Results 31 to 40 of about 2,421,529 (145)

Building A Smart Academic Advising System Using Association Rule Mining [PDF]

open access: yesarXiv, 2014
In an academic environment, student advising is considered a paramount activity for both advisors and student to improve the academic performance of students. In universities of large numbers of students, advising is a time-consuming activity that may take a considerable effort of advisors and university administration in guiding students to complete ...
arxiv  

Sequence Modelling For Analysing Student Interaction with Educational Systems [PDF]

open access: yesarXiv, 2017
The analysis of log data generated by online educational systems is an important task for improving the systems, and furthering our knowledge of how students learn. This paper uses previously unseen log data from Edulab, the largest provider of digital learning for mathematics in Denmark, to analyse the sessions of its users, where 1.08 million student
arxiv  

Assisting Tibetan Students in Learning Quantum Mechanics via Mathematica [PDF]

open access: yesarXiv
Undergraduate students of physics in Tibet have great difficulty learning quantum mechanics (QM). We attempt to use PER-based methods to help Tibetan students learn QM. In this preliminary study, we incorporate Mathematica in a QM course at Tibet University and record students' learning experiences.
arxiv  

Student Resources in Quantum Mechanics, or Why Students Need Meta-resources [PDF]

open access: yesarXiv, 2002
We are trying to identify resources students are using to reason in quantum mechanics. In this process we realize students must have not only the right resources available but sophisticated for evaluating and controlling their thought processes. We will discuss examples from student interviews to illustrate our point.
arxiv  

T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System [PDF]

open access: yesarXiv, 2017
We develop T-SKIRT: a temporal, structured-knowledge, IRT-based method for predicting student responses online. By explicitly accounting for student learning and employing a structured, multidimensional representation of student proficiencies, the model outperforms standard IRT-based methods on an online response prediction task when applied to real ...
arxiv  

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