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Zitsi Mirakhur; Cheri Fancsali; Kathryn Hill – ACM Transactions on Computing Education, 2024
Objectives: At the K-12 level, "CS for All" initiatives across the country strive to increase equitable access to and participation in computer science (CS). However, there are many open questions about the implementation and effectiveness of these initiatives, including the extent to which exposing young people to CS early on can shape…
Descriptors: Grade 6, Grade 7, Grade 8, African American Students
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Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
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Fernández-Batanero, José María; Piñero-Virué, Rocío; Rodríguez-González, César Antonio; Reyes-Rebollo, Miguel María – European Journal of Educational Research, 2022
In this study we focus our research on the case analysis of an eleven-year-old boy and his close relationship with technology, specifically robotics. The methodology of the study is experimental in nature, with the aim of improving the subject's attention span through robotics, thereby favouring his educational process and, consequently, his…
Descriptors: Case Studies, Robotics, Student Attitudes, Age Differences
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Lee, Ung-Sang A.; DeLiema, David; Gomez, Kimberley – Cognition and Instruction, 2022
This article offers methodological insights and tools to those engaged in design-based research (DBR) seeking to advance equity-oriented learning and outcomes through co-design. We respond to recent scholarship that points to the inseparability between the assumptions we hold about society and those we hold about learning, and consider how such…
Descriptors: Social Change, Equal Education, Outcomes of Education, Learning Processes
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Kyza, Eleni A.; Georgiou, Yiannis; Agesilaou, Andria; Souropetsis, Markos – Journal of Educational Computing Research, 2022
There are increasing calls to introduce computational thinking in schools; the arguments in favor call upon research suggesting that even kindergarten children can successfully engage in coding. This contribution presents a cross-sectional study examining the coding practices and computational thinking of fifty-one primary school children using…
Descriptors: Case Studies, Elementary School Students, Computer Science Education, Coding
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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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Priyanka, Priyanka Gupta; Mehrotra, Deepti – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: This paper focuses on designing and implementing the rubric for objective JAVA programming assessments. An unsupervised learning approach was used to group learners based on their performance in the results obtained from the rubric, reflecting their learning ability. Background: Students' learning outcomes have been evaluated…
Descriptors: Objective Tests, Outcomes of Education, Scoring Rubrics, Programming Languages
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Petrie, Christopher – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) has been recently integrated into new and revised Digital Technologies content (DTC) in the Technology learning area of the New Zealand School Curriculum. Objective: To aid this change, this research examined how CT supports learning outcomes in both music and programming with the Sonic Pi…
Descriptors: Interdisciplinary Approach, Outcomes of Education, Computer Science Education, Programming
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Cochrane, Thomas; Narayan, Vickel; Aiello, Stephen; Alizadeh, Mehrasa; Birt, James; Bone, Elisa; Cowie, Neil; Cowling, Michael; Deneen, Chris; Goldacre, Paul; Sinfield, David; Stretton, Todd; Worthington, Tom – Australasian Journal of Educational Technology, 2022
Mobile learning is well established in literature and practice, but under-evolved from a rigorous learning design perspective. Activity theory presents a sophisticated way of mapping and understanding learning design, but for mobile learning this does not always translate into change in practice. The reported research addresses this by coupling a…
Descriptors: Electronic Learning, Handheld Devices, Instructional Design, Foreign Countries
Jose Antonio Lecea Yanguas – ProQuest LLC, 2022
This dissertation presents the first Systemic Functional Linguistics-based analysis of the teaching/learning of computational thinking through computer programming and comprehensive analysis of discourse of a whole computer programming course at any educational level. The current educational research raises questions about the nature of authentic…
Descriptors: Middle School Students, Logical Thinking, Thinking Skills, Communication (Thought Transfer)
Sukanya Kannan Moudgalya – ProQuest LLC, 2022
Scholars like Ruha Benjamin have cautioned how hegemonic technologies can reinforce White supremacy and deepen racism against Black and Brown folks due to racial biases in "neutral/normative" Artificial Intelligence and over-surveillance of Black folks. K-12 education can also contribute to this hegemony. Culturally Responsive Computing…
Descriptors: Citizen Participation, Elementary Secondary Education, Culturally Relevant Education, Racism
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Poon, Pak-Lok – Journal of Information Systems Education, 2023
Teaching the concepts of expert systems to accounting students is often challenging, not only because these students are not equipped with the necessary technical knowledge to comprehend the concepts taught, but also due to the other various constraints (e.g., limited teaching hours and a diverse background of the students' undergraduate…
Descriptors: Graduate Students, Accounting, Teaching Methods, Learning Processes
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DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
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Ng, Davy Tsz Kit; Lee, Min; Tan, Roy Jun Yi; Hu, Xiao; Downie, J. Stephen; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term "AI literacy". However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Literacy Education
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Maha Elsinbawi; Aaminah Norris; Abigail Cohen; Maureen A. Paley – International Journal of Computer Science Education in Schools, 2023
This paper reports on the findings of a Design-Based Research (DBR) study that investigated the transformative learning of six high school computer science teachers after they participated in a professional development (PD) training with a focus on Culturally Responsive Computing (CRC). Findings from the statistical analysis of pre-and…
Descriptors: Transformative Learning, Females, Ethnic Groups, Minority Group Students
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