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Schreglmann, Sinan – Journal of Education and Learning, 2018
This study aimed to develop Academic Motivation Scale for Learning Information Technology for university students. For this purpose, 120 randomly selected university students studying in different classes and faculties at KSU were invited to the study during the 2016-2017 academic year. To define the scale indicators students were asked to answer…
Descriptors: Test Construction, Student Motivation, College Students, Test Validity
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Træteberga, Hallvard; Dillenbourg, Pierre – Journal of Learning Analytics, 2018
This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…
Descriptors: Eye Movements, Student Behavior, Computer Science Education, Programming
Pagram, Jeremy; Cooper, Martin; Jin, Huifen; Campbell, Alistair – Education Sciences, 2018
The Centre for Schooling and Learning Technologies (CSaLT) at Edith Cowan University (ECU) was asked in 2016 to be the Western Australian arm of a national e-exam project. This project used a bespoke exam system installed on a USB-drive to deliver what would have been traditional paper-based exams in an enclosed computer-based environment that was…
Descriptors: Foreign Countries, Computer Assisted Testing, Computer Science Education, Preservice Teachers
Pontes, Thiago Bessa; Miranda, Guilhermina Lobato; Celani, Gabriela Caffarena – Education Sciences, 2018
Difficulties in learning computer programming for novices is a subject of abundant scientific literature. These difficulties seem to be accentuated in students whose academic choice is not computation, like architecture students. However, they need to study programming, since it is part of the new academic curricula. The results presented here are…
Descriptors: Programming, Computer Science Education, Teaching Methods, Student Motivation
Hooshyar, Danial; Binti Ahmad, Rodina; Wang, Minhong; Yousefi, Moslem; Fathi, Moein; Lim, Heuiseok – Journal of Educational Computing Research, 2018
Games with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas from Intelligent Tutoring Systems have been used in educational games such as teaching introductory programming. The objective of this study was to…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Introductory Courses, Programming
Brilingaite, Agne; Bukauskas, Linas; Juškeviciene, Anita – Informatics in Education, 2018
The rapid development of new technologies requires a new set of skills from all users in operating, using, and maintaining digitised environments. Curriculum design in the field of Information and Communication Technologies (ICT) undergoes a rapid change as technological achievements do influence education. The aim of the article was to present…
Descriptors: Problem Based Learning, Information Technology, Computer Science Education, Taxonomy
Uz, Ruchan; Uzun, Adem – European Journal of Educational Research, 2018
The aim of this paper is to determine the influence of blended learning environments on self-regulated and self-directed learning skills of undergraduate students. The explanatory sequential mixed method was used. In total 167 students participated in the study. While sixty students taking "Programming Languages" course at Computer…
Descriptors: Blended Learning, Independent Study, Learning Strategies, Undergraduate Students
Backenköhler, Michael; Scherzinger, Felix; Singla, Adish; Wolf, Verena – International Educational Data Mining Society, 2018
Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…
Descriptors: Data, Course Selection (Students), Information Utilization, Individualized Instruction
Vojinovic, Oliver; Simic, Vladimir; Milentijevic, Ivan; Ciric, Vladimir – IEEE Transactions on Education, 2020
Contribution: A model of tiered in-lab, compulsory lab programming sessions suitable for use in flipped learning environments. This article also addresses the scarcity of research that explores the effects of in-class activity organization. Background: When facing a subject they perceive as dry or difficult, some students may feel discouraged from…
Descriptors: Assignments, Teaching Methods, Flipped Classroom, Class Activities
Matcha, Wannisa; Gasevic, Dragan; Uzir, Nora'ayu Ahmad; Jovanovic, Jelena; Pardo, Abelardo; Lim, Lisa; Maldonado-Mahauad, Jorge; Gentili, Sheridan; Perez-Sanagustin, Mar; Tsai, Yi-Shan – Journal of Learning Analytics, 2020
Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning…
Descriptors: Learning Analytics, Learning Strategies, Instructional Design, Delivery Systems
Pereira, Filipe D.; Oliveira, Elaine H. T.; Oliveira, David B. F.; Cristea, Alexandra I.; Carvalho, Leandro S. G.; Fonseca, Samuel C.; Toda, Armando; Isotani, Seiji – British Journal of Educational Technology, 2020
Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…
Descriptors: Introductory Courses, Programming, Outcomes of Education, Student Behavior
Çakiroglu, Ünal; Er, Betul – Informatics in Education, 2020
Considerable effort has been invested in innovative practices about teaching programming. Although the usefulness of metacognition in learning process is acknowledged, evidence demonstrating how metacognitive strategies effect in the programming classrooms is still very scarce. Given the importance of metacognitive strategies, this study seeks to…
Descriptors: Metacognition, Learning Strategies, Programming, Computer Science Education
Blake, John – RELC Journal: A Journal of Language Teaching and Research, 2020
A purpose-built online error detection tool was developed to provide genre-specific corpus-based feedback on errors occurring in draft research articles and graduation theses. The primary envisaged users were computer science majors studying at a public university in Japan. This article discusses the development and evaluation of this interactive,…
Descriptors: Feedback (Response), Usability, Error Analysis (Language), Computational Linguistics
Arikan, Fatih; Özgür, Hasan – Shanlax International Journal of Education, 2020
The purpose of the study is to determine the effect of augmented reality applications on the learning of engineering students in their professional courses. The objective of the study is to ensure that augmented reality technologies, which are among the most important technologies of today, are used in educational settings. The other important…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Teaching Methods
Chrysikos, Alexandros; Catterall, Stephen – Higher Education Pedagogies, 2020
The UK will need a skilled IT work force to maintain its position as a world leader in computing research and development. This study investigated the experience of learning communities amongst first year undergraduate computing students at a UK university. The concept of a learning community was used to examine its influence on student academic…
Descriptors: School Holding Power, Universities, Communities of Practice, Undergraduate Study

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