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Students' answers to tasks provide a valuable source of information in teaching as they result from applying cognitive processes to a learning content addressed in the task. Due to steadily increasing course sizes, analyzing student answers…

Computers and Society · Computer Science 2025-01-22 Dominic Lohr , Marc Berges , Michael Kohlhase , Florian Rabe

The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article,…

History and Overview · Mathematics 2020-06-12 Alain Prat , Warren J. Code

Cross-workload design space exploration (DSE) is crucial in CPU architecture design. Existing DSE methods typically employ the transfer learning technique to leverage knowledge from source workloads, aiming to minimize the requirement of…

Hardware Architecture · Computer Science 2025-04-21 Runzhen Xue , Hao Wu , Mingyu Yan , Ziheng Xiao , Xiaochun Ye , Dongrui Fan

The flipped classroom technique has recently been a focus of attention for many math instructors and pedagogical researchers. Although research on the subject has greatly increased in recent years, it is still debated whether the flipped…

History and Overview · Mathematics 2020-10-23 Adeli Hutton

The best currently known interactive debugging systems rely upon some meta-information in terms of fault probabilities in order to improve their efficiency. However, misleading meta information might result in a dramatic decrease of the…

Artificial Intelligence · Computer Science 2013-03-07 Patrick Rodler , Kostyantyn Shchekotykhin , Philipp Fleiss , Gerhard Friedrich

Code review is a widely-used practice in software development companies to identify defects. Hence, code review has been included in many software engineering curricula at universities worldwide. However, teaching code review is still a…

Software Engineering · Computer Science 2021-02-04 Chun Yong Chong , Patanamon Thongtanunam , Chakkrit Tantithamthavorn

Modern deep neural network training is typically based on mini-batch stochastic gradient optimization. While the use of large mini-batches increases the available computational parallelism, small batch training has been shown to provide…

Machine Learning · Computer Science 2018-04-23 Dominic Masters , Carlo Luschi

Detailed feedback on courses and lecture content is essential for their improvement and also serves as a tool for reflection. However, feedback methods are often only used sporadically, especially in mass courses, because collecting and…

Computers and Society · Computer Science 2024-04-16 Armin Egetenmeier , Sven Strickroth

In many real-world applications, evaluating the quality of instances is costly and time-consuming, e.g., human feedback and physics simulations, in contrast to proposing new instances. In particular, this is even more critical in…

Background: Proof Blocks is a software tool that enables students to construct proofs by assembling prewritten lines and gives them automated feedback. Prior work on learning gains from Proof Blocks has focused on comparing learning gains…

Human-Computer Interaction · Computer Science 2023-11-03 Seth Poulsen , Hongxuan Chen , Yael Gertner , Benjamin Cosman , Matthew West , Geoffrey L Herman

The use of mini-batches of data in training artificial neural networks is nowadays very common. Despite its broad usage, theories explaining quantitatively how large or small the optimal mini-batch size should be are missing. This work…

Disordered Systems and Neural Networks · Physics 2024-01-17 Raffaele Marino , Federico Ricci-Tersenghi

Feedback has a powerful influence on learning, but it is also expensive to provide. In large classes, it may even be impossible for instructors to provide individualized feedback. Peer assessment has received attention lately as a way of…

Applications · Statistics 2014-10-16 Dennis L. Sun , Naftali Harris , Guenther Walther , Michael Baiocchi

Peer-assessment experiments were conducted among first and second year students at the University of Trento. The experiments spanned an entire semester and were conducted in five computer science courses between 2013 and 2016.…

Computers and Society · Computer Science 2020-01-01 Michael Mogessie Ashenafi

Computerized Adaptive Testing (CAT) is a widely used technology for evaluating learners' proficiency in online education platforms. By leveraging prior estimates of proficiency to select questions and updating the estimates iteratively…

Information Retrieval · Computer Science 2025-12-24 Mi Tian , Kun Zhang , Fei Liu , Jinglong Li , Yuxin Liao , Chenxi Bai , Zhengtao Tan , Le Wu , Richang Hong

Active learning strategies have been widely recognised for their effectiveness in tertiary education, yet their implementation at scale, particularly in large first-year mathematics courses, presents considerable challenges. A common method…

History and Overview · Mathematics 2025-04-30 Raymond Vozzo , Stuart Johnson , Jonathan Tuke , Tanya Evans

When designing circuits, engineers obtain the information of electronic devices by browsing a large number of documents, which is low efficiency and heavy workload. The use of artificial intelligence technology to automatically parse…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Hong Cai Chen , Longchang Wu , Yang Zhang

Strong experimental papers in electrical and computer engineering and computer science (ECE/CS), especially in systems, networking, and applied machine learning, rest on more than a single impressive number. They rest on a chain of design,…

Methodology · Statistics 2026-05-04 Bhaskar Krishnamachari

Well-developed problem-solving skills are essential for any student enrolled in a science, technology, engineering or mathematics (STEM) course as well as for graduates in the workforce. One of the most essential skills is the ability to…

Physics Education · Physics 2016-07-27 Jeffrey A. Phillips , Jeremy E. McCallum , Katharine W. Clemmer , Thomas M. Zachariah

Delivering hands-on practice laboratories for introductory courses on operating systems is a difficult task. One of the main sources of the difficulty is the sheer size and complexity of the operating systems software. Consequently, some of…

Operating Systems · Computer Science 2018-12-04 Rafael Roman Otero , Alex Aravind

We study online learning when partial feedback information is provided following every action of the learning process, and the learner incurs switching costs for changing his actions. In this setting, the feedback information system can be…

Machine Learning · Computer Science 2019-05-21 Anshuka Rangi , Massimo Franceschetti
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