Academic literature on the topic 'Plagiarism check'

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Journal articles on the topic "Plagiarism check"

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Rawa, Natalia Rosalina, Dek Ngurah Laba Laksana, and Aan Nurfahrudianto. "SHARING SESSION: PENCEGAHAN TINDAKAN PLAGIARISME DALAM PENULISAN KARYA ILMIAH MAHASISWA STKIP CITRA BAKTI." SELAPARANG Jurnal Pengabdian Masyarakat Berkemajuan 4, no. 3 (2021): 607. http://dx.doi.org/10.31764/jpmb.v4i3.5129.

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ABSTRAKKegiatan pengabdian kepada masyarakat ini dilatarbelakangi oleh permasalahan mahasiswa STKIP Citra Bakti, antara lain: (1) penguasaan teori-teori yang digunakan dalam menulis karya ilmiah sangat minim; (2) kemampuan mengakses informasi karya ilmiah dari berbagai sumber masih minim. (3) kaidah ilmiah yang digunakan dalam menulis masih rendah; (4) masih banyak ditemukan copy paste. Oleh karena itu, perlu adanya upaya pencegahan tindakan plagiarisme dalam menulis karya ilmiah di kalangan mahasiswa STKIP Citra Bakti melalui kegiatan sharing se­ssion dengan tema “Perilaku Plagiarisme dan Str
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Rawa, Natalia Rosalina, Dek Ngurah Laba Laksana, and Aan Nurfahrudianto. "SHARING SESSION: PENCEGAHAN TINDAKAN PLAGIARISME DALAM PENULISAN KARYA ILMIAH MAHASISWA STKIP CITRA BAKTI SHARING SESSION: PENCEGAHAN TINDAKAN PLAGIARISME DALAM PENULISAN KARYA ILMIAH MAHASISWA STKIP CITRA BAKTI SHARING SESSION: PENCEGAHAN TINDAKAN PLAGIARISME DALAM PENULISAN KARYA ILMIAH MAHASISWA STKIP CITRA BAKTI." SELAPARANG Jurnal Pengabdian Masyarakat Berkemajuan 4, no. 3 (2021): 607. http://dx.doi.org/10.31764/jpmb.v4i3.4811.

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ABSTRAKKegiatan pengabdian kepada masyarakat ini dilatarbelakangi oleh permasalahan mahasiswa STKIP Citra Bakti, antara lain: (1) penguasaan teori-teori yang digunakan dalam menulis karya ilmiah sangat minim; (2) kemampuan mengakses informasi karya ilmiah dari berbagai sumber masih minim. (3) kaidah ilmiah yang digunakan dalam menulis masih rendah; (4) masih banyak ditemukan copy paste. Oleh karena itu, perlu adanya upaya pencegahan tindakan plagiarisme dalam menulis karya ilmiah di kalangan mahasiswa STKIP Citra Bakti melalui kegiatan sharing se­ssion dengan tema “Perilaku Plagiarisme dan Str
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Wibowo, Adik. "Mencegah dan Menanggulangi Plagiarisme di Dunia Pendidikan." Kesmas: National Public Health Journal 6, no. 5 (2012): 195. http://dx.doi.org/10.21109/kesmas.v6i5.84.

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Plagiarisme merupakan perbuatan salah yang serius sebab mengambil karya orang lain dan mengakuinya sebagai karya sendiri. Tindakan plagiarisme menurunkan moral dan harkat pelaku serta berdampak pada disintegritas sivitas akademik karena tindakan mengutip tanpa izin harus dicegah dan apabila sudah terjadi harus diatasi. Perilaku menjiplak karya orang lain tanpa mencantumkan sumber dan nama pengarang asli berakibat buruk kepada pengembangan ilmu sebab dengan mengutip tidak akan muncul pemikiran baru. Pada tahun 2010, Direktorat Jenderal Pendidikan Tinggi telah mengeluarkan peraturan tentang cara
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Eichmann, Klaus. "Routine check for plagiarism." Cellular and Molecular Life Sciences 72, no. 21 (2015): 4013. http://dx.doi.org/10.1007/s00018-015-2051-7.

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Wajdi, Majid, I. Made Sumartana, and Ni Putu Dyah Hudiananingsih. "Avoiding Plagiarism in Writing a Research Paper." Soshum : Jurnal Sosial dan Humaniora 8, no. 1 (2018): 94. http://dx.doi.org/10.31940/soshum.v8i1.769.

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This paper discusses how to avoid plagiarism in a research paper. Avoiding plagiarism is part of a scientific writing ethic that always stated in any publication. Every writer should pay attention to their papers submitted to a journal or a scientific forum that they are free from unethical conduct. Writing a research paper needs overall accuracy especially in avoiding plagiarism in the paper that is to be published in a journal or to be presented at a certain scientific meeting, seminar or symposium. It is based on writers’ experience as a paper writer as well as a journal reviewer. The first
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Mondal, Himel, and Shaikat Mondal. "Whose responsibility is to check plagiarism?" Journal of the Scientific Society 45, no. 3 (2018): 151. http://dx.doi.org/10.4103/jss.jss_42_18.

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Kamat, Prashant V. "Plagiarism Check in the Era of AI." ACS Energy Letters 9, no. 5 (2024): 2116–17. http://dx.doi.org/10.1021/acsenergylett.4c00975.

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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Amine Rahmani. "BHA2." International Journal of Swarm Intelligence Research 8, no. 1 (2017): 30–53. http://dx.doi.org/10.4018/ijsir.2017010102.

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In the last decade, the plagiarism cases were increased and become a topical problem in the modern scientific world, caused by the quantity of textual information available online/offline. The authors' work deals on the development of a new plagiarism detector system called BHA2 which has as input the suspicious text (to be analysed) and the original texts (learning basis). It can detect the different forms of plagiarism based on: Google API to detect the cases of plagiarism with translation; text summarization to detect the plagiarism of idea; conceptual transformation to detect the plagiaris
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Safin, Kamil Fanisovich, and Yury Victorovich Chehovich. "Combined method for plagiarism detection in text documents." Proceedings of the Institute for System Programming of the RAS 34, no. 1 (2022): 151–60. http://dx.doi.org/10.15514/ispras-2022-34(1)-11.

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There are two global approaches to the problem of searching plagiarism in the text: external and intrinsic search. The first approach implies search through an external collection of documents that could have been used for text reuse. The second approach, on the contrary, does not use any external data, but analyzes the text by itself. It is proposed to combine these two approaches to speed up the search for text plagiarism. With a large flow of documents that need to be checked, the outer corpus search system processes each document and finds plagiarised blocks in each document, if there are
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Namburu, Anupama, Akhil Surendran, S. Vijay Balaji, Senthilkumar Mohan, and Celestine Iwendi. "DocCompare: An Approach to Prevent the Problem of Character Injection in Document Similarity Algorithm." Mathematics 10, no. 22 (2022): 4256. http://dx.doi.org/10.3390/math10224256.

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There is a constant rise in the amount of data being copied or plagiarized because of the abundance of content and information freely available across the internet. Even though the systems try to check documents for the plagiarism, there have been trials to overcome these system checks. In this paper, the concept of character injection is used to trick plagiarism checker is presented. It is also showcased that how does the similarity check algorithms based on k-grams fail to detect the character injection. In order to eradicate the problem or error in similarity rates caused due to the problem
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Books on the topic "Plagiarism check"

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Menager, Rosemarie. Understanding Plagiarism Plus American Heritage Dictionary Spell Check. 4th ed. Houghton Mifflin Company, 2006.

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Book chapters on the topic "Plagiarism check"

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Nundy, Samiran, Atul Kakar, and Zulfiqar A. Bhutta. "How to Check for Plagiarism?" In How to Practice Academic Medicine and Publish from Developing Countries? Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5248-6_24.

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AbstractThe word ‘Plagiarism’ has been derived from the Latin word ‘Plagiare’ which means ‘to kidnap or abduct’. In scientific literature, it means the ‘wrongful appropriation’ and ‘stealing and publication’ of another author’s ‘language, thoughts, ideas, or expressions’ and depicting it as one’s own creative work. Plagiarism amounts to academic untruthfulness and a breach of journalistic integrity [1].
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Bahuguna, Richa, Nidhi Nainwal, Surojit Banerjee, Vikas Anand Saharan, and Anupama Singh. "Software and Tools for Plagiarism and English Grammar Check." In Principles of Research Methodology and Ethics in Pharmaceutical Sciences. CRC Press, 2024. http://dx.doi.org/10.1201/9781003088226-12.

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Gray, Brenna Clarke. "Ethics, EdTech, and the Rise of Contract Cheating." In Academic Integrity in Canada. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83255-1_9.

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AbstractThis chapter argues that establishing a “culture of academic integrity,” in the era of digitally-situated plagiarism like contract cheating, begins with an institutional approach to student data and student work that is rooted in ethics. If “students cheat when they feel cheated” (Christensen Hughes, 2017, p. 57), then the ethical failures inherent in a system-wide move toward for-profit homework systems and plagiarism checkers sets a dangerous model for students to follow. Paper presented at the University of Calgary, Calgary http://hdl.handle.net/1880/110083), then the ethical failur
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Endong, Floribert Patrick C. "Using ICTs to Check Plagiarism in PhD Research Works in Nigeria." In Advances in Library and Information Science. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7065-3.ch002.

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The proliferation of plagiarism in African universities has rationalized the adoption of various strategies to mitigate or eradicate it. In Nigeria particularly, computer-assisted approaches such as the Turnitin software have been appropriated to tackle this challenge. Many Nigerian universities have adopted Turnitin to ameliorate the quality of PhD research produced in their faculties. Although lauded in many quarters, this recourse to ICTs to check plagiarism has seen multiple challenges, some of which include poor anti-plagiarism policies, fallible anti-plagiarism software, and the Nigerian
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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Amine Rahmani. "BHA2." In Scholarly Ethics and Publishing. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8057-7.ch018.

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In the last decade, the plagiarism cases were increased and become a topical problem in the modern scientific world, caused by the quantity of textual information available online/offline. The authors' work deals on the development of a new plagiarism detector system called BHA2 which has as input the suspicious text (to be analysed) and the original texts (learning basis). It can detect the different forms of plagiarism based on: Google API to detect the cases of plagiarism with translation; text summarization to detect the plagiarism of idea; conceptual transformation to detect the plagiaris
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Puri, Karuna, and Preeti Mulay. "Knowledge Management in Academic Community." In Enhancing Academic Research With Knowledge Management Principles. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2489-2.ch006.

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Students are roots of a country's economic-expansion, often opt for different forms of Code-Content based Plagiarism in University Programming-Labs to avoid time-consuming and challenging academic tasks or due to grades, and peers pressure. Students may lack analytical and logical program development skills. This urges for need of Smart and Computationally-Intelligent system like University Code-Content Plagiarism Prevention Model (UCCPM) to keep a check and prevent incidences of plagiarism in Universities. Integration of ‘UCCPM Intelligence' with ‘MARG's Prevention' would prove to be a benefi
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Puri, Karuna, and Preeti Mulay. "Knowledge Management in Academic Community." In Scholarly Ethics and Publishing. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8057-7.ch024.

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Students are roots of a country's economic-expansion, often opt for different forms of Code-Content based Plagiarism in University Programming-Labs to avoid time-consuming and challenging academic tasks or due to grades, and peers pressure. Students may lack analytical and logical program development skills. This urges for need of Smart and Computationally-Intelligent system like University Code-Content Plagiarism Prevention Model (UCCPM) to keep a check and prevent incidences of plagiarism in Universities. Integration of ‘UCCPM Intelligence' with ‘MARG's Prevention' would prove to be a benefi
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Stevkovska, Marija. "Redesigning Academic Writing Assignments in the Age of AI-Generated Content." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-4310-4.ch007.

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This chapter aims to explore different ways of designing academic writing assignments in the face of artificial intelligence and provide strategies for managing academic dishonesty and AI-generated content. Before AI, plagiarism was the most common problem in academic writing. Emerging trends in AI and machine learning have transformed the writing process completely. Students focus on the end product and lack motivation to develop their academic writing skills. Therefore, teachers have to rethink and redesign students' writing tasks to overcome the challenges of academic writing. This involves
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Glendinning, Irene. "Detecting Is Just the Start." In Academic Integrity in the Age of Artificial Intelligence. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0240-8.ch012.

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When students submit work for assessment that that they did not create themselves, unless this can be both identified and proven, the students will unfairly gain credits towards their qualification. For text-based plagiarism or collusion, even if the student has tried to disguise it, it is likely to be detected and evidenced if text matching software is used systematically to check all submissions. If it is original work that has been created for the student, typically contract cheating or use of generative AI, then it is less straightforward. The first challenge is detecting a potential breac
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Robinson, Marin S., Fredricka L. Stoller, Molly Constanza-Robinson, and James K. Jones. "Formatting Citations and References." In Write Like a Chemist. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780195367423.003.0026.

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In this chapter, we introduce you to formatting conventions for citations and references. Writers are obligated to cite others’ works that have significantly influenced or are relevant to their own work. It goes without saying that to include another’s original ideas without proper acknowledgment is plagiarism. Consequently, this stage of the writing process is critical both professionally and ethically. Although citations and references are inextricably linked, for clarity we deal with them separately. By the end of the chapter, you will be able to do the following: ■ Know what information sh
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Conference papers on the topic "Plagiarism check"

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Kutsiy, O. Ya, A. Yu Kutsaya, and T. Yu Tsibizova. "Organization of graduate projects Plagiarism check." In XLV ACADEMIC SPACE CONFERENCE, DEDICATED TO THE MEMORY OF ACADEMICIAN S.P. KOROLEV AND OTHER OUTSTANDING NATIONAL SCIENTISTS — PIONEERS OF SPACE EXPLORATION. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0108815.

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Pawelczak, Dieter. "Effects of Plagiarism in Introductory Programming Courses on the Learning Outcomes." In Fifth International Conference on Higher Education Advances. Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9297.

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We compare two introductory programming courses and the accompanying programming assignments with respect to the learning outcomes and the relation to plagiarism. While in the first course the solutions from the students of their programming assignments are checked directly with a plagiarism detection system to prevent students from plagiarizing, plagiarism is not tracked in the second course. Running a post check against plagiarism after the course reveals a significant higher plagiarism rate with several exact copies. As the number of students handing in copies from fellow students increases
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David, Irina, and Luciamihaela Grosuradulescu. "THE INTERNET - FRIEND OR FOE OF ACADEMIC PLAGIARISM." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-132.

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Teaching English for specific purposes (ESP) is a complex field, in which students are encouraged not only to develop their proficiency skills in the four main areas of language development – i.e. reading, listening, writing and speaking – but also to acquire and develop a series of competences that would enhance their creativity, flexibility, information processing and problem-solving ability. This multifold approach could justify why one of the major issues in teaching ESP is represented by efforts to eliminate plagiarism from the students’ written work. As the Internet has become more and m
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Popova, Nataliia, Olena Bratel, Maryna Kostiuk, and Ganna Syngayivska. "PLAGIARISM CHECK OF LINGUISTICS THESES FOR BACHELOR’S AND MASTER’S DEGREES." In 14th annual International Conference of Education, Research and Innovation. IATED, 2021. http://dx.doi.org/10.21125/iceri.2021.0508.

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Dreher, Heinz. "Automatic Conceptual Analysis for Plagiarism Detection." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3141.

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In order to detect plagiarism, comparisons must be made between a target document (the suspect) and reference documents. Numerous automated systems exist which check at the text-string level. If the scope is kept constrained, as for example in within-cohort plagiarism checking, then performance is very reasonable. On the other hand if one extends the focus to a very large corpus such as the WWW then performance can be reduced to an impracticable level. The three case studies presented in this paper give insight into the text-string comparators, whilst the third case study considers the very ne
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Indah, Rohmani Nur, and Khoirul Hidayah. "The Use of Online Similarity Check to Improve Student’s Awareness on Plagiarism Issues." In International Conference Recent Innovation. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0009923511121117.

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Meier, Heidi, and Marina Lepp. "Style features in the programming process which can help indicate plagiarism." In Seventh International Conference on Higher Education Advances. Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/head21.2021.13072.

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In the new situation, where more and more final programming assignments are performed outside the classroom, it is necessary to pay more attention to the possibilities of understanding whether a student has created the solution on their own. To do this, it is possible to use a programming environment that logs user actions. One such environment is Thonny, which also allows the programming process to be replayed. The aim of this study is to identify style features of different learners, based on solution logs of introductory programming courses, and to explore how permanent these features are a
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Stefan, Florea, Alexandra Cernian, and Anca daniela Ionita. "AUTOMATED UML MODEL COMPARISON FOR QUALITY ASSURANCE IN SOFTWARE ENGINEERING EDUCATION." In eLSE 2013. Carol I National Defence University Publishing House, 2013. http://dx.doi.org/10.12753/2066-026x-13-063.

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Quality assurance in educational institutions should include mechanisms for detecting any student's attempt to cheat at his or her written assessments. Due to an increasing number of incidents, it is necessary to define holistic approaches at institutional levels, where management, culture and infrastructure should be taken into account. For this purpose, universities generally use tools for detecting plagiarism, based on comparing text and grammatical style, as well as searching for similar materials available on the Internet. Apart from general systems for detecting plagiarism, each discipli
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Tirumala, Sreenivas Sremath, and Chris Mayhew. "A Chitchat on Using ChatGPT for Cheating." In CITRENZ 2023 Conference. Unitec ePress, 2024. http://dx.doi.org/10.34074/proc.240106.

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With the rapid increase in the usage of artificial intelligence, there has been considerable impact on how AI tools are utilised for academic misconduct. Catching this behaviour has been a big challenge, as learners have developed approaches to remove traces and footprints that indicate possible usage of AI tools. Tools such as Turnitin can check for originality or plagiarism, but provide very little assistance in differentiating AI- and non-AI-generated works. Generative tools such as ChatGPT, Bard and Copilot are posing challenges to academic staff in identifying misconduct. This research ai
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Joo, Sung-Hwan. "Assessment of Three Dimensional CAD Models Using CAD Application Programming Interface." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87776.

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It has been always a challenge to grade and assess the students’ CAD (Computer-Aided Design) three-dimensional models in the class. The high number of the files and complexity of models make the task time-consuming and tedious many times. For example, even opening and closing each CAD file takes a lot of time. When hundreds of CAD models need to open and verified, it takes more than one hour to finish the task. The work has been done to simplify this task and make it easy using Commercial CAD software’s API (Application Programming Interface), which can be used to automate and customize the CA
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