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Educational stakeholders are often particularly interested in sparse, delayed student outcomes, like end-of-year statewide exams. The rare occurrence of such assessments makes it harder to identify students likely to fail such assessments,…

Computers and Society · Computer Science 2025-01-17 Ge Gao , Amelia Leon , Andrea Jetten , Jasmine Turner , Husni Almoubayyed , Stephen Fancsali , Emma Brunskill

Using robots in educational contexts has already shown to be beneficial for a student's learning and social behaviour. For levitating them to the next level of providing more effective and human-like tutoring, the ability to adapt to the…

Robotics · Computer Science 2022-12-21 Matthias Kraus , Diana Betancourt , Wolfgang Minker

Mixed-effects models fit to observational practice data are widely used in learning analytics to estimate student-level variation in initial knowledge and learning rate, and the resulting estimates increasingly inform substantive claims…

Computers and Society · Computer Science 2026-05-19 Hansol Lee , Guilherme Lichand , Cristina Barnard , Lucas Klotz , Candace Thille , Yunsung Kim , Benjamin W. Domingue

The use of the internet, and in particular web browsing, offers many potential advantages for educational institutions as students have access to a wide range of information previously not available. However, there are potential negative…

Social and Information Networks · Computer Science 2011-10-31 Scott Hazelhurst , Yestin Johnson , Ian Sanders

Understanding how educators interact and form peer networks in online professional development contexts has become increasingly important as MOOCs for educators (MOOC-Eds) proliferate. This study examines peer discussion network formation…

Applications · Statistics 2026-01-06 Shuhan Ai

In recent years, peer learning has gained attention as a method that promotes spontaneous thinking among learners, and its effectiveness has been confirmed by numerous studies. This study aims to develop an AI Agent as a learning companion…

Artificial Intelligence · Computer Science 2025-07-18 Sosui Moribe , Taketoshi Ushiama

This paper introduces a scalable causal inference framework for estimating the immediate, session-level effects of on-demand human tutoring embedded within adaptive learning systems. Because students seek assistance at moments of…

Human-Computer Interaction · Computer Science 2026-02-24 Kirk Vanacore , Danielle R Thomas , Digory Smith , Bibi Groot , Justin Reich , Rene Kizilcec

Background: Silence is a common phenomenon in classrooms, yet its implicit nature limits a clear understanding of students' underlying learning statuses. Aim: This study proposed a nuanced framework to classify classroom silence based on…

Neurons and Cognition · Quantitative Biology 2025-07-30 Mingxuan Gao , Jingjing Chen , Yun Long , Xiaomeng Xu , Yu Zhang

Human recursive numeral systems (i.e., counting systems such as English base-10 numerals), like many other grammatical systems, are highly regular. Following prior work that relates cross-linguistic tendencies to biases in learning, we ask…

Computation and Language · Computer Science 2026-04-30 Andrea Silvi , Ponrawee Prasertsom , Jennifer Culbertson , Devdatt Dubhashi , Moa Johansson , Kenny Smith

We compare how well agents aggregate information in two repeated social learning environments. In the first setting agents have access to a public data set. In the second they have access to the same data, and also to the past actions of…

Theoretical Economics · Economics 2026-05-20 Marina Agranov , Gabriel Lopez-Moctezuma , Philipp Strack , Omer Tamuz

This study employs a Bayesian Probit model to empirically analyze peer effects and herd behavior among consumers during the "Double 11" shopping festival, using data collected through a questionnaire survey. The results demonstrate that…

Econometrics · Economics 2024-12-03 Hambur Wang

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

Granovetter's "strength of weak ties" hypothesizes that isolated social ties offer limited access to external prospects, while heterogeneous social ties diversify one's opportunities. We analyze the most complete record of college student…

Social and Information Networks · Computer Science 2013-02-01 Luis M. Vaquero , Manuel Cebrian

The study reported in this paper, examines the effects of a rigorously designed introduction of Twitter in the educational process. In specific, it examines the relation between the students use of Twitter in the context of well-organized…

Computers and Society · Computer Science 2018-03-06 Smaragdi Loutou , Nikolaos Tselios , Panagiota Altanopoulou

The objective of this study is to determine Education in the Digital World from the lens of millennial learners. This also identifies the cybergogical implications of the issue with digital education as seen through the lens of the outlier.…

Computers and Society · Computer Science 2023-04-28 Jonelle Angelo S. Cenita , Zyra R. De Guzman

This paper presents a novel approach to understand specific student behavior in MOOCs. Instructors currently perceive participants only as one homogeneous group. In order to improve learning outcomes, they encourage students to get active…

Human-Computer Interaction · Computer Science 2018-09-25 Ralf Teusner , Kai-Adrian Rollmann , Jan Renz

The use of new technologies in higher education has surprisingly emphasized students' tendency to adopt a passive behavior in class. Participation and interaction of students are essential to improve academic results. This paper describes…

Automated voice calls with health information are a proven method for disseminating maternal and child health information among beneficiaries and are deployed in several programs around the world. However, these programs often suffer from…

Artificial Intelligence · Computer Science 2025-07-29 Arpan Dasgupta , Sarvesh Gharat , Neha Madhiwalla , Aparna Hegde , Milind Tambe , Aparna Taneja

Conversational teachable agents offer a promising platform to support learning, both in the classroom and in remote settings. In this context, the agent takes the role of the novice, while the student takes on the role of teacher. This…

Human-Computer Interaction · Computer Science 2024-10-28 Rachel Love , Edith Law , Philip R. Cohen , Dana Kulić

Though recent technological advances have enabled note-taking through different modalities (e.g., keyboard, digital ink, voice), there is still a lack of understanding of the effect of the modality choice on learning. In this paper, we…

Human-Computer Interaction · Computer Science 2020-12-08 Anam Ahmad Khan , Sadia Nawaz , Joshua Newn , Jason M. Lodge , James Bailey , Eduardo Velloso