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Showing 1 to 15 of 79 results Save | Export
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Lisnani; Afiliana Likurnia Stevani; Benidiktus Tanujaya; Sri Adi Widodo – Mathematics Teaching Research Journal, 2025
The development of Android-based mathematics learning media aligns with the advancements of Industrial Era 5.0. This study aims to develop an Android-based mathematics learning media on geometry that is contextually relevant to tourist destinations. The methodology employed was the ADDIE approach, comprising five phases: analysis, design,…
Descriptors: Geometry, Tourism, Mathematics Instruction, Grade 4
Aaron Glasgow; Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2023
This technical report describes the development of oral reading fluency passages for use in the CBMSkills assessment system. Seventeen passages were created for each of Grades 1 through 5. Passages were designed to target the fluency component of a developmental model of reading. All passages were written with the specification to use language and…
Descriptors: Reading Fluency, Oral Reading, Reading Tests, Elementary School Students
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Sema Kara – International Journal of Modern Education Studies, 2025
The aim of this study is to investigate the effects of artificial intelligencesupported teaching practices on students' attitudes and course outcomes in the visual arts course at the 6th grade level of secondary school. The research was conducted in a private middle school in Mersin province, Turkey, in the second semester of the 2023-2024…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Attitude Measures
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Fernando López-Calatayud; Jesús Tejada – Research Studies in Music Education, 2024
Self-regulation strategies and behaviors are important aspects of instrumental music learning because they allow students to set learning goals by testing and controlling their cognition, motivation, behaviors, and emotions. This work investigates the self-regulation processes of four young instrumentalists (aged 10-11 years) in their initial…
Descriptors: Metacognition, Music Education, Learning Motivation, Musical Instruments
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Yoo, Jiseung; Kim, Min Kyeong – Contemporary Educational Technology, 2023
This study focuses on how teachers' pedagogical content knowledge (PCK) of mathematics may differ depending on teacher interactions in an online teacher community of practice (CoP). The study utilizes data from 26,857 posts collected from the South Korean self-generated online teacher CoP, 'Indischool'. This data was then analyzed using natural…
Descriptors: Natural Language Processing, Elementary School Teachers, Pedagogical Content Knowledge, Mathematics Instruction
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Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
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Haya Shamir; Erik Yoder; David Pocklington – Online Submission, 2023
Identifying effective means of ameliorating achievement gaps and addressing literacy deficits is essential. Computer-assisted instruction (CAI) is one avenue for providing this effective instruction to the students that can most benefit from it. In the current study, kindergarten students in a public school district in Illinois received…
Descriptors: Teaching Methods, Literacy Education, Computer Assisted Instruction, Achievement Gap
Litman, Diane; Zhang, Haoran; Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine – Grantee Submission, 2021
Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…
Descriptors: Essays, Writing Evaluation, Models, Accuracy
Hartvigsen, Teresa; Durfee, Melanie; Call, Todd; Throndsen, Jennifer – Utah State Board of Education, 2021
The Early Interactive Reading Software Program encourages literacy growth and achievement in students in grades K-3. The program addresses early reading through the use of computer-based literacy software which provides individualized instruction designed to supplement students' classroom learning. During the 2019-2020 school year, these software…
Descriptors: Elementary School Students, Primary Education, Reading Instruction, Computer Assisted Instruction
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Zhang, Hanzhong; Zhang, Xiaoli; Zhang, Xialan; Dong, Haonan; Li, Xia – International Journal of Information and Communication Technology Education, 2022
Taking the influence of various factors on the teaching effect of moral and social courses of primary school students as the research content, a unified examination was conducted on third-grade students from 413 primary schools in Kunming, and 1270 valid questionnaires were obtained from their teachers. A questionnaire was innovatively designed…
Descriptors: Moral Values, Elementary School Students, Instructional Improvement, Instructional Effectiveness
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Wilson, Joshua; Huang, Yue; Palermo, Corey; Beard, Gaysha; MacArthur, Charles A. – International Journal of Artificial Intelligence in Education, 2021
This study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Computer Software
Wilson, Joshua; Huang, Yue; Palermo, Corey; Beard, Gaysha; MacArthur, Charles A. – Grantee Submission, 2021
This study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Computer Software
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Hershcovits, Haviv; Vilenchik, Dan; Gal, Kobi – IEEE Transactions on Learning Technologies, 2020
This paper studies students engagement in e-learning environments in which students work independently and solve problems without external supervision. We propose a new method to infer engagement patterns of users in such self-directed environments. We view engagement as a continuous process in time, measured along chosen axes that are derived…
Descriptors: Electronic Learning, Problem Solving, Independent Study, Factor Analysis
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Son, Seung-Hee Claire; Butcher, Kirsten R.; Liang, Lauren Aimonette – Elementary School Journal, 2020
This study investigates how interactive features embedded in the illustrations of storybook apps influenced young readers' story enjoyment and comprehension. Kindergartners and second graders (N = 91) were randomly assigned to read storybook apps in an interactive or noninteractive condition. Findings showed that children's self-reported enjoyment…
Descriptors: Computer Software, Reading Comprehension, Preferences, Recall (Psychology)
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Çevik, Mustafa; Tabaru-Örnek, Gizem – International Online Journal of Education and Teaching, 2020
In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…
Descriptors: Comparative Analysis, Academic Achievement, Computer Software, Prediction
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