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Balfe, Catherine; Button, Patrick; Penn, Mary; Schwegman, David J. – Field Methods, 2023
Audit correspondence studies are field experiments that test for discriminatory behavior in active markets. Researchers measure discrimination by comparing how responsive individuals ("audited units") are to correspondences from different types of people. This article elaborates on the tradeoffs researchers face between sending audited…
Descriptors: Field Studies, Experiments, Audits (Verification), Researchers
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Wold, Cheryl; Neville, Alan; Monaghan-Geernaert, Pamela – Journal of the American Academy of Special Education Professionals, 2023
Native American students appear to be overrepresented in the special education population of PreK-12 schools. In 2021, the National Center for Education Statistics (NCES) reported that a higher percentage of American Indian/Alaska Native children were served by the Individuals with Disabilities Education Act (IDEA) than children in any other…
Descriptors: Sample Size, Disproportionate Representation, Student Experience, American Indian Students
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Offermans, Julia E.; de Bruin, Esther I.; Lange, Aurelie M. C.; Middeldorp, Christel M.; Wesseldijk, Laura W.; Boomsma, Dorret I.; Dieleman, Gwen C.; Bögels, Susan M.; van Steensel, Francisca J. A. – Journal of Autism and Developmental Disorders, 2023
The first aim of this study was to construct/validate a subscale--with cut-offs considering gender/age differences--for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL…
Descriptors: Check Lists, Child Behavior, Autism Spectrum Disorders, Screening Tests
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Christiansen, Audrey; Minich, Nori M.; Clark, Marie – Journal of Autism and Developmental Disorders, 2023
This piliot study assessed the experiences of police officers related to persons with Autism Spectrum Disorder (ASD) via a survey assessing prior experience, comfort, knowledge, and ability to identify autistic persons. Fifty-one officers completed the survey: 52.9% reported previous ASD training, 34.8% reported personal experience with ASD, and…
Descriptors: Police, Attitudes toward Disabilities, Autism Spectrum Disorders, Prior Learning
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Zhao, Zhong; Wei, Jiwei; Xing, Jiayi; Zhang, Xiaobin; Qu, Xingda; Hu, Xinyao; Lu, Jianping – Journal of Autism and Developmental Disorders, 2023
This study segmented the time series of gaze behavior from nineteen children with autism spectrum disorder (ASD) and 20 children with typical development in a face-to-face conversation. A machine learning approach showed that behavior segments produced by these two groups of participants could be classified with the highest accuracy of 74.15%.…
Descriptors: Children, Autism Spectrum Disorders, Symptoms (Individual Disorders), Eye Movements
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Ramaswami, Gomathy; Susnjak, Teo; Mathrani, Anuradha; Umer, Rahila – Technology, Knowledge and Learning, 2023
Learning analytics dashboards (LADs) provide educators and students with a comprehensive snapshot of the learning domain. Visualizations showcasing student learning behavioral patterns can help students gain greater self-awareness of their learning progression, and at the same time assist educators in identifying those students who may be facing…
Descriptors: Prediction, Learning Analytics, Learning Management Systems, Identification
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Kaur, Jasjeet; Sodhi, Gurvinder S. – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2023
It may be asserted that there is no more effective deterrent to crime than the certainty of detection. Equally true is that there is no surer way to establishing identity than by fingerprints. The detection of fingerprints at the scene of crime is therefore one of the most powerful tools available in casework investigations. However, if the crime…
Descriptors: Crime, Evidence, Law Enforcement, Water
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Mettarikanon, Dichitchai; Tawanwongsri, Weeratian; Wanchai, Adisak; Chookerd, Naparat – Contemporary Educational Technology, 2023
Cutaneous malignancy is one of the leading causes of cancer-related morbidities and mortalities. Patient self-screening is helpful for early detection. Among educational pedagogies, game-based learning (GBL) has received increasing attention in recent years. We appraised the effectiveness of GBL, using Wordwall, to enhance cognitive performances…
Descriptors: Comparative Analysis, Instructional Effectiveness, Game Based Learning, Pamphlets
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Svensson, Christina Elisabet – Cogent Education, 2023
Previous studies highlight the importance of investigate the construction in video-recorded learning situations. The aim of this study is to investigate how video-recordings can be used to enhance pre-service teachers' abilities to identify children's exploration of mathematics in preschools. Even if some previous studies have focused the use of…
Descriptors: Video Technology, Preservice Teachers, Mathematics Activities, Identification
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Yunilda, Erva; Gunardi, Hartono; Medise, Bernie Endyarni; Oswari, Hanifah – Infant and Child Development, 2023
Identifying children with developmental disabilities is critical in providing early intervention services. This study aimed to evaluate the concurrent validity information of the 24-, 30-, and 36-month Indonesian Ages and Stages Questionnaires third edition (ASQ-3) with Bayley Scales of Infant and Toddler Development 3rd Edition (BSID-III) in…
Descriptors: Foreign Countries, Indonesian, Child Development, Questionnaires
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Ilagan, Michael John; Falk, Carl F. – Educational and Psychological Measurement, 2023
Administering Likert-type questionnaires to online samples risks contamination of the data by malicious computer-generated random responses, also known as bots. Although nonresponsivity indices (NRIs) such as person-total correlations or Mahalanobis distance have shown great promise to detect bots, universal cutoff values are elusive. An initial…
Descriptors: Likert Scales, Questionnaires, Artificial Intelligence, Identification
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Liu, Chengyuan; Doshi, Divyang; Shang, Ruixuan; Cui, Jialin; Jia, Qinjin; Gehringer, Edward – Journal of Educational Data Mining, 2023
A peer-assessment system provides a structured learning process for students and allows them to write textual feedback on each other's assignments and projects. This helps instructors or teaching assistants perform a more comprehensive evaluation of students' work. However, the contribution of peer assessment to students' learning relies heavily…
Descriptors: Peer Evaluation, Student Evaluation, Feedback (Response), Educational Quality
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Beck, Christopher W.; Cole, Megan F.; Gerardo, Nicole M. – Journal of Microbiology & Biology Education, 2023
Course-based undergraduate research experiences (CUREs) rapidly have become more common in biology laboratory courses. The effort to implement CUREs has stimulated attempts to differentiate CUREs from other types of laboratory teaching. The Laboratory Course Assessment Survey (LCAS) was developed to measure students' perceptions of how frequently…
Descriptors: Qualifications, Undergraduate Students, Student Research, Student Experience
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Hill, John; Smith, Karen – Technology, Pedagogy and Education, 2023
Although higher education has engaged in blended learning since the early 1990s and its benefits are well catalogued, research often focuses on individual programmes and less on how institutions envision and engage with it to enhance learning and teaching. This article provides a pre-COVID 19 pandemic snapshot of cross-institutional UK policy and…
Descriptors: Blended Learning, Identification, Foreign Countries, Educational Policy
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Omer, Uzma; Tehseen, Rabia; Farooq, Muhammad Shoaib; Abid, Adnan – Education and Information Technologies, 2023
Learning analytics (LA) is a significant field of study to examine and identify difficulties the novice programmers face while learning how to program. Despite producing notable research by the community in the specified area, rare work is observed to synthesize these research efforts and discover the dimensions that guide the future research of…
Descriptors: Programming, Learning Analytics, Educational Research, Data
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