face-to-face courses (Carr, 2000; Xu, 2014; Xu, 2011).”
- Factors influencing faculty satisfaction with online teaching and learning in higher education (2009, background): “Perceptions about their learning experiences can influence students in their decision to continue with the course (Carr, 2000) and impact levels of satisfaction with overall online learning experiences (Kenny, 2003).”
- Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas (2014, background): “…& Jaggars, 2010), community colleges often observe markedly lower persistence rates and course grades in online courses (e.g., Beatty-guenter, 2003; carr, 2000; chambers, 2002; cox, 2006; kaupp, 2012; moore, Bartkovich, Fetzner, & ison, 2003). large-scale studies of two community college systems…”