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Ashley Barker – ProQuest LLC, 2024
One of the greatest challenges for schools is to identify effective and ineffective teachers in a classroom. Teacher evaluation is an expensive process in both time and resources. It is important that evaluations provide data to improve teaching and learning. Therefore, each evaluation needs to communicate opportunities for growth. This…
Descriptors: Teacher Evaluation, Teacher Improvement, Educational Improvement, Feedback (Response)
Jessica Thomas – ProQuest LLC, 2024
The purpose of this quantitative correlational study was to determine if, and to what extent, a relationship existed between teachers' perceptions of their evaluator's instructional leadership and the teachers' evaluation scores at the middle and high school levels in one Florida school district. Ozcan's theory of teacher motivation states that…
Descriptors: Secondary School Teachers, Teacher Attitudes, Teacher Evaluation, Evaluators
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Krishna Mohan Surapaneni; Anusha Rajajagadeesan; Lakshmi Goudhaman; Shalini Lakshmanan; Saranya Sundaramoorthi; Dineshkumar Ravi; Kalaiselvi Rajendiran; Porchelvan Swaminathan – Biochemistry and Molecular Biology Education, 2024
The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an…
Descriptors: Biochemistry, Science Instruction, Artificial Intelligence, Teaching Methods
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Jordan M. Wheeler; Allan S. Cohen; Shiyu Wang – Journal of Educational and Behavioral Statistics, 2024
Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…
Descriptors: Semantics, Educational Assessment, Evaluators, Reliability
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Yubin Xu; Lin Liu; Jianwen Xiong; Guangtian Zhu – Journal of Baltic Science Education, 2025
As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…
Descriptors: Physics, Artificial Intelligence, Computer Software, Accuracy
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Fangxing Bai; Ben Kelcey – Society for Research on Educational Effectiveness, 2024
Purpose and Background: Despite the flexibility of multilevel structural equation modeling (MLSEM), a practical limitation many researchers encounter is how to effectively estimate model parameters with typical sample sizes when there are many levels of (potentially disparate) nesting. We develop a method-of-moment corrected maximum likelihood…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Sample Size, Faculty Development
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Osama Koraishi – Language Teaching Research Quarterly, 2024
This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Artificial Intelligence
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Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
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John Jerrim; Claudia Prieto-Latorre; Oscar David Marcenaro-Gutierrez; Nikki Shure – American Educational Research Journal, 2025
In this paper we use novel data to test the direct and indirect paths between teacher self-efficacy and student outcomes. This includes how teacher self-efficacy is linked to student, teacher, and expert rater views of lesson quality. Our results illustrate how the link between teacher self-efficacy and instructional quality is sensitive to how…
Descriptors: Self Efficacy, Teaching Methods, Outcomes of Education, Educational Quality
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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
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Yao Lu; Ksenia Gnevsheva – Journal of Multilingual and Multicultural Development, 2024
Previous research that explores the effect of ethnicity in the perception of speaker accentedness and personality traits often finds that Asian appearance contributes to a more accented and less competent impression. Importantly, most of the work done to date employed only Caucasian first language-speaking listeners; moreover, ethnicity and gender…
Descriptors: Pronunciation, Gender Differences, Personality Traits, Korean
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Karim Sadeghi; Neda Bakhshi – International Journal of Language Testing, 2025
Assessing language skills in an integrative form has drawn the attention of assessment experts in recent years. While some research data exists on integrative listening/reading-to-write assessment, there is comparatively little research literature on listening-to-speak integrated assessment. Also, little attention has been devoted to the role of…
Descriptors: Language Tests, Second Language Learning, English (Second Language), Computer Assisted Testing