{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:39Z","timestamp":1750220019216,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Educational Testing Services ETS","award":["AWD014096"],"award-info":[{"award-number":["AWD014096"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,29]]},"DOI":"10.1145\/3529190.3529192","type":"proceedings-article","created":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T17:06:00Z","timestamp":1657559160000},"page":"213-222","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Learning Progression-based Automated Scoring of Visual Models"],"prefix":"10.1145","author":[{"given":"Ari","family":"Sagherian","sequence":"first","affiliation":[{"name":"Univeristy of Michigan, United States"}]},{"given":"Suhasini","family":"Lingaiah","sequence":"additional","affiliation":[{"name":"University of Michigan, United States"}]},{"given":"Mohamed","family":"Abouelenien","sequence":"additional","affiliation":[{"name":"University of Michigan, United States"}]},{"given":"Chee Wee","family":"Leong","sequence":"additional","affiliation":[{"name":"Educational Testing Service (ETS), United States"}]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[{"name":"Educational Testing Service (ETS), United States"}]},{"given":"Mengxuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Educational Testing Service (ETS), United States"}]},{"given":"Blake","family":"Lafuente","sequence":"additional","affiliation":[{"name":"Univeristy of Michigan, United States"}]},{"given":"Shu-Kang","family":"Chen","sequence":"additional","affiliation":[{"name":"Educational Testing Service (ETS), United States"}]},{"given":"Yi","family":"Qi","sequence":"additional","affiliation":[{"name":"Educational Testing Service (ETS), United States"}]}],"member":"320","published-online":{"date-parts":[[2022,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of International Conference on Computing Vision and Pattern Recognition (CVPR)","author":"Arbelaez P.","year":"2009","unstructured":"P. Arbelaez , M. Maire , C. Fowlkes , and J. Malik . 2009. From contours to regions: an empirical evaluation . Proceedings of International Conference on Computing Vision and Pattern Recognition (CVPR) ( 2009 ), 2294\u20132301. P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. 2009. From contours to regions: an empirical evaluation. Proceedings of International Conference on Computing Vision and Pattern Recognition (CVPR) (2009), 2294\u20132301."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2002.804448"},{"key":"e_1_3_2_1_4_1","volume-title":"Speeded-up robust features (SURF). Computer vision and image understanding 110, 3","author":"Bay H.","year":"2008","unstructured":"H. Bay , T. Tuytelaars , and L. Van\u00a0Gool . 2008. Speeded-up robust features (SURF). Computer vision and image understanding 110, 3 ( 2008 ), 346\u2013359. H. Bay, T. Tuytelaars, and L. Van\u00a0Gool. 2008. Speeded-up robust features (SURF). Computer vision and image understanding 110, 3 (2008), 346\u2013359."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"D. Bremner E. Demaine J. Erickson J. Iacono S. Langerman P. Morin and G. Toussaint. 2005. Output sensitive algorithms for computing nearest neighbor decision boundaries. Discrete and Computational Geometry(2005) 593\u2013604.  D. Bremner E. Demaine J. Erickson J. Iacono S. Langerman P. Morin and G. Toussaint. 2005. Output sensitive algorithms for computing nearest neighbor decision boundaries. Discrete and Computational Geometry(2005) 593\u2013604.","DOI":"10.1007\/s00454-004-1152-0"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"T. Corcoran F. Mosher and A. Rogat. 2009. Learning progressions in science:An evidence-based approach to reform.  T. Corcoran F. Mosher and A. Rogat. 2009. Learning progressions in science:An evidence-based approach to reform.","DOI":"10.12698\/cpre.2009.rr63"},{"key":"e_1_3_2_1_9_1","unstructured":"National\u00a0Research Council 2013. Next generation science standards For states by states.  National\u00a0Research Council 2013. Next generation science standards For states by states."},{"volume-title":"Developing assessments for the next generation science standards","author":"National\u00a0Research Council 2014.","key":"e_1_3_2_1_10_1","unstructured":"National\u00a0Research Council 2014. Developing assessments for the next generation science standards . National Academies Press . National\u00a0Research Council 2014. Developing assessments for the next generation science standards.National Academies Press."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"T. Cover and P. Hart. 1967. Nearest-neighbor pattern classification. Information Theory IEEE Transactions(1967) 21\u201327.  T. Cover and P. Hart. 1967. Nearest-neighbor pattern classification. Information Theory IEEE Transactions(1967) 21\u201327.","DOI":"10.1109\/TIT.1967.1053964"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.3582337"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3138\/FM57-6770-U75U-7727"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.951532"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"J. Flusser and T. Suk. 1993. Pattern recognition by affine moment invariants. Pattern Recognition (1993) 167\u2013174.  J. Flusser and T. Suk. 1993. Pattern recognition by affine moment invariants. Pattern Recognition (1993) 167\u2013174.","DOI":"10.1016\/0031-3203(93)90098-H"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"J. Flusser B. Zitova and T. Suk. 2009. Moments and Moment Invariants in Pattern Recognition. Wiley Publishing.  J. Flusser B. Zitova and T. Suk. 2009. Moments and Moment Invariants in Pattern Recognition. Wiley Publishing.","DOI":"10.1002\/9780470684757"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1756-8765.2011.01149.x"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1962.1057692"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 2015 Newfoundland Electrical and Computer Engineering Conference St. John\u2019s, Canada (November","author":"Karami E.","year":"2015","unstructured":"E. Karami , S. Prasad , and M. Shehata . 2015. Image Matching Using SIFT, SURF, BRIEF, and ORB: Performance Comparison for Distorted Images . Proceedings of the 2015 Newfoundland Electrical and Computer Engineering Conference St. John\u2019s, Canada (November 2015 ). E. Karami, S. Prasad, and M. Shehata. 2015. Image Matching Using SIFT, SURF, BRIEF, and ORB: Performance Comparison for Distorted Images. Proceedings of the 2015 Newfoundland Electrical and Computer Engineering Conference St. John\u2019s, Canada (November 2015)."},{"key":"e_1_3_2_1_20_1","volume-title":"Proc. of 6th WSEAS Int. Conf. on Computer Engineering and Applications, and Proc. of the 2012 American Conf. on Applied Mathematics 6","author":"Kim J.","year":"2012","unstructured":"J. Kim , B.\u00a0 S. Kim , and S. Savarese . 2012. Comparing image classification methods: K-nearest-neighbor and support-vector-machines . Proc. of 6th WSEAS Int. Conf. on Computer Engineering and Applications, and Proc. of the 2012 American Conf. on Applied Mathematics 6 ( 2012 ), 133\u2013138. J. Kim, B.\u00a0S. Kim, and S. Savarese. 2012. Comparing image classification methods: K-nearest-neighbor and support-vector-machines. Proc. of 6th WSEAS Int. Conf. on Computer Engineering and Applications, and Proc. of the 2012 American Conf. on Applied Mathematics 6 (2012), 133\u2013138."},{"volume-title":"Proceedings of the Fifth Annual ACM Conference on Learning at Scale.","author":"Leong W.","key":"e_1_3_2_1_21_1","unstructured":"C.\u00a0 W. Leong , L. Liu , L. Chen , and R. Ubale . 2018. Toward Large-Scale Automated Scoring of Scientific Visual Models . In Proceedings of the Fifth Annual ACM Conference on Learning at Scale. C.\u00a0W. Leong, L. Liu, L. Chen, and R. Ubale. 2018. Toward Large-Scale Automated Scoring of Scientific Visual Models. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale."},{"key":"e_1_3_2_1_22_1","first-page":"935","article-title":"On the color image segmentation algorithm based on the thresholding and the fuzzy C-means technique.Pattern Anal","volume":"23","author":"Lim W.","year":"1990","unstructured":"Y.\u00a0 W. Lim and S.\u00a0 U. Lee . 1990 . On the color image segmentation algorithm based on the thresholding and the fuzzy C-means technique.Pattern Anal . Mach. Intell. 23 , 9 (1990), 935 \u2013 952 . Y.\u00a0W. Lim and S.\u00a0U. Lee. 1990. On the color image segmentation algorithm based on the thresholding and the fuzzy C-means technique.Pattern Anal. Mach. Intell. 23, 9 (1990), 935\u2013952.","journal-title":"Mach. Intell."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008097225773"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"L. Liu R. Rogat and M. Bertling. 2013. A CBAL Science Model of Cognition: Developing a Competency Model and Learning Progressions to Support Assessment Development. ETS R-R Report.  L. Liu R. Rogat and M. Bertling. 2013. A CBAL Science Model of Cognition: Developing a Competency Model and Learning Progressions to Support Assessment Development. ETS R-R Report.","DOI":"10.1002\/j.2333-8504.2013.tb02336.x"},{"key":"e_1_3_2_1_25_1","first-page":"1150","article-title":"Object recognition from local scale-invariant features.IEEE Int Conf","volume":"2","author":"Lowe G.","year":"1999","unstructured":"D.\u00a0 G. Lowe . 1999 . Object recognition from local scale-invariant features.IEEE Int Conf . Computer Vision 2 (1999), 1150 \u2013 1157 . D.\u00a0G. Lowe. 1999. Object recognition from local scale-invariant features.IEEE Int Conf. Computer Vision 2 (1999), 1150\u20131157.","journal-title":"Computer Vision"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00033"},{"volume-title":"Proceedings of International Conference on Computer Vision and Pattern Recognition (CVPR). 1\u20138.","author":"Maire M.","key":"e_1_3_2_1_27_1","unstructured":"M. Maire , P. Arbelaez , C. Fowlkes , and J. Malik . 2008. Using contours to detect and localize junctions in natural images . In Proceedings of International Conference on Computer Vision and Pattern Recognition (CVPR). 1\u20138. M. Maire, P. Arbelaez, C. Fowlkes, and J. Malik. 2008. Using contours to detect and localize junctions in natural images. In Proceedings of International Conference on Computer Vision and Pattern Recognition (CVPR). 1\u20138."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1273918"},{"volume-title":"Tracking students","author":"Merritt D.","key":"e_1_3_2_1_29_1","unstructured":"J.\u00a0 D. Merritt . 2010. Tracking students \u2019 understanding of the particle nature of matter. Ph.D. Dissertation. University of Michigan . J.\u00a0D. Merritt. 2010. Tracking students\u2019 understanding of the particle nature of matter. Ph.D. Dissertation. University of Michigan."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(93)90135-J"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"G. Papari and N. Petkov. 2011. Edge and line oriented contour detection: state of the art. Image and Vision Computing.  G. Papari and N. Petkov. 2011. Edge and line oriented contour detection: state of the art. Image and Vision Computing.","DOI":"10.1016\/j.imavis.2010.08.009"},{"key":"e_1_3_2_1_33_1","unstructured":"F. Pedregosa G. Varoquaux A. Gramfort V. Michel B. Thirion O. Grisel M. Blondel P. Prettenhofer R. Weiss V. Dubourg and J. Vanderplas. 2011. Scikit-learn Machine learning in Python. Journal of machine learning research(2011) 2825\u20132830.  F. Pedregosa G. Varoquaux A. Gramfort V. Michel B. Thirion O. Grisel M. Blondel P. Prettenhofer R. Weiss V. Dubourg and J. Vanderplas. 2011. Scikit-learn Machine learning in Python. Journal of machine learning research(2011) 2825\u20132830."},{"volume-title":"Object enhancement and extraction Picture Processing and Psychopictorics","author":"Prewitt S.","key":"e_1_3_2_1_34_1","unstructured":"J.\u00a0M.\u00a0 S. Prewitt . 1970. Object enhancement and extraction Picture Processing and Psychopictorics . B. Lipkin and A. Rosenfeld A. Rosenfeld Academic Press , New York . J.\u00a0M.\u00a0S. Prewitt. 1970. Object enhancement and extraction Picture Processing and Psychopictorics. B. Lipkin and A. Rosenfeld A. Rosenfeld Academic Press, New York."},{"volume-title":"Optical and Electro-optical Information Processing, J.\u00a0T","author":"Roberts G.","key":"e_1_3_2_1_35_1","unstructured":"L.\u00a0 G. Roberts . 1965. Machine perception of three-dimensional solids . In Optical and Electro-optical Information Processing, J.\u00a0T . Tippet (Ed.). MIT Press , 159\u2013197. L.\u00a0G. Roberts. 1965. Machine perception of three-dimensional solids. In Optical and Electro-optical Information Processing, J.\u00a0T. Tippet (Ed.). MIT Press, 159\u2013197."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"e_1_3_2_1_37_1","unstructured":"Stephanie\u00a0AC Ryan and Mike Stieff. 2013. Using multiple modalities simultaneously as an assessment tool for learning from visualizations. In ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY Vol.\u00a0245. AMER CHEMICAL SOC 1155 16TH ST NW WASHINGTON DC 20036 USA.  Stephanie\u00a0AC Ryan and Mike Stieff. 2013. Using multiple modalities simultaneously as an assessment tool for learning from visualizations. In ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY Vol.\u00a0245. AMER CHEMICAL SOC 1155 16TH ST NW WASHINGTON DC 20036 USA."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.3390\/s16030353"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"M.\u00a0E. Sobel. 1982. Asymptotic confidence intervals for indirect effects in structural equations models. In S.Leinhart Sociological methodology. 290\u2013312.  M.\u00a0E. Sobel. 1982. Asymptotic confidence intervals for indirect effects in structural equations models. In S.Leinhart Sociological methodology. 290\u2013312.","DOI":"10.2307\/270723"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/0734-189X(85)90016-7"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.3913"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"L.\u00a0A. Torres-Mendez J.\u00a0C. Ruiz-Suarez L.\u00a0E. Sucar and G. Gomez. 2000. Translation Rotation and Scale-Invariant Object Recognition.IEEE trans.on systems man and Cybernetics 30 1 (2000).  L.\u00a0A. Torres-Mendez J.\u00a0C. Ruiz-Suarez L.\u00a0E. Sucar and G. Gomez. 2000. Translation Rotation and Scale-Invariant Object Recognition.IEEE trans.on systems man and Cybernetics 30 1 (2000).","DOI":"10.1109\/5326.827484"}],"event":{"name":"PETRA '22: The15th International Conference on PErvasive Technologies Related to Assistive Environments","acronym":"PETRA '22","location":"Corfu Greece"},"container-title":["Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529190.3529192","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3529190.3529192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:25Z","timestamp":1750182685000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529190.3529192"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":41,"alternative-id":["10.1145\/3529190.3529192","10.1145\/3529190"],"URL":"https:\/\/doi.org\/10.1145\/3529190.3529192","relation":{},"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"2022-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}