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  2. Educational data mining - Wikipedia

    en.wikipedia.org/wiki/Educational_data_mining

    Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).

  3. Learning analytics - Wikipedia

    en.wikipedia.org/wiki/Learning_analytics

    Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.

  4. Learning engineering - Wikipedia

    en.wikipedia.org/wiki/Learning_engineering

    Educational Data Mining involves analyzing data from student use of educational software to understand how software can improve learning for all students. Researchers in the field, such as Ryan Baker at the University of Pennsylvania, have developed models of student learning, engagement, and affect to relate them to learning outcomes. [19]

  5. Data-driven instruction - Wikipedia

    en.wikipedia.org/wiki/Data-driven_instruction

    Data-driven instruction is an educational approach that relies on information to inform teaching and learning. The idea refers to a method teachers use to improve instruction by looking at the information they have about their students.

  6. Category:Applied data mining - Wikipedia

    en.wikipedia.org/wiki/Category:Applied_data_mining

    Download as PDF; Printable version ... Cross-industry standard process for data mining; Customer analytics ... Data thinking; Document processing; E. Educational data ...

  7. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data. In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large ...

  8. very few teams have won it all

    images.huffingtonpost.com/2010-03-15-cheatsheet...

    #8 Gonzaga ★ (26-6) 15-12 ATS 8-2 L10 66% FT 36% 3PT Top Scorers: Bouldin 15.8, Harris 14.7, Gray 13.7, Sacre 10.0 #9 Florida State (22-9) 8-18 ATS 6-4 L10 65% FT 34% 3PT

  9. Baker Rodrigo Ocumpaugh Monitoring Protocol - Wikipedia

    en.wikipedia.org/wiki/Baker_Rodrigo_Ocumpaugh...

    BROMP observers view different students in turn, and take notes using an Android app that records data. [7] This app synchronizes with an internet time server. BROMP observations are carried out by field observers trained and certified through a multi-day training process; according to a 2020 book chapter, there are around 150 BROMP-certified ...