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Direct linkAhmad D. Suleiman; Daqing Hou; Yu Liu; Jan DeWaters; David C. Shepherd; Juliana G. De Souza – ACM Transactions on Computing Education, 2025
In recent years, there has been a rise in recognition of the need for computing education to bridge the gap between academia and industry. In addition, educational researchers are also interested in increasing student engagement by grounding learning experiences in real-life concerns, community issues, or personal interests. Unfortunately,…
Descriptors: Computer Science Education, Higher Education, Active Learning, Student Projects
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
Holloman, Teirra K.; Lee, Walter C.; London, Jeremi S.; Hawkins Ash, Chaneé D.; Watford, Bevlee A. – Journal of Engineering Education, 2021
Background: In the field of engineering education, assessment and evaluation have been given insufficient attention as they relate to broadening participation. We posit that this lack of attention negatively impacts our ability to develop and implement sustainable solutions at scale. Purpose: The purpose of this article is to explore the presence…
Descriptors: Engineering Education, Educational Research, Student Participation, Student Evaluation
Paiva, José Carlos; Leal, José Paulo; Figueira, Álvaro – ACM Transactions on Computing Education, 2022
Practical programming competencies are critical to the success in computer science (CS) education and go-to-market of fresh graduates. Acquiring the required level of skills is a long journey of discovery, trial and error, and optimization seeking through a broad range of programming activities that learners must perform themselves. It is not…
Descriptors: Automation, Computer Assisted Testing, Student Evaluation, Computer Science Education
Kakavas, Panagiotis; Ugolini, Francesco C. – Research on Education and Media, 2019
This study presents a 13-year (2006-2018) systematic literature review related to the way that computational thinking (CT) has grown in elementary level education students (K-6) with the intention to: (a) present an overview of the educational context/setting where CT has been implemented, (b) identify the learning context that CT is used in…
Descriptors: Computation, Thinking Skills, Elementary School Students, Programming
Taylor, C.; Zingaro, D.; Porter, L.; Webb, K. C.; Lee, C. B.; Clancy, M. – Computer Science Education, 2014
Concept Inventories (CIs) are assessments designed to measure student learning of core concepts. CIs have become well known for their major impact on pedagogical techniques in other sciences, especially physics. Presently, there are no widely used, validated CIs for computer science. However, considerable groundwork has been performed in the form…
Descriptors: STEM Education, Computer Science Education, Concept Formation, Scientific Concepts
Keppens, Jeroen; Hay, David – Computer Science Education, 2008
A key challenge of effective teaching is assessing and monitoring the extent to which students have assimilated the material they were taught. Concept mapping is a methodology designed to model what students have learned. In effect, it seeks to produce graphical representations (called concept maps) of the concepts that are important to a given…
Descriptors: Concept Mapping, Programming, Teaching Methods, Educational Assessment
