Student Engagement Predictions in an e‐Learning System and Their Impact on Student Course Assessment Scores
Several challenges are associated with e‐learning systems, the most significant of which is
the lack of student motivation in various course activities and for various course materials. In …
the lack of student motivation in various course activities and for various course materials. In …
Predicting user knowledge gain in informational search sessions
Web search is frequently used by people to acquire new knowledge and to satisfy learning-
related objectives. In this context, informational search missions with an intention to obtain …
related objectives. In this context, informational search missions with an intention to obtain …
Better, funner, stronger: a gameful approach to nudge people into making less predictable graphical password choices
Graphical user authentication (GUA) is a common alternative to text-based user
authentication, where people are required to draw graphical passwords on background …
authentication, where people are required to draw graphical passwords on background …
Using interaction data to predict engagement with interactive media
Media is evolving from traditional linear narratives to personalised experiences, where
control over information (or how it is presented) is given to individual audience members …
control over information (or how it is presented) is given to individual audience members …
Characterising student engagement modes through low-level activity patterns
A Gledson, A Apaolaza, S Barthold, F Günther… - Proceedings of the 29th …, 2021 - dl.acm.org
Existing approaches to characterise engagement in online learning focus on features of the
interaction of students with the learning platform including the number of posts in forums …
interaction of students with the learning platform including the number of posts in forums …
Inferring user engagement from interaction data
This paper presents preliminary results of a study designed to quantify users' engagement
levels with interactive media content, through self-reported measures and interaction data …
levels with interactive media content, through self-reported measures and interaction data …
Using principal component analysis to better understand behavioral measures and their effects
J Arguello, A Crescenzi - Proceedings of the 2019 ACM SIGIR …, 2019 - dl.acm.org
An important question in interactive IR research is: What do search behaviors tell us about
specific task characteristics, post-task perceptions, and post-task outcomes such as …
specific task characteristics, post-task perceptions, and post-task outcomes such as …
Searching for Engagement: Child Engagement and Search Engine Result Pages
B Bettencourt, A Ahmed, N Way, C Kennington… - Proceedings of the 21st …, 2022 - dl.acm.org
In this paper, we explore how children engage with search engine result pages (SERP)
generated by a popular search API in response to their online inquiries. We do so to further …
generated by a popular search API in response to their online inquiries. We do so to further …
A content engagement score for online learning platforms
Engagement on online learning platforms is essential for user retention, learning, and
performance. However, there is a paucity of research addressing latent engagement …
performance. However, there is a paucity of research addressing latent engagement …
[PDF][PDF] 信息搜索用户的学习投入影响研究: 基于Kolb 学习风格与认知弹性理论
孙晓宁, 季馥春, 刘思琦 - 情报学报, 2023 - qbxb.istic.ac.cn
摘要作为学习科学持续关注的一个话题, 学习投入的研究范畴越发广泛.“搜索即学习”
让人们同时对交互式信息检索与学习活动产生了别样的认识. 探究学习投入的影响因素有助于 …
让人们同时对交互式信息检索与学习活动产生了别样的认识. 探究学习投入的影响因素有助于 …