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Showing 631 to 645 of 1,897 results Save | Export
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Balaji Kalluri; Prajish Prasad; Prakrati Sharma; Divyaansh Chippa – IEEE Transactions on Education, 2024
Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking…
Descriptors: Computation, Thinking Skills, Computer Science Education, Critical Thinking
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Paulina Haduong; Karen Brennan – Journal of Technology and Teacher Education, 2024
Online professional learning experiences can address K¬--12 computing teachers' need for content knowledge and professional communities. However, it can be difficult to design effective, large-scale experiences that reach broader audiences while addressing individual teachers' professional needs. We facilitated a two-week online professional…
Descriptors: Computer Science Education, Electronic Learning, Faculty Development, Learning Experience
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Qu, Jing Ru; Fok, Ping Kwan – International Journal of Technology and Design Education, 2022
This research focuses on student-robot interaction in the learning environment of robotics education (RE) and attempts to explore how it cultivates students' computational thinking (CT). Different from child-robot interactions as investigated in the social robot field, student-robot (S-R) interactions focus mainly on the process of interaction…
Descriptors: Robotics, Teaching Methods, Student Role, Thinking Skills
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Hicks, Timothy Alex; Cohen, Jonathan D.; Calandra, Brendan – Technology, Pedagogy and Education, 2022
This mixed methods case study presents the experience of a group of middle school students in a year-long, after-school computing programme in a large, inner-city school district in the southeastern United States. The purpose of this research is to explore informal educational strategies that are conducive at giving underrepresented minority youth…
Descriptors: Middle School Students, After School Education, Computer Science Education, Informal Education
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Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
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Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
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Singla, Adish; Theodoropoulos, Nikitas – International Educational Data Mining Society, 2022
Block-based visual programming environments are increasingly used to introduce computing concepts to beginners. Given that programming tasks are open-ended and conceptual, novice students often struggle when learning in these environments. AI-driven programming tutors hold great promise in automatically assisting struggling students, and need…
Descriptors: Programming, Computer Science Education, Task Analysis, Introductory Courses
Bers, Marina Umaschi; Strawhacker, Amanda; Sullivan, Amanda – OECD Publishing, 2022
Computer programming and associated Computational Thinking (CT) skills are essential to thriving in today's academic and professional world. There has been a growing focus globally on fostering CT skills as well as on introducing computer programming concepts and languages beginning as early as kindergarten and pre-primary school. Tools,…
Descriptors: Early Childhood Education, Computation, Critical Thinking, Early Experience
Mohammed Alzaid – ProQuest LLC, 2022
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming…
Descriptors: Learning Analytics, Self Evaluation (Individuals), Programming, Problem Solving
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Chung, Cheng-Yu; Awad, Nayif; Hsiao, I-Han – Australasian Journal of Educational Technology, 2021
Although numerous studies have demonstrated different ways that augmented reality (AR) can assist students to understand the learning content via contextualised visualisation, less explored is its effect on collaborative problem-solving (CPS) in computer programming. This study aims to investigate how AR affects a CPS in a programming task. We…
Descriptors: Problem Solving, Problem Based Learning, Cooperative Learning, Computer Simulation
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Seralidou, Eleni; Douligeris, Christos – Education and Information Technologies, 2021
The effective teaching of the concept of programming, where critical thinking is an important factor, is not so easy in secondary education. New teaching approaches, including, game-based learning, may provide a solution due to their inclusion of more fun and diverse activities but they still lack the active participation of the students in the…
Descriptors: Computer Science Education, Programming, Programming Languages, Educational Games
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Haldeman, Georgiana; Babes-Vroman Monica; Tjang, Andrew; Nguyen, Thu D. – ACM Transactions on Computing Education, 2021
Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…
Descriptors: Student Evaluation, Feedback (Response), Grading, Automation
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Säde, Merilin; Suviste, Reelika; Luik, Piret – Education Sciences, 2021
Massive open online courses (MOOCs) can potentially affect the lives of millions of people, but there is little research on how a programming MOOC could affect participants' lives after participation. In Estonia, we have organised several programming MOOCs over the years, attended by over 14,000 people. This inspired us to develop and validate a…
Descriptors: Online Courses, Programming, Foreign Countries, Computer Science Education
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Ezeamuzie, Ndudi O. – Education and Information Technologies, 2023
Several instructional approaches have been advanced for learning programming. However, effective ways of engaging beginners in programming in K-12 are still unclear, especially among low socioeconomic status learners in technology-deprived learning environments. Understanding the learning path of novice programmers will bridge this gap and explain…
Descriptors: Programming, Constructivism (Learning), Programming Languages, Computer Science Education
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