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Rashné R. Jehangir; Terra J. Molengraff – Journal of Student Affairs Research and Practice, 2024
This study focuses on how first-generation college students understand their first-generation identity in relation to their other multiple identities. Through photovoice methodology, students demonstrate the meaning making of being first-generation college students related to their other social identities. This study discusses four themes: (a)…
Descriptors: First Generation College Students, Self Concept, Identification (Psychology), Group Membership
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Andres Felipe Zambrano; Shreya Singhal; Maciej Pankiewicz; Ryan Shaun Baker; Chelsea Porter; Xiner Liu – Information and Learning Sciences, 2025
Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…
Descriptors: Artificial Intelligence, Identification, Privacy, Information Security
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Yones Romiani; Saeed Farahbakhsh – Journal of Applied Research in Higher Education, 2024
Purpose: This study aimed to develop a model for identifying talented faculties in regional universities. Design/methodology/approach: In this study, the systematic grounded theory (GT) approach has been used. The research population consisted of academic and scientific experts of higher education system who had more knowledge about the subject of…
Descriptors: Talent Identification, College Faculty, Talent Development, Teacher Recruitment
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Pu Wang; Yifeng Lin; Tiesong Zhao – Education and Information Technologies, 2025
With the emergence of Artificial Intelligence (AI), smart education has become an attractive topic. In a smart education system, automated classrooms and examination rooms could help reduce the economic cost of teaching, and thus improve teaching efficiency. However, existing AI algorithms suffer from low surveillance accuracies and high…
Descriptors: Supervision, Artificial Intelligence, Technology Uses in Education, Automation
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Andrew Guertler; Beth Maust; Kane Nashimoto; Phyllis Adams Mathews – Journal of American College Health, 2025
Objective: Define microbiological characteristics of pathogens causing lower urinary tract infections (LUTI), frequency of "Chlamydia trachomatis" (CT) or "Neisseria gonorrhea" (GC), and accuracy of self-diagnosis by college women with LUTI symptoms. Participants: Sexually active women with LUTI symptoms attending a large…
Descriptors: Microbiology, Sexually Transmitted Diseases, College Students, Females
Carly Busch – ProQuest LLC, 2024
Similar-identity role models, including instructors, can benefit science undergraduates by enhancing their self-efficacy and sense of belonging. However, for students to have similar-identity role models based on identities that can be hidden, instructors need to disclose their identities. For concealable stigmatized identities (CSIs) - identities…
Descriptors: Undergraduate Students, Role Models, Identification (Psychology), Self Concept
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
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Megan 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
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R. Harrad; R. Keasley; L. Jefferies – Higher Education Research and Development, 2024
Academic misconduct and academic integrity are issues of importance to Higher Education Institutions (HEIs). Phraseologies and practices may conflate unintentional mistakes with attempts to gain illegitimate advantage, with some groups potentially at higher risk. HEIs across the United Kingdom (UK) responded to a Freedom of Information Act (FOI)…
Descriptors: Integrity, Cheating, College Students, Student Characteristics
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Katharine Elizabeth Hubbard – Higher Education: The International Journal of Higher Education Research, 2024
Equity is increasingly seen as a core value for higher education systems around the world. (In)equity is often measured through construction of achievement gaps, quantifying the relative outcomes of two populations of students. Institution-level gaps are embedded in the policy landscape of HE, becoming performance metrics in their own right. These…
Descriptors: Equal Education, Achievement Gap, Identification, Measurement Techniques
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Allison M. Birnschein; Olivia F. Ward; Amaya B. McClain; Rachel L. Harmon; Courtney A. Paisley; Michelle Stevens; Theodore S. Tomeny – Journal of Autism and Developmental Disorders, 2025
In studies that assess perceptions of autistic people by non-autistic people, researchers often ask participants to review vignettes depicting fictional autistic characters. However, few studies have investigated whether non-autistic peers accurately identify these hypothetical individuals as being on the autism spectrum. Accurately ascribing…
Descriptors: Autism Spectrum Disorders, Behavior, College Students, Attitudes toward Disabilities
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H. Murch; M. Worley; F. Volk – Journal of Academic Ethics, 2025
Academic misconduct is a prevalent issue in higher education with detrimental effects on the individual students, rigor of the program, and strength of the workplace. Recent advances in artificial intelligence (AI) have reinvigorated concern over academic integrity and the potential use and misuse of AI. However, there is a lack of research on…
Descriptors: Incidence, Artificial Intelligence, Technology Uses in Education, Plagiarism
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Sarah Dekeyser; Gaëtane Caesens; Vanessa Hanin – Psychology in the Schools, 2025
This study investigates preservice teachers' profiles of intrapersonal emotional competencies (ECs) and their associations with perceived stress, anxiety, and emotional exhaustion during the practicum. Three hundred twenty-six Belgian preservice teachers completed questionnaires on ECs, stress, anxiety, and emotional exhaustion. Latent Profile…
Descriptors: Preservice Teachers, Profiles, Emotional Intelligence, Competence
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Babette Bühler; Efe Bozkir; Patricia Goldberg; Ömer Sümer; Sidney D'Mello; Peter Gerjets; Ulrich Trautwein; Enkelejda Kasneci – International Journal of Artificial Intelligence in Education, 2025
Student's shift of attention away from a current learning task to task-unrelated thought, also called mind wandering, occurs about 30% of the time spent on education-related activities. Its frequent occurrence has a negative effect on learning outcomes across learning tasks. Automated detection of mind wandering might offer an opportunity to…
Descriptors: Attention, Automation, Identification, Video Technology
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David Wees – Natural Sciences Education, 2024
Requiring students to create weed collections is a common technique for teaching weed identification. Data compiled over 18 years from students' weed collections in a college-level course included over 350 species of plants. Almost half of the specimens belonged to the Asteraceae or Poaceae. The 30 most frequently collected species accounted for…
Descriptors: Agricultural Education, Plants (Botany), Identification, Teaching Methods
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