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de Lira, Carla; Wong, Rachel; Oje, Olufunso; Nketah, Gabriel; Adesope, Olusola; Ghods, Alireza – International Journal of Computer Science Education in Schools, 2022
Current research has not fully explored how summer programming camps can help students increase motivation and interest to pursue computing career, and their programming knowledge. Informal CS education through summer programming camps provides K-12 students the opportunity to learn how to code through fun and interactive activities outside of…
Descriptors: Summer Programs, Programming, Camps, Active Learning
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Fleischer, Yannik; Biehler, Rolf; Schulte, Carsten – Statistics Education Research Journal, 2022
This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a…
Descriptors: Statistics Education, Educational Research, Electronic Learning, Secondary School Students
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Stephens, Courtney; Recker, Mimi; Lee, Victor R.; Clarke-Midura, Jody – Journal of Technology and Teacher Education, 2022
Elementary school teachers are increasingly being asked to teach computer science (CS)--a subject area with which they often have little familiarity. To address this gap, teacher professional development (PD) is a common approach for helping teachers become familiar with CS content. This paper describes a collaborative PD designed to accompany a…
Descriptors: Elementary School Teachers, Computer Science Education, Faculty Development, Programming
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Moy, Ronald L.; Pactwa, Therese E. – Journal of Education for Business, 2022
This paper uses the PBS Nova show "Mind Over Money" to introduce a number of topics in behavioral finance. Instructors can also use the video as a jumping off point for expanding the discussion to the "second generation" of behavioral finance, where many of the decisions that differ from what are considered optimal are due to…
Descriptors: Economics, Economics Education, Learner Engagement, Teaching Methods
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Katchapakirin, Kantinee; Anutariya, Chutiporn; Supnithi, Thepchai – Education and Information Technologies, 2022
Computational Thinking (CT) has been formally incorporated into the National Curriculum of Thailand since 2017, where Scratch, a block-based visual programming language, has been widely adopted as CT learning environment for primary-level students. However, conducting hands-on coding activities in a classroom has caused substantial challenges…
Descriptors: Computation, Thinking Skills, Programming Languages, Foreign Countries
Carl Christopher Haynes-Magyar – ProQuest LLC, 2022
Novice programmers need well-designed instruction and assessment informed by research and critical perspectives to conquer the historical challenges associated with completing introductory computer programming courses successfully. These issues include high dropout and failure rates, the struggle to acquire and retain basic programming knowledge,…
Descriptors: Programming, Electronic Publishing, Books, Computer Science Education
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Thomas G. Calderon; James W. Hesford; Michael J. Turner – Advances in Accounting Education: Teaching and Curriculum Innovations, 2022
In recent years professional accountancy bodies (e.g., CPA), accreditation institutions (e.g., AACSB) and employers have steadily raised, and continue to raise expectations regarding the need for accounting graduates to demonstrate skills in data analytics. One of the obstacles accounting instructors face in seeking to implement data analytics,…
Descriptors: Programming Languages, Accounting, Business Education, Data Analysis
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Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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Camila Porto; Emiliano Pereiro; María Eugenia Curi; Victor Koleszar; Alar Urruticoechea – Journal of Research on Technology in Education, 2025
The Uruguayan computational thinking (CT) program promotes CT skills for students in fourth, fifth, and sixth grades. Since 2017, it has reached over 70,000 students, with participation and Bebras challenge performance equally distributed by gender. This study examines gender perspectives in the program, focusing on teacher perceptions, student…
Descriptors: Computation, Thinking Skills, Foreign Countries, Teacher Attitudes
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Merve Aydin; Ünal Çakiroglu – Journal of Computer Assisted Learning, 2025
Background: Students experience higher-order thinking skills by finding ways to solve the problem, debugging errors while applying the solution, and testing the solution in programming. However, the inability to create schemas that will characterise programming structures is one of the difficulties during this process. Objectives: This study aimed…
Descriptors: Programming, Computer Science Education, Thinking Skills, Problem Solving
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Shih-Yu Li; Chun-Yu Ho; Shih-Ping Wu – Education and Information Technologies, 2025
This study originates from the observation during teaching and student interactions that students in industry-academic cooperative programs have very limited time to dedicate to coursework. The target group for this research consists of third-year students in the Mechanical Engineering industry-academia collaborative training program, and sessions…
Descriptors: Computer Science Education, Teaching Methods, Programming Languages, Teacher Student Relationship
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Dunhong Yao; Jing Lin – Education and Information Technologies, 2025
Programming education consistently faces challenges in bridging theory with practice and fostering students' cognitive competencies. This 12-year longitudinal study (2011-2023) investigates an innovative competency-based teaching model in university C programming education that integrates six educational theories into a coherent framework with…
Descriptors: Competency Based Education, Computer Science Education, Programming, Longitudinal Studies
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Caitlin Mills, Editor; Giora Alexandron, Editor; Davide Taibi, Editor; Giosuè Lo Bosco, Editor; Luc Paquette, Editor – International Educational Data Mining Society, 2025
The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education
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Christine Ladwig; Dana Schwieger – Information Systems Education Journal, 2024
Hollywood screenwriters worry about Artificial Intelligence (AI) replacements taking over their jobs. Famous museums litigate to protect their art from AI infringement. A major retailer scraps a machine-learning based recruitment program that was biased against women. These are just a few examples of how AI is affecting the world of work,…
Descriptors: Computer Science Education, Curriculum Development, Information Systems, Information Science Education
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Felienne Hermans – Informatics in Education, 2024
This autoethnographic paper is part of a special issue trying to answer the question "How to design or choose languages for programming novices?" I will describe how my programming language Hedy was created, how the initial design goals were formed, how my perspectives on learning and teaching changed along the way, and how Hedy changed…
Descriptors: Decision Making, Programming Languages, Novices, Computer Science Education
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