A Comparative Analysis of 3D Parametric Surface Modeling and Freeform Mesh Modeling as Tools for Investigating Student Learning

This study assesses undergraduate students’ understanding of plagiarism through the use of an interactive, Web-based tutorial, Plagiarism: The Crime of Intellectual Kidnapping. The author details the instructional design process used to create this information literacy resource and integrate it into the curriculum. Data from 2,829 student quiz scores are analyzed to assess student learning. The results of this study indicate that students have difficulty grasping concepts related to paraphrasing. A comparative analysis of pre- and posttest results shows that student scores improved an average of 6 percent.

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Comparative Analysis of Exemplar-Based Approaches for Students’ Learning Style Diagnosis Purposes

Applied Sciences ◽

10.3390/app11157083 ◽

2021 ◽

Vol 11 (15) ◽

pp. 7083

Author(s):

Daiva Goštautaitė ◽

Jevgenij Kurilov

Keyword(s):

Comparative Analysis ◽

Learning Styles ◽

Student Learning ◽

Learning Style ◽

Computational Models ◽

Driving Forces ◽

Rapid Development ◽

Case Based Reasoning ◽

Case Based ◽

Student Learning Styles

A lot of computational models recently are undergoing rapid development. However, there is a conceptual and analytical gap in understanding the driving forces behind them. This paper focuses on the integration between computer science and social science (namely, education) for strengthening the visibility, recognition, and understanding the problems of simulation and modelling in social (educational) decision processes. The objective of the paper covers topics and streams on social-behavioural modelling and computational intelligence applications in education. To obtain the benefits of real, factual data for modeling student learning styles, this paper investigates exemplar-based approaches and possibilities to combine them with case-based reasoning methods for automatically predicting student learning styles in virtual learning environments. A comparative analysis of approaches combining exemplar-based modelling and case-based reasoning leads to the choice of the Bayesian Case model for diagnosing a student’s learning style based on the data about the student’s behavioral activities performed in an e-learning environment.

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Exploring Relationship between Teaching Practice and Student Learning: Comparative Analysis Using Large Data Bases

Frontiers of Education in China ◽

10.1007/bf03397037 ◽

2014 ◽

Vol 9 (4) ◽

pp. 475-492

Author(s):

Jian Wang

Keyword(s):

Comparative Analysis ◽

Student Learning ◽

Teaching Practice ◽

Large Data ◽

Data Bases

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Collision Detection of 3D Complex Objects

20th Design Automation Conference: Volume 1 — Dynamic Mechanical Systems; Geometric Modeling and Features; Concurrent Engineering ◽

10.1115/detc1994-0043 ◽

1994 ◽

Author(s):

Rong Mo ◽

Horst Nowacki

Keyword(s):

Discrete Time ◽

Collision Detection ◽

Continuous Time ◽

Surface Modeling ◽

Second Step ◽

Time Interval ◽

Parametric Surface ◽

Complex Objects ◽

Practical Applications ◽

Detection Process

Abstract Collision detection of 3D complex objects is often needed for practical applications. In this paper, a new algorithm for testing collision is proposed. The algorithm combines the sweeping technique and a parametric surface modeling method. A collision detection process is carried out firstly in continuous time using sweeping, in order to determine a time interval for collision as early as possible. In the second step the collision detection is performed at discrete time in this time interval, so that exact collision positions and times are found.

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