Study on student performance estimation, student progress analysis, and student potential prediction based on data mining

F Yang, FWB Li - Computers & Education, 2018 - Elsevier
Student performance, student progress and student potential are critical for measuring
learning results, selecting learning materials and learning activities. However, existing work …

Recommending remedial learning materials to students by filling their knowledge gaps

K Bauman, A Tuzhilin - MIS Quarterly, 2018 - JSTOR
We study the problem of providing recommendations to students that help them in their
studies. To address this problem, we present an approach of providing recommendations of …

Predicting school performance and early risk of failure from an intelligent tutoring system

M Haridas, G Gutjahr, R Raman, R Ramaraju… - Education and …, 2020 - Springer
In many rural Indian schools, English is a second language for teachers and students.
Intelligent tutoring systems have good potential because they enable students to learn at …

Intelligent performance assessment of students' laboratory work in a virtual electronic laboratory environment

IE Achumba, D Azzi, VL Dunn… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Laboratory work is critical in undergraduate engineering courses. It is used to integrate
theory and practice. This demands that laboratory activities are synchronized with lectures to …

Student modeling in an intelligent tutoring system

M Feng, N Heffernan, K Koedinger - Intelligent tutoring systems in e …, 2011 - igi-global.com
Student modeling and cognitively diagnostic assessment are important issues that need to
be addressed for the development and successful application of intelligent tutoring systems …

Immersive intelligent tutoring system for remedial learning using virtual learning environment

R Rasim, Y Rosmansyah, AZR Langi… - Indonesian Journal of …, 2021 - ejournal.kjpupi.id
Intelligent Tutoring System (ITS) has been widely used in supporting personal learning.
However, there is an aspect that have not become focus in ITS, namely immersive. This …

Item to skills mapping: deriving a conjunctive q-matrix from data

MC Desmarais, B Beheshti, R Naceur - … Chania, Crete, Greece, June 14-18 …, 2012 - Springer
Uncovering which skills are determining the success to questions and exercises is a
fundamental task in ITS. This task is notoriously difficult because most exercise and question …

Using an intelligent tutoring system to predict mathematics and english assessments

G Gutjahr, K Menon… - 2017 5th IEEE international …, 2017 - ieeexplore.ieee.org
Intelligent tutoring systems (ITS) supplement traditional learning by providing personalized
instruction. Predicting student performance in formative and summative assessments can …

Objective evidence-based worker skill profiling and training activation

S Thomaidou, S Manganaris, ED Braun… - US Patent …, 2021 - Google Patents
Methods, computer program products, and systems are presented. The method computer
program products, and systems can include, for instance: parameterizing with train ing data …

Back to the Future: A Non-Automated Method of Constructing Transfer Models.

M Feng, J Beck - International Working Group on Educational Data …, 2009 - ERIC
Representing domain knowledge is important for constructing educational software, and
automated approaches have been proposed to construct and refine such models. In this …