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Showing 1,006 to 1,020 of 2,031 results Save | Export
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Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
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Fields, Deborah; Vasudevan, Veena; Kafai, Yasmin B. – Interactive Learning Environments, 2015
We highlight ways to support interest-driven creation of digital media in Scratch, a visual-based programming language and community, within a high school programming workshop. We describe a collaborative approach, the programmers' collective, that builds on social models found in do-it-yourself and open source communities, but with scaffolding…
Descriptors: Programming Languages, Programming, High School Students, Cooperative Learning
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Mustapha, Aida; Samsudin, Noor Azah; Arbaiy, Nurieze; Mohammed, Rozlini; Hamid, Isredza Rahmi – Turkish Online Journal of Educational Technology - TOJET, 2016
In programming, one problem can usually be solved using different logics and constructs but still producing the same output. Sometimes students get marked down inappropriately if their solutions do not follow the answer scheme. In addition, lab exercises and programming assignments are not necessary graded by the instructors but most of the time…
Descriptors: Programming, Computer Science Education, Scoring Rubrics, Grading
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Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education
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Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
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Scharber, Cassandra; Peterson, Lana; Chang, Yu-Hui; Barksdale, Sarah; Sivaraj, Ramya – Pedagogies: An International Journal, 2021
We recommend the conceptualization of computing as a critical literacy, and ground this conceptualization in considerations of historical and current realities in computing. The frameworks of connected learning and computational participation are recommended as guides for "doing" critical computing literacy. We present the findings from…
Descriptors: Critical Theory, Computer Science Education, Elementary Secondary Education, After School Programs
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Xu, Jennifer; Frydenberg, Mark – Information Systems Education Journal, 2021
Recent years have witnessed a growing demand for business analytics-oriented curricula. This paper presents the implementation of an introductory Python course at a business university and the attempt to elevate the course's relevance by introducing data analytics topics. The results from a survey of 64 undergraduate students of the course are…
Descriptors: Programming Languages, Computer Science Education, Information Systems, Relevance (Education)
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Huang, Wendy; Looi, Chee-Kit – Computer Science Education, 2021
Background and Context: Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers. Computer Science Unplugged (CSU) had success in making computer science (CS) accessible to K-12 students…
Descriptors: Computer Science Education, Programming, Thinking Skills, Skill Development
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Demir, Ö.; Taskin, B.; Seferoglu, S. S. – Journal of Educational Technology, 2020
This study aimed at examining the COTS (Commercial off the Shelf) games having strong potential for helping to enhance intrinsic motivation and computational thinking skills. To this end, STEAM game store was searched with the keywords of "programming, coding, computing, and algorithm". This search yielded 1,249 games. After eliminating…
Descriptors: Media Selection, Selection Criteria, Computer Games, Game Based Learning
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Qian, Yizhou; Lehman, James – Journal of Educational Computing Research, 2020
This study implemented a data-driven approach to identify Chinese high school students' common errors in a Java-based introductory programming course using the data in an automated assessment tool called the Mulberry. Students' error-related behaviors were also analyzed, and their relationships to success in introductory programming were…
Descriptors: High School Students, Error Patterns, Introductory Courses, Computer Science Education
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Lundqvist, Karsten Ø.; Liyanagunawardena, Tharindu; Starkey, Louise – International Review of Research in Open and Distributed Learning, 2020
Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the use of automated sentiment analysis in assessing…
Descriptors: Feedback (Response), Online Courses, Student Experience, Peer Relationship
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Hartati, Sulis Janu; Vitianingsih, Anik Vega; Kurniati, Neny; Sulistyowati; Muhajir – International Education Studies, 2020
This paper examines the limited proficiency to engage in programming algorithms among university students in information technology and information system in several universities across Surabaya, Indonesia. The purpose of this research is to find the most influential factor in learning programming algorithm using a quantitative approach. The…
Descriptors: Mathematics Skills, Thinking Skills, Programming, Information Technology
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Threekunprapam, Arinchaya; Yasri, Pratchayapong – European Journal of Educational Research, 2020
Using unplugged coding activities to promote computational thinking (CT) among secondary learners has become increasingly popular. Benefits of using unplugged coding activities involve the cost-effective implementation, the ability to promote computer science concepts and self-efficacy in learning computer programming, and the engaging nature of…
Descriptors: Thinking Skills, Independent Study, High School Students, Coding
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Rafique, Wajid; Dou, Wanchun; Hussain, Khalid; Ahmed, Khurshid – Online Learning, 2020
Modern internet technologies have revolutionized traditional education by providing flexible and resourceful e-learning opportunities in all fields of life. Programming is an integral part of the undergraduate curriculum in computer sciences where an adequate level of programming expertise is expected from the graduates. In this paper, we explore…
Descriptors: Programming, Expertise, Web Based Instruction, Electronic Learning
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Kermek, Dragutin; Novak, Matija – Informatics in Education, 2016
In programming courses there are various ways in which students attempt to cheat. The most commonly used method is copying source code from other students and making minimal changes in it, like renaming variable names. Several tools like Sherlock, JPlag and Moss have been devised to detect source code plagiarism. However, for larger student…
Descriptors: Plagiarism, Programming, Assignments, Cheating
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