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Demet Seban; Betül Arikan; Aziz Aslan – Journal of Theoretical Educational Sciences, 2025
This survey study explores the relationship between entertainment-oriented media literacy and critical literacy skills for internet among 355 preservice elementary teachers, using the Entertainment-Oriented Media Literacy Scale and the Critical Literacy Scale for Internet. Findings indicate high levels of both literacy types, with a weak positive…
Descriptors: Media Literacy, Critical Literacy, Correlation, Preservice Teachers
Zhanxia Yang; Marina Bers – Computer Science Education, 2024
Background and Context: Historically, women have been underrepresented in computer science. To address this gender gap, researchers advocate for high-quality computer science programs for early childhood. Objectives: This study examines gender differences in coding performance before and after implementing a 24-lesson visual programming curriculum…
Descriptors: Gender Differences, Grade 1, Elementary School Students, Programming
Bernstein, Mildred Sari – ProQuest LLC, 2023
The purpose of this quantitative non-experimental study was to evaluate the gender stereotyping in picture books from a classroom library collection that primary school students use for independent reading in the classroom. Using the Kindergarten, 1st and 2nd grade fiction books from the classroom library collection from Booksource, this research…
Descriptors: Sex Stereotypes, Childrens Literature, Volunteers, Picture Books
John F. Pane; Christopher Joseph Doss; Ivy Todd; Dorothy Seaman – Annenberg Institute for School Reform at Brown University, 2025
Zearn Math is a popular software platform for K-8 mathematics learning, designed to enable all students to successfully access grade-level content. RAND researchers collaborated with Zearn, the product's developer, to design this evaluation. Then RAND conducted the study independently, randomly assigning 64 schools in an urban Texas district to…
Descriptors: Mathematics Education, Grade 3, Grade 4, Grade 5
Seher Üretmen Karaoglu; Cemile Dogan – Journal of Theoretical Educational Science, 2025
Recent advancements in Artificial Intelligence (AI) are transforming language education by enabling more effective instructional practices and enhanced learning outcomes. AI-driven technologies--including tutoring systems, personalized learning platforms, and automated assessment tools--have the potential to revolutionize classroom instruction.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Uwineza, Innocente; Uworwabayeho, Alphonse; Yokoyama, Kenya – Cogent Education, 2023
This study aimed to explore primary school teachers' perception of using Interactive Mathematics (IM) software in teaching and learning activities using qualitative interpretive phenomenology. It involved seven teachers non-randomly selected from the lower and upper primary with different gender and teaching experiences who participated in a…
Descriptors: Teacher Attitudes, Elementary School Teachers, Mathematics Instruction, African Languages
Alicia Ndegwa; Mar Gutiérrez-Colón; Marni Manegre – Interactive Learning Environments, 2024
The on-going implementation of the new curriculum of the new education system in Kenya includes the administration of technology in the classroom. In this study, this was achieved through the use of a gamified app in a local private school in Kenya, a gamified Swahili app. As Swahili is the language that is Kenya's national and one of two official…
Descriptors: Foreign Countries, Reading Comprehension, African Languages, Comparative Analysis
Lijun Ni; Gillian Bausch; Elizabeth Thomas-Cappello; Fred Martin; Bernardo Feliciano – ACM Transactions on Computing Education, 2024
This study examined student learning outcomes from a middle school computer science (CS) curriculum developed through a researcher and practitioner partnership (RPP) project. The curriculum is based on students creating mobile apps that serve community and social good. We collected two sets of data from 294 students in three urban districts: (1)…
Descriptors: Computer Software, Middle School Students, Coding, Self Efficacy
Ardito, Gerald; Czerkawski, Betül; Scollins, Lauren – TechTrends: Linking Research and Practice to Improve Learning, 2020
Problem-solving and critical thinking are considered important skills to be developed by students, and are supported by the development of Computational Thinking (CT) skills. This study investigated the collaborative development of CT skills in sixth grade students via a six week LEGO robotics program. This robotics program focused on the…
Descriptors: Problem Solving, Thinking Skills, Middle School Students, Robotics
Garmen, Pablo; Rodríguez, Celestino; García-Redondo, Patricia; San-Pedro-Veledo, Juan-Carlos – Comunicar: Media Education Research Journal, 2019
Howard Gardner revolutionized the concept of intelligence with his Multiple Intelligences Theory. His vision was widely supported by the educational community, which considers different forms of learning and accessing knowledge. Despite its impact, there is still a lack of development of tools that can easily, practically and reliably evaluate…
Descriptors: Multiple Intelligences, Computer Software, Video Games, Intervention
Chen, Yan; Mayall, Hayley J.; Smith, Thomas J.; York, Cynthia S. – AERA Online Paper Repository, 2023
This study reports the integrated findings of a mixed-methods sequential explanatory study that investigated the feasibility and effectiveness of mobile-based writing tools (MBWTs) as well as gender differences that emerged from these learning effects in the narrative writing skills of a group of sixth to seventh grade Latinx English Learners…
Descriptors: Cultural Background, Gender Differences, Writing Instruction, Writing Skills
Kanaki, Kalliopi; Kalogiannakis, Michail – Educational Process: International Journal, 2022
Background/purpose: In terms of computational thinking core facets, algorithmic thinking is a key competency applicable not only in Computer Science but also in aspects of daily life. Considering the global phenomenon of gender stereotypes with regards to the academic and professional orientation in STEM fields, we focused on investigating the…
Descriptors: Thinking Skills, Gender Differences, STEM Education, Equal Education
de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education
Shana, Zuhrieh A.; Al Baki, Sara Abd – International Journal of Mobile and Blended Learning, 2020
The aim of this quasi-experimental research isto investigate the effectiveness of formative assessment on the progress of private elementary school students. 77 students (33 girls and 44 boys) were split into two groups. The experimental group used an app called the Plickers app daily and was further divided by gender into two groups, while the…
Descriptors: Formative Evaluation, Audience Response Systems, Computer Software, Elementary School Students
Sapounidis, Theodosios; Stamovlasis, Dimitrios; Demetriadis, Stavros – IEEE Transactions on Education, 2019
Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of…
Descriptors: Preferences, Profiles, Robotics, Introductory Courses

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