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Ayfer Sayin; Mark Gierl – Educational Measurement: Issues and Practice, 2024
The purpose of this study is to introduce and evaluate a method for generating reading comprehension items using template-based automatic item generation. To begin, we describe a new model for generating reading comprehension items called the text analysis cognitive model assessing inferential skills across different reading passages. Next, the…
Descriptors: Algorithms, Reading Comprehension, Item Analysis, Man Machine Systems
Levy, Ben; Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat; Segal, Avi; Gal, Kobi – IEEE Transactions on Learning Technologies, 2023
This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…
Descriptors: Online Courses, Elementary School Students, Grade 4, Grade 6
Jessica Adams-Grigorieff – ProQuest LLC, 2023
With recent advances in generative artificial intelligence, it may come as no surprise that AI influences our society in profound ways. This dissertation project examines how educational and social media platforms and their algorithms shape educational practices and the identity, digital literacies and views of middle school youth participants.…
Descriptors: Digital Literacy, Critical Literacy, Algorithms, Artificial Intelligence
Hadi, Parvaneh; Symons, Duncan – Australian Primary Mathematics Classroom, 2021
As technology quickly evolves, there are breakthroughs in science, space exploration, medical and engineering fields almost every day. In the future, there will be more complicated science and technology problems that need specialized researchers and scientists to find an optimized solution. This paper presents the role of robotics in supporting…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Creativity
Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
Carol McDonald Connor; Henry May; Nicole Sparapani; Jin Kyoung Hwang; Ashley Adams; Taffeta S. Wood; Sarah Siegal; Cassidy Wolfe; Stephanie Day – Grantee Submission, 2022
Bringing effective, research-based literacy interventions into the classroom is challenging, especially given the cultural and linguistic diversity of today's classrooms. We examined the promise of Assessment-to-Instruction (A2i) technology redesigned to be used at scale to support teachers' implementation of the individualized student instruction…
Descriptors: Individualized Instruction, Kindergarten, Primary Education, Intervention
Carol McDonald Connor; Henry May; Nicole Sparapani; Jin Kyoung Hwang; Ashley Adams; Taffeta S. Wood; Sarah Siegal; Cassidy Wolfe; Stephanie Day – Journal of Educational Psychology, 2022
Bringing effective, research-based literacy interventions into the classroom is challenging, especially given the cultural and linguistic diversity of today's classrooms. We examined the promise of Assessment-to-Instruction (A2i) technology redesigned to be used at scale to support teachers' implementation of the individualized student instruction…
Descriptors: Individualized Instruction, Kindergarten, Primary Education, Intervention