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Henrique Mohallem Paiva; Flávia Maria Santoro; Victor Takashi Hayashi; Bianca Cassemiro Lima – IEEE Transactions on Education, 2025
Contribution: This article analyzes student assessment within a computing faculty employing a full project-based learning (PBL) approach. Examining 2078 final grades across 60 classes and periods, the study reveals a significant correlation between graded self-studies, exams, and projects. This result contributes to understanding the reliability…
Descriptors: Student Evaluation, Computer Science Education, College Faculty, Correlation
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Schoeffel, Pablo; Ramos, Vinicius F. C.; Cechinel, Cristian; Wazlawick, Raul Sidnei – Informatics in Education, 2022
This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation.…
Descriptors: Student Motivation, Computer Science Education, Factor Analysis, Student Attitudes
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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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Bushmeleva, Natalia A.; Isupova, Natalya I.; Mamaeva, Ekaterina A.; Kharunzheva, Elena V. – European Journal of Contemporary Education, 2020
The problem of the research is due to the need to create a special engineering style of thinking within the digital educational space, which implies readiness for research, creativity, responsibility, and supported by modern high-tech tools in order to provide resources for solving the problems of Industry 4.0. The purpose of the study is to…
Descriptors: Engineering Education, Thinking Skills, Creativity, Information Technology
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Ruenphongphun, Prarichart; Sukkamart, Aukkapong; Pimdee, Paitoon – World Journal on Educational Technology: Current Issues, 2021
From the study's initial qualitative analysis, 10 latent variables and 22 indicators concerning digital citizenship skills (DCS) were used in a questionnaire on a sample of 506 Thai Business Computer Programme undergraduate students attending one of six regional Thai Rajabhat Universities. Goodness-of-fit and descriptive statistical analysis…
Descriptors: Undergraduate Students, Citizenship Education, Business Administration Education, Student Attitudes
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Wang, Yanqing; Liang, Yaowen; Liu, Luning; Liu, Ying – Interactive Learning Environments, 2016
Multi-peer assessment has often been used by teachers to reduce personal bias and make the assessment more reliable. This study reviews the design and development of multi-peer assessment systems that detect and solve two common issues in such systems: non-consensus among group members and personal radicalness in some assessments. A multi-peer…
Descriptors: Peer Evaluation, Programming Languages, Computer Science Education, Bias
Baser, Mustafa – Online Submission, 2013
The aim of this research was to explore the relationship among students' attitudes toward programming, gender and academic achievement in programming. The scale used for measuring students' attitudes toward programming was developed by the researcher and consisted of 35 five-point Likert type items in four subscales. The scale was administered to…
Descriptors: Undergraduate Students, Student Attitudes, Computer Attitudes, Gender Differences
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Namlu, Aysen Gurcan; Odabasi, Hatice Ferhan – Computers and Education, 2007
This study was carried out in a Turkish university with 216 undergraduate students of computer technology as respondents. The study aimed to develop a scale (UECUBS) to determine the unethical computer use behavior. A factor analysis of the related items revealed that the factors were can be divided under five headings; intellectual property,…
Descriptors: Measures (Individuals), Undergraduate Students, Computer Science Education, Integrity