Latent Feature Extraction for Process Data via Multidimensional Scaling
Author:
Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Psychology
Link
https://link.springer.com/content/pdf/10.1007/s11336-020-09708-3.pdf
Reference22 articles.
1. Borg, I., & Groenen, P. J. (2005). Modern multidimensional scaling: Theory and applications. New York, NY: Springer. https://doi.org/10.1007/0-387-28981-X.
2. Gómez-Alonso, C., & Valls, A. (2008). A similarity measure for sequences of categorical data based on the ordering of common elements. In V. Torra & Y. Narukawa (Eds.), Modeling decisions for artificial intelligence (pp. 134–145). Berlin: Springer. https://doi.org/10.1007/978-3-540-88269-5_13.
3. Greiff, S., Niepel, C., Scherer, R., & Martin, R. (2016). Understanding students’ performance in a computer-based assessment of complex problem solving: An analysis of behavioral data from computer-generated log files. Computers in Human Behavior, 61, 36–46. https://doi.org/10.1016/j.chb.2016.02.095.
4. He, Q., & von Davier, M. (2015). Identifying feature sequences from process data in problem-solving items with n-grams. In L. A. van der Ark, D. M. Bolt, W.-C. Wang, J. A. Douglas, & S.-M. Chow (Eds.), Quantitative psychology research (pp. 173–190). Cham: Springer. https://doi.org/10.1007/978-3-319-19977-1_13.
5. He, Q., & von Davier, M. (2016). Analyzing process data from problem-solving items with n-grams: Insights from a computer-based large-scale assessment. In Y. Rosen, S. Ferrara, & M. Mosharraf (Eds.), Handbook of research on technology tools for real-world skill development (pp. 749–776). Hershey, PA: Information Science Reference. https://doi.org/10.4018/978-1-4666-9441-5.ch029.
Cited by 47 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Sequential Reservoir Computing for Log File‐Based Behavior Process Data Analyses;Journal of Educational Measurement;2024-09-13
2. Investigating response behavior through TF-IDF and Word2vec text analysis: A case study of PISA 2012 problem-solving process data;Heliyon;2024-08
3. New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data;Psychometrika;2024-07-05
4. Water quality level estimation using IoT sensors and probabilistic machine learning model;Hydrology Research;2024-07-01
5. Sensemaking of Process Data from Evaluation Studies of Educational Games: An Application of Cross‐Classified Item Response Theory Modeling;Journal of Educational Measurement;2024-06-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3