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Showing 586 to 600 of 2,031 results Save | Export
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Olelewe, Chijioke Jonathan; Agomuo, Emmanuel E.; Obichukwu, Peter Uzochukwu – Education and Information Technologies, 2019
Achieving learner engagement in the teaching and learning process is paramount towards ensuring knowledge retention in QBASIC programming. This study focuses on effects of b-learning and face-to-face (F2F) on college students' engagement and retention in QBASIC programming. The study adopted quasi-experimental design with non-equivalent group…
Descriptors: College Students, Learner Engagement, Retention (Psychology), Programming
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Moskal, Adon Christian Michael; Wass, Rob – Computer Science Education, 2019
Background and Context: Encouraging undergraduate programming students to think more about their software development processes is challenging. Most programming courses focus on coding skill development and mastering programming language features; subsequently software development processes (e.g. planning, code commenting, and error debugging) are…
Descriptors: Computer Software, Undergraduate Students, Programming, Programming Languages
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Lyon, Louise Ann; Green, Emily – ACM Transactions on Computing Education, 2021
College-educated women in the workforce are discovering a latent interest in and aptitude for computing motivated by the prevalence of computing as an integral part of jobs in many fields as well as continued headlines about the number of unfilled, highly paid computing jobs. One of these women's choices for retraining are the so-called coding…
Descriptors: Computer Science Education, Coding, Programming, Females
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Kite, Vance; Park, Soonhye; Wiebe, Eric – SAGE Open, 2021
Computational thinking (CT) is being recognized as a critical component of student success in the digital era. Many contend that integrating CT into core curricula is the surest method for providing all students with access to CT. However, the CT community lacks an agreed-upon conceptualization of CT that would facilitate this integration, and…
Descriptors: Computation, Thinking Skills, Programming, Coding
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Pörn, Ray; Hemmi, Kirsti; Kallio-Kujala, Paula – LUMAT: International Journal on Math, Science and Technology Education, 2021
There is limited research on teaching and learning of programming in primary school and even less about aspects concerning teaching programming from teachers' viewpoint. In this study, we explore how Finnish 1-6 primary school teachers (N=91), teaching at schools with Swedish as the language of instruction, relate to programming and teaching of…
Descriptors: Foreign Countries, Computer Science Education, Programming, Elementary School Teachers
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Lachney, Michael; Yadav, Aman; Drazin, Matt; Allen, Madison C.; Babbitt, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Despite the value that cultural experts bring to efforts to broaden the participation of racially minoritized youth in US computer science, there has been little research on supporting their knowledge of computing. This is a missed opportunity to explore the diffusion of computing knowledge across local community contexts where underrepresented…
Descriptors: Culturally Relevant Education, Computer Science Education, Community Education, Expertise
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Mukasheva, Manargul; Omirzakova, Aisara – World Journal on Educational Technology: Current Issues, 2021
The study was carried out from 2018 to 2020 with the challenge - how to assess the level of computational thinking. The research design is mixed since the disclosure of mutual influence of the components of the chain 'learning programming -- computational thinking -- evaluating computational thinking' requires the use of both qualitative and…
Descriptors: Computation, Thinking Skills, Student Evaluation, Cognitive Measurement
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Paassen, Benjamin; McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – Journal of Educational Data Mining, 2021
Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…
Descriptors: Data Analysis, Programming Languages, Networks, Novices
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Küçükkara, Muhammed Fatih; Aksüt, Pelin – Journal of Inquiry Based Activities, 2021
This study aimed to introduce unplugged algorithm activities developed for preschool children and to examine their implementation process. The activities used in the study were designed to support preschool children to develop and apply different solutions to problem situations that require algorithmic thinking and to learn basic algorithm…
Descriptors: Coding, Programming, Preschool Education, Computer Science Education
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Hsu, Ting-Chia; Abelson, Hal; Patton, Evan; Chen, Shih-Chu; Chang, Hsuan-Ning – International Journal of Computer-Supported Collaborative Learning, 2021
In order to promote the practice of co-creation, a real-time collaboration (RTC) version of the popular block-based programming (BBP) learning environment, MIT App Inventor (MAI), was proposed and implemented. RTC overcomes challenges related to non-collocated group work, thus lowering barriers to cross-region and multi-user collaborative software…
Descriptors: Self Efficacy, Behavior Patterns, Student Behavior, Programming
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da Cruz Alves, Nathalia; Gresse von Wangenheim, Christiane; Martins-Pacheco, Lúcia Helena – Informatics in Education, 2021
Creativity has emerged as an important 21st-century competency. Although it is traditionally associated with arts and literature, it can also be developed as part of computing education. Therefore, this article presents a systematic mapping of approaches for assessing creativity based on the analysis of computer programs created by the students.…
Descriptors: Creativity, 21st Century Skills, Computer Science Education, Programming
Fernando J. Rodriguez – ProQuest LLC, 2021
In computer science education, introductory computer programming courses tend to be the most challenging for novices, with higher dropout rates than other computer science courses. Recruitment and retention of students in computer science fields is an important area of focus in computer science education research, and previous research has…
Descriptors: Computer Science Education, Introductory Courses, Programming, Cooperative Learning
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Thomas, Paul J.; Patel, Devang; Magana, Alejandra J. – ACM Transactions on Computing Education, 2021
Software modeling is an integral practice for software engineers, especially as the complexity of software solutions increases. Unified Modeling Language (UML) is the industry standard for software modeling. however, it is often used incorrectly and misunderstood by novice software designers. This study is centered around understanding patterns of…
Descriptors: Computer Science Education, Models, Computer Software, Programming Languages
Zeyad Alshaikh – ProQuest LLC, 2021
Programming skills are a vital part of many disciplines but can be challenging to teach and learn. Thus, the programming courses are considered difficult and a major stumbling block. To overcome these challenges, students could benefit from extensive individual support such as tutoring, but there are simply not enough qualified tutors available to…
Descriptors: Questioning Techniques, Teaching Methods, Intelligent Tutoring Systems, Coding
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Sand, Odd Petter; Lockwood, Elise; Caballero, Marcos D.; Mørken, Knut – Digital Experiences in Mathematics Education, 2022
We present here the lessons learned by iteratively designing a tutorial for first-year university students using computer programming to work with mathematical models. Alternating between design and implementation, we used video-taped task interviews and classroom observations to ensure that the design promoted student understanding. The final…
Descriptors: College Freshmen, Mathematical Models, Video Technology, Computer Science Education
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