NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 60 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Thin-Yin Leong; Nang-Laik Ma – INFORMS Transactions on Education, 2024
This paper develops a spreadsheet simulation methodology for teaching simulation and performance analysis of priority queues with multiple servers, without resorting to macros, add-ins, or array formula. The approach is made possible by a "single overtaking" simplifying assumption under which any lower-priority customer may be passed in…
Descriptors: Spreadsheets, Simulation, Teaching Methods, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Gerit Wagner; Laureen Thurner – Journal of Information Systems Education, 2025
Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. Information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Prasad, Prajish; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2022
Evaluating a software design is an important practice of expert software designers. They spend significant time evaluating their solution, by developing an integrated mental model of the software design and the requirements. However, sufficient emphasis has not been given on teaching and learning of evaluation practices in software design courses,…
Descriptors: Computer Software, Design, Computer Science Education, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dorodchi, Mohsen; Dehbozorgi, Nasrin; Fallahian, Mohammadali; Pouriyeh, Seyedamin – Informatics in Education, 2021
Teaching software engineering (SWE) as a core computer science course (ACM, 2013) is a challenging task. The challenge lies in the emphasis on what a large-scale software means, implementing teamwork, and teaching abstraction in software design while simultaneously engaging students into reasonable coding tasks. The abstraction of the system…
Descriptors: Computer Science Education, Computer Software, Teaching Methods, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Dogan, Dilek; Tüzün, Hakan – Education and Information Technologies, 2022
In this study, the instructional design process in three-dimensional multi-user virtual environments (3D MUVEs) based on a problem-based learning approach was examined and authentic design experiences were shared. Besides, a design model was proposed to guide people who want to design these 3D MUVEs and to use these environments for educational…
Descriptors: Models, Instructional Design, Computer Simulation, Problem Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Phillips, A. M.; Gouvea, E. J.; Gravel, B. E.; Beachemin, P. -H.; Atherton, T. J. – Physical Review Physics Education Research, 2023
Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to be constructed narrowly as a route to solving physics problems. Here, we broaden Physics…
Descriptors: Physics, Science Instruction, Teaching Methods, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
Peer reviewed Peer reviewed
Direct linkDirect link
Rashkovits, Rami; Lavy, Ilana – International Journal of Information and Communication Technology Education, 2020
The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets…
Descriptors: Models, Data, Undergraduate Students, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Peer reviewed Peer reviewed
Direct linkDirect link
Precup, Radu-Emil; Hedrea, Elena-Lorena; Roman, Raul-Cristian; Petriu, Emil M.; Szedlak-Stinean, Alexandra-Iulia; Bojan-Dragos, Claudia-Adina – IEEE Transactions on Education, 2021
This article proposes an approach based on experiments to teach optimization technique (OT) courses in the Systems Engineering curricula at undergraduate level. Artificial intelligence techniques in terms of nature-inspired optimization algorithms and neural networks are inserted in the lecture and laboratory parts of the syllabus. The experiments…
Descriptors: Engineering Education, Teaching Methods, Systems Approach, Undergraduate Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Harichandran, Ronald S.; Erdil, Nadiye O.; Carnasciali, Maria-Isabel; Nocito-Gobel, Jean; Li, Cheryl – Advances in Engineering Education, 2018
An innovative approach to develop an entrepreneurial mindset in all undergraduate engineering and computer science students is being developed and implemented. The approach consists of the development of short e-learning modules on 18 entrepreneurial topics and the integration of these modules into regular courses in programs. A flipped classroom…
Descriptors: Entrepreneurship, Engineering Education, Electronic Learning, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Khosravi, Hassan; Cooper, Kendra M. L. – Journal of Learning Analytics, 2018
Educational environments continue to evolve rapidly to address the needs of diverse, growing student populations while embracing advances in pedagogy and technology. In this changing landscape, ensuring consistency among the assessments for different offerings of a course (within or across terms), providing meaningful feedback about student…
Descriptors: Graphs, Academic Achievement, Student Evaluation, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Aljumaily, Harith; Cuadra, Dolores; Laefer, Debra F. – Computer Science Education, 2019
Background: Conceptual models are an essential phase in software design, but they can create confusion and reduced performance for students in Database Design courses. Objective: A novel Relational Data Model Validation Tool (MVTool) was developed and tested to determine (1) if students who use MVTool perform better than those who do not, and (2)…
Descriptors: Models, Databases, Computer Science Education, Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Ait-Adda, Samia; Bousbia, Nabila; Balla, Amar – E-Learning and Digital Media, 2023
Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…
Descriptors: Semantics, Learning Processes, Learning Analytics, Models
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4