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Mobile devices such as smartphones and tablets have become ubiquitous in today's modern computing landscape. The applications that run on these mobile devices (often referred to as "apps") have become a primary means of computing for…

软件工程 · 计算机科学 2018-07-20 Kevin Moran

While large language models (LLMs) have been used for automated grading, they have not yet achieved the same level of performance as humans, especially when it comes to grading complex questions. Existing research on this topic focuses on a…

人工智能 · 计算机科学 2024-05-31 Wenjing Xie , Juxin Niu , Chun Jason Xue , Nan Guan

The rapid development of GUI foundation models and mobile GUI agents has spurred numerous evaluation benchmarks, yet most rely on simulated environments or open-source applications, leaving real-world closed-source applications largely…

计算机视觉与模式识别 · 计算机科学 2026-05-28 Yifan Sui , Xin Huang , Hongbing Li , Fang Xu , Jiahe Lv , Haolong Yan , Yeqing Shen , Litao Liu , Zhimin Fan , Ziyang Meng , Jia Wang , Junbo Qi , Kaijun Tan , Zheng Ge , Xiangyu Zhang , Daxin Jiang , Osamu Yoshie

The assessment of source code in university education is a central and important task for lecturers of programming courses. In doing so, educators are confronted with growing numbers of students having increasingly diverse prerequisites, a…

Formal software testing education is important for building efficient QA professionals. Various aspects of quality assurance approaches are usually covered in courses for training software testing students. Automated Test Tools is one of…

软件工程 · 计算机科学 2024-06-03 Susmita Haldar , Mary Pierce , Luiz Fernando Capretz

Crowdsourcing offers a practical method for ranking and scoring large amounts of items. To investigate the algorithms and incentives that can be used in crowdsourcing quality evaluations, we built CrowdGrader, a tool that lets students…

社会与信息网络 · 计算机科学 2013-08-27 Luca de Alfaro , Michael Shavlovsky

EvoGrader is a free, online, on-demand formative assessment service designed for use in undergraduate biology classrooms. EvoGrader's web portal is powered by Amazon's Elastic Cloud and run with LightSIDE Lab's open-source machine-learning…

计算与语言 · 计算机科学 2016-02-02 Kayhan Moharreri , Minsu Ha , Ross H Nehm

Mobile applications are being used every day by more than half of the world's population to perform a great variety of tasks. With the increasingly widespread usage of these applications, the need arises for efficient techniques to test…

软件工程 · 计算机科学 2017-09-05 Ariel Rosenfeld , Odaya Kardashov , Orel Zang

Recent trends in AIGC effectively boosted the application of visual inspection. However, most of the available systems work in a human-in-the-loop manner and can not provide long-term support to the online application. To make a step…

计算机视觉与模式识别 · 计算机科学 2023-10-10 Jiawei Li , Chenxi Lan , Xinyi Zhang , Bolin Jiang , Yuqiu Xie , Naiqi Li , Yan Liu , Yaowei Li , Enze Huo , Bin Chen

Automatic short answer grading (ASAG), which autonomously score student answers according to reference answers, provides a cost-effective and consistent approach to teaching professionals and can reduce their monotonous and tedious grading…

人工智能 · 计算机科学 2019-09-27 Tiaoqiao Liu , Wenbiao Ding , Zhiwei Wang , Jiliang Tang , Gale Yan Huang , Zitao Liu

Programming environments such as Snap, Scratch, and Processing engage learners by allowing them to create programming artifacts such as apps and games, with visual and interactive output. Learning programming with such a media-focused…

软件工程 · 计算机科学 2021-04-27 Wengran Wang , Chenhao Zhang , Andreas Stahlbauer , Gordon Fraser , Thomas Price

To increase efficacy in traditional classroom courses as well as in Massive Open Online Courses (MOOCs), automated systems supporting the instructor are needed. One important problem is to automatically detect students that are going to do…

机器学习 · 计算机科学 2016-03-21 Yannick Meier , Jie Xu , Onur Atan , Mihaela van der Schaar

Using a high-stakes thermodynamics exam as sample (252~students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the greatest challenge lies in…

物理教育 · 物理学 2024-06-27 Gerd Kortemeyer , Julian Nöhl , Daria Onishchuk

Automated grading has become an essential tool in education technology due to its ability to efficiently assess large volumes of student work, provide consistent and unbiased evaluations, and deliver immediate feedback to enhance learning.…

计算机与社会 · 计算机科学 2025-01-27 Calvin Yeung , Jeff Yu , King Chau Cheung , Tat Wing Wong , Chun Man Chan , Kin Chi Wong , Keisuke Fujii

Mobile applications, often simply called "apps", are increasingly widespread, and we use them daily to perform a number of activities. Like all software, apps must be adequately tested to gain confidence that they behave correctly.…

软件工程 · 计算机科学 2015-04-01 Shauvik Roy Choudhary , Alessandra Gorla , Alessandro Orso

In courses that involve programming assignments, giving meaningful feedback to students is an important challenge. Human beings can give useful feedback by manually grading the programs but this is a time-consuming, labor intensive, and…

编程语言 · 计算机科学 2020-10-19 Joshua Clune , Vijay Ramamurthy , Ruben Martins , Umut A. Acar

Effective and timely feedback in educational assessments is essential but labor-intensive, especially for complex tasks. Recent developments in automated feedback systems, ranging from deterministic response grading to the evaluation of…

The application of Artificial intelligence for teaching and learning in the academic sphere is a trending subject of interest in the computing education. ChatGPT, as an AI-based tool, provides various advantages, such as heightened student…

计算机与社会 · 计算机科学 2024-01-18 Basit Qureshi

The increasing demand for programmers has led to a surge in participants in programming courses, making it increasingly challenging for instructors to assess student code manually. As a result, automated programming assessment systems…

软件工程 · 计算机科学 2025-03-18 Eduard Frankford , Daniel Crazzolara , Michael Vierhauser , Niklas Meissner , Stephan Krusche , Ruth Breu

There is a perceived trade-off between machine learning code that is easy to write, and machine learning code that is scalable or fast to execute. In machine learning, imperative style libraries like Autograd and PyTorch are easy to write,…