课题基金 / 基金详情

EXP: Learning Parallel Programming Concepts Through an Adaptive Game

EXP: Learning Parallel Programming Concepts Through an Adaptive Game
EXP:通过自适应游戏学习并行编程概念
批准号:
1523116
负责人:
Santiago Ontanon
金额:
$54.98万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2019-08-31

项目摘要

项目成果

Santiago Ontanon的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This particular project will develop educational games that adapt to the skill level of the user and will conduct research on using them to teach concepts from computer programming. Modern computing is increasingly handled in a parallel fashion and despite the growing body of work on how to teach parallel programming, little is understood about the learning of this subject. This project will shed light on the challenge of learning parallel programming and gather initial data on ways to scaffold it in college-level courses. We propose to develop a genre of adaptive learning games in which we will gather data on how experts and novices address parallel programming problems and study ways to scaffold learning. Our research will advance understandings of how people learn concepts associated with parallel programming, as well as investigating which activities enhance the learning process in this domain. We will generate content tailored to specific students through a method entitled procedural content generation. This work will transform the transition from sequential programming to parallel programming in undergraduate computer science curricula and advance personalized learning. We will disseminate our prototype and results via the CSinParallel network, an NSF-funded national organization that works to introduce concurrent, parallel, and distributed computing concepts into a greater percentage of computer science curricula. The research will further our understanding of how students learn parallel programming concepts and contribute to training a competitive workforce that is better prepared for today's parallel computing world.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
EAGER: Similarity Measures Based on Refinement Operators and Metric Embedding Applied to the Analysis of Immune Repertoires
  • 批准号:
    1551338
  • 项目类别:
    Standard Grant
  • 资助金额:
    $13.98万
  • 财政年份:
    2015
  • 负责人:
    Santiago Ontanon
  • 依托单位:
SCH: INT: Collaborative Research: Diagnostic Driving: Real Time Driver Condition Detection Through Analysis of Driving Behavior
  • 批准号:
    1521943
  • 项目类别:
    Standard Grant
  • 资助金额:
    $46.79万
  • 财政年份:
    2015
  • 负责人:
    Santiago Ontanon
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: