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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
Alvarez, Niurys Lázaro; Callejas, Zoraida; Griol, David – Journal of Technology and Science Education, 2020
We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…
Descriptors: Foreign Countries, College Students, Computer Science Education, Engineering Education
Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – Computer Science Education, 2020
Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…
Descriptors: Computer Science Education, Programming, Coding, Student Attitudes
Hariyanto, Didik; Triyono, Moch. Bruri; Köhler, Thomas – Knowledge Management & E-Learning, 2020
One of the advanced technologies in e-learning deals with the systems' ability to fit the students' preferences. It emerged based upon the common conception that every person has different learning style. However, despite the many options of learning style models toward using personalized elearning, there are considerable challenges to assess the…
Descriptors: Usability, Electronic Learning, Individualized Instruction, Computer Assisted Instruction
Fernando Batista, Alex; Thiry, Marcello; Queiroz Gonçalves, Rafael; Fernandes, Anita – Informatics in Education, 2020
This research discusses the use of Augmented Reality, Virtual Reality and Mixed Reality technology applications in the learning process of relevant content to the Computer Science area. This systematic review aims to identify applications that use technologies to represent virtual environments and support the teaching and learning of Computer…
Descriptors: Computer Simulation, Computer Science Education, Simulated Environment, Educational Research
Zhang, Xihui; Crabtree, John D.; Terwilliger, Mark G.; Jenkins, Janet T. – Journal of Information Systems Education, 2020
A solid foundation in computer programming is critical for students to succeed in advanced computing courses, but teaching such an introductory course is challenging. Therefore, it is important to develop better approaches in order to improve teaching effectiveness and enhance student learning. In this paper, we present 26 tips for teaching…
Descriptors: Programming, Programming Languages, Introductory Courses, Computer Science Education
Bekkering, Ernst; Ward, Ted – Information Systems Education Journal, 2020
Student performance in classes can be affected by lack of attendance and attention while in class. This paper examines the effect of student participation on performance in two Computer Science classes. Attendance and attentiveness are automatically recorded by the videoconferencing software used for the classes. Student participation is measured…
Descriptors: Class Activities, Student Participation, Performance Factors, Attendance
Fagerlund, Janne; Häkkinen, Päivi; Vesisenaho, Mikko; Viiri, Jouni – Informatics in Education, 2020
Computational thinking (CT) has been introduced in primary schools worldwide. However, rich classroom-based evidence and research on how to assess and support students' CT through programming are particularly scarce. This empirical study investigates 4th grade students' (N = 57) CT in a comparatively comprehensive and fine-grained manner by…
Descriptors: Grade 4, Elementary School Students, Preadolescents, Thinking Skills
Lawlor, Grace; Byrne, Philip; Tangney, Brendan – ACM Transactions on Computing Education, 2020
The provision of all-female computer science outreach programmes is a common strategy used to foster greater interest in the subject for high school aged girls. Based on key factors that affect girls' interest in computer science (CS), outreach programmes often share much in their approach. Nonetheless, there is criticism from a research…
Descriptors: Outreach Programs, Program Effectiveness, Program Evaluation, Evaluation Methods
Tomlinson, Joel; Johnson, Etahe; Chesser, Cole; Moore, Jonathan – Technology and Engineering Teacher, 2020
The automated water filtration design challenge integrates computer programming and basic electronics concepts through the SIMILAR systems engineering design process. The SIMILAR systems design process is to state the problem, investigate alternatives, model the system, integrate the system, launch the system, assess performance, and reevaluate…
Descriptors: Automation, Water, Water Quality, Design
Rücker, Michael T.; van Joolingen, Wouter R.; Pinkwart, Niels – ACM Transactions on Computing Education, 2020
Enabling students to recognize and evaluate the ubiquitous impact of computing technology on society is an internationally proclaimed goal of a K-12 computing education. To that end, students need to actually engage with their computing knowledge in concrete everyday situations. From the perspectives of learning transfer and variation theory, we…
Descriptors: Secondary School Students, Student Attitudes, Computers, Information Technology
Ragonis, Noa; Shilo, Gila – Journal of Information Technology Education: Research, 2018
Aim/Purpose: Research shows that students encounter difficulties in identifying the structure of argumentation texts and in understanding the main message of the argument. The research examined the effect that learning Logic Programming (LP), while applying logic inference, has on students' understanding of argumentation texts. Background:…
Descriptors: Persuasive Discourse, Computer Science, Inferences, Student Attitudes
Benotti, Luciana; Martinez, Maria Cecilia; Schapachnik, Fernando – IEEE Transactions on Learning Technologies, 2018
In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be programmed to have a conversation with a human or robotic partner in some natural language such as English or Spanish. While…
Descriptors: Formative Evaluation, Introductory Courses, Computer Science, High School Students
Lamptey, De-Lawrence; Cagliostro, Elaine; Srikanthan, Dilakshan; Hong, Sukyoung; Dief, Sandy; Lindsay, Sally – International Journal of Disability, Development and Education, 2021
This study assessed the extent to which an adapted robotics programme fostered interest in science, technology, engineering and mathematics (STEM) among children with disabilities. This study included pre- and post-programme surveys. The sample involved 57 children with disabilities who participated in an adapted robotics programme held in a…
Descriptors: Program Effectiveness, Assistive Technology, Robotics, Programming
Iatrellis, Omiros; Savvas, Ilias ?.; Fitsilis, Panos; Gerogiannis, Vassilis C. – Education and Information Technologies, 2021
Learning analytics have proved promising capabilities and opportunities to many aspects of academic research and higher education studies. Data-driven insights can significantly contribute to provide solutions for curbing costs and improving education quality. This paper adopts a two-phase machine learning approach, which utilizes both…
Descriptors: Prediction, Outcomes of Education, Higher Education, Data Analysis