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Showing 1 to 15 of 207 results Save | Export
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Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
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Fernandez-Gauna, Borja; Rojo, Naiara; Graña, Manuel – International Journal of Educational Technology in Higher Education, 2023
We describe an automated assessment process for team-coding assignments based on DevOps best practices. This system and methodology includes the definition of Team Performance Metrics measuring properties of the software developed by each team, and their correct use of DevOps techniques. It tracks the progress on each of metric by each group. The…
Descriptors: Computer Software, Programming, Coding, Teamwork
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Sujay V. Sabnis; Jennifer R. Wolgemuth – School Psychology International, 2024
Validity refers to the extent to which a given study reflects the dominant values of a research community regarding what constitutes "good" research. Methodological texts on qualitative research provide a wide range of criteria and strategies to help qualitative researchers validate their studies. Given the importance of these strategies…
Descriptors: School Psychology, Research Methodology, Qualitative Research, Coding
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Jahnke, Maximilian; Höppner, Frank – International Educational Data Mining Society, 2022
The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…
Descriptors: Programming, Coding, Computer Science Education, Error Patterns
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Marwan, Samiha; Akram, Bita; Barnes, Tiffany; Price, Thomas W. – IEEE Transactions on Learning Technologies, 2022
Theories on learning show that formative feedback that is immediate, specific, corrective, and positive is essential to improve novice students' motivation and learning. However, most prior work on programming feedback focuses on highlighting student's mistakes, or detecting failed test cases after they submit a solution. In this article, we…
Descriptors: Feedback (Response), Formative Evaluation, Programming, Coding
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Xuejia Zhu; Suebsiri Saelee – International Journal of Education and Literacy Studies, 2025
Wuxia culture has deep historical roots in traditional Chinese culture and is an important manifestation of the national spirit and social values. This study explores the cultural representation mechanism of Wuxia animation characters and analyzes their educational functions and communication paths. Current research on Wuxia animation is…
Descriptors: Cultural Influences, Asian Culture, Animation, Foreign Countries
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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
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Neutens, Tom; Coolsaet, Kris; Wyffels, Francis – ACM Transactions on Computing Education, 2022
In many countries, computer programming is becoming an integral part of the secondary school curriculum. However, many teachers, especially in the first years of Flemish secondary school, have limited experience with teaching programming. To improve their knowledge about programming, many different types of professional development programs have…
Descriptors: Foreign Countries, Secondary School Curriculum, Computer Science Education, Programming
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Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
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Nitesh Kumar Jha; Plaban Kumar Bhowmik; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
A majority of research in Computational Thinking (CT) mainly focuses on teaching coding to school students. However, CT involves more than just coding and includes other skills like algorithmic thinking. The current study developed an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) that follows Inquiry-Based Learning…
Descriptors: Thinking Skills, Computer Science Education, Comparative Analysis, Problem Solving
Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
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Kaitlyn Storm; Jerry Zhang; Eileen Haase – Biomedical Engineering Education, 2022
Our first year biomedical engineering course exposes students to multiple engineering and design techniques within an overarching theme of understanding health inequity. Currently, the semester-long curriculum excludes computational methods such as Python programming and Machine Learning, which are usually not introduced until more advanced BME…
Descriptors: Artificial Intelligence, Programming Languages, Learning Modules, Introductory Courses
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Hilton, Lara G.; Azzam, Tarek – American Journal of Evaluation, 2019
Evaluations that include stakeholders aim to understand their perspectives and to ensure that their views are represented. This article offers a new approach to gaining stakeholder perspectives through crowdsourcing. We recruited a sample of individuals with chronic low back pain through a crowdsourcing site. This sample coded textual data…
Descriptors: Qualitative Research, Stakeholders, Data Collection, Chronic Illness
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Yoshimasa Ogawa – Journal of Response to Writing, 2021
The present study evaluated the effects of a combined form of written corrective feedback (WCF) on English as a foreign language (EFL) students' writing accuracy. The combined WCF consisted of unfocused error-code WCF and focused metalinguistic explanation. Different forms of WCF were administered to two groups of Japanese EFL students in two…
Descriptors: English (Second Language), Second Language Instruction, Writing Instruction, Accuracy
Leo C. Ureel II – ProQuest LLC, 2020
Students in introductory computer science courses, are learning to program. Indeed, most students perceive that learning to code is the central topic explored in the courses. Students spend an enormous amount of time struggling to learn the syntax and understand semantics of a particular language. Instructors spend a similar amount of time reading…
Descriptors: Coding, Programming, Computer Science Education, Novices
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