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Open social student modeling: Visualizing student models with parallel introspectiveviews [PDF]
, 2011 This paper explores a social extension of open student modeling that we call open social student modeling. We present a specific implementation of this approach that uses parallel IntrospectiveViews to visualize models representing student progress with ...
Bakalov, F +3 more
core +3 more sources
EFEKTIFITAS TEKNIK MODELING SIMBOLIS UNTUK MENINGKATKAN MOTIVASI BERPRESTASI SISWA SMP NEGERI 2 MINASATENE [PDF]
JURKAM (Jurnal Konseling Andi Matappa), 2017 The purpose of this research is (1) To determine student achievement motivation level overview of SMP Negeri 2 Minasatene, (2) To determine the effectiveness of modeling symbolic techniques in improving student achievement motivation SMP Negeri 2 ...
Ardila Pratiwi
doaj +2 more sources
IEEE Access, 2022 While data privacy is a key aspect of Learning Analytics, it often creates difficulty when promoting research into underexplored contexts as it limits data sharing.
Brendan Flanagan +2 more
doaj +1 more source
Utilizing Social Clustering-Based Regression Model for Predicting Student’s GPA
IEEE Access, 2022 The importance of e-learning has exceeded expectations over the past decade. Accordingly, several systems have been developed in completing intelligent assistive tools where students’ behavior can be tracked and followed with suitable ...
Yomna M. I. Hassan +2 more
doaj +1 more source
Frontiers in Artificial Intelligence, 2022 Student characteristics affect their willingness and ability to acquire new knowledge. Assessing and identifying the effects of student characteristics is important for online educational systems.
Fidelia A. Orji, Julita Vassileva
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Representing Time Series Data in Intelligent Training Systems
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Many of the most popular intelligent training systems, including driving and flight simulators, generate user time series data. This paper presents a comparison of representation options for two different student modeling problems: 1) early failure ...
Shengnan Hu +5 more
doaj +1 more source
Student Modeling and Analysis in Adaptive Instructional Systems
IEEE Access, 2022 There is a growing interest in developing and implementing adaptive instructional systems to improve, automate, and personalize student education. A necessary part of any such adaptive instructional system is a student model used to predict or analyze ...
Jing Liang +7 more
doaj +1 more source
Mining student coding behaviors in a programming MOOC: there are no actionable learner stereotypes
Educational Technology Quarterly, 2023 Education often involves categorizing students into broad groups based on perceived attributes like academic abilities, learning pace, and unique challenges. However, the validity and applicability of these stereotypes require closer examination.
Muskan Yadav
doaj +1 more source
Learning Bayesian Networks for Student Modeling [PDF]
, 2015 In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this difficult task.
Belmonte-Martinez, Maria Victoria +3 more
core +1 more source
Knowledgezoom for java: A concept-based exam study tool with a zoomable open student model [PDF]
, 2013 This paper presents our attempt to develop a personalized exam preparation tool for Java/OOP classes based on a fine-grained concept model of Java knowledge.
Baishya, D +4 more
core +1 more source