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Direct linkBaldassari, Mario J.; Moore, Kara N.; Hyman, Ira E., Jr.; Hope, Lorraine; Mah, Eric Y.; Lindsay, D. Stephen; Mansour, Jamal; Saraiva, Renan; Horry, Ruth; Rath, Hannah; Kelly, Lauren; Jones, Rosie; Vale, Shannan; Lawson, Bethany; Pedretti, Josh; Palma, Tomás A.; Cruz, Francisco; Quarenta, Joana; Van der Cruyssen, Ine; Mileva, Mila; Allen, Jessica; Jeye, Brittany; Wiechert, Sara – Cognitive Research: Principles and Implications, 2023
Research on eyewitness identification often involves exposing participants to a simulated crime and later testing memory using a lineup. We conducted a systematic review showing that pre-event instructions, instructions given before event exposure, are rarely reported and those that are reported vary in the extent to which they warn participants…
Descriptors: Memory, Audiences, Attention, Observation
Rensing, Daune Marie – ProQuest LLC, 2023
Learning about antiracism can be an emotional and isolating process for white people. With most research focusing on the experiences of undergraduates (Schooley, Lee, & Spanierman, 2019), the experiences of adults committed to this lifestyle are often ignored. This study uses narrative inquiry to examine the experiences of four white women in…
Descriptors: Whites, Females, Reflection, Racism
McKinley, Geoffrey L.; Peterson, Daniel J. – Cognitive Research: Principles and Implications, 2023
When selecting fillers to include in a police lineup, one must consider the level of similarity between the suspect and potential fillers. In order to reduce misidentifications, an innocent suspect should not stand out. Therefore, it is important that the fillers share some degree of similarity. Importantly, increasing suspect-filler similarity…
Descriptors: Identification, Human Body, Models, Crime
Patton, Colleen E.; Wickens, Christopher D.; Smith, C. A. P.; Noble, Kayla M.; Clegg, Benjamin A. – Cognitive Research: Principles and Implications, 2023
In a dynamic decision-making task simulating basic ship movements, participants attempted, through a series of actions, to elicit and identify which one of six other ships was exhibiting either of two hostile behaviors. A high-performing, although imperfect, automated attention aid was introduced. It visually highlighted the ship categorized by an…
Descriptors: Intention, Psychological Patterns, Identification, Automation
Holmes, Langdon; Crossley, Scott; Sikka, Harshvardhan; Morris, Wesley – Information and Learning Sciences, 2023
Purpose: This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text. Design/methodology/approach: The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated…
Descriptors: Open Source Technology, Automation, Identification, Confidentiality
Jennifer Keating; Cathryn Knight; Alexandra Sandu; Robert French – British Journal of Educational Psychology, 2025
Background: Previous national and international research has investigated potential patterns of SEN identification, in which there may be overrepresentation of males, individuals from lower socio-economic backgrounds, and pupils attending schools in economically disadvantaged areas. Aims: The aim of the current study is to link administrative…
Descriptors: Disability Identification, Special Education, Family Characteristics, Institutional Characteristics
Alessia Rosa; Claudia Chellini – Journal of Media Literacy Education, 2025
Representations of diversity and otherness in cartoons offer metaphors for identity that can affect children's perceptions and attitudes towards the potential and challenges associated with various forms of disability. This contribution analyses a corpus of animations made up of feature films, series, and short films with a focus on how disability…
Descriptors: Cartoons, Films, Attitudes toward Disabilities, Physical Disabilities
Ishtiaque Fazlul; Cory Koedel; Eric Parsons – Educational Evaluation and Policy Analysis, 2025
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: At Risk Students, Public Schools, Identification, Academic Achievement
Peer reviewedMegan N. Imundo; Maria Goldshtein; Micah Watanabe; Jiachen Gong; Nicole Crosby; Tracy Arner; Rod D. Roscoe; Danielle S. McNamara – Grantee Submission, 2025
Academic Status Reports (ASRs) are submitted by an instructor to indicate that a student is succeeding in the course or, more commonly, that the instructor is concerned about their progress or participation in the course (e.g., not attending class or not submitting assignments). ASR notifications are sent to students and may also be shared with…
Descriptors: Undergraduate Students, Academic Achievement, Identification, Early Intervention
R. K. Kapila Vani; P. Jayashree – Education and Information Technologies, 2025
Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…
Descriptors: Electronic Learning, Psychological Patterns, Artificial Intelligence, Models
Katharine M. Bailey; Nancie Im-Bolter – Learning Disability Quarterly, 2025
Children with specific learning disorder (SLD) have poor academic skills, but they also experience difficulties with their peers, including an inability to recognize interpersonal conflict, infer emotion, and resolve social conflict. In addition, children with SLD are known to have problems with language. The importance of language to social…
Descriptors: Cognitive Processes, Learning Disabilities, Social Cognition, Language Acquisition
Download full textAashna Shah; Kennedy Balzen; Ryan M. Hill; Danielle Busby; Jennifer Brown; Estefania Fernandez; Ntsoaki F. Tadi; Carla Sharp – Journal of Applied Research on Children, 2025
Against the background of increasing rates of suicide among Black youth, researchers have identified the relation Black youth have to their identity as an important factor that may provide insight into the risk of suicide in this population. Preliminary work suggests that racial identity might serve as a protective factor for psychological…
Descriptors: African Americans, Racial Identification, Suicide, Psychological Patterns
Hollis R. Heim; Kara Lowery; Rachel Eddings; Bhoomika Nikam; Anastasia Kerr-German; Aaron T. Buss – Journal of Cognition and Development, 2024
Previous research suggests that children's ability to label visual features (e.g. "red") and dimensions (e.g. "color") impacts attention to visual dimensions. The goal of this study is to investigate variations in the quality of the neural system supporting dimensional label comprehension and production in relation to…
Descriptors: Children, Identification, Visual Stimuli, Color
Rick Somers; Sam Cunningham; Sarah Dart; Sheona Thomson; Caslon Chua; Edmund Pickering – IEEE Transactions on Learning Technologies, 2024
Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g., text matching) are largely ineffective for combatting misconduct in programming and mathematics-based assessments. For these…
Descriptors: Assignments, Automation, Identification, Technology Uses in Education
Giora Alexandron; Aviram Berg; Jose A. Ruiperez-Valiente – IEEE Transactions on Learning Technologies, 2024
This article presents a general-purpose method for detecting cheating in online courses, which combines anomaly detection and supervised machine learning. Using features that are rooted in psychometrics and learning analytics literature, and capture anomalies in learner behavior and response patterns, we demonstrate that a classifier that is…
Descriptors: Cheating, Identification, Online Courses, Artificial Intelligence
