Core Methods in Educational Data Mining HUDK4050 Fall 2014.

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Core Methods in Educational Data Mining HUDK4050 Fall 2014.

Core Methods in Educational Data Mining HUDK4050 Fall 2014.

Core Methods in Educational Data Mining HUDK4050 Fall 2014.

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

DATA MINING © Prentice Hall.

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Special Topics in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Feature Engineering Studio Special Session

Big Data, Education, and Society

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Core Methods in Educational Data Mining

Presentation transcript:

Core Methods in Educational Data Mining HUDK4050 Fall 2014

Any administrative questions?

The Homework Let’s go over the homework

Q1 Answers?

Q2 Answers? How did you modify the model to remove the student term? – Were there multiple ways to accomplish this?

Q2 Answers? Did the number go up? Go down? Stay the same? – What does this mean?

Q3 Answers?

Q4 Answers?

Q4 Answers? Was this algorithm successful?

Q4 Answers? What does a negative number imply?

Q5 Answers?

Q6 Answers?

Q6 Answers? How did you do the variable transform? – Why did you need to do the variable transform?

Q7 Answers?

Q7 Answers? Was this a successful algorithm? – Does this mean you should always avoid this algorithm?

Q8 and Q9 Answers?

Q10 Answers?

Q12 Answers?

Questions? Comments? Concerns?

How did you like RapidMiner?

Other RapidMiner questions?

What is the difference between a classifier and a regressor?

What are some things you might use a classifier for? Bonus points for examples other than those in the BDE videos

Any questions about any algorithms?

Do folks feel like they understood logistic regression? Any questions?

Anyone willing to come up and do a couple examples?

Logistic Regression m = 0.5A - B + C ABCMP(M) 000

Logistic Regression m = 0.5A - B + C ABCMP(M) 001

Logistic Regression m = 0.5A - B + C ABCMP(M) 011

Logistic Regression m = 0.5A - B + C ABCMP(M) 411

Logistic Regression m = 0.5A - B + C ABCMP(M)

Why would someone Use a decision tree rather than, say, logistic regression?

Has anyone Used any classification algorithms outside the set discussed/recommended in the videos? Say more?

Other questions, comments, concerns about lectures?

Creative HW 1

Questions about Creative HW 1?

Questions? Concerns?

Other questions or comments?

Next Class Monday, September 22 Behavior Detection Baker, R.S. (2014) Big Data and Education. Ch.1, V6. Ch. 3, V1, V2. Baker, R.S.J.d., Corbett, A.T., Roll, I., Koedinger, K.R. (2008) Developing a Generalizable Detector of When Students Game the System. User Modeling and User-Adapted Interaction, 18, 3, Sao Pedro, M.A., Baker, R.S.J.d., Gobert, J., Montalvo, O. Nakama, A. (2013) Leveraging Machine-Learned Detectors of Systematic Inquiry Behavior to Estimate and Predict Transfer of Inquiry Skill. User Modeling and User-Adapted Interaction, 23 (1), Creative HW 1 due

Special Session Friday

The End