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Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing
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Middleton, James A.; Flores, Alfinio; Knaupp, Jonathan – Educational Leadership, 1997
To avoid underuse, inaccessibility, and obsolescence when choosing, purchasing, and using technology, educators should maximize the number of students sharing machines, build technology into the curriculum, ensure continuous accessibility, network computers, and build physical plant considerations into their purchase plans. A single high-end…
Descriptors: Computer Software, Computers, Educational Planning, Guidelines
Van Nuys, Ute Elisabeth – A+, 1986
Presents reviews of the following mathematics software designed to teach young children counting, number recognition, visual discrimination, matching, addition, and subtraction skills; Stickybear Numbers, Learning with Leeper, Getting Ready to Read and Add, Counting Parade, Early Games for Young Children, Charlie Brown's 1,2,3's, Let's Go Fishing,…
Descriptors: Arithmetic, Childhood Interests, Computer Software, Costs