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Hunkoog Jho; Minsu Ha – Journal of Baltic Science Education, 2024
This study aimed at examining the performance of generative artificial intelligence to extract argumentation elements from text. Thus, the researchers developed a web-based framework to provide automated assessment and feedback relying on a large language model, ChatGPT. The results produced by ChatGPT were compared to human experts across…
Descriptors: Feedback (Response), Artificial Intelligence, Persuasive Discourse, Models
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Aliya Mambetalina; Kehinde Lawrence; Assanali Amangossov; Karima Mukhambetkalieva; Shnar Demissenova – Psychology in the Schools, 2024
The need to identify and recognize school going children with giftedness remains a concern of the Republic of Kazakhstan's government. This concern motivated this study to examine the internal structure of the giftedness characteristic identification scale (GCIS) for use by Kazakhstan's school children. Exploratory quantitative research approach,…
Descriptors: Foreign Countries, Gifted, Talent Identification, Measures (Individuals)
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Peter Grainger; Michael Carey; Craig Johnston – Assessment & Evaluation in Higher Education, 2024
Research on assessment in the field of doctoral education remains an underexplored domain, particularly concerning the preconfirmation or probationary stage of candidature, when attrition is at its highest. We propose that the use of rubrics in this preconfirmation stage has the potential to improve feedback literacy and overall progression to…
Descriptors: Scoring Rubrics, Doctoral Students, Student Evaluation, Feedback (Response)
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Grethe Sandstrak; Bjorn Klefstad; Arne Styve; Kiran Raja – IEEE Transactions on Education, 2024
Teaching programming efficiently to students in the first year of computer science education is challenging. It is especially cumbersome to retain the interest of both groups, when the student group consists of novice (i.e., those who have never programmed before) and expert programmers in the same crowd. Thus, individualized teaching cannot be…
Descriptors: Computer Science Education, Programming, Teaching Methods, College Freshmen
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Remigius C. Nnadozie – Cogent Education, 2024
This study reviews the implications of the 2014 reporting regulation for public higher education institutions (PHEIs) in South Africa. Guided by the monitoring and evaluation logical framework model and the theory of change, the research assesses the alignment between the regulation's outcomes and practical implementation. Employing a Document…
Descriptors: Foreign Countries, Educational Policy, Higher Education, Federal Regulation
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Raili Hilden; Anne Dragemark-Oscarson; Ali Yildirim; Birgitta Fröjdendahl – Cogent Education, 2024
The objective of this study is to expand teachers' knowledge base of assessment in teaching by exploring pre-service language teachers' construct of grading literacy during their pedagogical studies and immediately after. We conceptualize pre-service language teachers' grading literacy with a literature-based flow model of decision-making…
Descriptors: Preservice Teachers, Language Teachers, Grading, Foreign Countries
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Xinliang Zhu; Ting Tang – Cogent Education, 2024
In recent years, single-subject experimental courses have not been able to meet the demands of the comprehensive development of life sciences. This study is based on two fundamental disciplines, molecular biology and metabolomics, with the analysis and intervention of tumor-related genes as the starting point. A comprehensive experimental course…
Descriptors: Cancer, Molecular Biology, Scientific Concepts, Intervention
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Luyu Zhu; Jia Hao; Jianhou Gan – Interactive Learning Environments, 2024
Nowadays, Massive Open Online Courses (MOOC) has been gradually accepted by the public as a new type of education and teaching method. However, due to the lack of timely intervention and guidance from educators, learners' performance is not as effective as it could be. To address this problem, predicting MOOC learners' performance and providing…
Descriptors: MOOCs, Academic Achievement, Prediction, Bayesian Statistics
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Yves Bestgen – Applied Linguistics, 2024
Measuring lexical diversity in texts that have different lengths is problematic because length has a significant effect on the number of types a text contains, thus hampering any comparison. Treffers-Daller et al. (2018) recommended a simple solution, namely counting the number of types in a section of a given length that was extracted from the…
Descriptors: Language Variation, Second Language Learning, Essays, Writing Evaluation
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Leonie Brummer; Hester de Boer; Jolien M. Mouw; Jan-Willem Strijbos – Learning Environments Research, 2024
Even though context, content, and task factors are considered essential parts of digitally delivered instructional feedback, their effects on learning performance are most often studied separately. A meta-analysis was carried out to address the effects of context, content, and task factors of digitally delivered instructional feedback on learning…
Descriptors: Feedback (Response), Teacher Response, Computer Mediated Communication, Computer Assisted Instruction
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Alexander Rushforth; Sarah De Rijcke – Research Evaluation, 2024
Recent times have seen the growth in the number and scope of interacting professional reform movements in science, centered on themes such as open research, research integrity, responsible research assessment, and responsible metrics. The responsible metrics movement identifies the growing influence of quantitative performance indicators as a…
Descriptors: College Faculty, Teacher Selection, Faculty Promotion, Tenure
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Karel Kok; Sophia Chroszczinsky; Burkhard Priemer – Physical Review Physics Education Research, 2024
Data comparison problems are used in teaching and science education research that focuses on students' ability to compare datasets and their conceptual understanding of measurement uncertainties. However, the evaluation of students' decisions in these problems can pose a problem: e.g., students making a correct decision for the wrong reasons.…
Descriptors: Secondary School Students, Undergraduate Students, Comparative Analysis, Evaluation Methods
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Shashi Nallaya; Sheridan Gentili; Scott Weeks; Katherine Baldock – Issues in Educational Research, 2024
Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…
Descriptors: Test Validity, Test Reliability, Cheating, Higher Education
Marc Newall; Ellie Bristow; Katie Sperring – National Literacy Trust, 2024
The United Kingdom government has announced a review of the curriculum and assessment system. The goal is to deliver a curriculum that is rich and broad, inclusive and innovative, and which develops children's knowledge and skills. In doing so, the government has promised to consult widely to ensure that it is drawing on relevant expertise.…
Descriptors: Foreign Countries, Curriculum Evaluation, Evaluation Methods, Child Development
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Jennifer A. Gallagher; Lynn M. Resler; Jessica Taylor; M. Kevin Hamed – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Meaningfully engaging faculty in assessment presents a continual challenge for general education administrators. Faculty perceptions of assessment--including that assessment serves no purpose other than "checking a box" for accreditation and that it conveys little benefit to the instructor--often hinder instructor engagement. A low-cost…
Descriptors: General Education, Evaluation, Teacher Attitudes, Administrator Attitudes
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