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André Moura; Amândio Graça; Ann MacPhail; Paula Batista – European Journal of Teacher Education, 2024
Enacting Assessment for Learning (AfL) is challenging for teachers and even more for Preservice Teachers (PSTs). The support for those attempting to enact it has been considered insufficient and/or inadequate. This study aims to examine how positioning preservice teachers as practitioner researchers while belonging to a learning community can…
Descriptors: Preservice Teachers, Evaluation Methods, Student Evaluation, Feedback (Response)
Hope Barr – ProQuest LLC, 2024
Participating in professional learning and seeking professional growth opportunities are characteristics of effective teachers (Guskey, 2000; Polk, 2006). This study investigated how a teacher evaluation system can promote and encourage the professional growth of teachers. Specifically, the study sought to provide a better understanding of how…
Descriptors: Teacher Attitudes, Faculty Development, Goal Orientation, Teacher Effectiveness
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Rowan Oberman – British Educational Research Journal, 2024
Pekrun and his colleagues highlight the significance and diversity of emotion in education. Their analysis suggests that these emotions can be categorised by their stimuli into those related to the classroom: activities, outcomes, relationships, topics and knowledge processes (epistemic). Most research in this area has focused on achievement…
Descriptors: Children, Emotional Response, Climate, Environmental Education
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Shen Ba; Xiao Hu; David Stein; Qingtang Liu – British Journal of Educational Technology, 2024
Accurate assessment and effective feedback are crucial for cultivating learners' abilities of collaborative problem-solving and critical thinking in online inquiry-based discussions. Based on quantitative content analysis (QCA), there has been a methodological evolvement from descriptive statistics to sequential mining and to network analysis for…
Descriptors: Electronic Learning, Discussion, Learning Trajectories, Thinking Skills
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Reeta Neittaanmäki; Iasonas Lamprianou – Language Testing, 2024
This article focuses on rater severity and consistency and their relation to major changes in the rating system in a high-stakes testing context. The study is based on longitudinal data collected from 2009 to 2019 from the second language (L2) Finnish speaking subtest in the National Certificates of Language Proficiency in Finland. We investigated…
Descriptors: Foreign Countries, Interrater Reliability, Evaluators, Item Response Theory
Brittni Knebel Kalich – ProQuest LLC, 2024
This study examined video and screenshot microlesson formats as a technology professional development for enhancing educators' technology skills. As educators face increasing demands for technology proficiency in the twenty-first century classroom, this study was conducted to help address a need for further investigation into whether screenshot or…
Descriptors: Technological Literacy, Faculty Development, Video Technology, Visual Aids
Karikarn Chansiri; Xinyu Wei; Tiffany Burkhardt; Reiko Kakuyama-Villaber; Mary Sue Morsch; Ka Ho Brian Chor – Chapin Hall at the University of Chicago, 2024
This research brief summarizes hybrid survey findings about the Illinois child welfare workforce in three key areas: (1) the demographic characteristics and professional experiences of child welfare workers, (2) the emotional responses of workers to their jobs, as reflected in the language patterns of their survey comments, and (3) the needs and…
Descriptors: Child Welfare, Caseworkers, Individual Characteristics, Work Experience
Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazan; Amber Benedict – Grantee Submission, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
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Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazán; Amber Benedict – Applied Measurement in Education, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
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Xiaolong Cheng; Lawrence Jun Zhang; Qiaozhen Yan – Language Teaching Research, 2025
As an important instructional affordance, teacher written feedback is widely used in second language (L2) writing contexts. While copious evidence has shown that such a pedagogical practice can facilitate L2 learners' writing performance, especially their writing accuracy, little is known about how novice writing teachers conceptualize and enact…
Descriptors: English (Second Language), Second Language Instruction, Feedback (Response), Teacher Response
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Abbas Hadizadeh; Mehmet Kanik – European Journal of Education, 2025
This qualitative study explores the perceptions and conceptions of academic writing among 14 ELT students in an English medium instruction (EMI) context at an international university in Northern Cyprus, an under-researched setting. The study revealed that participants faced a variety of challenges and employed strategic approaches that created…
Descriptors: Undergraduate Students, Student Attitudes, Knowledge Level, Academic Language
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Sengül Avsar, Asiye – Measurement: Interdisciplinary Research and Perspectives, 2020
In order to reach valid and reliable test scores, various test theories have been developed, and one of them is nonparametric item response theory (NIRT). Mokken Models are the most widely known NIRT models which are useful for small samples and short tests. Mokken Package is useful for Mokken Scale Analysis. An important issue about validity is…
Descriptors: Response Style (Tests), Nonparametric Statistics, Item Response Theory, Test Validity
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Hong, Maxwell; Steedle, Jeffrey T.; Cheng, Ying – Educational and Psychological Measurement, 2020
Insufficient effort responding (IER) affects many forms of assessment in both educational and psychological contexts. Much research has examined different types of IER, IER's impact on the psychometric properties of test scores, and preprocessing procedures used to detect IER. However, there is a gap in the literature in terms of practical advice…
Descriptors: Responses, Psychometrics, Test Validity, Test Reliability
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Bulut, Okan; Bulut, Hatice Cigdem; Cormier, Damien C.; Ilgun Dibek, Munevver; Sahin Kursad, Merve – Educational Assessment, 2023
Some statewide testing programs allow students to receive corrective feedback and revise their answers during testing. Despite its pedagogical benefits, the effects of providing revision opportunities remain unknown in the context of alternate assessments. Therefore, this study examined student data from a large-scale alternate assessment that…
Descriptors: Error Correction, Alternative Assessment, Feedback (Response), Multiple Choice Tests
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Paganin, Sally; Paciorek, Christopher J.; Wehrhahn, Claudia; Rodríguez, Abel; Rabe-Hesketh, Sophia; de Valpine, Perry – Journal of Educational and Behavioral Statistics, 2023
Item response theory (IRT) models typically rely on a normality assumption for subject-specific latent traits, which is often unrealistic in practice. Semiparametric extensions based on Dirichlet process mixtures (DPMs) offer a more flexible representation of the unknown distribution of the latent trait. However, the use of such models in the IRT…
Descriptors: Bayesian Statistics, Item Response Theory, Guidance, Evaluation Methods
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