首页|Investigators from University of Tubingen Release New Data on Machine Learning ( How the Predictors of Math Achievement Change Over Time: a Longitudinal Machine Learning Approach)
Investigators from University of Tubingen Release New Data on Machine Learning ( How the Predictors of Math Achievement Change Over Time: a Longitudinal Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Tubingen, Germ any, by NewsRx editors, research stated, "Researchers have focused extensively o n understanding the factors influencing students' academic achievement over time . However, existing longitudinal studies have often examined only a limited numb er of predictors at one time, leaving gaps in our knowledge about how these pred ictors collectively contribute to achievement beyond prior performance and how t heir impact evolves during students' development." Funders for this research include Alexander von Humboldt Foundation, German Rese arch Foundation (DFG).
TubingenGermanyEuropeCyborgsEmer ging TechnologiesMachine LearningUniversity of Tubingen
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