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Nazira Tursynbayeva; Umur Öç; Ismail Karakaya – International Journal of Assessment Tools in Education, 2024
This study aimed to measure the effect of rater training given to improve the peer assessment skills of secondary school students on rater behaviors using the many-facet Rasch Measurement model. The research employed a single-group pretest-posttest design. Since all raters scored all students, the analyses were carried out in a fully crossed (s x…
Descriptors: Evaluators, Training, Behavior, Peer Evaluation
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Ebru Öztürk; Erol Duran – International Journal of Contemporary Educational Research, 2024
The present study aimed to determine the creative story writing skill levels of seventh grade middle school students. The research is a quantitative research and designed in survey design. The sample of the research consisted of a total of 121 seventh grade middle school students who were determined by convenience sampling technique. The research…
Descriptors: Foreign Countries, Middle School Students, Middle School Teachers, Grade 7
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Belete Hiluf; Marew Alemu – Asian-Pacific Journal of Second and Foreign Language Education, 2024
In recent years, there has been increasing interest in the role of emotional and motivational intelligence in educational settings. Studies have shown that these factors can significantly impact students' academic performance. However, little attention has been given to the influence of emotional and motivational intelligence on writing…
Descriptors: Factor Analysis, Scoring Rubrics, Writing Evaluation, Correlation
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Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – Informatics in Education, 2024
The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…
Descriptors: Artificial Intelligence, Measures (Individuals), Test Reliability, Test Validity
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Hurley, Kimberly S.; Burt, Tam L. – Strategies: A Journal for Physical and Sport Educators, 2020
This article describes what are best coaching practices in assessing the variety of physical, psychological, and social skills that may help in narrowing down your tryout pool. Effective, objective, equitable team selection will be significantly enhanced with the use of performance rubrics.
Descriptors: Scoring Rubrics, Selection, Teamwork, Physical Education
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Zehavit Kohen; Liron Schwartz-Aviad; Tomer Peleg – International Journal of Mathematical Education in Science and Technology, 2025
This study examines a Technology, Pedagogy, Content Knowledge (TPACK) training framework for pre- and in-service mathematics teachers that enables them to experience inquiry-based learning as learners in a dynamic geometry environment that serves as a mathematics laboratory. We investigate the effect of this experience on the teachers' TPACK,…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Teachers, Preservice Teachers
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Franco-Mariscal, Antonio-Joaquín; Cebrián-Robles, Daniel; Rodríguez-Losada, Noela – Technology, Knowledge and Learning, 2023
Social constructivism is a learning approach in which students actively construct their own knowledge by way of experiences and interactions with others. As such, it is important to highlight both individual and group-based reflection practices in pre-service teacher training as a key aspect for improving teaching practice. This paper presents the…
Descriptors: Gamification, Preservice Teachers, Secondary School Teachers, Science Teachers
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Chambers, Alex Wayne; Harkins Monaco, Elizabeth A. – Journal of the Scholarship of Teaching and Learning, 2023
Self-assessment is a formative process where students evaluate the quality of their own work. This paper describes a strategy for using student created rubrics as self-assessment tools to increase student engagement. Initially, the instructor models how to identify criteria for mastery in an assignment. This is followed by students in small groups…
Descriptors: Learner Engagement, Self Evaluation (Individuals), Scoring Rubrics, Student Developed Materials
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Adler, Rachel F.; Hibdon, Joseph; Kim, Hanna; Mayle, Scott; Pines, Brittany; Srinivas, Sudha – Education and Information Technologies, 2023
In order to assess computational thinking (CT) modules embedded into multiple STEM courses for educators, we created a CT rubric which incorporates key CT components using Bloom's Taxonomy. We implemented the rubric in four different courses in our pre-service STEM education program for elementary and middle school teachers. We analyzed our rubric…
Descriptors: Computation, Thinking Skills, STEM Education, Preservice Teachers
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Mang, Ha My Anna; Chu, Hye-Eun; Martin, Sonya N.; Kim, Chan-Jong – Research in Science Education, 2023
This multi-phase study designed a program evaluation rubric which used a qualitative rating system to help teachers identify key learning goals, dimensions, and principles related to the socio-scientific issues (SSI)-based science, technology, engineering, arts and mathematics (STEAM) approach for science education. This rubric contains 37…
Descriptors: Test Construction, Scoring Rubrics, Science and Society, STEM Education
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Mason C. McNair; Chelsea M. Sexton; Mark Zenoble – Journal of College Science Teaching, 2023
Following the switch to remote online teaching in the wake of the COVID-19 pandemic, the plant taxonomy course at the University of Georgia (UGA) switched to iNaturalist for the specimen collection portion of the course requirements. Building off extant rubrics, the instructors designed project guidelines for a fully online plant collection…
Descriptors: Plants (Botany), Electronic Learning, Taxonomy, Course Content
Sirazum Munira Tisha – ProQuest LLC, 2023
Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…
Descriptors: Computer Software, Grading, Programming, Assignments
Alaska Department of Education & Early Development, 2023
The Alaska Science Assessment is administered annually statewide to students in grades 5, 8 and 10 and is a summative assessment designed to measure a student's knowledge of the "K-12 Science Standards for Alaska," which were adopted in June 2019. Summative assessments are designed to provide a snapshot of student, school, or program…
Descriptors: State Standards, Science Education, Elementary Secondary Education, Summative Evaluation
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Lending, Diane; Ezell, Jeremy D.; Dillon, Thomas W.; May, Jeffrey – Journal of Information Systems Education, 2022
Eliciting effective requirements is vital for successful Information Systems development and implementation. Interviews with stakeholders and users are an important part of the requirements elicitation process. Thus, teaching students how to better perform requirements elicitation interviews is a critical task for information systems faculty.…
Descriptors: Scoring Rubrics, Interviews, Skills, Summative Evaluation
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Friedman, Alon – Biochemistry and Molecular Biology Education, 2022
The R programming language and computing environment is a powerful and common platform used by life science researchers and educators for the analysis of big data. One of the benefits of using R in this context is its ability to visualize the results. Using R to generate visualizations has gained in popularity due to the increased number of R…
Descriptors: Visual Aids, Peer Evaluation, Scoring Rubrics, Programming Languages
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