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International Journal of Artificial Intelligence in Education最新文献

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AI Adaptivity in a Mixed-Reality System Improves Learning 混合现实系统中的人工智能自适应能力提高了学习效果
IF 4.9 Q1 Social Sciences Pub Date : 2024-01-10 DOI: 10.1007/s40593-023-00388-5
Nesra Yannier, Scott E. Hudson, Henry Chang, K. Koedinger
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引用次数: 0
Debiasing Education Algorithms 去伪存真的教育算法
IF 4.9 Q1 Social Sciences Pub Date : 2024-01-04 DOI: 10.1007/s40593-023-00389-4
Jamiu Adekunle Idowu
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引用次数: 0
Facial Expression Recognition for Examining Emotional Regulation in Synchronous Online Collaborative Learning 面部表情识别用于检查同步在线协作学习中的情绪调节能力
IF 4.9 Q1 Social Sciences Pub Date : 2024-01-02 DOI: 10.1007/s40593-023-00378-7
Duong Ngo, Andy Nguyen, Belle Dang, Ha Ngo
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引用次数: 0
Automatic Classification of Online Discussions and Other Learning Traces to Detect Cognitive Presence. 在线讨论和其他学习痕迹的自动分类以检测认知存在
IF 4.9 Q1 Social Sciences Pub Date : 2024-01-01 Epub Date: 2023-05-01 DOI: 10.1007/s40593-023-00335-4
Verena Dornauer, Michael Netzer, Éva Kaczkó, Lisa-Maria Norz, Elske Ammenwerth

Cognitive presence is a core construct of the Community of Inquiry (CoI) framework. It is considered crucial for deep and meaningful online-based learning. CoI-based real-time dashboards visualizing students' cognitive presence may help instructors to monitor and support students' learning progress. Such real-time classifiers are often based on the linguistic analysis of the content of posts made by students. It is unclear whether these classifiers could be improved by considering other learning traces, such as files attached to students' posts. We aimed to develop a German-language cognitive presence classifier that includes linguistic analysis using the Linguistic Inquiry and Word Count (LIWC) tool and other learning traces based on 1,521 manually coded meaningful units from an online-based university course. As learning traces, we included not only the linguistic features from the LIWC tool, but also features such as attaching files to a post, tagging, or using terms from the course glossary. We used the k-nearest neighbor method, a random forest model, and a multilayer perceptron as classifiers. The results showed an accuracy of up to 82% and a Cohen's κ of 0.76 for the cognitive presence classifier for German posts. Including learning traces did not improve the predictive ability. In conclusion, we developed an automatic classifier for German-language courses based on a linguistic analysis of students' posts. This classifier is a step toward a teacher dashboard. Our work also provides the first fully CoI-coded German dataset for future research on cognitive presence.

认知存在是探究社区(CoI)框架的核心结构。它被认为是深度和有意义的在线学习的关键。基于 CoI 的可视化学生认知存在的实时仪表盘可以帮助教师监控和支持学生的学习进度。这类实时分类器通常基于对学生所发帖子内容的语言分析。目前还不清楚这些分类器是否可以通过考虑其他学习痕迹(如学生帖子的附件文件)来加以改进。我们的目标是开发一种德语认知存在分类器,其中包括使用语言探究和字数统计(LIWC)工具进行的语言分析,以及基于一门在线大学课程中 1,521 个人工编码的有意义单元的其他学习痕迹。作为学习痕迹,我们不仅包括来自语言调查和字数统计工具的语言特征,还包括诸如在帖子中附加文件、标记或使用课程词汇表中的术语等特征。我们使用 k 近邻法、随机森林模型和多层感知器作为分类器。结果显示,德语帖子认知存在分类器的准确率高达 82%,科恩κ值为 0.76。加入学习痕迹并没有提高预测能力。总之,我们基于对学生帖子的语言分析,为德语课程开发了一个自动分类器。该分类器向教师仪表板迈出了一步。我们的工作还为未来的认知存在研究提供了第一个完全由 CoI 编码的德语数据集。
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引用次数: 0
Multilingual Age of Exposure 2.0 多语种 曝光时代 2.0
IF 4.9 Q1 Social Sciences Pub Date : 2023-12-20 DOI: 10.1007/s40593-023-00386-7
Robert-Mihai Botarleanu, Micah Watanabe, Mihai Dascalu, S. Crossley, Danielle S. McNamara
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引用次数: 0
Examining the Effect of Assessment Construct Characteristics on Machine Learning Scoring of Scientific Argumentation 研究评估结构特征对科学论证机器学习评分的影响
IF 4.9 Q1 Social Sciences Pub Date : 2023-12-18 DOI: 10.1007/s40593-023-00385-8
Kevin C. Haudek, X. Zhai
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引用次数: 0
Modeling Synchronization for Detecting Collaborative Learning Process Using a Pedagogical Conversational Agent: Investigation Using Recurrent Indicators of Gaze, Language, and Facial Expression 使用教学对话代理检测协作学习过程的同步建模:利用目光、语言和面部表情的循环指标进行研究
IF 4.9 Q1 Social Sciences Pub Date : 2023-12-07 DOI: 10.1007/s40593-023-00381-y
Yugo Hayashi
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引用次数: 0
Short-Answer Grading for German: Addressing the Challenges 德语简答题评分:应对挑战
IF 4.9 Q1 Social Sciences Pub Date : 2023-12-07 DOI: 10.1007/s40593-023-00383-w
Ulrike Padó, Yunus Eryilmaz, Larissa Kirschner
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引用次数: 0
Detecting and Mitigating Encoded Bias in Deep Learning-Based Stealth Assessment Models for Reflection-Enriched Game-Based Learning Environments 检测和减轻基于深度学习的隐形评估模型中的编码偏差,用于丰富反思的游戏式学习环境
IF 4.9 Q1 Social Sciences Pub Date : 2023-12-01 DOI: 10.1007/s40593-023-00379-6
Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, James C. Lester
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引用次数: 0
Uncovering Blind Spots in Education Ethics: Insights from a Systematic Literature Review on Artificial Intelligence in Education 发现教育伦理的盲点:人工智能教育系统文献综述的启示
IF 4.9 Q1 Social Sciences Pub Date : 2023-12-01 DOI: 10.1007/s40593-023-00384-9
Ana Mouta, A. M. Pinto-Llorente, E. Torrecilla-Sánchez
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引用次数: 0
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International Journal of Artificial Intelligence in Education
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