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Providing grades and feedback for student summaries by ontology-based information extraction

Fernando Gutierrez, Dejing Dou, Stephen Fickas, Gina Griffiths
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
In the present work, we propose a novel method to provide both grades and meaningful feedback for student summaries by Ontology-based Information Extraction (OBIE).  ...  Automatic grading systems for summaries and essays have been studied for years.  ...  Following the ideas presented by SAGrader, it seems promising that Ontology-based Information Extraction (OBIE) can be used for automatic summary and essay grading because OBIE provides a domain representation  ... 
doi:10.1145/2396761.2398505 dblp:conf/cikm/GutierrezDFG12 fatcat:4sfvgrco3rhvta73zsfpo444b4

Hybrid Ontology-Based Information Extraction for Automated Text Grading

Fernando Gutierrez, Dejing Dou, Adam Martini, Stephen Fickas, Hui Zong
2013 2013 12th International Conference on Machine Learning and Applications  
In the present work, we propose the use of a hybrid Ontology-based Information Extraction (OBIE) system to identify both correct and incorrect statements by combining extraction rules and machine learning  ...  can provide limited feedback about which statements of the text are incorrect and why they are incorrect.  ...  This research is partially supported by the National Science Foundation grant IIS-1118050 and grant IIS-1013054.  ... 
doi:10.1109/icmla.2013.73 dblp:conf/icmla/GutierrezDMFZ13 fatcat:vxbrdjnh6fesvests6wtl4p26y

Design and Implementation of Curriculum Knowledge Ontology-Driven SPOC Flipped Classroom Teaching Model

Yanchun Zhu, Wei Zhang, Yi He, Jianbo Wen, Mingyi Li
2018 Educational Sciences: Theory & Practice  
Coupled with new teaching models like SPOC and flipped classroom, the author developed a new SPOC-based flipped classroom teaching model driven by curriculum ontology.  ...  The research findings provide reference for hybrid teaching in the future, and shed new light on the reform for individualized and diversified university curriculum teaching.  ...  Based on the ontology theory in knowledge engineering, the concept abstract ion and relation extraction methods were proposed for curriculum ontology, and the semantic block -based similarity algorithm  ... 
doi:10.12738/estp.2018.5.034 fatcat:ylmvrotofzhqxdwc2gva4p6gr4

Ontology-based smart learning environment for teaching word problems in mathematics

Aparna Lalingkar, Chandrashekar Ramnathan, Srinivasan Ramani
2014 Journal of Computers in Education  
Introduction and background A student who has been taught mathematical problem solving can be strong in analyzing a large amount of quantitative data, can use mathematics in practical ways, and can be  ...  This paper demonstrates how to use MONTO-machine-readable ontology for teaching word problems in mathematics. MONTO is a combination of various ontologies.  ...  For the proof of concept, an ontology for the domain of 3D mensuration was created based on an analysis of grade IX and grade X word problems.  ... 
doi:10.1007/s40692-014-0020-z fatcat:472srcuwjrg6rnubu24fqtwtdi

Ontology-based Smart Learning Environment for Teaching Word Problems in Mathematics [chapter]

Aparna Lalingkar, Chandrashekar Ramnathan, Srinivasan Ramani
2014 Lecture Notes in Educational Technology  
Introduction and background A student who has been taught mathematical problem solving can be strong in analyzing a large amount of quantitative data, can use mathematics in practical ways, and can be  ...  This paper demonstrates how to use MONTO-machine-readable ontology for teaching word problems in mathematics. MONTO is a combination of various ontologies.  ...  For the proof of concept, an ontology for the domain of 3D mensuration was created based on an analysis of grade IX and grade X word problems.  ... 
doi:10.1007/978-3-662-44188-6_35 fatcat:gweofmxxp5bijnle7js56ytkxe

A Cognitive Diagnosis Method in Adaptive Learning System Based on Preconceptions

Jue Wang, Kaihua Liang, Hai Dong
2022 Scientific Programming  
, such as through visualization of the cognition states of students; secondly, for an attribution analysis of preconceptions to provide a basis for adaptive learning organizations; and finally, for predicting  ...  Based on the preconception system, a method and application process for diagnosing user cognition is introduced.  ...  In summary, by constructing a preconception system to conduct preconception attribution and prediction, individuals can be diagnosed. e following information can be visualized: basic information, student  ... 
doi:10.1155/2022/5011804 fatcat:ea6t6srrmjapxhqextnir3fczm

Identifying Localization in Peer Reviews of Argument Diagrams [chapter]

Huy V. Nguyen, Diane J. Litman
2013 Lecture Notes in Computer Science  
Peer-review systems such as SWoRD lack intelligence for detecting and responding to problems with students' reviewing performance.  ...  One desirable feedback feature is problem localization, which has been shown to positively correlate with feedback implementation in both student papers and argument diagrams.  ...  Lipschultz for providing feedback regarding this paper, and the reviewers for their many constructive comments.  ... 
doi:10.1007/978-3-642-39112-5_10 fatcat:w6pwtx4cejaghdwkyg7tg5mxg4

Semantic visual analytics for today's programming courses

I-Han Hsiao, Sesha Kumar Pandhalkudi Govindarajan, Yi-Ling Lin
2016 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16  
Subjective evaluation revealed that the dynamic concept indexing provided teachers with immediate feedback on producing more balanced exams.  ...  We designed and studied an innovative semantic visual learning analytics for orchestrating today's programming classes.  ...  We found that the proposed approach shed some lights in extracting semantic information from paper-based exams.  ... 
doi:10.1145/2883851.2883915 dblp:conf/lak/HsiaoGL16 fatcat:mr3dff5vizcgrmaqak4cnz4seq

Towards Next Generation Rubrics: An Automated Assignment Feedback System

Nilupulee Nathawitharana, Qing Huang, Kok-Leong Ong, Peter Vitartas, Madhura Jayaratne, Damminda Alahakoon, Sarah Midford, Aleks Michalewicz, Gillian Sullivan Mort, Tanvir Ahmed
2017 Australasian Journal of Information Systems  
Such systems can be used in a formative way; for example, by providing students with feedback on digitally submitted assignments.  ...  The tool was designed to provide students with timely feedback on their initial assignment drafts, for revision and further improvement.  ...  Acknowledgments The authors gratefully acknowledge support from a Digital Learning Strategy Innovation Grant provided through La Trobe Learning and Teaching at La Trobe University, Melbourne.  ... 
doi:10.3127/ajis.v21i0.1553 fatcat:zfrhgo5qvbfsrf47yk5urpicg4

Workflow-Based Assessment of Student Online Activities with Topic and Dialogue Role Classification [chapter]

Jun Ma, Jeon-Hyung Kang, Erin Shaw, Jihie Kim
2011 Lecture Notes in Computer Science  
The first workflow correlates student performance, as measured by project grades, with different dialogue roles, information seeker and information provider, that students take on in project-based discussion  ...  The Pedagogical Assessment Workflow System (PAWS) is a new workflow-based pedagogical assessment framework that enables the efficient and robust integration of diverse datasets for the purposes of student  ...  Michael Crowley for his support. This work is supported by a U.S. National Science Foundation CISE IIS award (#0917328).  ... 
doi:10.1007/978-3-642-21869-9_26 fatcat:6tbyqxda75f6zkrkesqsq3jowu

A multi-criteria context-sensitive approach for social image collection summarization

Zahra Riahi Samani, Mohsen Ebrahimi Moghaddam
2018 Sadhana (Bangalore)  
We use social network infrastructure to identify attractiveness features and domain ontology for extracting ontology features.  ...  The final summarization is provided by integrating the attractiveness and semantic features of input images.  ...  The students were asked to assign representative grade to images related to each city based on table 2. We compute the mean of subjective representative grade for different methods.  ... 
doi:10.1007/s12046-018-0908-9 fatcat:lgn7g6hokfed3f7zhmb6moqoxy

A Survey on Educational Ontologies and Their Development Cycle [chapter]

AbdelGhani Karkar, Jihad Mohamad Al Ja'am, Sebti Foufou
2016 IFIP Advances in Information and Communication Technology  
The subject ontology is composed from learner-based ontologies and teacher-based ontologies. Learner-based ontologies provide knowledge of learning materials created by students.  ...  The syllabus does not provide semantic concepts and essential relations among different information (e.g., title, summary, grading criteria, etc.).  ... 
doi:10.1007/978-3-319-33111-9_59 fatcat:yrx5hknicvdpppd24jhaavq4zm

Automatic feedback in online learning environments: A systematic literature review

Anderson Pinheiro Cavalcanti, Arthur Diego, Ruan Carvalho, Fred Freitas, Yi-Shan Tsai, Dragan Gašević, Rafael Ferreira Mello
2021 Computers and Education: Artificial Intelligence  
Feedback provides insights into the assistance of learners in terms of achieving learning goals and improving self-regulated skills.  ...  In online courses, feedback becomes even more critical since instructors and students are separated geographically and physically.  ...  A 11: Summary of all papers retrieved in this reviewOntology This paper contributes to research carried out on personalized feedback frameworks by proposing a generic novel system which is called the Ontology-based  ... 
doi:10.1016/j.caeai.2021.100027 fatcat:nqe3kotecvchxlqw6vp2i4gfr4

Advances in the Field of Automated Essay Evaluation

Kaja Zupanc, Zoran Bosnic
2015 Informatica (Ljubljana, Tiskana izd.)  
During the last 50 years, many challenges have arisen in the field, including seeking ways to evaluate the semantic content, providing automated feedback, determining validity and reliability of grades  ...  In this paper we provide comparison of 21 state-of-the-art approaches for automated essay evaluation and highlight their weaknesses and open challenges in the field.  ...  [20, 21] provides both, scores and meaningful feedback, using ontology-based information extraction (OBIE). The system uses logic reasoning to detect errors in a statement from an essay.  ... 
dblp:journals/informaticaSI/ZupancB15 fatcat:ypfutz7fi5g5bkvb5gc7hysk5y

Automated Essay Scoring using Ontology Generator and Natural Language Processing with Question Generator based on Blooms Taxonomy's Cognitive Level

2019 International Journal of Engineering and Advanced Technology  
This study aims to increase the accuracy, reliability and validity of the AES by implementing the Gradient ridge regression with the domain ontology and other features.  ...  The purpose of this study is to develop an automated essay scoring that uses ontology and Natural Language Processing.  ...  Furthermore, AES is a student learning tool that based on the students score and provides immediate feedback which is more critical in evaluating the students' performance and how the essay can be graded  ... 
doi:10.35940/ijeat.a9974.109119 fatcat:25gtyrkdfjceneks3rlvrw4h6u
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