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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
Paaßen, Benjamin; Jensen, Joris; Hammer, Barbara – International Educational Data Mining Society, 2016
The first intelligent tutoring systems for computer programming have been proposed more than 30 years ago, mostly focusing on well defined programming tasks e.g. in the context of logic programming. Recent systems also teach complex programs, where explicit modelling of every possible program and mistake is no longer possible. Such systems are…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data
Attard, Lara; Busuttil, Leonard – Informatics in Education, 2020
Programming is one of the most important aspects of a Computing course. Teaching programming is a challenging task due to a number of factors, ranging from lack of student problem solving skills to different teaching methods. This paper focuses on Maltese Computing teachers' perspectives about the difficulties encountered when teaching programming…
Descriptors: Teacher Attitudes, Programming, Electronic Learning, Video Games
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
An Investigation of High School Students' Errors in Introductory Programming: A Data-Driven Approach
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
Pacetti, Elena; Soriani, Alessandro – Research on Education and Media, 2020
This study focuses on a course belonging to the University of Bologna's bachelor's degrees 'Expert in Social and Cultural Education' and 'Educator in Childhood Social Services' called 'Computer Science Lab-based course', which aims to develop digital competences necessary for the educational profession. Before COVID-19, this face-to-face…
Descriptors: Workshops, Electronic Learning, Distance Education, Emergency Programs
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
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
Popescu, Elvira; Badea, Gabriel – Educational Technology & Society, 2020
The Community of Inquiry (CoI) framework has been widely used in blended and online educational research, more recently being applied also to social media settings. This paper explores the learning community created in such a social media-based educational environment, using an extended version of CoI, which includes four components: cognitive…
Descriptors: Communities of Practice, Active Learning, Inquiry, Social Media
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
Clarke-Midura, Jody; Sun, Chongning; Pantic, Katarina – ACM Transactions on Computing Education, 2020
In response to the need to broaden participation in computer science, we designed a summer camp to teach middle-school-aged youth to code apps with MIT App Inventor. For the past four summers, we have observed significant gains in youth's interest and self-efficacy in computer science, after attending our camps. The majority of these youth,…
Descriptors: Computer Software, Middle School Students, Computer Science Education, Summer Programs
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
Ohadugha, Rosemary Ogechi; Chukwuemeka, Emeka Joshua; Babatunde, Abdullateef Eyitayo – Contemporary Educational Technology, 2020
The study examined the Impact of Peer-Mediated Learning on achievement and motivation in computer science among senior secondary school students in Minna metropolis, Niger state. The study adopted a randomized pre-test, post-test control group design. Two hypotheses were formulated to guide the study. Purposive sampling technique was used to…
Descriptors: Peer Teaching, Peer Influence, Instructional Effectiveness, Academic Achievement
Ahmad, Adnan; Zeshan, Furkh; Khan, Muhammad Salman; Marriam, Rutab; Ali, Amjad; Samreen, Alia – ACM Transactions on Computing Education, 2020
Gamification is the use of game elements in domains other than games. Gamification use is often suggested for difficult activities because it enhances users' engagement and motivation level. Due to such benefits, the use of gamification is also proposed in education environments to improve students' performance, engagement, and satisfaction.…
Descriptors: Educational Games, Educational Objectives, Computer Science Education, Instruction
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior

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