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Teresa M. Ober; Ying Cheng; Meghan R. Coggins; Paul Brenner; Janice Zdankus; Philip Gonsalves; Emmanuel Johnson; Tim Urdan – Computer Science Education, 2024
Background and Context: Differences in children's and adolescents' initial attitudes about computing and other STEM fields may form during middle school and shape decisions leading to career entry. Early emerging differences in career interest may propagate a lack of diversity in computer science and programming fields. Objective: Though middle…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
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Halit Karalar – International Technology and Education Journal, 2023
The purpose of this study is to adapt the "Computer Programming Self-Efficacy Scale for Computer Literacy Education (CPSES)" developed by Tsai et al. (2019) into Turkish for middle school students and to develop a valid and reliable measurement tool. The participants of the study consisted of 348 eighth grade students. In order to test…
Descriptors: Foreign Countries, Programming, Computer Literacy, Middle School Students
Meize Guo – ProQuest LLC, 2022
The consistent prevalence of computer science in our society and the urgent need for STEM professionals in the U.S. raised the need for computer science education at the K-8 level. Researchers have examined the challenges, possible approaches, and contents of teaching computer science. However, there has been limited research on teachers'…
Descriptors: Elementary School Teachers, Computer Science Education, Kindergarten, Grade 1
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Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
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Wang, Jianlan; Zhang, Yuanlin; Jones, Arthur; Eckel, Rory; Hawkins, Joshua; Musslewhite, Darrel – Journal of Computers in Mathematics and Science Teaching, 2022
Despite the importance of computer science education and computational thinking, there have been limited examples of computer science education at K-12 classrooms that authentically represents the work of computer scientists, especially programming. One reason is the lack of a measurable definition of computational thinking and a programming…
Descriptors: Teaching Methods, Computer Science Education, Programming, Thinking Skills
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Hwang, Gwo-Jen; Tung, Li-Hsien; Fang, Jian-Wen – Journal of Educational Computing Research, 2023
Fostering students' computer programming skills has become an important educational issue in the globe. However, it remains a challenge for students to understand those abstract concepts when learning computer programming, implying the need to provide instant learning diagnosis and feedback in computer programming activities. In this study, a…
Descriptors: Programming, Thinking Skills, Problem Solving, Computer Science Education
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Burt, Clark; Graham, Lorraine; Hoang, Thuong – International Journal of Disability, Development and Education, 2022
Students with mild intellectual disabilities need explicit vocabulary instruction with multiple exposures in different contexts and extra practice in associating meanings to unfamiliar words to build their word knowledge. The purpose of this study was to examine the effect of multimedia-based computer assisted instruction on learning the meanings…
Descriptors: Mild Intellectual Disability, Students with Disabilities, Vocabulary Development, Computer Assisted Instruction
New York State Education Department, 2023
The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the online delivery of the 2023 Elementary-Level (Grade 5) and Intermediate-Level (Grade 8) Science Computer-Based Field Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability…
Descriptors: Testing Programs, Elementary School Students, Grade 5, Middle School Students
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Zhang, Yue; Wang, Qiu – International Journal of Mathematical Education in Science and Technology, 2020
Employing data from TIMSS 2011, this study investigated the association among middle school students' in-class computer use, content learning opportunities, and mathematics and science achievement. 3,398 students and 183 mathematics teachers and 3,989 students and 363 science teachers were included in the study. Structural equation modelling was…
Descriptors: Science Achievement, Mathematics Achievement, Middle School Students, Computer Uses in Education
Jenks, Theodore G. – ProQuest LLC, 2022
The purpose of this action research was to implement a digital game development project and describe its effects on the performance and attitudes of eighth-grade students in a required computer science course at South Carolina School District Alpha. The following research questions were explored: (1) How does the game development project impact…
Descriptors: Middle School Students, Active Learning, Student Projects, Games
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
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Scrimgeour, Meghan B.; Huang, Haigen H. – Mid-Western Educational Researcher, 2022
Given the growing trend toward using technology to assess student learning, this investigation examined test mode comparability of student achievement scores obtained from paper-pencil and computerized assessments of statewide End-of-Course and End-of-Grade examinations in the subject areas of high school biology and eighth-grade English Language…
Descriptors: Comparative Analysis, Test Format, Grade 8, English Instruction
New York State Education Department, 2022
The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the online delivery of the 2022 Elementary-Level (Grade 5) and Intermediate-Level (Grade 8) Science Computer-Based Field Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability…
Descriptors: Testing Programs, Elementary School Students, Grade 5, Middle School Students
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Choi, Yusik – Journal of Geography, 2021
Computers and geospatial technologies such as Geographic Information Systems, Google Earth, and the Global Positioning System (GPS) are increasingly common tools for geography instruction in schools. The NAEP Data Explorer was used to conduct an analysis of geography achievement in the eighth grade based on differences in students' access to and…
Descriptors: Geography Instruction, Academic Achievement, Grade 8, Geographic Information Systems
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
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