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Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
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Yeomans, Lucy; Zschaler, Steffen; Coate, Kelly – ACM Transactions on Computing Education, 2019
Programming skills are an increasingly desirable asset across disciplines; however, learning to program continues to be difficult for many students. To improve pedagogy, we need to better understand the concepts that students find difficult and which have the biggest impact on their learning. Threshold-concept theory provides a potential lens on…
Descriptors: Programming, Student Attitudes, Attitudes, Concept Formation
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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
Kovach-Hayes, Elizabeth A. – ProQuest LLC, 2019
This dissertation is a case study of State Public University (pseudonym), a large, public university in the United States, and the promising practice that improved student learning by redesigning an Information Technology course (pseudonym IT-101). The stakeholders were faculty who were involved in the redesign. As part of this qualitative study,…
Descriptors: Student Experience, College Students, Curriculum Design, Information Technology
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Dalal, Amy Csizmar; Oliver, Emily – Journal of Higher Education Outreach and Engagement, 2022
We present a case study of a multi-year, academic civic engagement (ACE) collaboration in a computer science capstone course. ACE projects in computer science provide an avenue for students to apply software development concepts to real-world projects with actual clients, and can offer meaningful engagement with ethical issues. The typical…
Descriptors: Case Studies, Computer Science Education, Capstone Experiences, Outcomes of Education
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Lin, Jian-Wei – Australasian Journal of Educational Technology, 2022
The COVID-19 pandemic has forced universities to make a radical switch from face-to-face traditional teaching (TT) to completely online learning (OL). Thus, many studies proposed the proper OL environment for a specific subject and evaluated its effectiveness. However, few studies have empirically compared the proposed OL environment with TT to…
Descriptors: Blended Learning, Computer Science Education, Educational Change, Universities
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Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
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Srichai, Kittipat; Wongsaphan, Montree – Journal of Educational Issues, 2022
Trisikkha principles consisting of morality, concentration, and wisdom discovered by the Lord Buddha, as well as the concept of contemplative education has been applied to learning-teaching management in Thailand for a long time. This research aimed to investigate the implementation of the learning management model based on the Trisikkha…
Descriptors: Moral Values, Student Attitudes, Student Characteristics, Teaching Methods
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Caspari-Sadeghi, Sima; Mille, Elena; Epperlein, Hella; Forster-Heinlein, Brigitte – Mathematics Teaching Research Journal, 2022
This collaborative action research highlights the need for developing students' evaluative competence and self-reflection by embedding self-and-peer assessment into online instruction. Over the course of a semester in an online master program in mathematics and computer sciences, students conducted research on assigned topics, held presentations,…
Descriptors: Graduate Students, Masters Programs, College Mathematics, Mathematics Education
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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
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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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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
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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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