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Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education
Xu, Jennifer; Frydenberg, Mark – Information Systems Education Journal, 2021
Recent years have witnessed a growing demand for business analytics-oriented curricula. This paper presents the implementation of an introductory Python course at a business university and the attempt to elevate the course's relevance by introducing data analytics topics. The results from a survey of 64 undergraduate students of the course are…
Descriptors: Programming Languages, Computer Science Education, Information Systems, Relevance (Education)
Hagge, Julia – English Teaching: Practice and Critique, 2021
Purpose: The purpose of this paper is to examine the ways in which early adolescent programmers embed meaning in their digital media created within an online programming community called Scratch. Design/methodology/approach: The author completed an 18-month descriptive case study with 5 early adolescent participants. The research design included a…
Descriptors: Semiotics, Programming Languages, Social Media, Computer Software
Molina, Ana I.; Arroyo, Yoel; Lacave, Carmen; Redondo, Miguel A. – British Journal of Educational Technology, 2018
The incorporation of advanced information and communication technologies into the field of education has made the design and deployment of courses and instructional units more and more complicated. In order to support such complex task, methods and techniques have been proposed in the last years for the standardization, formalization and modelling…
Descriptors: Programming Languages, Models, Cooperative Learning, Learning Processes
Ames, Allison J.; Au, Chi Hang – Measurement: Interdisciplinary Research and Perspectives, 2018
Stan is a flexible probabilistic programming language providing full Bayesian inference through Hamiltonian Monte Carlo algorithms. The benefits of Hamiltonian Monte Carlo include improved efficiency and faster inference, when compared to other MCMC software implementations. Users can interface with Stan through a variety of computing…
Descriptors: Item Response Theory, Computer Software Evaluation, Computer Software, Programming Languages
Al-Makhzoomy, Alaa Khalaf – ProQuest LLC, 2018
The study investigated the effect of Game Development-Based Learning (GDBL) on the ability of IT undergraduates in Jordanian universities to define the concepts of computer programming and Object-Oriented Programming (OOP) and their ability to program in C++. An instruction was designed for an eight-week-long online course to allow the…
Descriptors: Foreign Countries, Games, Information Technology, Undergraduate Students
Seralidou, Eleni; Douligeris, Christos – Education and Information Technologies, 2019
The continuous technological development nowadays acts ancillary and supportively in student-centered learning, in both formal and informal education settings. Effective learning environments, such as the AppInventor software, could spark the students' interest and allow them to develop programming skills and strengthen their algorithmic…
Descriptors: Computer Software, Student Centered Learning, Programming Languages, Foreign Countries
Arboledas-Brihuega, David – Journal of Technology and Science Education, 2019
It is evident that the society in which we live will demand more and more qualified and specialized positions in the different branches of engineering. Now we are in a highly digitized world in which information is continuously transmitted through data communication networks with the expectation of security and confidentiality. Students who are in…
Descriptors: Mathematics, Curriculum Implementation, Active Learning, Student Projects
What! No GUI? -- Teaching a Text Based Command Line Oriented Introduction to Computer Science Course
Goldstein, Ira – Information Systems Education Journal, 2019
Computer Science students need to acquire knowledge about both the hardware and software aspects of computing systems. It is necessary for them to understand how each layer interacts with one another. However, since Graphical User Interfaces have become ubiquitous, the opportunities to interact with the computer via a command prompt as part of…
Descriptors: Computer Science Education, Computer Software, Introductory Courses, Programming
Shaw, Ruey-Shiang – Journal of Educational Computing Research, 2019
This study focused on the relationships between knowledge mapping construction methods and learning performance. The different knowledge mapping methods (by experts vs. by self-learners) were assumed to achieve different learning performance levels. The results of this study show that neither different knowledge map construction methods nor…
Descriptors: Cognitive Style, Programming Languages, Correlation, Cognitive Mapping
de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education
da Silva, Henrique Alvarenga; Moura, Alexandre Sampaio – Journal of Statistics Education, 2020
Biostatistics is a critical skill to physicians in an evidence-based medicine era, but teaching basic statistical concepts is challenging. Students often experience anxiety caused by the complexity of statistics and might express negative attitudes toward the subject. We aimed to analyze the effect of an introductory biostatistics course using…
Descriptors: Introductory Courses, Medical Schools, Gender Differences, Statistics
Benhadi-Marín, Jacinto; Pereira, José Alberto; Sousa, José Paulo; Santos, Sónia A. P. – Journal of Biological Education, 2020
Individual based models (IBMs) are up-to-date tools both in research and educational areas. Here we introduce an IBM built on NetLogo platform that simulates a top-down trophic cascade controlled by the pressure exerted by two model predators (web-building spiders and ground runner spiders) on a model pest (the olive fruit fly) within a…
Descriptors: Biology, Models, Science Instruction, Teaching Methods
Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
Nouri, Jalal; Zhang, Lechen; Mannila, Linda; Norén, Eva – Education Inquiry, 2020
Teachers around the world have started teaching programming at the K-9 level, some due to the formal introduction of programming in the national curriculum, others without such pressure and on their own initiative. In this study, we attempted to understand which skills -- both CT-related and general -- are developed among pupils in the process of…
Descriptors: Skill Development, Computer Science Education, 21st Century Skills, Thinking Skills