Given the interest in guest post on College Rankings done by AI, we point out paper with deeper description of algorithms, and we answer some questions.
What if, instead of relying on US & World Report subjective methods, we tried to rely on more object data analysis for college rankings? Here is one exploration of possibilities, using neural networks and the College Scorecard.
The new IPEDS data for Fall 2016 are out, and first look shows continued growth in distance education in US colleges and universities.
Last week I shared a static view of the US institutions with the 30 highest enrollments of students taking at least one online (distance ed, or DE) course. But we can do better than that, thanks to some help from Justin Menard at LISTedTECH and his Tableau guidance. The following interactive chart allows you to […]
The National Center for Educational Statistics (NCES) and its Integrated Postsecondary Education Data System (IPEDS) provide the most official data on colleges and universities in the United States. This is the third year of data. Let’s look at the top 30 online programs for Fall 2014 (in terms of total number of students taking at least […]