Educational Research Methods 10
- 1 Research Methods for the Learning Sciences 85-748
- 1.1 Class times
- 1.2 Location
- 1.3 Instructors
- 1.4 Class URL
- 1.5 Goals
- 1.6 Course Prerequisites
- 1.7 Textbook and Readings
- 1.8 Reading Reports
- 1.9 Grading
- 1.10 Class Schedule
- 1.10.1 Basic Research & Experimental Methods (Koedinger, Pavlik)
- 1.10.2 Cognitive Task Analysis (Koedinger, Pavlik)
- 1.10.3 Video and Verbal Protocol Analysis (Lovett, Rosé)
- 1.10.4 Psychometrics, reliability, Item Response Theory (Junker, Koedinger)
- 1.10.5 NO CLASS – Spring break
- 1.10.6 OPEN? [Design Research?]
- 1.10.7 Surveys, Questionnaires, Interviews (Kiesler)
- 1.10.8 Educational data mining (Scheines, Pavlik, Koedinger)
- 1.10.9 Cognitive Task Analysis - Revisited (Koedinger, Pavlik)
- 1.10.10 Wrap-up
Research Methods for the Learning Sciences 85-748
Spring 2010 Syllabus Carnegie Mellon University
4:30 to 5:50 Tuesday & Thursday
336B Baker Hall for the first day.
3501 Newell Simon Hall thereafter.
Professor Ken Koedinger
Location: 3601 Newell-Simon Hall
Office hours by appointment
Dr. Philip I. Pavlik Jr.
Location: 300S Craig St, 224
Office hours by appointment
Location: GHC 8003
Office hours by appointment
The goals of this course are to learn data collection, design, and analysis methodologies that are particularly useful for scientific research in education. The course will be organized in modules addressing particular topics including overview of methods, cognitive task analysis, qualitative methods, protocol and discourse analysis, and educational data mining and log analysis. A key goal is to help students think about and learn how to apply these methods to their own research programs.
To enroll you must have taken 85-738, "Educational Goals, Instruction, and Assessment" or get the permission of the instruction.
Textbook and Readings
"The Research Methods Knowledge Base: 3rd edition" by William M.K. Trochim and James P. Donnelly. You can find it at www.atomicdogpublishing.com/BookDetails.asp?BookEditionID=160
Other readings will be assigned in class.
We will be using Google Wave for course reading reports and discussions. Google Wave combines discussion boards, instant messengers, and wikis into a single system. You can use it just as you would a discussion board, but you can also edit your own / other peoples' posts, play back the changes, and see changes update in real-time. Further details and account invitations will be discussed in class.
Reading reports consist of three parts: students are required to submit at least one original post per reading assignment, at least one reply or comment on another student's post, and at least one substantive addition to the reading assignment summary. More posts, replies, and summary improvements are encouraged.
|Original Post (Tuesday Reading)||Reply (Tuesday Reading)
Summary Edits (Tuesday Reading)
|Original Post (Thursday Reading)
Summary Edits (Thursday Reading)
|Reply (Thursday Reading)|
Posts and Replies
Original posts should contain at least one of the following:
- a question you had about the reading or something important you did not understand
- an idea inspired by the reading
- an interesting connection with something you learned or did previously in this or another course, or in other professional work or research
For readings due on a Tuesday, the original post must be submitted by Monday morning.
For readings due on a Thursday, the original post must be submitted by Thursday morning.
Replies must be:
- an on-topic, relevant response, clarification, or further comment on another student’s post
For readings due on a Tuesday, at least one reply must be submitted by Tuesday morning.
For readings due on a Thursday, at least one reply must be submitted by Sunday morning.
This means that replies for Tuesday readings are due before class, whereas replies for Thursday readings are due after. Please use this extra time to have a full and meaningful discussion on the topics discussed.
For each reading assignment, one student will be responsible for a finished summary of that assignment and its related discussion. However, all students are required to contribute to the summary. The easiest way to do this is to add aspects of your original post or reply in an abbreviated form to the summary.
Each summary will consist of:
- A brief overview of the reading assignment. For a chapter from the textbook, this should be a couple sentences on major topics addressed in the chapter. For a research paper, this should be a couple sentences covering the research question(s) and primary result(s).
- A brief discussion of the methodology. For a chapter from the textbook, this should be a more detailed discussion of the main research methodology discussed. For a research paper, this should be a couple sentences discussing aspects of the data, such as the subject population or analytical methods.
- A listing of major issues or suggestions for the paper, as related to the course. Threats to validity and problems with test reliability are example topics, as well as suggestions on how to avoid or resolve such issues.
The first two parts of the summary should be complete by the morning of the day of class.
The listing of issues and suggestions should be complete within one week of the due date for the reading assignment.
There will be assignments associated with each section of the course. Grades will be determined by your performance on these assignments, by your participation in Reading Reports, and by your participation in class.
- Course work
- 10% Reading reports
- 50% Homework assignments
- Project & final paper
- 40% Design a new study based on one (or more) of these methods that pushes your own research in a new direction.
Basic Research & Experimental Methods (Koedinger, Pavlik)
- Reading: Trochim Ch 1 and 7
- Reading: Trochim Ch 8-10
- Reading: Trochim Ch 11
- Assignment 1 due before class
Cognitive Task Analysis (Koedinger, Pavlik)
Video and Verbal Protocol Analysis (Lovett, Rosé)
Psychometrics, reliability, Item Response Theory (Junker, Koedinger)
NO CLASS – Spring break
OPEN? [Design Research?]
Surveys, Questionnaires, Interviews (Kiesler)
Educational data mining (Scheines, Pavlik, Koedinger)
- 4-15-09 NO CLASS – Spring Carnival
Cognitive Task Analysis - Revisited (Koedinger, Pavlik)