Collaborative Research: Open Player and Community Modeling as a Learning Tool
协作研究:开放玩家和社区建模作为学习工具
基本信息
- 批准号:2111396
- 负责人:
- 金额:$ 48.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-10-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
An active research area in intelligent tutoring systems and game-based learning is personalized learning. In these environments, the computer analyzes learner behaviors in real time and builds individual models of critical aspects of learning (e.g., level of engagement, knowledge acquisition) to adapt the system. While these player models capture essential elements of a learner, the valuable information they contain is usually opaque and hidden from the learners. As a result, players of adaptive learning games do not know how the game categorizes them and why the game changes. This then affects their learning, especially when learning complex concepts. To address this, the project will investigate a novel approach to personalized learning environments by providing learners with a toolset, called Open Player and Community Model, which allows learners to see their actions, tactics, and strategies as well as those of others. A playback system with a labeling toolset will also be created to allow teachers and other learners to annotate patterns they see others use, which will shed light on strategies and mental models of solutions, errors, corrections, and misconceptions. The project will explore how students learn problem-solving with tools that allow them to reflect on their practices and on how others solved similar problems. The research will study two questions: First, how do people engage with user/player models when they are made transparent and used to reflect on learning? Second, how can designers create meaningful visualizations for learners and instructors to support reflection on user/player models and crowdsourced annotations of problem solving behavior? Tools to support collecting and visualizing open player and community models will be developed and made available to the public. Studies of the tools will be conducted to determine how they support learning in complex domains.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
智能辅导系统和基于游戏的学习的一个活跃研究领域是个性化学习。在这些环境中,计算机实时分析学习者的行为,并构建学习关键方面的个体模型(例如,参与程度、知识获取)以适应系统。虽然这些玩家模型捕捉了学习者的基本要素,但它们包含的有价值的信息通常对学习者来说是不透明的和隐藏的。结果,自适应学习游戏的玩家不知道游戏如何对他们进行分类以及游戏为何发生变化。这会影响他们的学习,尤其是在学习复杂概念时。为了解决这个问题,该项目将研究一种新的个性化学习环境方法,为学习者提供一个名为“开放玩家和社区模型”的工具集,让学习者能够看到自己以及其他人的行动、战术和策略。还将创建一个带有标签工具集的回放系统,以允许教师和其他学习者注释他们看到其他人使用的模式,这将揭示解决方案、错误、纠正和误解的策略和心理模型。 该项目将探索学生如何使用工具学习解决问题,使他们能够反思自己的实践以及其他人如何解决类似问题。该研究将研究两个问题:首先,当用户/玩家模型变得透明并用于反思学习时,人们如何参与其中?其次,设计师如何为学习者和教师创建有意义的可视化,以支持对用户/玩家模型和问题解决行为的众包注释的反思?将开发支持收集和可视化开放玩家和社区模型的工具并向公众提供。将对这些工具进行研究,以确定它们如何支持复杂领域的学习。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
What HappenedHere!?" Towards a Taxonomy for User Interaction with Spatio-Temporal Game Data Visualization.
这里发生了什么!?”关于时空游戏数据可视化用户交互的分类法。
- DOI:
- 发表时间:2021-10
- 期刊:
- 影响因子:0
- 作者:Erica Kleinman; Nikitha Preetham
- 通讯作者:Nikitha Preetham
“Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends.
“因为我玩游戏很糟糕!”《英雄联盟》中自我调节学习的微观分析研究。
- DOI:10.3389/fpsyg.2021.780234
- 发表时间:2021
- 期刊:
- 影响因子:3.8
- 作者:Kleinman E;Gayle C;Seif El-Nasr M
- 通讯作者:Seif El-Nasr M
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{{ truncateString('Magy Seif ElNasr', 18)}}的其他基金
Open Process Models Optimizing Self Regulated Learning in the Classroom
开放过程模型优化课堂自我调节学习
- 批准号:
2302778 - 财政年份:2023
- 资助金额:
$ 48.59万 - 项目类别:
Standard Grant
Collaborative Research: StudyCrafter: An AI-Supported Platform for Engaging Learners to Conduct Research with Human Subjects
协作研究:StudyCrafter:人工智能支持的平台,用于吸引学习者对人类受试者进行研究
- 批准号:
2142497 - 财政年份:2022
- 资助金额:
$ 48.59万 - 项目类别:
Standard Grant
Using Game Design Mechanics as Metaphors to Enhance Learning of Introductory Programming Concepts
使用游戏设计机制作为隐喻来加强对入门编程概念的学习
- 批准号:
2055436 - 财政年份:2020
- 资助金额:
$ 48.59万 - 项目类别:
Standard Grant
Collaborative Research: Open Player and Community Modeling as a Learning Tool
协作研究:开放玩家和社区建模作为学习工具
- 批准号:
1917982 - 财政年份:2019
- 资助金额:
$ 48.59万 - 项目类别:
Standard Grant
Using Game Design Mechanics as Metaphors to Enhance Learning of Introductory Programming Concepts
使用游戏设计机制作为隐喻来加强对入门编程概念的学习
- 批准号:
1810972 - 财政年份:2018
- 资助金额:
$ 48.59万 - 项目类别:
Standard Grant
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