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Since the COVID-19 pandemic, online lectures have spread rapidly and many students are satisfied with them. However, one challenge remains the loss of concentration due to the lack of students' copresence. Our previous work suggests that…

Human-Computer Interaction · Computer Science 2026-02-05 Saizo Aoyagi , Ryoma Okazaki , Seishiro Hara , Fumiya Ikeda , Michiya Yamamoto

While many active learning papers assume that the learner can simply ask for a label and receive it, real annotation often presents a mismatch between the form of a label (say, one among many classes), and the form of an annotation…

Machine Learning · Computer Science 2019-07-10 Peiyun Hu , Zachary C. Lipton , Anima Anandkumar , Deva Ramanan

Abundant data is the key to successful machine learning. However, supervised learning requires annotated data that are often hard to obtain. In a classification task with limited resources, Active Learning (AL) promises to guide annotators…

Computation and Language · Computer Science 2017-05-09 Markus Borg , Iben Lennerstad , Rasmus Ros , Elizabeth Bjarnason

This study aims to investigate the teachers perceptions on the use of visual aids (e.g., animation videos, pictures, films and projectors) as a motivational tool in enhancing students interest in reading literary texts. To achieve the aim…

Computers and Society · Computer Science 2013-05-29 Melor Md Yunus , Hadi Salehi , Dexter Sigan Anak John

While many methods purport to explain predictions by highlighting salient features, what aims these explanations serve and how they ought to be evaluated often go unstated. In this work, we introduce a framework to quantify the value of…

Given the importance of integrating of explainability into machine learning, at present, there are a lack of pedagogical resources exploring this. Specifically, we have found a need for resources in explaining how one can teach the…

Human-Computer Interaction · Computer Science 2022-02-22 Andreas Bueff , Ioannis Papantonis , Auste Simkute , Vaishak Belle

Education has a significant impact on both society and personal life. With the development of technology, online education has been growing rapidly over the past decade. While there are several online education studies on student behavior…

Machine Learning · Computer Science 2020-12-04 Wen Wang , Honglei Zhuang , Mi Zhou , Hanyu Liu , Beibei Li

Formative feedback is widely recognized as one of the most effective drivers of student learning, yet it remains difficult to implement equitably at scale. In large or low-resource courses, instructors often lack the time, staffing, and…

Computers and Society · Computer Science 2025-12-01 Chenyu Zhang , Xiaohang Luo

In this paper, we make an important step towards the black-box machine teaching by considering the cross-space machine teaching, where the teacher and the learner use different feature representations and the teacher can not fully observe…

Machine Learning · Statistics 2018-06-07 Weiyang Liu , Bo Dai , Xingguo Li , Zhen Liu , James M. Rehg , Le Song

Students' interactions with online tools can provide us with insights into their study and work habits. Prior research has shown that these habits, even as simple as the number of actions or the time spent on online platforms can…

Computers and Society · Computer Science 2019-05-06 Niki Gitinabard , Sarah Heckman , Tiffany Barnes , Collin F. Lynch

Teachers in conventional classrooms often ask learners to express themselves and show their thought processes by speaking out loud, drawing on a whiteboard, or even using physical objects. Despite the pedagogical value of such activities,…

Computers and Society · Computer Science 2015-07-07 Juho Kim , Elena L. Glassman , Andrés Monroy-Hernández , Meredith Ringel Morris

Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to identify human intentions from their reviews. In the education sector, opinion mining is used to listen to student opinions and enhance their…

Computation and Language · Computer Science 2023-02-10 Thanveer Shaik , Xiaohui Tao , Christopher Dann , Haoran Xie , Yan Li , Linda Galligan

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

We study student behavior and performance in two Massive Open Online Courses (MOOCs). In doing so, we present two frameworks by which video-watching clickstreams can be represented: one based on the sequence of events created, and another…

Social and Information Networks · Computer Science 2015-10-06 Christopher G. Brinton , Swapna Buccapatnam , Mung Chiang , H. V. Poor

Proof Blocks is a software tool that provides students with a scaffolded proof-writing experience, allowing them to drag and drop prewritten proof lines into the correct order instead of starting from scratch. In this paper we describe a…

Computers and Society · Computer Science 2022-12-20 Seth Poulsen , Yael Gertner , Benjamin Cosman , Matthew West , Geoffrey L. Herman

Although interactive learning puts the user into the loop, the learner remains mostly a black box for the user. Understanding the reasons behind queries and predictions is important when assessing how the learner works and, in turn, trust.…

Machine Learning · Statistics 2018-05-23 Stefano Teso , Kristian Kersting

Pen computing tools such as Tablet PC, Tablet Monitors and its various supporting software tool offer another dimension to enhance our today's digitally integrated and connected classroom learning environment. This paper first reviews the…

Computers and Society · Computer Science 2014-03-25 Hong Cao

This paper introduces a new knowledge distillation method, called education distillation (ED), which is inspired by the structured and progressive nature of human learning. ED mimics the educational stages of primary school, middle school,…

Artificial Intelligence · Computer Science 2025-03-25 Ling Feng , Tianhao Wu , Xiangrong Ren , Zhi Jing , Xuliang Duan

When executed well, project-based learning (PBL) engages students' intrinsic motivation, encourages students to learn far beyond a course's limited curriculum, and prepares students to think critically and maturely about the skills and…

Computers and Society · Computer Science 2025-03-11 Gati Aher , Robin Schmucker , Tom Mitchell , Zachary C. Lipton

Rubrics and oral feedback are approaches to help students improve performance and meet learning outcomes. However, their effect on the actual improvement achieved is inconclusive. This paper evaluates the effect of rubrics and oral feedback…

Software Engineering · Computer Science 2023-07-25 Sebastian Barney , Mahvish Khurum , Kai Petersen , Michael Unterkalmsteiner , Ronald Jabangwe