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Steven R. Mason – ProQuest LLC, 2024
Artificial intelligence (AI) has become more prevalent in education in recent years. Specifically, the perception of generative AI chatbots that generate essays based on the input of student prompts has invoked mixed reviews among educators. The negative learning implications of generative AI chatbots include plagiarism, academic dishonesty, and…
Descriptors: Artificial Intelligence, Computer Software, Secondary School Teachers, Teacher Attitudes
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Ahmet Baytak – Research in Social Sciences and Technology, 2024
Following the emergence of chatbots, especially ChatGPT, researchers have begun to examine their capabilities, credibility, and reliability in educational context. In this study, ChatGPT and Google Gemini are used as technological tools to create 7th-grade lesson plans for mathematics, science, literature, and social studies classes. Using…
Descriptors: Lesson Plans, Content Analysis, Artificial Intelligence, Synchronous Communication
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Smith, Ryan; Shin, Dongjo; Kim, Somin; Zawodniak, Matthew – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2018
As technology becomes more prevalent in the mathematics classroom, teachers will need to be able to effectively evaluate technological tools to use with students. In this study, the authors examined secondary mathematics teachers' evaluation of online dynamic geometry tools. The analysis focused on the teachers' noticing of technology;…
Descriptors: Secondary School Teachers, Mathematics Teachers, Beginning Teachers, Educational Technology
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Wu, Mike; Davis, Richard L.; Domingue, Benjamin W.; Piech, Chris; Goodman, Noah – International Educational Data Mining Society, 2020
Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…
Descriptors: Item Response Theory, Accuracy, Data Analysis, Public Policy
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Debeer, Dries; Janssen, Rianne; De Boeck, Paul – Journal of Educational Measurement, 2017
When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree-based IRT framework for modeling responses and omissions…
Descriptors: Item Response Theory, Test Items, Responses, Testing Problems
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Zehner, Fabian; Sälzer, Christine; Goldhammer, Frank – Educational and Psychological Measurement, 2016
Automatic coding of short text responses opens new doors in assessment. We implemented and integrated baseline methods of natural language processing and statistical modelling by means of software components that are available under open licenses. The accuracy of automatic text coding is demonstrated by using data collected in the "Programme…
Descriptors: Educational Assessment, Coding, Automation, Responses
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers of the 12th International Conference on Mobile Learning 2016, which was organized by the International Association for Development of the Information Society, in Vilamoura, Algarve, Portugal, April 9-11, 2016. The Mobile Learning 2016 Conference seeks to provide a forum for the presentation and discussion of…
Descriptors: Foreign Countries, Conferences (Gatherings), Conference Papers, Telecommunications