Learning analytics to support teachers' assessment of problem solving: A novel application for machine learning and graph algorithms
In contrast to well-structured problems which have pre-defined, correct answers, complex
real-world problems are often ill-structured problems (ISPs). The open-ended nature of ISPs …
real-world problems are often ill-structured problems (ISPs). The open-ended nature of ISPs …
Using a learning analytics tool for evaluation in self-regulated learning
In self-regulated learning, evaluation is a complex task of the teaching process, but even
more if students have social media that allow them to build their personal learning …
more if students have social media that allow them to build their personal learning …
Novel machine learning approach for automatic employees' soft skills assessment: Group collaboration analysis case study
Machine Learning (ML) based assessment of soft skills is a challenging domain in social
computing. In today's enterprises, soft skills are regarded as one of the most crucial …
computing. In today's enterprises, soft skills are regarded as one of the most crucial …
The role of temporal patterns in students' behavior for predicting course performance: A comparison of two blended learning courses
A van Leeuwen, N Bos… - British Journal of …, 2019 - Wiley Online Library
In higher education, many studies have tried to establish which student activities predict
achievement in blended courses, with the aim of optimizing course design. In this paper, we …
achievement in blended courses, with the aim of optimizing course design. In this paper, we …
Student modeling: Supporting personalized instruction, from problem solving to exploratory open ended activities
The field of intelligent tutoring systems has successfully delivered techniques and
applications to provide personalized coaching and feedback for problem solving in a variety …
applications to provide personalized coaching and feedback for problem solving in a variety …
Using the tablet gestures and speech of pairs of students to classify their collaboration
SA Viswanathan, K VanLehn - IEEE Transactions on Learning …, 2017 - ieeexplore.ieee.org
Effective collaboration between student peers is not spontaneous. A system that can
measure collaboration in real-time may be useful, as it could alert an instructor to pairs that …
measure collaboration in real-time may be useful, as it could alert an instructor to pairs that …
Cluster analysis in personalized e-learning systems
D Zakrzewska - Intelligent systems for knowledge management, 2009 - Springer
Personalized e-learning system should be tailored into student needs, which usually differ
even among learners, who attend the same course and have similar technical skills. In the …
even among learners, who attend the same course and have similar technical skills. In the …
Learner groups in massive open online courses
S Arora, M Goel, AS Sabitha… - American Journal of …, 2017 - Taylor & Francis
The open nature of Massive Open Online Courses (MOOCs) attracts a large number of
learners with different backgrounds, skills, motivations, and goals. This has brought a need …
learners with different backgrounds, skills, motivations, and goals. This has brought a need …
An empirical study of using sequential behavior pattern mining approach to predict learning styles
The learning style of a learner is an important parameter in his learning process. Therefore,
learning styles should be considered in the design, development, and implementation of e …
learning styles should be considered in the design, development, and implementation of e …
Applying a framework for student modeling in exploratory learning environments: Comparing data representation granularity to handle environment complexity
Interactive simulations can facilitate inquiry learning. However, similarly to other Exploratory
Learning Environments, students may not always learn effectively in these unstructured …
Learning Environments, students may not always learn effectively in these unstructured …