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Lavy, Ilana – International Journal of Information and Communication Technology Education, 2021
This article describes a unique ongoing experience of learning programming via engagement in music programming of known melodies. Seventh and eighth graders participated in 10 lessons of weekly activity. Via the programming of melodies, using the Scratch 2.0 environment, they became acquainted with basic concepts of programming such as methods,…
Descriptors: Teaching Methods, Computer Science Education, Programming, Music
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Reinhart, Alex; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…
Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education
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Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
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Hansen, Nils Kristian; Hadjerrouit, Said – International Association for Development of the Information Society, 2021
The purpose of this paper is to investigate students' engagement in computational thinking (CT) and programming with MATLAB when solving a mathematical task in a programming course at the undergraduate level. The data collection method is participant observation of three groups of three students presented with a mathematical task to solve. The…
Descriptors: Computer Science Education, Computer Software, Mathematics Instruction, Teaching Methods
Neumann, Maureen D.; Dion, Lisa – MIT Press, 2021
Computational thinking--a set of mental and cognitive tools applied to problem solving--is a fundamental skill that all of us (and not just computer scientists) draw on. Educators have found that computational thinking enhances learning across a range of subjects and reinforces students' abilities in reading, writing, and arithmetic. This book…
Descriptors: Thinking Skills, Computation, Problem Solving, Teaching Methods
Razieh Fathi – ProQuest LLC, 2021
This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…
Descriptors: Undergraduate Students, Computer Science Education, Algorithms, Cognitive Development
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Žižic, Anisija; Granic, Andrina; Lukie, Michael Paul – International Journal for Talent Development and Creativity, 2017
Not all educational institutions encourage creativity and it is therefore vital that more attention be placed on the importance of understanding specific strategies that foster creativity at all levels in the classroom. Creativity conferences and workshops have become internationally common and have resulted in positive change-based initiatives in…
Descriptors: Creativity, Computer Science Education, Creative Development, 21st Century Skills
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Gerdes, Alex; Heeren, Bastiaan; Jeuring, Johan; van Binsbergen, L. Thomas – International Journal of Artificial Intelligence in Education, 2017
Ask-Elle is a tutor for learning the higher-order, strongly-typed functional programming language Haskell. It supports the stepwise development of Haskell programs by verifying the correctness of incomplete programs, and by providing hints. Programming exercises are added to Ask-Elle by providing a task description for the exercise, one or more…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Programming Languages
Ruiz, Patricia Adriana – ProQuest LLC, 2017
Women continue to be underrepresented in computer science and technology related fields despite their significant contributions. The lack of diversity in technology related fields is problematic as it can result in the perpetuation of negative stereotypes and closed-minded, unchecked biases. As technology tools become integral to our daily lives…
Descriptors: Females, Undergraduate Students, Reflection, Undergraduate Study
Ortlieb, Evan, Ed.; Kane, Britnie Delinger, Ed.; Cheek, Earl H., Jr., Ed. – Guilford Press, 2023
Educators increasingly recognize the importance of disciplinary literacy for student success, beginning as early as the primary grades. This cutting-edge volume examines ways to help K-12 students develop the literacy skills and inquiry practices needed for high-level work in different academic domains. Chapters interweave research, theory, and…
Descriptors: Literacy Education, Culturally Relevant Education, Intellectual Disciplines, Teaching Methods
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Gil-Galván, Rosario; Martín-Espinosa, Inmaculada – Journal of Social Studies Education Research, 2023
Fluency in other languages has become essential for proper integration and communication with other communities, societies, and cultures. Hence, it is of major importance to understand the factors which impact on English language learning, including the influence of parents on their children's learning during the higher education years, last stage…
Descriptors: English (Second Language), Second Language Learning, Foreign Countries, Parent Background
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Liu, Xiaoming; Schwieger, Dana – Information Systems Education Journal, 2023
Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…
Descriptors: Network Analysis, Employment Opportunities, Information Technology, Computer Science Education
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Kolikant, Y. Ben-David; Genut, S. – Computer Science Education, 2023
Background and Context: In line with interest in recruiting underrepresented groups to CS studies, our study dealt with Israeli Hasidic young women who successfully studied CS at an academic institute. Objective: We investigated what factors governed Hasidic young women's decision to enrol in a CS program and shaped their studying experience.…
Descriptors: Computer Science Education, Womens Education, Females, Jews
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Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
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Denner, Jill; Potter, Susan; Anderson, Pamela; Torres, David – Research in Higher Education, 2023
There is persistent underrepresentation of female and ethnic and racial minority students in computing. While community colleges provide a unique opportunity to increase diversity in computing fields, many students do not persist. This study aims to understand the factors that predict students' momentum--completion of a certificate, degree, or…
Descriptors: Disproportionate Representation, Females, Minority Group Students, Racial Differences
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