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Xuefan Li; Marco Zappatore; Tingsong Li; Weiwei Zhang; Sining Tao; Xiaoqing Wei; Xiaoxu Zhou; Naiqing Guan; Anny Chan – IEEE Transactions on Learning Technologies, 2025
The integration of generative artificial intelligence (GAI) into educational settings offers unprecedented opportunities to enhance the efficiency of teaching and the effectiveness of learning, particularly within online platforms. This study evaluates the development and application of a customized GAI-powered teaching assistant, trained…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Academic Achievement
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
Chan, Kinnie Kin Yee; Bond, Trevor; Yan, Zi – Language Testing, 2023
We investigated the relationship between the scores assigned by an Automated Essay Scoring (AES) system, the Intelligent Essay Assessor (IEA), and grades allocated by trained, professional human raters to English essay writing by instigating two procedures novel to written-language assessment: the logistic transformation of AES raw scores into…
Descriptors: Computer Assisted Testing, Essays, Scoring, Scores
Dixon-Román, Ezekiel; Nichols, T. Philip; Nyame-Mensah, Ama – Learning, Media and Technology, 2020
In this article, we examine the sociopolitical implications of AI technologies as they are integrated into writing instruction and assessment. Drawing from new materialist and Black feminist thought, we consider how learning analytics platforms for writing are animated by and through entanglements of algorithmic reasoning, state standards and…
Descriptors: Racial Bias, Artificial Intelligence, Educational Technology, Writing Instruction
Farmer, Tadd; West, Richard – Journal of Online Learning Research, 2019
In this interpretative phenomenological analysis (IPA) study, we found that the experiences of online teachers are highly complex and individualized, and that the development of their concerns as teachers is largely unaffected by years of teaching experience. Because of the dramatic increase in online K-12 education, there is a need for additional…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Online Courses
Kiliçkaya, Ferit – Teaching English with Technology, 2017
This study aimed to determine EFL (English as a Foreign Language) teachers' perceptions and experience regarding their use of "GradeCam Go!" to grade multiple choice tests. The results of the study indicated that the participants overwhelmingly valued "GradeCam Go!" due to its features such as grading printed forms for…
Descriptors: English (Second Language), Second Language Instruction, Teacher Attitudes, Multiple Choice Tests
Montacute, Rebecca; Holt-White, Erica – Sutton Trust, 2020
The COVID-19 pandemic poses significant challenges for higher education across the UK. This year's cohort of university applicants now face months of uncertainty, as they try to make decisions on their future amid exam cancellations and a new system to determine grades, all without face-to-face support from their school. For students currently…
Descriptors: Disease Control, Distance Education, Online Courses, Access to Computers
Newhouse, C. Paul – Technology, Pedagogy and Education, 2015
This paper reports on the outcomes of a three-year study investigating the use of digital technologies to increase the authenticity of high-stakes summative assessment in four Western Australian senior secondary courses. The study involved 82 teachers and 1015 students and a range of digital forms of assessment using computer-based exams, digital…
Descriptors: Educational Technology, High Stakes Tests, Summative Evaluation, Secondary School Students
Coniam, David – British Journal of Educational Technology, 2011
In Hong Kong, onscreen marking (OSM) is superseding paper-based marking (PBM) across the entire national examinations system. This paper describes a qualitative study of the attitudes of Liberal Studies markers towards OSM. This becomes a compulsory subject in Hong Kong's new senior secondary school curriculum to be first examined in 2012, with a…
Descriptors: Foreign Countries, Interviews, Secondary School Curriculum, Grading
Coniam, David – Journal of Educational Technology Systems, 2011
This article details an investigation into the onscreen marking (OSM) of Liberal Studies (LS) in Hong Kong--where paper-based marking (PBM) of public examinations is being phased out and wholly superseded by OSM. The study involved 14 markers who had previously rated Liberal Studies scripts on screen in the 2009 Hong Kong Advanced Level…
Descriptors: Foreign Countries, Computer Assisted Testing, Educational Technology, Comparative Analysis
Coniam, David; Yeung, Sau-chu Alison – Asia Pacific Journal of Education, 2010
This article reports the move from paper-based marking (PBM) to onscreen marking (OSM) in Hong Kong for the subject Liberal Studies--whose objectives involve broadening students' horizons through critical examination of current issues. While currently a small candidature subject of approximately 3300, from 2009, the subject will become compulsory…
Descriptors: Foreign Countries, Secondary School Curriculum, Questionnaires, Pretests Posttests
British Columbia Ministry of Education, 2014
This handbook outlines procedures for sharing student data between schools and the Ministry of Education, and answers questions pertaining to provincial examinations. It supports the work of both educators and the Ministry, which works with schools to produce transcripts and administer provincial exams. The following are appended: (1) Forms; and…
Descriptors: Student Records, Access to Information, Disclosure, Information Dissemination
Shaw, Stuart – E-Learning, 2008
Computer-assisted assessment offers many benefits over traditional paper methods. However, in transferring from one medium to another, it is crucial to ascertain the extent to which the new medium may alter the nature of traditional assessment practice or affect marking reliability. Whilst there is a substantial body of research comparing marking…
Descriptors: Construct Validity, Writing Instruction, Computer Assisted Testing, Student Evaluation
Wang, Hao-Chuan; Chang, Chun-Yen; Li, Tsai-Yen – Computers & Education, 2008
The work aims to improve the assessment of creative problem-solving in science education by employing language technologies and computational-statistical machine learning methods to grade students' natural language responses automatically. To evaluate constructs like creative problem-solving with validity, open-ended questions that elicit…
Descriptors: Interrater Reliability, Earth Science, Problem Solving, Grading
Ashton, Helen S.; Beevers, Cliff E.; Korabinski, Athol A.; Youngson, Martin A. – British Journal of Educational Technology, 2006
In a mathematical examination on paper, partial credit is normally awarded for an answer that is not correct, but, nevertheless, contains some of the correct working. Assessment on computer normally marks an incorrect answer wrong and awards no marks. This can lead to discrepancies between marks awarded for the same examination given in the two…
Descriptors: Secondary School Mathematics, Computer Assisted Testing, Mathematics Tests, Grading
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