NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 30 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lakshminarayanan, Srinivasan; Rao, N. J. – Cogent Education, 2021
CS1 courses are designed in Indian Institutions as a lecture course of three to four credits and one credit lab course. The issues related to curriculum design, instruction design, and students' learning manifest themselves as issues in the lab programs. This situation presents the lab instructor with an opportunity to understand and address the…
Descriptors: Computer Science Education, Teaching Methods, Programming, Programming Languages
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Eloy, Adelmo; Achutti, Camila F.; Fernandez, Cassia; Lopes, Roseli de Deus – Informatics in Education, 2022
Integrating computational thinking into K-12 Education has been a widely explored topic in recent years. Particularly, effective assessment of computational thinking can support the understanding of how learners develop computational concepts and practices. Aiming to help advance research on this topic, we propose a data-driven approach to assess…
Descriptors: Computation, Thinking Skills, Learning Processes, Evaluation Methods
Kleb Dale G. Bayaras – Online Submission, 2023
In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the…
Descriptors: Foreign Countries, Universities, Introductory Courses, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Madhav Sharma; Andy Bowman – Journal of Information Systems Education, 2025
"Not only SQL" (NoSQL) databases have become widespread across organizations, enabling sophisticated, data-driven applications to be highly available, distributed, and cloud-based, such as e-commerce, social media, online multiplayer games, and video streaming. However, NoSQL is still sparsely found in MIS and analytics curricula. This…
Descriptors: Educational Technology, Technology Integration, Databases, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Jiang, Yabing – Journal of Information Systems Education, 2022
Small teaching approaches are well-structured, incremental teaching improvement techniques supported by research in cognitive science, memory, and learning. I systematically implement a series of small teaching activities in an introductory programming course to tackle the teaching and learning challenges faced by instructors and students. The…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Su, Jiahong; Yang, Weipeng; Li, Hui – Journal of Research in Childhood Education, 2023
Coding (or computer programming) helps equip children with an intellectual structure that is valuable for their lifelong learning and development. The proliferation of innovative coding platforms, especially screen-free programmable robotics, has made it possible for coding to be integrated into early childhood education (ECE). However, how the…
Descriptors: Coding, Programming, Early Childhood Education, Instructional Design
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Samsa, Gregory – Journal of Curriculum and Teaching, 2020
Objective: In a Statistical Analysis System (SAS) coding interview, job applicants are typically presented with data management and data analysis problems and asked to solve them using the programming language of SAS. Interviewers not only assess technical competence, but also algorithm design and more generally how applicants approach computer…
Descriptors: Programming, Computer Science Education, Interviews, Masters Programs
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kiliç, Servet; Gökoglu, Seyfullah – Informatics in Education, 2022
This study aims to explore the usability of the virtual robotics programming curriculum (VRP-C) for robotics programming teaching. Pre-service computer science (CS) teachers were trained for robotics programming teaching by using VRP-C in a scientific education activity. After training, views of the participants were revealed by using a scale and…
Descriptors: Usability, Robotics, Virtual Classrooms, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Socratous, Chrysanthos; Ioannou, Andri – Educational Technology Research and Development, 2021
The study aims to compare the effect of a structured versus an unstructured educational robotics (ER) curriculum on (a) the frequency and type of programming errors made by students in block-based programming, (b) their ability to debug a programme, and (c) their engagement in the learning process. The authors' hypothesis is that, in programming…
Descriptors: Robotics, Educational Technology, Programming Languages, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Balaji Kalluri; Prajish Prasad; Prakrati Sharma; Divyaansh Chippa – IEEE Transactions on Education, 2024
Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking…
Descriptors: Computation, Thinking Skills, Computer Science Education, Critical Thinking
Peer reviewed Peer reviewed
Direct linkDirect link
Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sajjanhar, Atul; Faulkner, Julie – Education and Information Technologies, 2019
In this study, we gauge the perceptions of novice computer programmers about Second Life (SL) as a digital learning environment for concept understanding in computer programming. SL is chosen as the learning environment because it offers, within a constructivist frame, the use of learner-centered pedagogies for designing curriculum. We adopt a…
Descriptors: Novices, Programming, Computer Simulation, Internet
Peer reviewed Peer reviewed
Direct linkDirect link
Lindberg, Renny S. N.; Laine, Teemu H.; Haaranen, Lassi – British Journal of Educational Technology, 2019
An increasing number of countries have recently included programming education in their curricula. Similarly, utilizing programming concepts in gameplay has become popular in the videogame industry. Although many games have been developed for learning to program, their variety and their correspondence to national curricula remain an uncharted…
Descriptors: Programming, Computer Science Education, Elementary Secondary Education, Guidelines
Peer reviewed Peer reviewed
Direct linkDirect link
Ng, Davy Tsz Kit; Lee, Min; Tan, Roy Jun Yi; Hu, Xiao; Downie, J. Stephen; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term "AI literacy". However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Literacy Education
Previous Page | Next Page »
Pages: 1  |  2