Supporting Students in Online, Open and Distance Learning
By Ormond Simpson. 2000
316 citations recorded by the source corpus.
Recognized as the leading book on the subject, Supporting Students in Online, Open and Distance Learning considers the support of students either on or off-campus. Ever-greater numbers of students are studying as part of open, flexible, distance or online courses and, with the rise in numbers and expectations, so the need to offer these often-diverse students effective support is critical. Fully revised and expanded, this new edition reflects current concerns and developments in ODL. It includes increased coverage of tuition in different media, issues of student retention, structures and quality assurance, staff development, online support and computer conferencing. Practical and authoritative, the book tackles the full range of student support issues in ODL, including: *developing the most appropriate tuition techniques *social support *retention *delivering support at a distance and online *face-to-face support *learning-skills and staff development Supporting Students in Online, Open and Distance Learning is essential reading for all those with an interest in recruiting and teaching students in open and distance learning or e-learning situations. It will help lecturers, moderators and tutors to develop a range of skills with a focus on support, retention and student outcomes.
Subfields: Computer Science Applications, Education
View Paper: https://www.semanticscholar.org/paper/c442a2d3793607cfd16fefbb1b37a7d8cb8d5cf6
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In Computer Science Applications
In Education
Citations in the corpus
- Will MOOCs transform learning and teaching in higher education? Engagement and course retention in online learning provision (2015, background): “High “attrition rates” have been problematic for wider uptake of online courses (eg, Simpson, 2013).”
- Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020 (2022, background): “An increase in rates of dropout unavoidably leads to reduce graduation rates, which may have a negative effect on the online learning quality (Simpson, 2018).AI applications in online higher education are mainly the prediction models to predict the student’s risk of dropouts and final academic…”
- Persistence in University Continuing Education Online Classes (2007, background): “Ormond Simpson expands this list of possible definitions of what ‘dropout’ might mean in his book “Supporting Students in Online, Open, and Distance Learning” (Simpson, 2002).”