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Shengqing He; Chen Chen – International Journal of Science and Mathematics Education, 2025
Students expose various intuitions in probability comparison and calculation tasks. Large volumes of research looked into these intuitions by categorizing learners' strategies, but fewer studies considered how these intuitions may be associated with learners' judgments. Even fewer examined the mixed effects of multiple intuitions held by the same…
Descriptors: Foreign Countries, Middle School Mathematics, Middle School Students, Mathematics Instruction
Madu, Sadie A. – ProQuest LLC, 2023
Discipline disparities are driven by classroom teachers' decisions to refer a student for disciplinary action "and" by school administrators' decisions in response to those referrals (Amos, 2021). In this qualitative study, the researcher will explore educators' perceptions on the disparity in discipline referrals and evaluate…
Descriptors: Discipline, Bias, Referral, Grade 9
Busch, K. C. – Environmental Education Research, 2021
In US school settings and materials, climate change is often framed as an uncertain phenomenon. However, the effect of such denialist representations on youth's perceptions of climate change has not been empirically tested. To address this gap in the literature, this article reports on a survey-based experiment testing two framings of uncertainty…
Descriptors: Textbook Evaluation, Climate, Environmental Education, Middle School Students
Christou, Konstantinos P.; Vamvakoussi, Xenia – Mathematics Education Research Journal, 2023
Over the last years, there is a growing interest in studying students' difficulties with rational numbers from a cognitive/developmental perspective, focusing on the role of prior knowledge in students' understanding of rational numbers. The present study tests the effect of the "whole" or "natural number bias" (i.e., the…
Descriptors: Number Concepts, Bias, Multiplication, Division
Zhang, Helen; Lee, Irene; Ali, Safinah; DiPaola, Daniella; Cheng, Yihong; Breazeal, Cynthia – International Journal of Artificial Intelligence in Education, 2023
The rapid expansion of artificial intelligence (AI) necessitates promoting AI education at the K-12 level. However, educating young learners to become AI literate citizens poses several challenges. The components of AI literacy are ill-defined and it is unclear to what extent middle school students can engage in learning about AI as a…
Descriptors: Artificial Intelligence, Digital Literacy, Ethics, Middle School Students
Matt Moulton – Middle Grades Review, 2023
In middle grades education, advisory programs are structured, intentional, and supportive environments that assign 10 to 20 students to an adult advisor (most often a teacher) who serves as a mentor, advocate, and guide throughout their middle school years. Advisory programs promote community and personalized support in middle schools. In addition…
Descriptors: Culturally Relevant Education, Academic Advising, Middle Schools, Equal Education
Mertens, Gillian E. – Middle School Journal, 2023
How do students make sense of sources encountered during online inquiry, when the source types can be as varied as the topics themselves? This paper presents findings from a multiple-case study exploring how four 8th grade students evaluated source credibility while engaged in independent research during an inquiry-based information literacy…
Descriptors: Grade 8, Information Sources, Credibility, Information Literacy
Tina Marie Medina – ProQuest LLC, 2024
This study focused on automaticity, or the choices we make without conscious thought. Specifically, the study examined how math teachers improved their understanding of the practice and evolution of culturally responsive teaching by analyzing the lived experiences and metacognition of practicing middle school teachers as they assess student work…
Descriptors: Bias, Grading, Student Evaluation, Mathematics Teachers
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Matta, Michael; Mercer, Sterett H.; Keller-Margulis, Milena A. – School Psychology, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Myers, John P. – Journal of Visual Literacy, 2023
Preparing students for informed democratic citizenship by learning about contemporary political and social issues requires the ability to critically evaluate online data visualisations. This study examines 25 social studies teachers' perceptions of online data visualisations as informational resources for teaching, and how these perceptions…
Descriptors: Social Studies, Visual Aids, Misconceptions, Bias
Kim, Isak; Burgess, Deanna; Chatters, Seria Shia – Journal of School Health, 2023
Background: As COVID-19 has let many students into remote learning environments and exacerbated inequality among marginalized individuals, there is a growing concern about Bias-Based Bullying (BBB) in online spaces among school-aged youths. Learning modality and perceived school fairness may affect youth's likelihood of reporting BBB. Methods:…
Descriptors: COVID-19, Pandemics, Distance Education, Bias
Arif Rachmatullah; Jessica Vandenberg; Sein Shin; Eric Wiebe – ACM Transactions on Computing Education, 2023
The current study compared American, Korean, and Indonesian middle and high school students' CS attitudes. Concurrently, this study also examined whether the items in the CS attitudes scale exhibit country and gender measurement biases. We gathered data on CS attitudes from middle and high school students in the US, Korea, and Indonesia. The…
Descriptors: Foreign Countries, Middle School Students, High School Students, Computer Science
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Soland, James – Educational and Psychological Measurement, 2022
Considerable thought is often put into designing randomized control trials (RCTs). From power analyses and complex sampling designs implemented preintervention to nuanced quasi-experimental models used to estimate treatment effects postintervention, RCT design can be quite complicated. Yet when psychological constructs measured using survey scales…
Descriptors: Item Response Theory, Surveys, Scoring, Randomized Controlled Trials
Guo, Jiajun; Tong, Yao; Pang, Weiguo – Journal of Creative Behavior, 2021
Teachers can be biased, especially toward low achievers and students with behavioral issues. However, creative students often appear to be disruptive in the classroom, and many of them struggle academically. The purpose of the present study was to examine the extent to which teachers' perceptions of students' creativity is associated with…
Descriptors: Teacher Attitudes, Creativity, Foreign Countries, Academic Achievement