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Rivka Elkoshi – Music Education Research, 2024
The aim of the study encompasses three primary objectives: (1) To examine the capability of children of varying ages to reproduce increasingly complex rhythms through hand-clapping and drumming; (2) To explore the ability of children of different ages to notate increasingly complex rhythms; and (3) To investigate the impact of age on children's…
Descriptors: Music Education, Music, Difficulty Level, Family Environment
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Nevin Kozcu Cakir; Suna Karlidag – International Journal of Technology in Education, 2024
The purpose of the current study is to examine the effect of adapting the engineering design process to robotic coding, STEM, and the nature of science applications on teachers' self-efficacy towards engineering education and attitudes towards robotic coding. A weak experimental design with a single-group pre-test and post-test, one of the…
Descriptors: Engineering Education, Design, Robotics, Coding
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Kazuki Sekine; Manaka Ikuta – Cognitive Research: Principles and Implications, 2024
Emojis have become a ubiquitous part of everyday text communication worldwide. Cohn et al. (Cognit Res Princ Implic 4(1):1-18, 2019) studied the grammatical structure of emoji usage among English speakers and found a correlation between the sequence of emojis used and English word order, tending towards an subject-verb-object (SVO) sequence.…
Descriptors: Grammar, Coding, Text Structure, Japanese
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Sokratis Tselegkaridis; Theodosios Sapounidis; Serafeim A. Triantafyllou – Discover Education, 2025
Nowadays, the educational process is enriched with technological tools such as Arduino and Micro:bit. These tools offer both tangible and graphical interaction, however, widespread adoption by educators faces limitations. Many educators hesitate to utilize them, primarily due to lacking training. Therefore, this study examines educators'…
Descriptors: Technology Uses in Education, Elementary School Teachers, Secondary School Teachers, Electronic Equipment
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Jennings, Jay; Muldner, Kasia – International Journal of Artificial Intelligence in Education, 2021
When students are first learning to program, they not only have to learn to write programs, but also how to trace them. Code tracing involves stepping through a program step-by-step, which helps to predict the output of the program and identify bugs. Students routinely struggle with this activity, as evidenced by prior work and our own experiences…
Descriptors: Scaffolding (Teaching Technique), Tutors, Tutoring, Programming
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Price, Heather E.; Smith, Christian – Field Methods, 2021
To identify the dominant cultural models among parents transmitting faith to their children, we find few methodological guidelines to guide coding and analysis of semi-structured interviews. We thus developed a three-phase procedure for our research team. Phase-one follows Campbell et al. by unitizing on meanings rather than words/pages, including…
Descriptors: Semi Structured Interviews, Parents, Religion, Reliability
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Somerville, Margaret; Woods, Annette; Duhn, Iris; Rautio, Pauliina; Powell, Sarah; McConnell-Imbriotis, Alison; Galvez, Sarita – International Journal of Qualitative Studies in Education (QSE), 2021
This paper addresses the entanglements of the earth's becoming in a multi site cross hemisphere study of the infinite moments of young children's world making, recorded in multimodal videos, still images, and children's productions. The postqualitative project was informed by new materialist and posthuman theorising. The researchers conducted…
Descriptors: Foreign Countries, Young Children, Data, Qualitative Research
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Deterding, Nicole M.; Waters, Mary C. – Sociological Methods & Research, 2021
Qualitative coding procedures emanating from grounded theory were limited by technologies of the 1960s: colored pens, scissors, and index cards. Today, electronic documents can be flexibly stored, retrieved, and cross-referenced using qualitative data analysis (QDA) software. We argue the oft-cited grounded theory framework poorly fits many…
Descriptors: Coding, Qualitative Research, Grounded Theory, Journal Articles
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Fowler, Megan; Hallstrom, Jason; Hollingsworth, Joseph; Kraemer, Eileen; Sitaraman, Murali; Sun, Yu-Shan; Wang, Jiadi; Washington, Gloria – Informatics in Education, 2021
Computer science students often evaluate the behavior of the code they write by running it on specific inputs and studying the outputs, and then apply their comprehension to a more general understanding of the code. While this is a good starting point in the student's career, successful graduates must be able to reason analytically about the code…
Descriptors: Computer Science Education, Coding, Computer Software, Abstract Reasoning
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Aronshtam, Lior; Shrot, Tammar; Shmallo, Ronit – Education and Information Technologies, 2021
Improving code while preserving its functionality is a common task in the hi-tech industry. Yet students have difficulties improving an algorithm's run-time complexity by an order of magnitude. The paper focuses on assessing students' abilities in this area. We designed a Structure of the Observed Learning Outcome (SOLO) taxonomy, using software…
Descriptors: Difficulty Level, Computer Software, Taxonomy, Coding
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Macak, Martin; Kruzelova, Daniela; Chren, Stanislav; Buhnova, Barbora – Education and Information Technologies, 2021
Understanding the processes in education, such as the student learning behavior within a specific course, is a key to continuous course improvement. In online learning systems, students' learning can be tracked and examined based on data collected by the systems themselves. However, it is non-trivial to decide how to extract the desired students'…
Descriptors: Student Projects, Learning Analytics, Data Collection, Computer Science Education
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Tóth, Tomás; Lovászová, Gabriela – Informatics in Education, 2021
In education, we have noticed a significant gap between the ability of students to program in an educational visual programming environment and the ability to write code in a professional programming environment. The aim of our research was to verify the methodology of transition from visual programming of mobile applications in MIT App Inventor 2…
Descriptors: Foreign Countries, Computer Science Education, Programming, Coding
Cai, Zhiqiang; Siebert-Evenstone, Amanda; Eagan, Brendan; Shaffer, David Williamson – Grantee Submission, 2021
When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…
Descriptors: Coding, Artificial Intelligence, Models, Probability
Florida Department of Education, 2021
Florida's high school graduation rate is based on the percentage of students who graduated with a standard diploma within four years of their first full year of enrollment in ninth grade in the state. However, adjustments are made to this cohort over time to: (1) add incoming transfer students based on their grade level and year of entry; (2)…
Descriptors: High School Graduates, Graduation Rate, Withdrawal (Education), Documentation
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Swaminathan, Sudha; Mazza, Jenna; Lisenbee, Peggy S. – AERA Online Paper Repository, 2021
Our goal was to study the impact of coding on preschoolers' math abilities and to analyze their coding behaviors. Participants were six preschoolers, four years of age, from a play-based accredited program. We measured their Math abilities using TEAM and observed their coding behaviors with a structured instrument. Children used a robotic toy to…
Descriptors: Coding, Preschool Children, Preschool Education, Mathematics Skills
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