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Intrinsic plagiarism analysis

Benno Stein, Nedim Lipka, Peter Prettenhofer
2010 Language Resources and Evaluation  
(iii) We operationalize and evaluate an analysis chain that combines document chunking, style model computation, one-class classification, and meta learning.  ...  (ii) We show how the meta learning approach of Koppel and Schler, termed "unmasking", can be employed to post-process unreliable stylometric analysis results.  ...  Meta Learning.  ... 
doi:10.1007/s10579-010-9115-y fatcat:jpnrem6y5bgetgll6blksktr5y

Editorial

Noor Lide Abu Kassim
2018 IIUM Journal of Educational Studies  
The meta-analysis brought forth several important findings.  ...  Internal factors are those associated with the students learning capability and motivation, while external factors are those associated with the teaching and learning process, teacher training, the classroom  ... 
doi:10.31436/ijes.v5i2.207 fatcat:3jdwb3gdtjbsxbjq4r6rgc4hhu

Rich Style Embedding for Intrinsic Plagiarism Detection

Oumaima Hourrane, El Habib
2019 International Journal of Advanced Computer Science and Applications  
Stylometry plays an important role in the intrinsic plagiarism detection, where the goal is to identify potential plagiarism by analyzing a document involving undeclared changes in writing style.  ...  Our model is evaluated on two sub-task; style change detection and style breach detection, and compared with two baseline detectors based on classic stylometric features.  ...  They as well employed the meta-learning approach of Koppel and Schler [25] to post-process unreliable stylometric analysis results.  ... 
doi:10.14569/ijacsa.2019.0101185 fatcat:zy7hndkx6ngvbfdx5mc65aah3a

Academic Plagiarism Detection

Tomáš Foltýnek, Norman Meuschke, Bela Gipp
2019 ACM Computing Surveys  
Concluding from our analysis, we see the integration of heterogeneous analysis methods for textual and non-textual content features using machine learning as the most promising area for future research  ...  These improvements mainly originate from better semantic text analysis methods, the investigation of non-textual content features, and the application of machine learning.  ...  Machine-learning approaches are very successful in intrinsic plagiarism detection.  ... 
doi:10.1145/3345317 fatcat:yk6f5xl2kvdxlhvsolem6zfdsu

Plagiarism Detection Without Reference Collections [chapter]

Sven Meyer zu Eissen, Benno Stein, Marion Kulig
2007 Studies in Classification, Data Analysis, and Knowledge Organization  
This paper contributes right here; it proposes a method to identify potentially plagiarized passages by analyzing a single document with respect to changes in writing style.  ...  This raises the question whether plagiarized passages within a document can be detected automatically if no reference is given, e. g. if the plagiarized passages stem from a book that is not available  ...  The vector of these relative differences along with the class information (plagiarized or not) formed the input for different machine learning approaches.  ... 
doi:10.1007/978-3-540-70981-7_40 fatcat:plhtvuuelne3pkcks4uk6h5yy4

Parents' Weekly Descriptions of Autonomy Supportive Communication: Promoting Children's Motivation to Learn and Positive Emotions

John Mark Froiland
2013 Journal of Child and Family Studies  
Parental autonomy support and student learning goals: A preliminary examination of an intrinsic motivation intervention. Child and Youth Care Forum, 40, 135-149.  ...  A meta-analysis of the efficacy of different types of parental involvement programs for urban students. Urban Education, 47(4), 706-742.  ...  In contrast, if you chose option 1 you would likely emphasize statistics having to do with detecting improvement in outcomes over time.  ... 
doi:10.1007/s10826-013-9819-x fatcat:m4bu5ybt6zdvdoy2si2kbya7f4

Integrated Multimodal Copy-Paste Checking

Narayanan Kulathuramaiyer, Bilal Zaka
2009 Journal of Software  
E-learning systems would then need to incorporate extended functionalities to enable multimodal copy-paste checking.  ...  This paper extends the work and shows our pioneering explorations in extending student modeling capability of e-learning systems.  ...  Intrinsic characteristic of text are often ignored by computer applications while checking for plagiarism in documents.  ... 
doi:10.4304/jsw.4.6.521-528 fatcat:ufffzdqd7vcfdohptxvcrbkesu

Student Perceptions of Plagiarism Avoidance Competencies: An Action Research Case Study

Helen MacLennan
2018 The Journal of Scholarship of Teaching and Learning  
, the appropriateness of plagiarism penalties, and the value of corrective feedback on penalty-free writing assignments.  ...  It also offers a practical example of how discipline-based faculty can incorporate plagiarism education into their curriculum.  ...  Theoretical Framework This research is guided by the CRASP model (see Table 1 ), a meta-theoretical model of teaching and learning, located in the non-positivist paradigm (Zuber-Skerritt, 1992) .  ... 
doi:10.14434/josotl.v18i1.22350 fatcat:gvj2tqon3rdbvh25d365dopcom

Meta Analysis within Authorship Verification

Benno Stein, Nedim Lipka, Sven Meyer zu Eissen
2008 2008 19th International Conference on Database and Expert Systems Applications  
Our meta analysis combines a confidence-based majority decision with the unmasking approach of Koppel and Schler.  ...  Human readers are well-versed in detecting such spurious sections since they combine a highlydeveloped sense for wording with context-dependent meta knowledge in their analysis.  ...  Note that the authorship verification problem AVFIND and intrinsic plagiarism analysis represent two sides of the same coin: the goal of intrinsic plagiarism analysis is to identify potentially plagiarized  ... 
doi:10.1109/dexa.2008.20 dblp:conf/dexaw/SteinLE08 fatcat:qbonblggkbhsnlukt64oimsiue

Biomedical text mining for research rigor and integrity: tasks, challenges, directions

Halil Kilicoglu
2017 Briefings in Bioinformatics  
In particular, we identify four key areas in which text mining techniques can make a significant contribution: plagiarism/fraud detection, ensuring adherence to reporting guidelines, managing information  ...  With the exponential increase in biomedical research output and the ability of text mining approaches to perform automatic tasks at large scale, we propose that such approaches can support tools that promote  ...  Generally, two plagiarism detection tasks are distinguished: extrinsic and intrinsic plagiarism detection.  ... 
doi:10.1093/bib/bbx057 pmid:28633401 fatcat:va4d3u6zzjbpnfptseb23tnv7y

Biomedical Text Mining for Research Rigor and Integrity: Tasks, Challenges, Directions [article]

Halil Kilicoglu
2017 bioRxiv   pre-print
In particular, we identify four key areas in which text mining techniques can make a significant contribution: plagiarism/fraud detection, ensuring adherence to reporting guidelines, managing information  ...  With the exponential increase in biomedical research output and the ability of text mining approaches to perform automatic tasks at large scale, we propose that such approaches can add checks and balances  ...  Generally, two plagiarism detection tasks are distinguished: extrinsic and intrinsic plagiarism detection.  ... 
doi:10.1101/108480 fatcat:7thsz7zjozfqbmqmkokqrn4bki

Toward psychological literacy: A snapshot of evidence-based learning and teaching

Jacquelyn Cranney
2013 Australian journal of psychology  
learning: the testing effect, spaced learning, meta-cognition, writing to learn, and inter-teaching.  ...  The strategy involves scenarios of a relationship psychologist assisting with family relationship problems-that is, an authentic learning situation.  ... 
doi:10.1111/ajpy.12013 fatcat:v2k3mdrzjbgs5poavufsyzqw5e

Justifying academic dishonesty: A survey of Canadian university students

Henry CHOW
2021 International Journal of Academic Research in Education  
, expressed dissatisfaction with academic performance, indicated dissatisfaction with school life, placed less emphasis on intrinsic motivation to pursue higher education, and adopted a surface approach  ...  to learning were found to be associated with a greater likelihood of accepting the various justifications for academic dishonesty.  ...  This estimation was relied on findings from a meta-analysis revealing that about 3.5% of students engage in contract cheating annually.  ... 
doi:10.17985/ijare.951714 fatcat:3kitqpzmwna2xcqhihslpv6xcq

Back translation: an emerging sophisticated cyber strategy to subvert advances in 'digital age' plagiarism detection and prevention

Michael Jones, Lynnaire Sheridan
2014 Assessment & Evaluation in Higher Education  
Many authors from the late 1990s onwards grappled with plagiarism in the digital age, presenting articles that were provoking and established the foundation for strategies to address cyber plagiarism,  ...  plagiarism that has accompanied the uptake and development of the internet.  ...  using intrinsic analysis software.  ... 
doi:10.1080/02602938.2014.950553 fatcat:bm4c76yx7fd4xicr6cq6q6euie

Complete Issue Volume 13 Issue 5

Editor Journal of the Scholarship of Teaching and Learning
2013 The Journal of Scholarship of Teaching and Learning  
Thus, we created a unique instructional learning community consisting of faculty, staff, and students charged with developing, implementing, and assessing the interdisciplinary course on water.  ...  This faculty learning community (FLC) and student learning community (SLC) combined to help us develop and teach the course.  ...  with incidents of plagiarism, but to improve student learning as well.  ... 
doaj:cb22f6f81f9546c89d331575410985ee fatcat:pbetwebnwvf7dllkthz6xdsiam
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