Educational Research Methods 2012 - Revision history

Koedinger at 15:19, 24 November 2012

2012-11-24T15:19:34Z

← Older revision		Revision as of 15:19, 24 November 2012
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			More recent version at [[Educational Research Methods 2013]]
	==Research Methods for the Learning Sciences 05-748==		==Research Methods for the Learning Sciences 05-748==
	Spring 2012 Syllabus Carnegie Mellon University		Spring 2012 Syllabus Carnegie Mellon University

Koedinger: /* Class Schedule with Readings and Assignments */

2012-05-01T13:06:26Z

Class Schedule with Readings and Assignments

← Older revision		Revision as of 13:06, 1 May 2012
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	**Reading: Trochim Ch 7		**Reading: Trochim Ch 7
	**Slides: [[Media:L02_--_Basic_Research_and_Experimental_Methods.ppt\|ppt]]		**Slides: [[Media:L02_--_Basic_Research_and_Experimental_Methods.ppt\|ppt]]
	**Assignment on Experimental Research Methods: [[Media:Assignment1.doc\|Assignment1.doc]]
	***Paper: [[Media:1996_Marcus.pdf\|1996_Marcus.pdf]]
	*4-26-12		*4-26-12
	**Reading: Trochim Ch 9		**Reading: Trochim Ch 9
	**Slides: [[Media:L03-True-Experiments.pdf\|pdf]] OR [[Media:L03-True-Experiments.ppt\|ppt]]		**Slides: [[Media:L03-True-Experiments.pdf\|pdf]] OR [[Media:L03-True-Experiments.ppt\|ppt]]
	*5-1-12		*5-1-12
	**Experimental Research Assignment due before class
	**Reading: Trochim Ch 10		**Reading: Trochim Ch 10
	**Slides: [[Media:L04-quasi-experiments.pdf\|pdf]] OR [[Media:L04-quasi-experiments.ppt\|ppt]]		**Slides: [[Media:L04-quasi-experiments.pdf\|pdf]] OR [[Media:L04-quasi-experiments.ppt\|ppt]]
	*5-3-12		*5-3-12
	**Reading: Trochim Ch 14		**Reading: Trochim Ch 14
	**Try ~~Regression and~~ ANOVA ~~modules~~ of OLI Statistics course		**Optional: Try ANOVA module of OLI Statistics course

	=====Wrap-up=====		=====Wrap-up=====

Koedinger: /* Class Schedule with Readings and Assignments */

2012-04-10T11:12:20Z

Class Schedule with Readings and Assignments

← Older revision		Revision as of 11:12, 10 April 2012
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	=====Design Research & Qualitative Methods (Koedinger) =====		=====Design Research & Qualitative Methods (Koedinger) =====
	*3-8-12		*3-8-12 CANCELLED -- moved to 4-5-12
	**Trochim Ch 8 (stop before 8.5), Ch 13 (stop before 13.3)		**Trochim Ch 8 (stop before 8.5), Ch 13 (stop before 13.3)
	**Barab, S., & Squire, K. (2004). Design-based research: Putting a stake in the ground. The Journal of the Learning Sciences, 13(1). [[Media:2004 Barab Squire.pdf\|PDF]]		**Barab, S., & Squire, K. (2004). Design-based research: Putting a stake in the ground. The Journal of the Learning Sciences, 13(1). [[Media:2004 Barab Squire.pdf\|PDF]]
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	***Tourangeau, R. (2000). “Remembering what happened: Memory errors and survey reports.@ In A. Stone, J. Turkkan, C. Bachrach, J. Jobe, H. Kurtzman, & V. Cain (Eds.), The Science of Self-Report: Implications for research and practice (pp. 29-48). Englewood Cliffs, N.J.: Lawrence Erlbaum. [[Media:Tourangeau_RememberingWhatHappened.pdf]]		***Tourangeau, R. (2000). “Remembering what happened: Memory errors and survey reports.@ In A. Stone, J. Turkkan, C. Bachrach, J. Jobe, H. Kurtzman, & V. Cain (Eds.), The Science of Self-Report: Implications for research and practice (pp. 29-48). Englewood Cliffs, N.J.: Lawrence Erlbaum. [[Media:Tourangeau_RememberingWhatHappened.pdf]]

	=====Educational ~~data mining~~ (~~Scheines,~~ Koedinger) =====		=====Educational Data Mining -- Learning Curve Analysis (Koedinger) =====
	*3-27-12		*3-27-12
	**Readings:		**Readings:
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	and, most importantly, improves prediction (as measured by AIC or BIC)		and, most importantly, improves prediction (as measured by AIC or BIC)

	*4-5-12		=====Design Research & Qualitative Methods (Koedinger) =====
			*4-5-12 MOVED from 3-8-12
			**Trochim Ch 8 (stop before 8.5), Ch 13 (stop before 13.3)
			**Barab, S., & Squire, K. (2004). Design-based research: Putting a stake in the ground. The Journal of the Learning Sciences, 13(1). [[Media:2004 Barab Squire.pdf\|PDF]]
			**Optional: Chapter on Design Research in Handbook of Learning Sciences

			=====Project Review & Catch Up (Koedinger) =====
			*4-10-12
			**Make some progress on your course project and bring your ideas/questions to class. On the discussion board, please reply to my reply about your posted project idea to commit to an idea or elaborate on your plan.
			**Regarding methods we have addressed, it seems there were some lingering questions at the end of the last couple of sessions related to statistical analysis and/or design research strategies. We can talk in class about those.

			=====Educational Data Mining -- Causal Inference from Data (Scheines) =====
			*4-12-12
	**Do Unit 2 in the OLI course Empirical Research Methods		**Do Unit 2 in the OLI course Empirical Research Methods
	-- go to: http://oli.web.cmu.edu/openlearning/		go to: http://oli.web.cmu.edu/openlearning/
	-- go to Empirical Research ~~methods (on left tab)~~		in the left tab, go to "Prior work..." and then "Empirical Research Methods"
	-- click on Peek In		click on Peek In
	-- complete Unit 2		complete Unit 2
	**Read Scheines, R., Leinhardt, G., Smith, J., and Cho, K. (2005). Replacing lecture with web-based course materials. Journal of Educational Computing Research, 32, 1, 1-26. [[Media:Scheines jecr revised.doc \| PDF]]		**Read Scheines, R., Leinhardt, G., Smith, J., and Cho, K. (2005). Replacing lecture with web-based course materials. Journal of Educational Computing Research, 32, 1, 1-26. [[Media:Scheines jecr revised.doc \| PDF]]
	*4-10-12 Continuation of discussion of TETRAD		*4-17-12 Continuation of discussion of TETRAD
	*4-12-~~12 Continuation of~~ discussion of TETRAD		*4-19-12 MAKE-UP CLASS?? to continue discussion of TETRAD (Originally off for Spring Carnival)

	=====Experimental Research Methods (Koedinger)=====		=====Experimental Research Methods (Koedinger)=====
	*4-17-12		*4-24-12
	**Reading: Trochim Ch 7		**Reading: Trochim Ch 7
	**Slides: [[Media:L02_--_Basic_Research_and_Experimental_Methods.ppt\|ppt]]		**Slides: [[Media:L02_--_Basic_Research_and_Experimental_Methods.ppt\|ppt]]
	**Assignment on Experimental Research Methods: [[Media:Assignment1.doc\|Assignment1.doc]]		**Assignment on Experimental Research Methods: [[Media:Assignment1.doc\|Assignment1.doc]]
	***~~Assignment 1~~ Paper: [[Media:1996_Marcus.pdf\|1996_Marcus.pdf]]		***Paper: [[Media:1996_Marcus.pdf\|1996_Marcus.pdf]]
	*4-~~19-12 NO CLASS – Spring Carnival~~		*4-26-12
	*4-24-12
	**Reading: Trochim Ch 9		**Reading: Trochim Ch 9
	**Slides: [[Media:L03-True-Experiments.pdf\|pdf]] OR [[Media:L03-True-Experiments.ppt\|ppt]]		**Slides: [[Media:L03-True-Experiments.pdf\|pdf]] OR [[Media:L03-True-Experiments.ppt\|ppt]]
	*4-26-12		*5-1-12
			**Experimental Research Assignment due before class
	**Reading: Trochim Ch 10		**Reading: Trochim Ch 10
	**Slides: [[Media:L04-quasi-experiments.pdf\|pdf]] OR [[Media:L04-quasi-experiments.ppt\|ppt]]		**Slides: [[Media:L04-quasi-experiments.pdf\|pdf]] OR [[Media:L04-quasi-experiments.ppt\|ppt]]
	*5-1-12		*5-3-12
	**Reading: Trochim Ch 14		**Reading: Trochim Ch 14
	**Assignment 1 due before class
	**Try Regression and ANOVA modules of OLI Statistics course		**Try Regression and ANOVA modules of OLI Statistics course

	=====Wrap-up=====		=====Wrap-up=====
	*5-3-12 Course wrap-up		If needed, schedule a course wrap-up

	Final project is due May 11.		Final project is due May 11.

Koedinger: /* Class Schedule in Brief */

2012-04-03T13:41:09Z

Class Schedule in Brief

← Older revision		Revision as of 13:41, 3 April 2012
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	* Cognitive Task Analysis 1: Jan 19, 24, 26 (RTR)		* Cognitive Task Analysis 1: Jan 19, 24, 26 (RTR)
	* Video and Verbal Protocol Analysis: Jan 31, Feb 2,7,9,14,16 (TRTRTR)		* Video and Verbal Protocol Analysis: Jan 31, Feb 2,7,9,14,16 (TRTRTR)
	** Guest ~~Instructor(s)~~: Marsha Lovett & Carolyn Rose		** Guest Instructors: Marsha Lovett & Carolyn Rose
	* Cognitive Task Analysis 2: Feb 21, 23 (TR)		* Cognitive Task Analysis 2: Feb 21, 23 (TR)
	* Educational Measurement & Psychometrics: Feb 28, Mar 1, 6 (TRT)		* Educational Measurement & Psychometrics: Feb 28, Mar 1, 6 (TRT)
	** Guest Instructor~~(s)~~: Brian Junker		** Guest Instructor: Brian Junker
	* Educational Design Research: Mar 8 (R)		* Educational Design Research: Mar 8 (R) -- POSTPONED
	* NO CLASS – Spring break, Mar 13, 15 (TR)		* NO CLASS – Spring break, Mar 13, 15 (TR)
	* Surveys, Questionnaires, Interviews: Mar 20, 22 (TR)		* Surveys, Questionnaires, Interviews: Mar 20, 22 (TR)
	** Guest Instructor~~(s)~~: Sara Kiesler		** Guest Instructor: Sara Kiesler
	* Educational ~~data mining~~: March 27, 29, Apr 3, 5, 10, 12 (~~TRTRTR~~)		* Educational Data Mining & Learning Curves: March 27, 29, Apr 3 (TRT)
	** Guest Instructor~~(s)~~: Richard Scheines (~~& Ken Koedinger~~)		* Educational Design Research: Apr 5 (R) -- MOVED from above
	* Experimental Methods: Apr ~~17,~~ 24, 26, May 1 (~~TTRT)~~		* Educational Data Mining & Causal Inference: Apr 10, 12, 17 (TRT)
	** NO CLASS – Spring Carnival, Apr 19 (R)		** Guest Instructor: Richard Scheines
			* NO CLASS – Spring Carnival, Apr 19 (R)
			* Experimental Methods: Apr 24, 26, May 1 (TRT)
	* Wrap-up: May 3 (R)		* Wrap-up: May 3 (R)

Koedinger: /* Educational data mining (Scheines, Koedinger) */

2012-04-03T13:36:12Z

Educational data mining (Scheines, Koedinger)

@@ Line 295: / Line 295: @@
 ***'''Optional:''' Martin, B., Mitrovic, T., Mathan, S., & Koedinger, K.R. (2011). Evaluating and improving adaptive educational systems with learning curves. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI). 21(3), pp. 249-283. [[Media:xxx | file]]
 *4-3-12
-**Roberts, Seth, & Pashler, Harold. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107(2), 358 - 367. [[Media:2000_roberts_pashler.pdf]]
+**Please finish off one of the two exercises you started for last class. See A or B further below. In either case, provide a brief writeup in response to each of the numbered steps and include  a summary of the result you achieved (e.g., did you get a more predictive model as measured by AIC, BIC, or cross validation).  Turn in this writeup and the supporting file (KC model table or R file) on Blackboard.
-**Schunn, C. D., & Wallach, D. (2005). Evaluating goodness-of-fit in comparison of models to data. In W. Tack (Ed.), Psychologie der Kognition: Reden and Vorträge anlässlich der Emeritierung von Werner Tack (pp. 115-154). Saarbrueken, Germany: University of Saarland Press. [[Media:GOF.doc]]
+**ALSO, make a post about your idea for a course final project.  What method might you apply to address what research question?
 *4-5-12
 **Do Unit 2 in the OLI course Empirical Research Methods

Koedinger: /* Grading */

2012-03-30T13:15:46Z

Grading

← Older revision		Revision as of 13:15, 30 March 2012
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	** 30% Before-class preparation, including reading reports, and in-class participation		** 30% Before-class preparation, including reading reports, and in-class participation
	** 40% Assignments		** 40% Assignments
	* Project & final paper		* Project & final paper - Due May 11.
	** 30% Design a new study based on one or more of these methods that pushes your own research in a new direction.		** 30% Design a new study based on one or more of these methods that pushes your own research in a new direction.
	:# Apply a method from the class to your research. You should not choose a method that you already know well.		:# Apply a method from the class to your research. You should not choose a method that you already know well.

Koedinger: /* Wrap-up */

2012-03-27T20:40:29Z

Wrap-up

← Older revision		Revision as of 20:40, 27 March 2012
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	=====Wrap-up=====		=====Wrap-up=====
	*5-3-12 Course wrap-up		*5-3-12 Course wrap-up

			Final project is due May 11.

Koedinger: /* Educational data mining (Scheines, Koedinger) */

2012-03-25T02:16:40Z

Educational data mining (Scheines, Koedinger)

← Older revision		Revision as of 02:16, 25 March 2012
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	***Ritter, F.E., & Schooler, L. J. (2001). The learning curve. In W. Kintch, N. Smelser, P. Baltes, (Eds.), International Encyclopedia of the Social and Behavioral Sciences. Oxford, UK: Pergamon. [[Media:RittterSchooler01.pdf \| RittterSchooler01.pdf]]		***Ritter, F.E., & Schooler, L. J. (2001). The learning curve. In W. Kintch, N. Smelser, P. Baltes, (Eds.), International Encyclopedia of the Social and Behavioral Sciences. Oxford, UK: Pergamon. [[Media:RittterSchooler01.pdf \| RittterSchooler01.pdf]]
	***Stamper, J. & Koedinger, K.R. (2011). Human-machine student model discovery and improvement using data. In J. Kay, S. Bull & G. Biswas (Eds.), Proceedings of the 15th International Conference on Artificial Intelligence in Education, pp. 353-360. Berlin: Springer.[[Media:Stamper-Koedinger-AIED2011.pdf\| Stamper-Koedinger-AIED2011.pdf]]		***Stamper, J. & Koedinger, K.R. (2011). Human-machine student model discovery and improvement using data. In J. Kay, S. Bull & G. Biswas (Eds.), Proceedings of the 15th International Conference on Artificial Intelligence in Education, pp. 353-360. Berlin: Springer.[[Media:Stamper-Koedinger-AIED2011.pdf\| Stamper-Koedinger-AIED2011.pdf]]
	**'''Short assignment:''' The assignment is a tutorial on using DataShop to begin analyzing learning curves~~. It will be available before early tomorrow (3/25) morning~~. [[Media:~~Learning-curve~~-~~assignment2~~.~~doc~~ \| ~~Learning-curve~~-~~assignment~~.~~doc~~]]		**'''Short assignment:''' The assignment ([[Media:Learning-curve-assignment-2012.doc \| Learning-curve-assignment-2012.doc]]) is a tutorial on using DataShop to begin analyzing learning curves. [[Media:Geometry_-_Unit_Area.pdf \| This file (Geometry_-_Unit_Area.pdf)]] will be needed to help answer questions Q6-Q7.
	**On the discussion board, 1) post a comment or question about at least one of the two readings and 2) attach your assignment and/or bring a hard copy of it to class. That is, only one post is required (but more than one is welcome).		**On the discussion board, 1) post a comment or question about at least one of the two readings and 2) attach your assignment and/or bring a hard copy of it to class. That is, only one post is required (but more than one is welcome).
	*3-29-12		*3-29-12

Koedinger: /* Educational data mining (Scheines, Koedinger) */

2012-03-24T20:00:47Z

Educational data mining (Scheines, Koedinger)

← Older revision		Revision as of 20:00, 24 March 2012
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	=====Educational data mining (Scheines, Koedinger) =====		=====Educational data mining (Scheines, Koedinger) =====
	*3-27-12		*3-27-12
	**Ritter, F.E., & Schooler, L. J. (2001). The learning curve. In W. Kintch, N. Smelser, P. Baltes, (Eds.), International Encyclopedia of the Social and Behavioral Sciences. Oxford, UK: Pergamon. [[Media:RittterSchooler01.pdf]]		**Readings:
	**~~Zhang, X., Mostow~~, J., & ~~Beck~~, J. E. (~~2007~~, ~~July 9)~~. ~~All in the~~ (~~word~~) ~~family~~: ~~Using learning decomposition to estimate transfer between skills in a Reading Tutor that listens~~. ~~AIED2007 Educational Data Mining Workshop, Marina del Rey, CA~~ [[Media:~~AIED2007_EDM_Zhang_ld_transfer~~.pdf]]		***Ritter, F.E., & Schooler, L. J. (2001). The learning curve. In W. Kintch, N. Smelser, P. Baltes, (Eds.), International Encyclopedia of the Social and Behavioral Sciences. Oxford, UK: Pergamon. [[Media:RittterSchooler01.pdf \| RittterSchooler01.pdf]]
	**'''~~Assignment~~:''' ~~Due Thursday, 4~~/1. [[Media:Learning-curve-assignment.doc ~~\| DOC~~]]		***Stamper, J. & Koedinger, K.R. (2011). Human-machine student model discovery and improvement using data. In J. Kay, S. Bull & G. Biswas (Eds.), Proceedings of the 15th International Conference on Artificial Intelligence in Education, pp. 353-360. Berlin: Springer.[[Media:Stamper-Koedinger-AIED2011.pdf\| Stamper-Koedinger-AIED2011.pdf]]
			**'''Short assignment:''' The assignment is a tutorial on using DataShop to begin analyzing learning curves. It will be available before early tomorrow (3/25) morning. [[Media:Learning-curve-assignment2.doc \| Learning-curve-assignment.doc]]
			**On the discussion board, 1) post a comment or question about at least one of the two readings and 2) attach your assignment and/or bring a hard copy of it to class. That is, only one post is required (but more than one is welcome).
	*3-29-12		*3-29-12
	**~~Register an account on DataShop ( http~~:~~//www~~.~~pslcdatashop~~.~~org~~ ) ~~and watch~~ [~~https~~:~~//pslcdatashop~~.~~web~~.~~cmu.edu/about/case-studies/ken-geometry/index.html this video~~].		**Readings:
	**~~''Reading'':~~ Cen, H., Koedinger, K. R., & Junker, B. (2006). Learning Factors Analysis: A general method for cognitive model evaluation and improvement. In M. Ikeda, K. D. Ashley, T.-W. Chan (Eds.) Proceedings of the 8th International Conference on Intelligent Tutoring Systems, 164-175. Berlin: Springer-Verlag. [http://learnlab.org/uploads/mypslc/publications/learning_factor_analysis_5.2.pdf PDF]		***Zhang, X., Mostow, J., & Beck, J. E. (2007, July 9). All in the (word) family: Using learning decomposition to estimate transfer between skills in a Reading Tutor that listens. AIED2007 Educational Data Mining Workshop, Marina del Rey, CA [[Media:AIED2007_EDM_Zhang_ld_transfer.pdf\|AIED2007_EDM_Zhang_ld_transfer.pdf]]
			***Cen, H., Koedinger, K. R., & Junker, B. (2006). Learning Factors Analysis: A general method for cognitive model evaluation and improvement. In M. Ikeda, K. D. Ashley, T.-W. Chan (Eds.) Proceedings of the 8th International Conference on Intelligent Tutoring Systems, 164-175. Berlin: Springer-Verlag. [http://learnlab.org/uploads/mypslc/publications/learning_factor_analysis_5.2.pdf PDF]
			***'''Optional:''' Martin, B., Mitrovic, T., Mathan, S., & Koedinger, K.R. (2011). Evaluating and improving adaptive educational systems with learning curves. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI). 21(3), pp. 249-283. [[Media:xxx \| file]]
	*4-3-12		*4-3-12
	**Roberts, Seth, & Pashler, Harold. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107(2), 358 - 367. [[Media:2000_roberts_pashler.pdf]]		**Roberts, Seth, & Pashler, Harold. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107(2), 358 - 367. [[Media:2000_roberts_pashler.pdf]]
	**Schunn, C. D., & Wallach, D. (2005). Evaluating goodness-of-fit in comparison of models to data. In W. Tack (Ed.), Psychologie der Kognition: Reden and Vorträge anlässlich der Emeritierung von Werner Tack (pp. 115-154). Saarbrueken, Germany: University of Saarland Press. [[Media:GOF.doc]] ~~No Summary Required.~~		**Schunn, C. D., & Wallach, D. (2005). Evaluating goodness-of-fit in comparison of models to data. In W. Tack (Ed.), Psychologie der Kognition: Reden and Vorträge anlässlich der Emeritierung von Werner Tack (pp. 115-154). Saarbrueken, Germany: University of Saarland Press. [[Media:GOF.doc]]
	*4-5-12		*4-5-12
	**Do Unit 2 in the OLI course Empirical Research Methods		**Do Unit 2 in the OLI course Empirical Research Methods

Koedinger: /* Surveys, Questionnaires, Interviews (Kiesler) */

2012-03-20T18:45:18Z

Surveys, Questionnaires, Interviews (Kiesler)

← Older revision		Revision as of 18:45, 20 March 2012
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	***You already read Ch 5 for the Psychometric section, so just review it. For both chapters, answer Trochim's on-line questions before and/or after reading (answering the questions before gives you goals for reading). For discussion board posts, do one post on how have or might use a survey (e.g., of student attitudes) in your own research. Make another post about Chapter 4, such as something you learned, a question you have, or an answer to someone else's question.		***You already read Ch 5 for the Psychometric section, so just review it. For both chapters, answer Trochim's on-line questions before and/or after reading (answering the questions before gives you goals for reading). For discussion board posts, do one post on how have or might use a survey (e.g., of student attitudes) in your own research. Make another post about Chapter 4, such as something you learned, a question you have, or an answer to someone else's question.
	*3-22-12		*3-22-12
	**Tourangeau, Roger, and T. Yan. 2007. "Sensitive questions in surveys." Psychological Bulletin, 133(5): 859-883. [[Media:Tourangeau_SensitiveQuestions.pdf]]		**Do the following homework assignment [[Media:Arm-modQuestEduc.doc]]. Sara directs: Keep the text that's there and fill in answers, working through it step by step. I'm just as interested in your revisions as in the final version. Est time 45 minutes.
	**Tourangeau, R. (2000). “Remembering what happened: Memory errors and survey reports.@ In A. Stone, J. Turkkan, C. Bachrach, J. Jobe, H. Kurtzman, & V. Cain (Eds.), The Science of Self-Report: Implications for research and practice (pp. 29-48). Englewood Cliffs, N.J.: Lawrence Erlbaum. [[Media:Tourangeau_RememberingWhatHappened.pdf]]		**Readings
			***Tourangeau, Roger, and T. Yan. 2007. "Sensitive questions in surveys." Psychological Bulletin, 133(5): 859-883. [[Media:Tourangeau_SensitiveQuestions.pdf]]
			***Tourangeau, R. (2000). “Remembering what happened: Memory errors and survey reports.@ In A. Stone, J. Turkkan, C. Bachrach, J. Jobe, H. Kurtzman, & V. Cain (Eds.), The Science of Self-Report: Implications for research and practice (pp. 29-48). Englewood Cliffs, N.J.: Lawrence Erlbaum. [[Media:Tourangeau_RememberingWhatHappened.pdf]]

	=====Educational data mining (Scheines, Koedinger) =====		=====Educational data mining (Scheines, Koedinger) =====