Towards Data-Driven Programming Problem Generation for Mastery Learning

被引：1

作者：

Lytle, Nicholas ^{[1
]}

机构：

[1] NC State Univ, Raleigh, NC 27695 USA

来源：

ICER '19 - PROCEEDINGS OF THE 2019 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH | 2019年

关键词：

Mastery Learning; Problem Generation; Instructional Support;

D O I：

10.1145/3291279.3339447

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Research into intelligent programming systems has lead to numerous means of providing help to students during programming tasks but not in generating the right problem for students to work through. My work will be in developing and analyzing a programming problem generator for mastery learning that will leverage student data and incorporate methods for instructional design for programming tasks to give students the best problem to practice and achieve proficiency.

引用

页码：339 / 340

页数：2

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