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Examining School Principals' and Teachers' Perceptions of Using ChatGPT in Education
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Yasemin Cetin; Özgür Tas; Halil Alakus; Halil Ibrahim Kaplan – Educational Process: International Journal, 2024
Background/purpose: ChatGPT has become one of the groundbreaking examples of artificial intelligence-based chatbots with its capacity to produce texts and engage in human-like conversations. Therefore, it has garnered the attention of people with diverse backgrounds, including educational professionals. The current study aims to investigate how…
Descriptors: Principals, Administrator Attitudes, Teacher Attitudes, Artificial Intelligence
Examining the Utility of Scoring Modifications as a Culturally Responsive Approach to Language Assessment of Speakers of African American English. EBP Briefs. Volume 16, Issue 4
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Lakeisha Johnson; Shaylyn King-St. Remy; Jasmine Smith – EBP Briefs (Evidence-based Practice Briefs), 2024
Clinical Question: Among school-age children who speak AAE (P), does the use of dialect scoring modifications (I), when compared to traditional scoring methods (C), yield more reliable identification of true language disorders (O)? Method: Structured Review. Study Sources: Google Scholar and ASHAWire. Search Terms: (1) "dialect" OR…
Descriptors: Culture Fair Tests, Black Dialects, African American Students, Scoring
Effects of "Context-Optimization" on the Acquisition of Grammatical Case in Children with Specific Language Impairment: An Experimental Evaluation in the Classroom
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Motsch, Hans-Joachim; Riehemann, Stephanie – International Journal of Language & Communication Disorders, 2008
Background: Disorders in the acquisition of morphological agreement phenomena, e.g. case marking, are characteristic of German children with specific language impairment (SLI). Although the success of individual therapy has already been documented, there are general doubts about the success of grammar facilitation in the classroom. Aims: To…
Descriptors: Experimental Groups, Control Groups, Language Impairments, Criticism
Proceedings of the Seventh International Conference on Educational Data Mining (EDM) (7th, London, United Kingdom, July 4-7, 2014)
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Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection