… data mining domain, student performance prediction was … of student performance prediction
was still underexplored from … Journal of Shandong University(Engineering Science), 2022, …

… MOOC have significantly altered the way that people learn, yet one of the most difficult
challenges is correctly interpreting user behavior and then predicting dropout. In this research, to …

… is poor; 2) Prediction accuracy of online learning achievements using short text sentiment …
achievement prediction method. Firstly, short text semantics are modeled from the word and …

… made drop-out layers (40, 41) that keep away the network from … coronary artery disease using
data mining based on lab data … for predicting hypertension and its associated factors using …

… model based on cost-sensitive learning is introduced to predict high dropout risk students …
different time steps, and dynamically monitor dropout behavior at different learning stages. …

… Enhancement of student learning performance using personalized diagnosis and remedial
learning system [J]. Computers & Education, 2011 (56): 289-299. [6] 闻娟. 中学生个性化学习…

… predict the delay of arrival flightsꎬ a flight delay prediction … Underthepremiseofmaintaining
high overall performance of the … of flight delay designated flight plan based on data mining[ J]…

… [A] Their lives swirl in technology, but the nation's high school students spend little time …
education, and some schools do not even offer a course on the subject, including 10 of 27 high …

… Every chemical change either results from energy being used to produce the change, or
causes energy to be … In the past forty years, weather forecasting has become almost A. centrally …

… of the Left had to begin by learning from the lessons of Thatcherism. A decade before Tony
Blair became British Prime Minister, Hall was able to predict and warn the danger “that the …