Tue Jan 12 13:57:17 2021 steve greene deb friss anthony periell --- less interesting to look at gross disproportionality by race -------------------------------------------------------- post-secondry retention and mobility NSC data (nat'l student clearinghouse) explore; what can we learn from this data what drives enrollment/retention/mobility etc -------------------------------------------------------- anthony is contact enrollment projections [this is more straightforward] enrollment/other data how accurate is their model? (time series/prediciton) get a better model tune to subgroups (ELL/IEP/etc)? -------------------------------------------------------- ** student mobility more vague again enrollment attendance discipline how best to think about mobility within and beyond PPS student actievement center (SAC) disciplinary school the actionable question: 1. which schools/locations/student groups experinence more mobility - eg schools at periphery of city limits 2. how detrimental is that to some outcomes (attendance, achievement, ...)? -------------------------------------------------------- ** promise use promise scholarship use datas NSC data demographics academic outcomes what effect does a promise scholarship have? they ahve use and eligibility data. ------------------------------------------------------- ** college and trade school enrollment indicators Chanelle is contact (Chanelle Labash) data sources (they've thgohut a lot about this) lots of internal data + NSC data (as the outcome measure) ------------------------------------------------------- do soemthing with NSC data ------------------------------------------------------- Projects settled on: 1. college and trade school enrollment indicators 2. combine "promise use" with "post-secondry retention and mobility" since both make heavy use of NSC data. ------------------------------------------------------- ------------------------------------------------------- Thu Feb 4 14:34:56 2021 Notes on EPA etc. pps needs to merge with NSC and deidentify student work product - raw data is an issue - confidential info in the report would have the 2-yr fuse - presentations to pps will give opportunity to review level of aggregation. - locate data on a dept computer - review an attachment for appending with EPA ------------------------------------------------------- ------------------------------------------------------- Fri Feb 5 08:19:28 2021 p. 2 "Course Sponsor hereby grants to Students and to Carnegie Mellon a non-exclusive right to access, use, modify, copy, and create derivative works of any information, data, and/or materials (including copyrighted works) provided by the Course Sponsor solely for use in connection with the Course Project." --- p. 2 "Course Sponsor further agrees that any information, data, and/or materials (including copyrighted works) provided shall not contain any personally or individually identifiable information or export-controlled information" --- pp 12 & 15 item 4: "You may use the Confidential Information only in connection with the Course Project. You agree to take reasonable steps to prevent others from having access to the Confidential Information. Provided you are taking those steps to protect the information, you will not be liable for the inadvertent or accidental disclosure of the Confidential Information." --- pp 12 & 15 item 6: "At the end of the Course Project, you must destroy your copies of the Confidential Information unless the Course Sponsor instead requests that you give them back to the Course Sponsor. You must also erase any electronic copies of the Confidential Information you may have. --- " You understand and agree that just because the Course Sponsor is allowing you to use its Confidential Information in conjunction with the Course Project, it does not mean that you are granted any ongoing intellectual property rights or licenses in the Confidential Information."