We conducted a systematic literature review on automated grading and feedback tools for programming education. We analysed 121 research papers from 2017 to 2021 inclusive and categorised them based on skills assessed, approach, language paradigm, degree of automation, and evaluation techniques. Most papers assess the correctness of assignments in…

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…

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…

China will suffer into the future from a shortage of computer professionals. With 75% of her population engaged in agriculture, she has only about 100,000 computer professionals, which is less than can be found within a healthy radius of Stanford University. There are 97 "key universities," but only 10 or 15 stand at the top as the…

Discussion of computer programing at the secondary level focuses on automation and schema acquisition as two processes important in learning cognitive skills such as programing. Their effects on learning outcomes and transfer of training are examined, the importance of worked examples is highlighted, and instructional design principles are…