Slides from a short presentation given on the features of two plagiarism detection tools: Turnitin and SafeAssign at a recent Faculty Forum on Teaching and Technology (1/26/12)
for more about the Faculty Forum:
http://www.fordham.edu/campus_resources/fordham_it/help__support/faculty__staff/faculty_technology_s/faculty_forum_on_tea_78160.asp
Comparing Three Plagiarism Tools (Ferret, Sherlock, and Turnitin)Waqas Tariq
Abstract An attempt was made to carry out an experiment with three plagiarism detection tools (two free/open source tools, namely, Ferret and Sherlock, and one commercial web-based software called Turnitin) on Clough-Stevenson’s corpus including documents classified in three types of plagiarism and one type of non-plagiarism. The experiment was toward Extrinsic/External detecting plagiarism. The goal was to observe the performance of the tools on the corpus and then to analyze, compare, and discuss the outputs and, finally to see whether the tools’ identification of documents is the same as that identified by Clough and Stevenson. It appeared that Ferret and Sherlock, in most cases, produce the same results in plagiarism detection performance; however, Turnitin reported the results with great difference from the other two tools: It showed a higher percentage of similarities between the documents and the source. After investigating the reason (just checked with Ferret and Turnitin, cause Sherlock does not provide a view of the two documents with the overlapped and distinct parts), it was discovered that Turnitin performs quite acceptable and it is Ferret that does not show the expected percentage; it considers the longer text (for this corpus the longer is always the source) as the base and then looks how much of this text is overlapped by the shorter text and the result is shown as the percentage of similarity between the two documents, and this leads to wrong results. From this it can be also speculated that Sherlock does not manifest the results properly.
Lt. Col. (USAF) of the Rover team explains the key role of Rover in the "democratization of the battlefield. The Rover system has evolved from video downlink into an interactive system. It allows the ground and air forces to operate significantly differently in what Secretary Wynne called close combat support.
This thesis studies weakly supervised learning for information extraction methods in two settings: (1) unimodal weakly supervised learning, where annotated texts are augmented with a large corpus of unlabeled texts and (2) multimodal weakly supervised learning, where images or videos are augmented with texts that describe the content of these images or videos.
In the <b>unimodal</b> setting we find that traditional semi-supervised methods based on generative Bayesian models are not suitable for the textual domain because of the violation of the assumptions made by these models. We develop an unsupervised model, the latent words language model (LWLM), that learns accurate word similarities from a large corpus of unlabeled texts. We show that this model is a good model of natural language, offering better predictive quality of unseen texts than previously proposed state-of-the-art language models. In addition, the learned word similarities can be used successfully to automatically expand words in the annotated training with synonyms, where the correct synonyms are chosen depending on the context. We show that this approach improves classifiers for word sense disambiguation and semantic role labeling.
<br>
The second part of this thesis discusses weakly supervised learning in a <b>multimodal</b> setting. We develop information extraction methods to information from texts that describe an image or video, and use this extracted information as a weak annotation of the image/video. A first model for the prediction of entities in an image uses two novel measures: The salience measure captures the importance of an entity, depending on the position of that entity in the discourse and in the sentence. The visualness measure captures the probability that an entity can be perceived visually, extracted from the WordNet database. We show that combining these measures results in an accurate prediction of the entities present in the image. We then discuss how this model can be used to learn a mapping from names in the text to faces in the image, and to retrieve images of a certain entity.
We then turn to the automatic annotation of video. We develop a model that annotates a video with the visual verbs and their visual arguments, i.e. actions and arguments that can be observed in the video. The annotations of this system are successfully used to train a classifier that detects and classifies actions in the video. A second system annotates every scene in the video with the location of that scene. This system comprises a multimodal scene cut classifier that combines information from the text and the video, an IE algorithm that extracts possible locations from the text and a novel way to propagate location labels from one scene to another, depending the similarity of the scenes in the textual and visual domain.
Design science, systems thinking and ontologies summary-upward a-v1.0Antony Upward
For my York University / Schulich School of Business Graduate Degree in Environmental Studies / Graduate Diploma in Business and the Environment.
This presentation describes the sources of my epistemological and hence methodological approach, and then presents an overview of my research design.
I note SlideShare doesn't do a very good job of the PowerPoint animations which makes some of the slides more comprehendable - so suggest you download it. Also allows you to see the speakers notes on many of the slides.
My methodology will be fully written up in my final thesis document.
For more details about the background on Strongly Sustainable Business Models please see http://slab.ocad.ca/SSBMs_Defining_the_Field and http://www.EdwardJames.biz/Research.
If you would like to know something more about the content of my work - the Strongly Sustainable Business Model Ontology - please contact me
Copyright Law, Fair Use, Creative Commons, And The Public Domainaamarie
Presentation created for "Creating Technology-Rich Curricula" course. Explains Copyright Law, Fair Use, Fair Use in an educational context, Creative Commons Licensing, and the Public Domain.
C, C++ Training Institute in Chennai , AdyarsasikalaD3
The course fully covers the basics programming in the “C” programming language and demonstrates fundamental programming techniques, custom and vocabulary including the most common library functions and the usage of the processors.
Comparing Three Plagiarism Tools (Ferret, Sherlock, and Turnitin)Waqas Tariq
Abstract An attempt was made to carry out an experiment with three plagiarism detection tools (two free/open source tools, namely, Ferret and Sherlock, and one commercial web-based software called Turnitin) on Clough-Stevenson’s corpus including documents classified in three types of plagiarism and one type of non-plagiarism. The experiment was toward Extrinsic/External detecting plagiarism. The goal was to observe the performance of the tools on the corpus and then to analyze, compare, and discuss the outputs and, finally to see whether the tools’ identification of documents is the same as that identified by Clough and Stevenson. It appeared that Ferret and Sherlock, in most cases, produce the same results in plagiarism detection performance; however, Turnitin reported the results with great difference from the other two tools: It showed a higher percentage of similarities between the documents and the source. After investigating the reason (just checked with Ferret and Turnitin, cause Sherlock does not provide a view of the two documents with the overlapped and distinct parts), it was discovered that Turnitin performs quite acceptable and it is Ferret that does not show the expected percentage; it considers the longer text (for this corpus the longer is always the source) as the base and then looks how much of this text is overlapped by the shorter text and the result is shown as the percentage of similarity between the two documents, and this leads to wrong results. From this it can be also speculated that Sherlock does not manifest the results properly.
Lt. Col. (USAF) of the Rover team explains the key role of Rover in the "democratization of the battlefield. The Rover system has evolved from video downlink into an interactive system. It allows the ground and air forces to operate significantly differently in what Secretary Wynne called close combat support.
This thesis studies weakly supervised learning for information extraction methods in two settings: (1) unimodal weakly supervised learning, where annotated texts are augmented with a large corpus of unlabeled texts and (2) multimodal weakly supervised learning, where images or videos are augmented with texts that describe the content of these images or videos.
In the <b>unimodal</b> setting we find that traditional semi-supervised methods based on generative Bayesian models are not suitable for the textual domain because of the violation of the assumptions made by these models. We develop an unsupervised model, the latent words language model (LWLM), that learns accurate word similarities from a large corpus of unlabeled texts. We show that this model is a good model of natural language, offering better predictive quality of unseen texts than previously proposed state-of-the-art language models. In addition, the learned word similarities can be used successfully to automatically expand words in the annotated training with synonyms, where the correct synonyms are chosen depending on the context. We show that this approach improves classifiers for word sense disambiguation and semantic role labeling.
<br>
The second part of this thesis discusses weakly supervised learning in a <b>multimodal</b> setting. We develop information extraction methods to information from texts that describe an image or video, and use this extracted information as a weak annotation of the image/video. A first model for the prediction of entities in an image uses two novel measures: The salience measure captures the importance of an entity, depending on the position of that entity in the discourse and in the sentence. The visualness measure captures the probability that an entity can be perceived visually, extracted from the WordNet database. We show that combining these measures results in an accurate prediction of the entities present in the image. We then discuss how this model can be used to learn a mapping from names in the text to faces in the image, and to retrieve images of a certain entity.
We then turn to the automatic annotation of video. We develop a model that annotates a video with the visual verbs and their visual arguments, i.e. actions and arguments that can be observed in the video. The annotations of this system are successfully used to train a classifier that detects and classifies actions in the video. A second system annotates every scene in the video with the location of that scene. This system comprises a multimodal scene cut classifier that combines information from the text and the video, an IE algorithm that extracts possible locations from the text and a novel way to propagate location labels from one scene to another, depending the similarity of the scenes in the textual and visual domain.
Design science, systems thinking and ontologies summary-upward a-v1.0Antony Upward
For my York University / Schulich School of Business Graduate Degree in Environmental Studies / Graduate Diploma in Business and the Environment.
This presentation describes the sources of my epistemological and hence methodological approach, and then presents an overview of my research design.
I note SlideShare doesn't do a very good job of the PowerPoint animations which makes some of the slides more comprehendable - so suggest you download it. Also allows you to see the speakers notes on many of the slides.
My methodology will be fully written up in my final thesis document.
For more details about the background on Strongly Sustainable Business Models please see http://slab.ocad.ca/SSBMs_Defining_the_Field and http://www.EdwardJames.biz/Research.
If you would like to know something more about the content of my work - the Strongly Sustainable Business Model Ontology - please contact me
Copyright Law, Fair Use, Creative Commons, And The Public Domainaamarie
Presentation created for "Creating Technology-Rich Curricula" course. Explains Copyright Law, Fair Use, Fair Use in an educational context, Creative Commons Licensing, and the Public Domain.
C, C++ Training Institute in Chennai , AdyarsasikalaD3
The course fully covers the basics programming in the “C” programming language and demonstrates fundamental programming techniques, custom and vocabulary including the most common library functions and the usage of the processors.
Looking at historic, current and evolving approaches, I will take you through from how we used to 'live' edit on one server with HTML in the code; to implementing Template Toolkit and 'front end / back end' servers; to the addition of version control; all the way through to distributed caching, file systems and processing (aka Six Apart worship) with 15+ servers.
A beginner's guide to annotation processing.
In this talk that I gave at Droidcon Tel Aviv in 2016, I walk you through the process of building a custom annotation processor which mimics some of the behavior you may be familiar with from the popular Android library: Butter Knife.
Slides used during presentations given to Grad Ed during the weeks of September 4th and September 17th.
Resources and handout available: http://facultyedtechpd.it.fordham.edu/index.php/techshops/working-screen-to-screen/
Slides used during Fordham's Faculty Technology Orientation, August 28, 2018 at Rose Hill. For more information and resources, please visit: http://facultyedtechpd.it.fordham.edu/index.php/events/new-faculty-orientation/
Online Learning: Resources and PossibilitiesKristen T
Slides used during presentation to Gabelli School of Business Faculty at Fordham during Online Learning event on 4/25/18.
Additional resources:
www.fordham.edu/edtech
www.kristentreglia.com
Online Learning: Resources and PossibilitiesKristen T
Slides used during presentation to Gabelli School of Business Faculty at Fordham during Online Learning event on 4/25/18.
Additional resources:
www.fordham.edu/edtech
www.kristentreglia.com
Slides used during presentations and webinars (updated version of previously uploaded slides).
Learn how to find, use and format images for your research, classroom activities and presentations. We will cover simple edits as well as how to find and cite fair use images.
Resources and links from the presentation can be found here: https://treglia.wikispaces.com/Finding+and+Using+Images
Talk given at UN to NGO: Education, Learning, and LiteracyKristen T
slides used during presentation I was asked to give on "What is the Best Way to Educate People?" to the NGO Committee on Education, Learning, and Literacy at the UN.
June 22,2017
Slides used during presentation and facilitated discussion at the 12/7 meeting of the NYC Knowledge Cafe group.
for more info visit
https://kristentreglia.wordpress.com/km-silo/
How can faculty or students join the 70,000 contributors to Wikipedia, the world's largest knowledge base?
Learn how educators can use Wikipedia in the classroom!
For more information and resources:
https://en.wikipedia.org/wiki/Wikipedia:Meetup/NYC/Fordham_October_2016
http://facultyedtechpd.wikispaces.com/Wikipedia+for+Educators
Slides used during workshop given 10/20/16. More information and resources available (including links!): https://treglia.wikispaces.com/Digital+Identity
As part of the IT Wellness Program, I will be giving an interactive talk on "The Power of Play" at Rose Hill on Wednesday, October 19, 2016.
We often think of play as a childhood activity that we outgrow as adults. Learn about the many reasons why adults need play too. And how you can incorporate the power of play in your life!
For additional information and resources visit my wiki:
https://treglia.wikispaces.com/IT+Wellness-+Benefits+of+Play
Slides used during hands-on workshop at Developing Digital Literacies conference hosted by Fordham Digital Literacies Collaborative (July 13, 2016)
hashtag: #FordhamDLC
Resources and more information available at: https://treglia.wikispaces.com/twitter
Slides used during pre-conference breakout session for Faculty Technology Day 2016. For additional information, resources, and links please visit: http://facultyedtechpd.wikispaces.com/Faculty+Technology+Day#16
Slides used during workshop 1. The CARE (Consistent, Accessible, Responsive, Engaging) model for developing online courses at Fordham University. Also see: http://onlinelearningatfordham.wikispaces.com and http://onlinelearningatfordham.wikispaces.com/Course+Production+Tech+Skills#tools
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
3. Turn- it-in SafeAssign
Similarity Reports Yes Yes
Able to exclude specific sources from report Yes Yes – but must reprocess the report
Able to include or exclude quoted text Yes No
Archived Internet content Yes Yes
Able to include or exclude bibliography Yes No
Active Internet content Yes Yes
Yes – but only papers students voluntarily submit from
Student papers from all schools using tool Yes (150 million student papers)
their respective institutions
Gale InfoTrac OneFile ProQuest ABI/Inform
(10,000 titles covering more than 60 million articles) (1,100 publication titles and about 2.6 million articles from
Proprietary Database(s)
Emerald '90s to present time, updated weekly)
ABC-Clio Global Reference Database
Availability outside of Blackboard Yes – works through website which is accessible 24/7 No – Only available with Blackboard
.docx (Word 2007 or Word 2008 for Mac) .docx (Word 2007 or Word 2008 for Mac)
.doc (Word, earlier versions) .doc (Word, earlier versions)
.txt (Plain text) .txt (Plain text)
.pdf (Adobe Acrobat PDF) .pdf (Adobe Acrobat PDF)
Files Types Supported
.rtf (Rich Text Format .rtf (Rich Text Format
.wp (Word Perfect) .odt (Open Office Word)
.ps (Post Script) .zip
HTML HTML
4. Turn- it-in SafeAssign
Similarity Reports Yes Yes
Able to exclude specific sources from report Yes Yes – but must reprocess the report
Able to include or exclude quoted text Yes No
Archived Internet content Yes Yes
Able to include or exclude bibliography Yes No
Active Internet content Yes Yes
Yes (but only papers students voluntarily submit from
Student papers from all schools using tool Yes (150 million student papers)
their respective institutions)
Gale InfoTrac OneFile ProQuest ABI/Inform
(10,000 titles covering more than 60 million articles) (1,100 publication titles and about 2.6 million articles from
Proprietary Database(s)
Emerald '90s to present time, updated weekly)
ABC-Clio Global Reference Database * (opt in)
Availability outside of Blackboard Yes – works through website which is accessible 24/7 No – Only available with Blackboard
.docx (Word 2007 or Word 2008 for Mac) .docx (Word 2007 or Word 2008 for Mac)
.doc (Word, earlier versions) .doc (Word, earlier versions)
.txt (Plain text) .txt (Plain text)
.pdf (Adobe Acrobat PDF) .pdf (Adobe Acrobat PDF)
Files Types Supported
.rtf (Rich Text Format .rtf (Rich Text Format
.wp (Word Perfect) .odt (Open Office Word)
.ps (Post Script) .zip
HTML HTML
7. *Draft Setting
*Detection NOT Prevention tools
This web comic is 100% original. Any resemblance to existing web comics, alive or dead, is purely coincidental.
33. Turnitin
Tutorials
GradeMark Demo (video)
Contact the FTC on your campus or email: ftc@fordham.edu
SafeAssign
Instructor FAQs
How SafeAssign Works
Blackboard Training: contact the FTC on your campus or email: blackboard@fordham.edu
Plagiarism Prevention Tools
Information and resources on the FTC website