Challenges in Authenticity Check of Student Papers at the Study of Digital Economy

The accelerated development of information technology and artificial intelligence tools that assist students in written assignments have become an increasing challenge for teachers in verifying their authenticity. The goal of this research is to determine the differences of seminar papers and master...

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Veröffentlicht in:2024 47th MIPRO ICT and Electronics Convention (MIPRO) S. 381 - 385
Hauptverfasser: Sokele, Mladen, Kuvacic, Dalija, Moric, Sanja
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 20.05.2024
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ISSN:2623-8764
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Abstract The accelerated development of information technology and artificial intelligence tools that assist students in written assignments have become an increasing challenge for teachers in verifying their authenticity. The goal of this research is to determine the differences of seminar papers and master theses at the Professional Graduate Study of Digital Economy, before and after the possibility of artificial intelligence aid usage. The comparison is carried out by analyzing detailed reports from the Turnitin originality checking service as well as complementary indicators for effective number of different sources and similarity index per source based on the Herfindahl-Hirschman index. In addition, a quantitative linguistic analysis of sample sets of master's theses was performed and it was shown that such analysis can be useful for detecting text generated by artificial intelligence. To maintain the quality of study and preserve the alignment of student competencies with the qualification they acquire upon completion of the educational program, there is an equal importance of systematic monitoring of students' progress, academic integrity awareness empowerment and adequate forms of knowledge assessment.
AbstractList The accelerated development of information technology and artificial intelligence tools that assist students in written assignments have become an increasing challenge for teachers in verifying their authenticity. The goal of this research is to determine the differences of seminar papers and master theses at the Professional Graduate Study of Digital Economy, before and after the possibility of artificial intelligence aid usage. The comparison is carried out by analyzing detailed reports from the Turnitin originality checking service as well as complementary indicators for effective number of different sources and similarity index per source based on the Herfindahl-Hirschman index. In addition, a quantitative linguistic analysis of sample sets of master's theses was performed and it was shown that such analysis can be useful for detecting text generated by artificial intelligence. To maintain the quality of study and preserve the alignment of student competencies with the qualification they acquire upon completion of the educational program, there is an equal importance of systematic monitoring of students' progress, academic integrity awareness empowerment and adequate forms of knowledge assessment.
Author Sokele, Mladen
Kuvacic, Dalija
Moric, Sanja
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  organization: Zagreb University of Applied Sciences,Zagreb,Croatia
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  givenname: Dalija
  surname: Kuvacic
  fullname: Kuvacic, Dalija
  email: dalija.kuvacic@tvz.hr
  organization: Zagreb University of Applied Sciences,Zagreb,Croatia
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  givenname: Sanja
  surname: Moric
  fullname: Moric, Sanja
  email: sanja.moric@tvz.hr
  organization: Zagreb University of Applied Sciences,Zagreb,Croatia
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Snippet The accelerated development of information technology and artificial intelligence tools that assist students in written assignments have become an increasing...
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SubjectTerms Artificial intelligence
Authenticity check of student papers
Digital transformation
Digital transformation in higher education
Effective number of different sources (ENDS)
Effective similarity index per source (ESIS)
Heaps'law
Indexes
Information technology
Linguistics
Professional Graduate Study of Digital Economy
Seminars
Systematics
Zipf's law
Title Challenges in Authenticity Check of Student Papers at the Study of Digital Economy
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