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Showing 1 to 15 of 20 results Save | Export
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Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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Dorsey, David W.; Michaels, Hillary R. – Journal of Educational Measurement, 2022
We have dramatically advanced our ability to create rich, complex, and effective assessments across a range of uses through technology advancement. Artificial Intelligence (AI) enabled assessments represent one such area of advancement--one that has captured our collective interest and imagination. Scientists and practitioners within the domains…
Descriptors: Validity, Ethics, Artificial Intelligence, Evaluation Methods
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Hilliger, Isabel; Ruipérez-Valiente, José A.; Alexandron, Giora; Gaševic, Dragan – Journal of Computer Assisted Learning, 2022
Background: Online learning has grown significantly during the past two decades, and COVID-19 pandemic has expedited this process. However, previous research has shown how academic dishonesty is more prevalent under these modalities. Therefore, there is the challenge of performing trustworthy remote assessments, in order to obtain valid and…
Descriptors: Online Courses, Ethics, Student Evaluation, Evaluation Methods
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Celeste Combrinck; Nelé Loubser – Discover Education, 2025
Written assignments for large classes pose a far more significant challenge in the age of the GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students in a class. Therefore, we conducted a study in South Africa and involved 280 Honors students to explore the usefulness of Turnitin's AI…
Descriptors: Foreign Countries, Artificial Intelligence, Large Group Instruction, Alternative Assessment
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Linda Amrane-Cooper; Stylianos Hatzipanagos; Liz Marr; Alan Tait – Open Praxis, 2024
The COVID-19 pandemic accelerated the shift to online assessment, prompting debates over validity, security, and increasingly the impact of Artificial Intelligence (AI) tools, especially generative AI, on traditional examination methods. This paper explores perceptions of the evolving landscape of online assessment and the role of AI within higher…
Descriptors: Computer Assisted Testing, Artificial Intelligence, Foreign Countries, Technology Uses in Education
Chan, Cecilia Ka Yuk – Routledge Research in Education, 2022
Chan's book explores the challenges in assessing experiential learning, deepens our understanding, and inspires readers to think critically about the purpose of assessment in experiential learning. Experiential learning has been studied and proven to be effective for student learning, particularly for the development of holistic competencies (i.e.…
Descriptors: Experiential Learning, Evaluation Methods, Student Evaluation, 21st Century Skills
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Nguyen, Joseph G.; Keuseman, Kristopher J.; Humston, Jonathan J. – Journal of Chemical Education, 2020
When campuses across the world needed to transition to the online format due to the COVID-19 pandemic, there were many challenges educators faced, and addressing academic integrity issues were some of the most important. Certain strategies, such as online proctoring or additional software, were not available to most institutions because the…
Descriptors: COVID-19, Pandemics, Online Courses, Distance Education
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Manoharan, Sathiamoorthy – IEEE Transactions on Education, 2017
Although every educational institution has a code of academic honesty, they still encounter incidents of plagiarism. These are difficult and time-consuming to detect and deal with. This paper explores the use of personalized assessments with the goal of reducing incidents of plagiarism, proposing a personalized assessment software framework…
Descriptors: Evaluation Methods, Student Evaluation, Plagiarism, Ethics
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Teymour Rahmati; Musa Nushi – Iranian Journal of Language Teaching Research, 2023
Drawing on duoethnography, the teacher researchers in the present study interacted with the relevant literature, engaged in dialogs, and shared artifacts to examine their knowledge, beliefs, and practices regarding fairness and justice considerations in technology-enhanced language classroom assessment. Under the domain of knowledge, they…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, High Stakes Tests
National Assessment Governing Board, 2018
Technology and engineering are increasingly being incorporated into school coursework, ranging from instruction on the use of computers and information technology within school subjects to classes that examine the role of technology in society, or courses that teach engineering design. Information communication technologies have become integral…
Descriptors: STEM Education, Technology Education, Engineering Education, Information Technology
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Paullet, Karen; Chawdhry, Adnan A.; Douglas, David M.; Pinchot, Jamie – Information Systems Education Journal, 2016
Online Education is growing as it provides an added convenience to students, especially ones who have life circumstances that prevent them from attending traditional classes. With this growing trend, faculty and universities are facing increased risks with validating student identities in online courses and combatting unethical student behavior.…
Descriptors: Teacher Attitudes, Online Courses, Ethics, Cheating
National Assessment Governing Board, 2018
This is an abridged version of the full assessment framework, written for a general audience. The National Assessment of Educational Progress (NAEP), otherwise known as The Nation's Report Card, informs the public about the academic achievement of elementary and secondary students in the United States. Report cards communicate the findings of…
Descriptors: STEM Education, Technology Education, Engineering Education, Information Technology
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King, Chula G.; Guyette, Roger W., Jr.; Piotrowski, Chris – Journal of Educators Online, 2009
Academic integrity has been a perennial issue in higher education. Undoubtedly, the advent of the Internet and advances in user-friendly technological devices have spurred both concern on the part of faculty and research interest in the academic community regarding inappropriate and unethical behavior on the part of students. This study is…
Descriptors: Cheating, Integrity, Ethics, Business Education
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Sangi, Nazir A. – Learning, Media and Technology, 2008
Electronic assessment (e-assessment) methods are at an early stage of development at various levels of education in South East Asian region. Until the primary resource requirements of the various educational institutions have been met in terms of providing an effective and efficient e-assessment system, a range of problems will arise for the…
Descriptors: Surveys, Foreign Countries, Evaluation Methods, Higher Education
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