Two colleagues, Chuck Dziuban (University of Central Florida) and Charles Graham (Brigham Young University) and I are editing a new book on blended learning research (see blurb and chapter proposal format below). If anybody would like to submit a chapter proposal, the deadline is July 1, 2012.
If you have any questions, feel free to contact me or one of my co-authors (email addresses below).
Research Perspectives in Blended Learning
(Publisher: Taylor and Francis, Inc.)
Anthony G. Picciano
City University of New York
The University of Central Florida
Charles R. Graham
Brigham Young University
In 2007, twenty-five researchers in the United States contributed to Blended Learning: Research Perspectives. It was hailed as the first and most comprehensive book dedicated entirely to research in blended learning and examined issues related to definition, conceptual frameworks, and models and reported on primary research in what was a new instructional technology phenomenon. A. Frank Mayadas (The Alfred P. Sloan Foundation) commented that this book “is the first major and long-overdue work of research on blended learning…A must read for anyone serious about understanding today’s pedagogical practices”. Diane Oblinger (President, EDUCAUSE) stated “If you’re an administrator or faculty member who wants to do blended learning really well, this [book] is an important resource that integrates theory, research and experience”. At recent meetings of the Sloan Consortium, several of the original contributors, discussed whether or not the time had come to publish a new edition of this work. Given the growth and importance of blended learning environments to education at all levels, the authors are preparing a new edition that will update as well as seek new research and knowledge about blended learning as it has evolved over the past five years.
Blended learning presents one of the most important vehicles for education reform and improvement in our educational system. As government, foundations, schools and colleges move forward with plans and investments, the timing is perfect for a new examination of the research on blended learning. This proposed book will be designed to provide this new examination. The first edition of Blended Learning: Research Perspectives was published by the Sloan Consortium primarily as a resource for its members, however, with minimal marketing, it received widespread distribution. The first edition remains the only exclusively research volume on this subject. We anticipate that this new edition will be more popular because of the growing interest in blended learning.
- Title (APA Format)
- Brief Statement of the Problem
- Brief Statement of the Methodology
- Brief Statement of Findings or Conclusions (if available)
Sample Chapter Proposal
Title: Relationship of computer science aptitude with selected achievement measures among junior high school students.
Authors: Sam Smith (University of Denver) and Jane Lewis (University of Denver)
Statement of the Problem
The purpose of this study was to examine the relationship between computer science aptitude and achievement at the junior high school level.
- A correlation exists between computer science aptitude and general achievement, mathematical achievement, and achievement in courses using computer-assisted instruction (CAI).
- Are there differences for the above based on the sex of students?
Seventh and eighth grade upper-middle class students from a private metropolitan junior high school participated in this study (N=69). The Konvalina, Stephens, and Wileman Computer Science Placement Test (KSW) was used as the computer science aptitude measure. The Science Research Associates Survey of Basic Skills Test, the students first semester mathematics grade, the students second semester mathematics grade, and the final first semester exam score of programming work done in BASIC were the achievement variables. To measure the relationship between the aptitude and achievement variables, the Pearson Product Moment correlation coefficient was used. The 2-sample t-test was used to test for differences in computer science aptitude for males and females.
A high positive correlation between KSW performance and each of the achievement variables was found for all groups. The findings indicate no difference in computer science aptitude test scores between males and females.
Proposal deadline: July 1, 2012
Send proposals to: Anthony Picciano (email@example.com),
Charles Dziuban (Charles.dziuban@ucf,edu), Charles Graham (Charles.firstname.lastname@example.org)