Analysis of Educational Computing Research Data

CECS 6510.030 Meets Monday June 2, plus 4 - 6 additional times during SSI, with the exact scheduling depending on best fit of times for class participants. The targeted schedule will be approximately 2 meetings per week during each of the first four weeks of SSI. Classes will meet 6:30 - 9:30pm, Matthews 308. (Focused case study analyses begin at 5:30 pm on most days.)  Potential meeting dates include:

(Anticipated face-to-face meetings in bold)

Mon. June 2 (class intro, startup, first demo)
Tue. June 3
Wed. June 4
Thu. June 5

Mon. June 9
Tue. June 10
Wed. June 11
Thu. June 12

Mon. June 16 (guest lead presenter -- Knezek call in from DC)
Tue. June 17 (guest lead presenter -- Knezek call in from DC)
Wed. June 18 (guest lead presenter -- Knezek call in from DC)
Thu. June 19

Mon. June 23
Tue. June 24
Wed. June 25
Thu. June 26

Instructor: G. Knezek

Catalog Description:  CECS 6510 Analysis of Research in Educational Computing. Students will analyze current research in educational computing as a tool for understanding the unique characteristics of technology based research activities in educational environments. Special consideration will be given to strategies for separating influences in research designs that incorporate technology as tools and as variables in the design. Students will also identify potential dissertation research topics and prepare preliminary reports that will be critiqued in class in preparation for doing the dissertation.

This class is intended for those who might wish to explore preliminary analysis of data or develop instruments for topics that might someday become the focus of their dissertations. The timetable is specially arranged to allow student to go directly from Simulating Teaching & Learning to Analysis of Research if they wish. Exercises will concentrate on practical analysis of data issues using packages such as SPSS.

Deadline for Uploading Final Papers to Moodle: 
Monday August 4, 2008

Final Presentations from Previous Class

Required Readings: 5 Articles (post summary paragraph to Moodle).

Recommended Sources:

International Handbook of Information Technology in Education (Secure Site - Full Text)

International Handbook of Information Technology in Primary and Secondary Education (Publisher Website)

Collis, B., Knezek, G., Lai, K., Miyashita, K., Pelgrum, W., Plomp, T., & Sakamoto, T. (1996). Children and Computers in School. Erlbaum. (ISBN 0805820744 – available on amazon.com)

Computers in the Schools Volume: 24 Issue: 3/4 Year: 2007. (ISSN: 0738-0569. Publisher Site. Article: Effect of Technology-Based Programs on First- and Second-Grade Reading Achievement, Knezek and Christensen)

Optional Readings Book:  Bracey, G. W. (2006). Reading Educational Research. Heinemann. ISBN 0-325-00858-2.

SPSS User's Guide (optional, use of SPSS required & help available online)

SPSS Student Package (optional, use of SPSS required & available in lab)


Supplemental Audio from Prior Classes:


Summary Description of the Course:
This doctoral class provides an opportunity to apply the research designs, statistical methods and analytical frameworks learned in EDER 6010 and EDER 6020 to real data… your data, based on some theory base or research questions/ perspectives. Students will receive guidance on how to analyze their data for themselves, beginning with discussions, of how to formulate questions that can be answered: In addition, classmates will share their datasets and background information with peers thus giving everyone multiple “real world” examples of data from the field. Your final paper should be the beginning of a publication-quality product.

Grading:
Online participation: 10 pts. (including article summaries)
Inclass participation: 10 pts.
Three Assignments:  30 pts. (develop instrument, administer, code/enter data)
Final project: 50 pts. (written paper, including conceptual foundation, analyzing characteristics of measurement scales; suggested improvements)



Contact Information:

Instructor: G. Knezek

Voice Mail: 940-565-4195
FAX 940-565-4194
Email: gknezek@gmail.com

Mailing Address:
Technology and Cognition/UNT
P.O. Box 310530
Denton, TX  76203