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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
Shard; Devesh Kumar; Sapna Koul – International Journal of Information and Learning Technology, 2024
Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
Emily B. Goldberg; Sheila R. Pratt; Malcolm R. McNeil; Neil Szuminsky; Kenneth DeHaan; Leslie Q. Zhen – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The present study assessed the test-retest reliability of the American Sign Language (ASL) version of the Computerized Revised Token Test (CRTT-ASL) and compared the differences and similarities between ASL and English reading by Deaf and hearing users of ASL. Method: Creation of the CRTT-ASL involved filming, editing, and validating CRTT…
Descriptors: American Sign Language, Reliability, Validity, Test Construction
Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
Kershree Padayachee; M. Matimolane – Teaching in Higher Education, 2025
In the shift to Emergency Remote Teaching and Learning (ERT&L) during the COVID-19 pandemic, remote assessment and feedback became a major source of discontent and challenge for students and staff. This paper is a reflection and analysis of assessment practices during ERT&L, and our theorisation of the possibilities for shifts towards…
Descriptors: Educational Quality, Social Justice, Distance Education, Feedback (Response)
Swapna Haresh Teckwani; Amanda Huee-Ping Wong; Nathasha Vihangi Luke; Ivan Cherh Chiet Low – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…
Descriptors: Accuracy, Reliability, Computational Linguistics, Standards
Huda, S. S. M.; Kabir, Md.; Siddiq, Tanvir – International Journal of Education and Development using Information and Communication Technology, 2020
This paper aims to examine the effectiveness of e-assessment in higher education from the perspective of students, and it also examines the student's reaction to this method. There are many developing countries that have begun to explore technology-based assessment systems. The new assessment system has benefits to institutions and to students.…
Descriptors: Computer Assisted Testing, Student Attitudes, Program Effectiveness, Technology Uses in Education
Dalton, Sarah Grace; Stark, Brielle C.; Fromm, Davida; Apple, Kristen; MacWhinney, Brian; Rensch, Amanda; Rowedder, Madyson – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts. Method: Forty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five…
Descriptors: Validity, Discourse Analysis, Databases, Scoring
Sara Faye Maher – ProQuest LLC, 2020
To meet the needs of complex and/or underserved patient populations, health care professionals must possess diverse backgrounds, qualities, and skill sets. Holistic review has been used to diversify student admissions through examination of non-cognitive attributes of health care applicants. The objective of this study was to develop a novel…
Descriptors: Computer Assisted Testing, Pilot Projects, Measures (Individuals), Reliability
Al-Maqbali, Asma Hilal; Raja Hussain, Raja Maznah – Journal of University Teaching and Learning Practice, 2022
With the emergence of COVID-19, many educational pillars have been altered from conventional ways to online solutions. The educational assessment has been administered in online environments despite all encountered challenges. This descriptive study aimed to uncover the online assessment challenges that were confronted. Furthermore, it intended to…
Descriptors: Barriers, Computer Assisted Testing, COVID-19, Pandemics
Semsar, Katharine; Brownell, Sara; Couch, Brian A.; Crowe, Alison J.; Smith, Michelle K.; Summers, Mindi M.; Wright, Christian D.; Knight, Jennifer K. – Advances in Physiology Education, 2019
We describe the development of a new, freely available, online, programmatic-level assessment tool, Measuring Achievement and Progress in Science in Physiology, or Phys-MAPS (http://cperl.lassp.cornell.edu/bio-maps). Aligned with the conceptual frameworks of Core Principles of Physiology, and Vision and Change Core Concepts, Phys-MAPS can be used…
Descriptors: Physiology, Science Instruction, Science Tests, Computer Assisted Testing
Allehaiby, Wid Hasen; Al-Bahlani, Sara – Arab World English Journal, 2021
One of the main challenges higher educational institutions encounter amid the recent COVID-19 crisis is transferring assessment approaches from the traditional face-to-face form to the online Emergency Remote Teaching approach. A set of language assessment principles, practicality, reliability, validity, authenticity, and washback, which can be…
Descriptors: Barriers, Distance Education, Evaluation Methods, Teaching Methods
Sieke, Scott A.; McIntosh, Betsy B.; Steele, Matthew M.; Knight, Jennifer K. – CBE - Life Sciences Education, 2019
Understanding student ideas in large-enrollment biology courses can be challenging, because easy-to-administer multiple-choice questions frequently do not fully capture the diversity of student ideas. As part of the Automated Analysis of Constructed Responses (AACR) project, we designed a question prompting students to describe the possible…
Descriptors: Genetics, Scientific Concepts, Biology, Science Instruction
Xiao, Ying; Liang, Zheng-liu; Li, Qiang; Jia, Ruo-jun – TESOL International Journal, 2017
Thanks to the increased accessibility of multimedia technology, video texts have been widely used in teaching English in Chinese foreign language classrooms. This trend provides great impetus for changes in the means of assessing listening in both achievement and proficiency tests, and suggests the potential possibility of supplanting the…
Descriptors: Language Tests, Listening Comprehension Tests, Comparative Analysis, Video Technology
Liu, Sha; Kunnan, Antony John – CALICO Journal, 2016
This study investigated the application of "WriteToLearn" on Chinese undergraduate English majors' essays in terms of its scoring ability and the accuracy of its error feedback. Participants were 163 second-year English majors from a university located in Sichuan province who wrote 326 essays from two writing prompts. Each paper was…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
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