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Showing 1 to 15 of 17 results Save | Export
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Allbee, Quinn; Barber, Robert – Biochemistry and Molecular Biology Education, 2021
Biology is a data-driven discipline facilitated greatly by computer programming skills. This article describes an introductory experiential programming activity that can be integrated into distance learning environments. Students are asked to develop their own Python programs to identify the nature of alleles linked to disease. This activity…
Descriptors: Genetics, Science Instruction, Programming Languages, Biology
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Ghislain Nono Gueye; Jonathan R. Peterson – Journal of Economic Education, 2024
The authors present a Web application they designed in the R programming language as an experiential learning tool for teaching production theory. The app simulates production decisions where a manager is tasked to find the optimal mixture of inputs through experimentation. Users of the application are instructed to use calculations and intuitions…
Descriptors: Economics Education, Teaching Methods, Computer Oriented Programs, Programming Languages
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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
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Yueh-Hui Vanessa Chiang; Maiga Chang; Nian-Shing Chen – Educational Technology & Society, 2024
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including tools like ChatGPT, to shift from traditional outcome-oriented educational practices to a more…
Descriptors: Artificial Intelligence, Educational Practices, Process Education, Educational Objectives
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Govender, Reginald Gerald; Govender, Desmond Wesley – African Journal of Research in Mathematics, Science and Technology Education, 2021
The emphasis on programming and robotics owing to the unfolding of the Fourth Industrial Revolution on the African continent has led the South African National Department of Education to propose a new subject in Grades R to 9. Hence, the training and development of pre-service teachers is crucial so that they can respond to the skills needed in…
Descriptors: Programming Languages, Computer Science Education, Preservice Teachers, Undergraduate Students
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Song, S. H.; Antonelli, Marco; Fung, Tony W. K.; Armstrong, Brandon D.; Chong, Amy; Lo, Albert; Shi, Bertram E. – IEEE Transactions on Education, 2019
Contribution: A systematic approach to MATLAB problem design and automated assessment is described, based on the experience working with the MATLAB server provided by MathWorks and integrated with the edX massive online open class (MOOC) platform. Background: New technologies, such as MOOCs, provide innovative methods to tackle new challenges in…
Descriptors: Programming Languages, Online Courses, Engineering Education, Experiential Learning
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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
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Wang, Li-Chun; Chen, Ming-Puu – Innovations in Education and Teaching International, 2010
Learning to program is difficult for novices, even for those undergraduates who have majored in computer science. The study described in this paper has investigated the effects of game strategy and preference-matching on novice learners' flow experience and performance in learning to program using an experiential gaming activity. One hundred and…
Descriptors: Games, Program Effectiveness, Secondary School Students, Experiential Learning
Feuerherm, Todd Michael – ProQuest LLC, 2009
This qualitative descriptive case study explored the requirements of the IT industry for education, IT certification, and work experience for entry-level IT professionals. Research has shown a growing problem where IT graduates were not able to meet the requirements for entry-level IT jobs. IT enrollment has decreased considerably over the past…
Descriptors: Information Technology, Entry Workers, Employment Qualifications, Certification
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Shumba, Rose – Journal on Educational Resources in Computing, 2006
In the summer of 2003, a project to augment and improve the teaching of information assurance courses was started at IUP. Thus far, ten hands-on exercises have been developed. The exercises described in this article, and presented in the appendix, are based on actions required to secure a Linux host. Publicly available resources were used to…
Descriptors: Computer Security, Experiential Learning, Computer Software, Open Source Technology
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Albano, Giovannina; D'Apice, Ciro; Tomasiello, Stefania – International Journal of Mathematical Education in Science and Technology, 2002
A Mathematica[TM] package is described that uses simulations and animations to illustrate key concepts in harmonic oscillation and electric circuits for students not majoring in physics or mathematics. Students are not required to know the Mathematica[TM] environment: a user-friendly interface with buttons functionalities and on-line help allows…
Descriptors: Programming, Programming Languages, Energy, Physics
Weber, Gerhard; Mollenberg, Antje – 1994
Novices in programming face many problems affecting their learning process and programming success. Learning to program includes using the programming environment, learning a programming language's syntax and semantics, understanding a problem and translating it into an executable plan, developing algorithms and programs, and testing and debugging…
Descriptors: Computer Literacy, Computer Software Development, Debugging (Computers), Experiential Learning
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McCormick, John W. – Computer Science Education, 2007
Less than one half of one percent of all processors manufactured today end up in computers. The rest are embedded in other devices such as automobiles, airplanes, trains, satellites, and nearly every modern electronic device. Developing software for embedded systems requires a greater knowledge of hardware than developing for a typical desktop…
Descriptors: Computer System Design, Learning Activities, Relevance (Education), Computer Software
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Slocum, Terry A.; Yoder, Stephen C. – Journal of Geography, 1996
Outlines reasons why computer programming should be taught to geographers. These include experience using macro (scripting) languages and sophisticated visualization software, and developing a deeper understanding of general hardware and software capabilities. Discusses the distinct advantages and few disadvantages of the programming language…
Descriptors: Cartography, Computer Assisted Instruction, Computer Graphics, Computer Interfaces
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Merrill, Douglas C.; And Others – Cognition and Instruction, 1995
Examined the effects of tutoring on college students' ability to learn a computer programming language in order to characterize effective tutor behaviors. Found that successful tutors took a very active role in leading problem-solving by offering confirmatory feedback and additional guidance while students were on profitable paths and error…
Descriptors: College Students, Experiential Learning, Feedback, Higher Education
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