PPT-Core Methods in Educational Data Mining

EDUC545 Spring 2017 Data Used to Be Dispersed Hard to Collect SmallScale Collecting sizable amounts of data required heroic efforts Like we heard about from Alex Bowers last week Tycho Brahe. Ryan . S.J.d. . Baker. PSLC Summer School 2010. Welcome to the EDM track!. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . Ryan . S.J.d. . Baker. PSLC Summer School 2012. Welcome to the EDM track!. On behalf of the track lead, John Stamper, and all of our colleagues. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . Data Mining. HUDK4050. Fall 2014. Assignment . B5. Connections. I got a lot of questions on the homework, when 12345 posts 12 times in response to 24601. Is this 12 connections?. Connections. I got a lot of questions on the homework, when 12345 posts 12 times in response to 24601. Data Mining. HUDK4050. Fall 2015. Quick question. I’m now going to be in NY the first week of December. I was thinking of un-cancelling class on 12/1,. in exchange for 12/8. What do people prefer? Let’s take . . Science Centres Educators. Long Jinjing. Introduction. PART 1: . A brief review to the evolution of the. educator's function as well as the . educational philosophy in science. Data Mining. EDUC545. Spring 2017. Last Lecture. Slides 34-36. Textbook part 1. Pelanek. example. W002V004v5. Who would like me to . review this?. Feature Engineering . Not just throwing spaghetti at the wall and seeing what sticks. Data Mining. EDUC545-010. Spring2017. Discussion forums read-only for auditors. Who here is impacted?. For-credit students: are you OK with switching to Piazza?. RTFF. Introducing Prof. Alex Bowers. Top researcher in the world in using big data for educational leadership. Data Mining. HUDK4050. Fall 2014. What is the . Goal . of Knowledge . Inference?. What is the . Goal . of Knowledge . Inference?. Measuring . what a student knows at . a specific time. Measuring what . Data Mining. EDUC545. Spring 2017. Last Lecture. Slides 34-36. Textbook part 1. Pelanek. example. W002V004v5. Who would like me to . review this?. Feature Engineering . Not just throwing spaghetti at the wall and seeing what sticks. Data Mining. HUDK4050. Fall 2014. Wow. Welcome!. There’s a lot of you. It’s great to see so much continuing interest in EDM at TC. Administrative Stuff. Is everyone signed up for class?. If not, and you want to receive credit, please talk to me after class. Core Methods in Educational Data Mining EDUC691 Spring 2019 Welcome! Administrative Stuff Is everyone signed up for class? If not, and you want to receive credit, please talk to me after class Class Schedule Core Methods in Educational Data Mining EDUC 691 Spring 2019 Assignment BA4 Questions? Comments? Concerns? Association Rule Mining Today’s Class The Land of Inconsistent Terminology Association Rule Mining Core Methods in Educational Data Mining EDUC691 Spring 2019 Quick review Why is student-level cross-validation important? How can one do it in RapidMiner? How can one do it in Python? What is the Goal of Knowledge Inference? Course webpage:. http://www.cs.bu.edu/~. evimaria/cs565-11.html. Schedule: Mon – Wed, . 2:30-4:00. Instructor: . Evimaria. . Terzi. , . evimaria@cs.bu.edu. Office hours: . Tues. . 11. :00am-12:30pm.