Internet Learning Volume 4, Number 1, Spring 2015 | Page 108

Internet Learning Journal – Volume 4, Issue 1 – Spring 2015
Table 1 Final Text Book Sample Selected
Popular textbooks 2003 to 2007 Popular textbooks 1999 to 2002
1. How to Teach Online (and Make
$100,000 a Year) by Brown (2007)
2. Student Engagement in Campus-Based
and Online Education: University
Connections by Coates (2006)
3. Learning in Real Time: Synchronous
Teaching and Learning Online by
Finkelstein (2006)
4. 500 Tips for Open and Online
Learning by Race (2005)
5. 75 E-Learning Activities: Making
Online Learning Interactive by Watkins
(2005)
6. Collaborating Online: Learning
Together in Community by Palloff and
Pratt (2005)
7. Student Retention in Online, Open,
and Distance Learning by Simpson (2003)
8. The Virtual Student: A Profile &
Guide to Working with Online Learners
by Palloff and Pratt (2003)
9. Discussion-Based Online Teaching to
Enhance Student Learning: Theory,
Practice and Assessment by Bender
(2003)
10. Teaching & Learning Online by
Morris (2002)
11. E-Activities: The Key to Online
Teaching, Training and Learning by
Salmon (2002)
12. Teaching Online by Draves (2002)
13. Supporting Students in Online, Open
and Distance Learning by Simpson
(2002)
14. E-Moderating: The Virtual Student by
Salmon (2001)
15. Teaching Online: A Practical Guide
by Ko and Rossen (2001)
16. Facilitating Online Learning:
Effective Strategies for Moderators by
Collison, Elbaum, Haavind, and Tinker
(2000)
17. 147 Practical Tips for Teaching
Online Groups: Essentials of Web-Based
Education by Hanna, Glowacki-Dudka,
and Conceicao-Runlee (2000)
18. Online Education: Learning and
Teaching in Cyberspace by Kearsley
(2000)
19. Building Learning Communities in
Cyberspace: Effective Strategies for the
Online Classroom by Palloff and Pratt
(1999)
Sampling
A total of 19 independently authored textbooks were included, nine from 2003 to
2007 and 10 from 1999 through 2002. Although several other textbooks were found, they
were not independently authored as discussed earlier. Based on the keyword search and
Amazon.com’s popular ranking method, reproducing the same sample again, may not be
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