Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Tobias Kamelski

Biographic Data

ID4250155
NAMETobias Kamelski
GIVEN NAMESTobias
FAMILY NAMEKamelski
SIGNATUREKAMELSKI T
AFFILIATIONSLingnan University, Tuen Mun, Hong Kong SAR
ORCID0000-0002-4537-5709
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Assessing Instructor-AI Cooperation for Grading Essay-Type Questions in an Introductory Sociology Course

    Open Access•Francisco Olivos, Tobias Kamelski et al.•ARTICLE•Teaching Sociology•2026•References: 57

    This study explores the use of artificial intelligence (AI) as a complementary tool for grading essay-type questions in higher education, focusing on its consistency with human grading and potential to reduce biases. Using 70 handwritten exams from an introductory sociology course, we evaluated generative pretrained transformer (GPT) models’ performance in transcribing and scoring students’ responses. GPT models were tested under various settings…

  • AI-replicas as ethical practice: Introducing an Alternative to Traditional Anonymisation Techniques in Image-Based Research

    Open Access•Tobias Kamelski, Francisco Olivos•ARTICLE•Qualitative Research•2025•References: 28

    This article introduces the use of AI-replicas as an alternative to traditional anonymisation methods in image-based qualitative research. It emphasises the ethical and practical dilemmas posed by current anonymisation methods, such as distortion or loss of emotional and contextual information in images, and proposes the use of AI-replicas to preserve the integrity and authenticity of visual data while ensuring participant anonymity. The article …

No prominent works on this page.

  • AI-replicas as ethical practice: Introducing an Alternative to Traditional Anonymisation Techniques in Image-Based Research

    Open Access•Tobias Kamelski, Francisco Olivos•ARTICLE•Qualitative Research•2025•References: 28

    This article introduces the use of AI-replicas as an alternative to traditional anonymisation methods in image-based qualitative research. It emphasises the ethical and practical dilemmas posed by current anonymisation methods, such as distortion or loss of emotional and contextual information in images, and proposes the use of AI-replicas to preserve the integrity and authenticity of visual data while ensuring participant anonymity. The article …

  • Assessing Instructor-AI Cooperation for Grading Essay-Type Questions in an Introductory Sociology Course

    Open Access•Francisco Olivos, Tobias Kamelski et al.•ARTICLE•Teaching Sociology•2026•References: 57

    This study explores the use of artificial intelligence (AI) as a complementary tool for grading essay-type questions in higher education, focusing on its consistency with human grading and potential to reduce biases. Using 70 handwritten exams from an introductory sociology course, we evaluated generative pretrained transformer (GPT) models’ performance in transcribing and scoring students’ responses. GPT models were tested under various settings…

Generative grammar (2 works) · Academic integrity and plagiarism (1 works) · Anonymity (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Citizen journalism (1 works) · Computer Science (1 works) · Computer security (1 works) · Curriculum (1 works) · Data science (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae