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Meina Zhu; Min Young Doo; Sara Masoud; Yaoxian Huang – Education and Information Technologies, 2025
This study examines the influences of learners' motivation, self-monitoring, and self-management on learning satisfaction in online learning environments. The participants were 185 undergraduates and 99 graduate students majoring in computer science and engineering. The participants' motivation, self-monitoring, self-management, and learning…
Descriptors: Student Satisfaction, Differences, Undergraduate Students, Graduate Students
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Temirbekova, Zh. E.; Pyrkova, A. Yu. – Education and Information Technologies, 2022
Currently, the study of microcontroller and microcircuits by students is becoming very important and in demand when acquiring competencies in the computer engineering educational program. This knowledge and skills will be necessary for the employment of graduates in industry, science and education. There are more and more large technical systems…
Descriptors: Electronic Equipment, Skill Development, Computer Science Education, Engineering Education
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Siddhi Sreemahadevan; Vidya G – Education and Information Technologies, 2024
The use of digital media among student community has increased their level of distraction during classroom teaching. Capturing their attention in classrooms, has become a cumbersome task for teaching faculty. Therefore, most of the academic institutions have resorted to the use of activity-based learning for science and engineering students that…
Descriptors: Comparative Analysis, Performance, Evaluation Methods, Engineering Education
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Shmallo, Ronit; Ragonis, Noa – Education and Information Technologies, 2021
The paper presents research that aims to expose students' understanding of the "this" reference in object-oriented programming. The study was conducted with high school students (N = 86) and college engineering students (N = 77). Conceptualization of "this" reflects an understanding of objects in general and involves aspects of…
Descriptors: Computer Science Education, Programming, High School Students, College Students
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Quadir, Benazir; Mostafa, Kazi; Yang, Jie Chi; Shen, Juming; Akter, Rokaya – Education and Information Technologies, 2023
This study used the ARCS approach to investigate the effects of university students' motivation, including attention, relevance, confidence, and satisfaction, to use the Programming Teaching Assistant (PTA) on their Programming Problem-Solving Skills (PPSS). Previous studies have shown that PTA features enhance learners' programming performance,…
Descriptors: Programming Languages, Computer Science Education, Problem Solving, Student Motivation
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Mamedova, Larisa; Rukovich, Alexander; Likhouzova, Tetiana; Vorona-Slivinskaya, Lubov – Education and Information Technologies, 2023
The World Health Organization announced the COVID-19 pandemic, which led to considerable disruption of the global education system and required an early adaptation of the educational process. In addition to the resumption of the educational process, it was necessary to preserve the academic performance of students of higher educational…
Descriptors: Academic Achievement, Engineering Education, Chemistry, Foreign Countries
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Marowka, Ami – Education and Information Technologies, 2018
Python is gaining popularity in academia as the preferred language to teach novices serial programming. The syntax of Python is clean, easy, and simple to understand. At the same time, it is a high-level programming language that supports multi programming paradigms such as imperative, functional, and object-oriented. Therefore, by default, it is…
Descriptors: Computer Science Education, Programming Languages, Computer Software, Engineering Education
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Giray, Görkem – Education and Information Technologies, 2021
As COVID-19 reached Turkey in March 2020, all universities switched to e-learning in a very short period. Computer and software engineering (CE/SE) undergraduate students studying at university campuses have switched to e-learning. This paper seeks to understand the e-learning experience of CE/SE undergraduate students. A questionnaire was created…
Descriptors: Student Satisfaction, Undergraduate Students, Electronic Learning, Video Technology
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Raman, Raghu; Vachharajani, Hardik; Achuthan, Krishnashree – Education and Information Technologies, 2018
Within the context of Rogers theory of perceived attributes, authors propose a framework that can predict students' motivation to adopt programming contest like ACM (Association of Computing Machinery) International Collegiate Programming Contest (ICPC). In this paper we investigate the attributes for adoption of programming contest in a social…
Descriptors: Student Motivation, Programming, Competition, Undergraduate Students