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GenAI has gained the attention of a myriad of users in almost every profession. Its advancement has had an intense impact on education, significantly disrupting the assessment design and evaluation methodologies. Despite the potential…

Computers and Society · Computer Science 2024-05-06 Rajan Kadel , Bhupesh Kumar Mishra , Samar Shailendra , Samia Abid , Maneeha Rani , Shiva Prasad Mahato

The majority of Ethical Hacking (EH) tools utilised in penetration testing are developed by practitioners within the industry or underground communities. Similarly, academic researchers have also contributed to developing security tools.…

Cryptography and Security · Computer Science 2024-11-28 Paolo Modesti , Lewis Golightly , Louis Holmes , Chidimma Opara , Marco Moscini

Physics teaching in engineering programmes poses discipline-specific demands that intertwine conceptual modelling, experimental inquiry, and computational analysis. This study examines nine teaching competences for physics instruction…

The introduction of computing education into curricula worldwide requires multi-year assessments to evaluate the long-term impact on learning. However, no single Computational Thinking (CT) assessment spans primary school, and no group of…

As generative AI (GenAI) tools like ChatGPT become more common in higher education, understanding student attitudes is essential for evaluating their educational impact and supporting responsible AI integration. This study introduces a…

Computers and Society · Computer Science 2025-08-05 Xiuxiu Tang , Si Chen , Ying Cheng , Nitesh V Chawla , Ronald Metoyer , G. Alex Ambrose

The ability to categorize problems is a measure of expertise in a domain. In order to help students learn effectively, instructors and teaching assistants (TAs) should have pedagogical content knowledge. They must be aware of the prior…

Physics Education · Physics 2016-03-10 Chandralekha Singh

Nowadays, technology has become dominant in the daily lives of most people around the world. From children to older people, technology is present, helping in the most diverse daily tasks and allowing accessibility. However, many times these…

Human-Computer Interaction · Computer Science 2022-08-09 Edelberto Franco Silva , Bruno José Dembogurski , Gustavo Silva Semaan

Creativity is often seen as a hallmark of human intelligence. While large language models (LLMs) are increasingly perceived as generating creative text, there is still no holistic and scalable framework to evaluate their creativity across…

Software is primarily developed for people by people and human factors must be studied in all software engineering phases. Creativity is the source to improvise solutions to problems for dominating complex systems such as software…

Software Engineering · Computer Science 2013-05-28 Daniel Graziotin

With the introduction of educational robotics (ER) and computational thinking (CT) in classrooms, there is a rising need for operational models that help ensure that CT skills are adequately developed. One such model is the Creative…

Computers and Society · Computer Science 2021-07-20 Morgane Chevalier , Laila El-Hamamsy , Christian Giang , Barbara Bruno , Francesco Mondada

As computing's societal impact grows, so does the need for computing students to recognize and address the ethical and sociotechnical implications of their work. While there are efforts to integrate ethics into computing curricula, we lack…

Computers and Society · Computer Science 2025-01-23 Aadarsh Padiyath , Mark Guzdial , Barbara Ericson

Effective software testing is critical for producing reliable and secure software, yet many computer science students struggle to master the foundational concepts required to construct comprehensive test suites. While automated feedback…

Software Engineering · Computer Science 2025-10-02 Shiza Andleeb , Teo Mendoza , Lucas Cordova , Gursimran Walia , Jeffrey C. Carver

How can AI move beyond imitation toward genuine creativity? This paper proposes the E.A.R.T.H. framework, a five-stage generative pipeline that transforms model-generated errors into creative assets through Error generation, Amplification,…

Artificial Intelligence · Computer Science 2025-08-04 Yusen Peng , Shuhua Mao

Artificial Intelligence has demonstrated its significance in software engineering through notable improvements in productivity, accuracy, collaboration, and learning outcomes. This study examines the impact of generative AI tools,…

Software Engineering · Computer Science 2024-02-23 Muhammad Waseem , Teerath Das , Aakash Ahmad , Peng Liang , Mahdi Fehmideh , Tommi Mikkonen

While the potential of deep learning (DL) for automating simple tasks is already well explored, recent research has started investigating the use of deep learning for creative design, both for complete artifact creation and supporting…

Artificial Intelligence · Computer Science 2024-02-13 Marcus Basalla , Johannes Schneider , Jan vom Brocke

Teaching the software engineers of the future to write high-quality code with good style and structure is important. This systematic literature review identifies existing instructional approaches, their objectives, and the strategies used…

Software Engineering · Computer Science 2025-02-26 Sara Nurollahian , Hieke Keuning , Eliane Wiese

As software systems continue to grow in complexity, testing has become a fundamental part of ensuring the quality and reliability of software products. Yet, software testing is still often perceived, both in industry and academia, as a…

Software Engineering · Computer Science 2025-07-29 Davi Gama Hardman , Cesar França , Brody Stuart-Verner , Ronnie de Souza Santos

As design thinking education grows in secondary and tertiary contexts, educators face the challenge of evaluating creative artefacts that combine visual and textual elements. Traditional rubric-based assessment is laborious, time-consuming,…

Computers and Society · Computer Science 2025-12-12 Sumbul Khan , Wei Ting Liow , Lay Kee Ang

Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test questions based on individual performance. Compared to traditional, non-personalized testing…

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