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This study presents a theoretical analysis on the efficiency of interleaving, an efficient online evaluation method for rankings. Although interleaving has already been applied to production systems, the source of its high efficiency has…

Information Retrieval · Computer Science 2023-06-21 Kojiro Iizuka , Hajime Morita , Makoto P. Kato

We ran a study on engagement and achievement for a first year undergraduate programming module which used an online learning environment containing tasks which generate automated feedback. Students could also access human feedback from…

Computers and Society · Computer Science 2022-01-05 Beate Grawemeyer , John Halloran , Matthew England , David Croft

Dual-submission homework, where students submit work, receive feedback and then revise has gained attention as a way to foster reflection and discourage reliance on online answer repositories. This study analyzes 13 years of exam data from…

Computers and Society · Computer Science 2025-08-14 Madhur Dixit , Kavya Lalbahadur Joshi , Kaveri Bhalchandra Konde , Edward F. Gehringer

A typical problem in MOOCs is the missing opportunity for course conductors to individually support students in overcoming their problems and misconceptions. This paper presents the results of automatically intervening on struggling…

Computers and Society · Computer Science 2018-09-27 Ralf Teusner , Thomas Hille , Thomas Staubitz

In online randomized experiments or A/B tests, accurate predictions of participant inclusion rates are of paramount importance. These predictions not only guide experimenters in optimizing the experiment's duration but also enhance the…

Methodology · Statistics 2024-02-06 Lorenzo Masoero , Mario Beraha , Thomas Richardson , Stefano Favaro

Randomized experiments (A/B testings) have become the standard way for web-facing companies to guide innovation, evaluate new products, and prioritize ideas. There are times, however, when running an experiment is too complicated (e.g., we…

Applications · Statistics 2019-03-20 Iavor Bojinov , Ye Tu , Min Liu , Ya Xu

Randomized A/B comparisons of alternative pedagogical strategies or other course improvements could provide useful empirical evidence for instructor decision-making. However, traditional experiments do not provide a straightforward pathway…

Human-Computer Interaction · Computer Science 2024-06-10 Ilya Musabirov , Angela Zavaleta-Bernuy , Pan Chen , Michael Liut , Joseph Jay Williams

Evaluating teachers' skills is crucial for enhancing education quality and student outcomes. Teacher discourse, significantly influencing student performance, is a key component. However, coding this discourse can be laborious. This study…

Computation and Language · Computer Science 2024-12-20 Samuel Falcon , Jaime Leon

This study explores student attitudes to the use of substantive on-line assessments that require mathematical answers. Our goal is to learn what are the important aspects in a design of more effective e-assessments that support learning of…

Physics Education · Physics 2016-03-09 Elizabeth Acosta-Gonzaga , Niels R. Walet

To enhance student learning, we demonstrate an experimental study to analyze student learning outcomes in online and in-class sections of a core data communications course of the Undergraduate IT program in the Information Sciences and…

Physics Education · Physics 2017-12-15 Pouyan Ahmadi , Khondkar Islam. Salman Yousaf

Motivation is essential in the learning process of university students, and teachers should have a wide range of strategies to address this issue. The emergence of social technologies has had a considerable influence in e-learning systems,…

Computers and Society · Computer Science 2024-07-11 Carlos Guerrero , Antoni Jaume-i-Capó

In the context of higher education's evolving dynamics post-COVID-19, this paper assesses the impact of new pedagogical incentives implemented in a first-year undergraduate computing module at University College London. We employ a mixed…

Computers and Society · Computer Science 2024-03-25 Laura J. Johnston , Takoua Jendoubi

Several studies indicate that attracting students to research careers requires to engage them from early undergraduate years. Following this paradigm, our Engineering School has developed an undergraduate research program that allows…

Information Retrieval · Computer Science 2017-06-22 Felipe del-Rio , Denis Parra , Jovan Kuzmicic , Erick Svec

Generative AI tools, such as AI-generated hints, are increasingly integrated into programming education to offer timely, personalized support. However, little is known about how to effectively leverage these hints while ensuring autonomous…

Computers and Society · Computer Science 2025-12-05 Heeryung Choi , Tung Phung , Mengyan Wu , Adish Singla , Christopher Brooks

Email remains one of the most frequently used means of online communication. People spend a significant amount of time every day on emails to exchange information, manage tasks and schedule events. Previous work has studied different ways…

Computation and Language · Computer Science 2020-05-28 Kai Shu , Subhabrata Mukherjee , Guoqing Zheng , Ahmed Hassan Awadallah , Milad Shokouhi , Susan Dumais

Despite growing interest in using LLMs to generate feedback on students' writing, little is known about how students respond to AI-mediated versus human-provided feedback. We address this gap through a randomized controlled trial in a large…

Human-Computer Interaction · Computer Science 2026-02-25 Xinyi Lu , Kexin Phyllis Ju , Mitchell Dudley , Larissa Sano , Xu Wang

The growing integration of generative AI in higher education is transforming how students write, learn, and engage with knowledge. As AI tools become more integrated into classrooms, there is an urgent need for pedagogical approaches that…

Computers and Society · Computer Science 2025-11-21 Xinran Zhu , Cong Wang , Duane Searsmith

Email has remained a principal form of communication among people, both in enterprise and social settings. With a deluge of emails crowding our mailboxes daily, there is a dire need of smart email systems that can recover important emails…

Information Retrieval · Computer Science 2019-05-07 Sudipto Mukherjee , Ke Jiang

An approach for engineering student exercises using the Internet is described. In this approach, for a given exercise, each student receives the same problem, but with different data. The exercise content can be static or dynamic, and the…

Computers and Society · Computer Science 2012-08-26 Richard Perry

Prompt engineering is critical for effective interaction with large language models (LLMs) such as ChatGPT. However, efforts to teach this skill to students have been limited. This study designed and implemented a prompt engineering…

Computers and Society · Computer Science 2025-12-11 David James Woo , Deliang Wang , Tim Yung , Kai Guo