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Zhao, Li; Zheng, Yi; Zhao, Junbang; Li, Guoqiang; Compton, Brian J.; Zhang, Rui; Fang, Fang; Heyman, Gail D.; Lee, Kang – Child Development, 2023
Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean…
Descriptors: Cheating, Elementary School Students, Artificial Intelligence, Foreign Countries
Zhao, Li; Li, Yingying; Sun, Wenjin; Zheng, Yi; Harris, Paul L. – Developmental Science, 2023
There is extensive research on the development of cheating in early childhood but research on how to reduce it is rare. The present preregistered study examined whether telling young children about a story character's emotional reactions towards cheating could significantly reduce their tendency to cheat (N = 400; 199 boys; Age: 3-6 years).…
Descriptors: Psychological Patterns, Ethics, Cheating, Incidence
Teachers Gaming the System: Exploring Opportunistic Behaviours in a Low-Stakes Accountability System
Gerard Ferrer-Esteban; Marcel Pagès – Educational Assessment, Evaluation and Accountability, 2024
Based on the theoretical approaches of social capital and institutional trust, this paper seeks to identify contextual factors and conditions behind teacher behaviours which aim to alter the results of standardised tests in the Italian low-stakes accountability system. Numerous studies report significant factors associated with student cheating,…
Descriptors: Teacher Behavior, Accountability, Standardized Tests, Foreign Countries
Oeri, Niamh – Journal of Cognition and Development, 2022
The study aimed to examine the difference between cheating and persistence during a persistence task to advance persistence measurement. Through a within-subject design (N = 78, mean age: 5.2 years), two different versions of the puzzle box task were administered. The original puzzle box task was administered in condition I (i.e., open version).…
Descriptors: Cheating, Persistence, Puzzles, Attention
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
Peng, Luyao; Sinharay, Sandip – Educational and Psychological Measurement, 2022
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of…
Descriptors: Cheating, Identification, Statistical Analysis, Testing
Fritz, Tanja; González Cruz, Hernán; Janke, Stefan; Daumiller, Martin – Educational Psychology Review, 2023
Academic dishonesty is a pervasive problem undermining the effectiveness of educational institutions. From a motivational perspective, researchers have proposed achievement goals as antecedents of academic dishonesty. Empirical findings corroborate the notion that mastery goals (focus on learning and competence development) are negatively linked…
Descriptors: Academic Achievement, Goal Orientation, Cheating, Meta Analysis
Štefánia Ferková; Zlatica Zacharová – Acta Educationis Generalis, 2024
Introduction: Academic dishonesty is addressed by various experts in pedagogy and psychology who seek to preserve academic integrity in accordance with the moral and ethical principles of contemporary society. Methods: The intention of the research was to find out how teachers evaluate different types of cheating by students during class, how they…
Descriptors: Ethics, Teacher Attitudes, Cheating, Student Behavior
Pelanek, Radek – Journal of Learning Analytics, 2021
In this work, we consider learning analytics for primary and secondary schools from the perspective of the designer of a learning system. We provide an overview of practically useful analytics techniques with descriptions of their applications and specific illustrations. We highlight data biases and caveats that complicate the analysis and its…
Descriptors: Learning Analytics, Elementary Schools, Secondary Schools, Educational Technology
Sierra-Díaz, Manuel Jacob; González-Víllora, Sixto; Fernandez-Rio, Javier – Journal of Teaching in Physical Education, 2023
Purpose: The goal was twofold: (a) to analyze the evolution of sportspersonship attitudes and negative values along a learning unit using the contextualized sport alphabetization model and (b) to determine the associations between sportspersonship and self-determined motivation. Method: The study followed a preexperimental, cross-sectional design…
Descriptors: Ethics, Physical Education, Grade 4, Elementary School Students
Nai-Ying Whang – SAGE Open, 2023
We explored the moderated mediating effect of the causes of corruption in schools on its consequences through prevention and control promoted by leaders' moral impetus. We surveyed 81 Taiwanese elementary and secondary schools; 1,024 school principals, administrative staff, teachers, and parents completed valid questionnaires, which we analyzed…
Descriptors: Foreign Countries, Elementary Schools, Secondary Schools, Principals
Liu, Kawai – Online Submission, 2022
Although educators are using various ways in evaluating students' learning, traditional paper pencil final exams are usually held at the end of the school year to conclude the course. During the school suspension due to the COVID-19 outbreak, this traditional approach is no longer applicable to some schools. In this article, alternative final…
Descriptors: COVID-19, Pandemics, School Closing, Student Evaluation
Editorial Projects in Education, 2024
Addressing academic integrity in the age of AI is essential to ensure honesty and student success. This Spotlight will help you learn about how educators nationwide are approaching AI in teaching and learning; review data investigating how many students are actually using AI to cheat; examine strategies teachers are using to fight AI cheating;…
Descriptors: Integrity, Artificial Intelligence, Teaching Methods, Computer Software
Kapoor, Hansika; Kaufman, James C. – Journal of Academic Ethics, 2021
Students display resistance in the classroom in numerous ways, often in the form of academic misconduct. Some argue that resistance can reflect cleverness and creativity, rather than apathy. This investigation aimed to develop a psychometric tool to examine classroom resistance as well as identify individual and situational determinants of the…
Descriptors: Cheating, Resistance (Psychology), Elementary School Students, Secondary School Students
New York State Education Department, 2024
The New York State Education Department (NYSED) has a partnership with NWEA for the development of the 2024 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2024 Grades 6 and 7 English Language…
Descriptors: Language Tests, Test Format, Language Arts, English Instruction
New York State Education Department, 2023
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed as written so that testing…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
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