Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 13 |
Since 2006 (last 20 years) | 20 |
Descriptor
Problem Solving | 21 |
Visualization | 21 |
Programming | 17 |
Data Analysis | 11 |
Teaching Methods | 11 |
Computer Science Education | 10 |
Thinking Skills | 8 |
Cooperative Learning | 7 |
Foreign Countries | 7 |
Computer Software | 6 |
Educational Games | 6 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 16 |
Reports - Research | 11 |
Collected Works - Proceedings | 5 |
Reports - Descriptive | 3 |
Reports - Evaluative | 2 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 10 |
Postsecondary Education | 10 |
Elementary Education | 5 |
Secondary Education | 5 |
Junior High Schools | 4 |
Middle Schools | 4 |
Elementary Secondary Education | 2 |
High Schools | 2 |
Grade 6 | 1 |
Grade 8 | 1 |
Grade 9 | 1 |
More ▼ |
Audience
Location
Brazil | 3 |
Australia | 2 |
Florida | 2 |
Japan | 2 |
Kazakhstan | 2 |
United Kingdom (England) | 2 |
Asia | 1 |
China | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Haglund, Pontus; Strömbäck, Filip; Mannila, Linda – Informatics in Education, 2021
Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…
Descriptors: Computer Science Education, Programming, Programming Languages, Problem Solving
Michelle Pauley Murphy; Woei Hung – TechTrends: Linking Research and Practice to Improve Learning, 2024
Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…
Descriptors: Information Retrieval, Data Analysis, Pattern Recognition, Artificial Intelligence
John Levendis; Nuwan Indika – Decision Sciences Journal of Innovative Education, 2025
Business analytics is a fast-growing field that requires a combination of technical, analytical, and communication skills. This article aims to identify the most sought after skills for business analytics jobs based on a content analysis of over 2600 online job postings. The results show that the top skills include analytics, communication,…
Descriptors: Business Skills, Data Analysis, Content Analysis, Occupational Information
Orly Barzilai; Sofia Sherman; Moshe Leiba; Hadar Spiegel – Journal of Information Systems Education, 2024
Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…
Descriptors: Statistics Education, Problem Solving, Information Systems, Algorithms
Ammar, Salwa; Kim, Min Jung; Masoumi, Amir H.; Tomoiaga, Alin – Decision Sciences Journal of Innovative Education, 2023
Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…
Descriptors: Business, Data Analysis, Business Administration Education, Intercollegiate Cooperation
Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
Mecca, Giansalvatore; Santoro, Donatello; Sileno, Nazzareno; Veltri, Enzo – International Journal of Educational Technology in Higher Education, 2021
Computational thinking is the capacity of undertaking a problem-solving process in various disciplines (including STEM, i.e. science, technology, engineering and mathematics) using distinctive techniques that are typical of computer science. It is nowadays considered a fundamental skill for students and citizens, that has the potential to affect…
Descriptors: Mental Computation, Thinking Skills, Coding, Programming
Vosinakis, Spyros; Anastassakis, George; Koutsabasis, Panayiotis – British Journal of Educational Technology, 2018
Logic Programming (LP) follows the declarative programming paradigm, which novice students often find hard to grasp. The limited availability of visual teaching aids for LP can lead to low motivation for learning. In this paper, we present a platform for teaching and learning Prolog in Virtual Worlds, which enables the visual interpretation and…
Descriptors: Programming, Educational Technology, Technology Uses in Education, Simulated Environment
Grinshkun, Vadim; Bidaibekov, Esen; Koneva, Svetlana; Baidrakhmanova, Gulnaz – European Journal of Contemporary Education, 2019
The higher education system of the Republic of Kazakhstan emphasizes the need for the development of institutional science, including the field of information technology, with a priority on fundamental research. Professional training of future computer science teachers requires them to know the range of tasks related to computer graphics, and the…
Descriptors: Computer Science Education, Educational Needs, Foreign Countries, Computer Graphics
Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
Banerjee, Gargi; Murthy, Sahana; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2015
Multiple studies report that Computer Science (CS) instructors face problems on how to integrate visualizations in their teaching. This problem gets compounded for instructors in technology-constrained classrooms that are common in developing countries. In these classrooms, students are not able to interact with visualization directly; instead,…
Descriptors: Active Learning, Computer Science Education, Visualization, Teaching Methods
King, Alessandra – Australian Mathematics Teacher, 2015
Spatial reasoning--the ability to visualise and play with shapes in one's mind--is essential in many fields, and crucial in any Science, Technology, Engineering, Mathematics [STEM] discipline. It is, for example, the ability that the engineer needs to build bridges; the chemist to see the three-dimensional structure of a molecule; the architect to…
Descriptors: Spatial Ability, Coding, STEM Education, Thinking Skills
Yuen, Timothy T.; Robbins, Kay A. – ACM Transactions on Computing Education, 2014
Critical thinking, problem solving, the use of tools, and the ability to consume and analyze information are important skills for the 21st century workforce. This article presents a qualitative case study that follows five undergraduate biology majors in a computer science course (CS0). This CS0 course teaches programming within a data-driven…
Descriptors: Qualitative Research, Critical Thinking, Thinking Skills, Problem Solving
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Student Journals, Diaries, Self Management
Previous Page | Next Page »
Pages: 1 | 2