Online at-risk student identification using RNN-GRU joint neural networks

Y He, R Chen, X Li, C Hao, S Liu, G Zhang, B Jiang - Information, 2020 - mdpi.com
Although online learning platforms are gradually becoming commonplace in modern
society, learners' high dropout rates and serious academic performance require more …

Penetrating the black box of time-on-task estimation

V Kovanović, D Gašević, S Dawson… - Proceedings of the fifth …, 2015 - dl.acm.org
All forms of learning take time. There is a large body of research suggesting that the amount
of time spent on learning can improve the quality of learning, as represented by academic …

Assessing individual contributions to collaborative problem solving: a network analysis approach

Z Swiecki, AR Ruis, C Farrell, DW Shaffer - Computers in Human Behavior, 2020 - Elsevier
Abstract Collaborative Problem Solving (CPS) is an interactive, interdependent, and
temporal process. However, current methods for measuring the CPS processes of …

Exploring regulatory processes during a computer-supported collaborative learning task using process mining

C Schoor, M Bannert - Computers in Human Behavior, 2012 - Elsevier
The purpose of this study was to explore sequences of social regulatory processes during a
computer-supported collaborative learning task and their relationship to group performance …

Analyzing process data from problem-solving items with n-grams: Insights from a computer-based large-scale assessment

Q He, M Von Davier - Handbook of research on technology tools for …, 2016 - igi-global.com
This chapter draws on process data recorded in a computer-based large-scale program, the
Programme for International Assessment of Adult Competencies (PIAAC), to address how …

[图书][B] Big data for qualitative research

KA Mills - 2019 - library.oapen.org
Big Data for Qualitative Research covers everything small data researchers need to know
about big data, from the potentials of big data analytics to its methodological and ethical …

A survey on educational data mining and research trends

R Jindal, MD Borah - International Journal of Database …, 2013 - search.proquest.com
Abstract Educational Data Mining (EDM) is an emerging field exploring data in educational
context by applying different Data Mining (DM) techniques/tools. It provides intrinsic …

Analyzing the temporal evolution of students' behaviors in open-ended learning environments

JS Kinnebrew, JR Segedy, G Biswas - Metacognition and learning, 2014 - Springer
Metacognition and self-regulation are important for developing effective learning in the
classroom and beyond, but novice learners often lack effective metacognitive and self …

Introduction to the special section on educational data mining

T Calders, M Pechenizkiy - Acm Sigkdd Explorations Newsletter, 2012 - dl.acm.org
Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which
methods and techniques for exploring data originating from various educational information …

Data mining applications in university information management system development

M Zhang, J Fan, A Sharma, A Kukkar - Journal of Intelligent Systems, 2022 - degruyter.com
Nowadays, the modern management is promoted to resolve the issue of unreliable
information transmission and to provide work efficiency. The basic aim of the modern …