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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
Prado, Yenda; Jacob, Sharin; Warschauer, Mark – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) is a skill all students should learn. This requires using inclusive approaches to teach CT to a wide spectrum of students. However, strategies for teaching CT to students with exceptionalities are not well studied. Objective: This study draws on lessons learned in two fourth-grade classrooms --…
Descriptors: Thinking Skills, Computer Science Education, Special Education, Teaching Methods
Sax, Linda J.; Newhouse, Kaitlin N. S.; Goode, Joanna; Nakajima, Tomoko M.; Skorodinsky, Max; Sendowski, Michelle – ACM Transactions on Computing Education, 2022
The Advanced Placement Computer Science Principles (APCSP) course was introduced in 2016 to address long-standing gender and racial/ethnic disparities in the United States among students taking Advanced Placement Computer Science (APCS) in high school, as well as among those who pursued computing majors in college. Although APCSP has drawn a more…
Descriptors: Advanced Placement Programs, Computer Science Education, Equal Education, High School Students
Shapiro, Ben Rydal; Meng, Amanda; Rothschild, Annabel; Gilliam, Sierra; Garrett, Cicely; DiSalvo, Carl; DiSalvo, Betsy – Educational Technology & Society, 2022
Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at DataWorks, an organization that trains and employs…
Descriptors: Data Analysis, Visual Aids, Novices, Work Environment
Altin, Rukiye; Tokel, Tugba; Delialioglu, Omer – Journal of Computers in Mathematics and Science Teaching, 2021
The focus on Computer Science Education at the K-12 level has been increasingly highlighted due to today's need for a populace with computational thinking skills, in addition to the expansion of careers related to computing and computer science. Programming helps facilitate students' examination of the nature of a problem and helps students to…
Descriptors: Mathematics Instruction, Instructional Effectiveness, Interdisciplinary Approach, Computer Science Education
Israel-Fishelson, Rotem; Hershkovitz, Arnon; Eguíluz, Andoni; Garaizar, Pablo; Guenaga, Mariluz – Journal of Educational Computing Research, 2021
Creativity and Computational Thinking (CT) have been both extensively researched in recent years. However, the associations between them are still not fully understood despite their recognition as essential competencies for the digital age. This study looks to bridge this gap by examining the association between CT and two types of creativity,…
Descriptors: Learning Analytics, Correlation, Creativity, Creative Thinking
Ilic, Ulas – International Journal of Research in Education and Science, 2021
The present study aimed to determine the effect of Scratch-assisted expressions and applications on the Computational Thinking skills of pre-service teachers. For this purpose, the research was designed with an exploratory sequential design, a mixed research method. Thirty-three pre-service teachers participated in the study. Data were collected…
Descriptors: Programming Languages, Computer Science, Thinking Skills, Creative Thinking
Zheng, Lanqin; Zhong, Lu; Niu, Jiayu; Long, Miaolang; Zhao, Jiayi – Educational Technology & Society, 2021
In recent years, the rapid development of artificial intelligence has increased the power of personalized learning. This study aimed to provide personalized intervention for each group participating in computer-supported collaborative learning. The personalized intervention adopted a deep neural network model, Bidirectional Encoder Representations…
Descriptors: Instructional Effectiveness, Individualized Instruction, Computer Assisted Instruction, Cooperative Learning
Hu, Yue; Chen, Cheng-Huan; Su, Chien-Yuan – Journal of Educational Computing Research, 2021
Block-based visual programming tools, such as Scratch, Alice, and MIT App Inventor, provide an intuitive and easy-to-use editing interface through which to promote programming learning for novice students of various ages. However, very little attention has been paid to investigating these tools' overall effects on students' academic achievement…
Descriptors: Instructional Effectiveness, Programming Languages, Computer Science Education, Computer Interfaces
Haroldson, Rachelle; Ballard, Dave – Computer Science Education, 2021
Background and Content: Many children's books related to computer science have been published in the last five years, creating opportunities to integrate these texts into the classroom. Objective: Determine where the children's books support an inclusive computing culture by representing people with diverse intersectional identities engaging in…
Descriptors: Picture Books, Childrens Literature, Cartoons, Novels
Chen, Chenin – Contemporary Educational Technology, 2021
Along with the rapid development of technology, the constant innovation and application of computer and information technology has information technology change humans' future lifestyles as well as induce comprehensive changes in humans' learning. Due to knowledge digitization, knowledge creation and update is fast that the acceleration and…
Descriptors: Business Administration Education, College Students, Critical Thinking, Learning Activities
Duzenli, Hülya – Journal of Educational Technology and Online Learning, 2021
Gen Z stands out as a new age learner group in the context of open and distance learning. Research shows that Gen Z has different needs and expectations form their predecessors; therefore, new educational interventions are required. The purpose of this study is to examine the suggestions of the scientific articles on Gen Z to draw educational…
Descriptors: Age Groups, Generational Differences, Distance Education, Open Education
Knudson, Joel; Handjojo, Candice; Sunde, Ashley – American Institutes for Research, 2021
Computer science (CS) education in California has grown substantially in the last decade. Early grassroots efforts have evolved into a broad coalition of educators, industry leaders, and other members of the CS community known as Computer Science for California (CSforCA). At the same time, developments in multiple aspects of state policy reflect…
Descriptors: State Policy, Educational Policy, Computer Science Education, Educational Development
Nonye Alozie; Patrik Lundh; Kate Laguarda; Caroline E. Parker; Reina Fujii; Beth McBride – National Comprehensive Center, 2021
In this first of three whitepapers on designing curricula for diversity, the authors explain why equity and inclusion should be addressed in standardized curriculum materials and introduce the Equity and Inclusion Framework for Curriculum Design (EI-CD). [For Part 2, see ED615694. For Part 3, see ED615695.]
Descriptors: Inclusion, Diversity, Equal Education, Curriculum Design
Isabel Alonso – ProQuest LLC, 2021
In the 21st century, digital technology skills are necessary to succeed in technology-rich environments such as the school, the workplace, and daily life activities such as shopping online, applying for jobs, working online, and receiving education. This qualitative case the study provided insights into digital literacy and the most influential…
Descriptors: Adult Learning, Digital Literacy, English (Second Language), Second Language Learning