Open AccessJournal Article
Mining Learning Preferences in Web-based Instruction: Holists vs. Serialists
TL;DR: A data mining approach is used and there are clear differences in regard to content presentation and navigation support between Holists and Serialists, which was produced to help designers incorporate cognitive styles into the development of Web-based instruction programs to ensure they can accommodate learners' different preferences.
read more
Abstract: Web-based instruction programs are used by learners with diverse knowledge, skills and needs. These differences determine their preferences for the design of Web-based instruction programs and ultimately influence learners' success in using them. Cognitive style has been found to significantly affect learners' preferences of web-based instruction programs. However, the majority of previous studies focus on Field Dependence/Independence. Pask's Holist/Serialist dimension has conceptual links with Field Dependence/Independence but it is left mostly unstudied. Therefore, this study focuses on identifying how this dimension of cognitive style affects learner preferences of Web-based instruction programs. A data mining approach is used to illustrate the difference in preferences between Holists and Serialists. The findings show that there are clear differences in regard to content presentation and navigation support. A set of design features were then produced to help designers incorporate cognitive styles into the development of Web-based instruction programs to ensure that they can accommodate learners' different preferences.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
•Journal Article
The Effects of Game-Based Learning on Mathematical Confidence and Performance: High Ability vs. Low Ability.
TL;DR: This study tried to promote students’ confidence toward mathematics by using game-based learning (GBL), and demonstrated that this approach yielded better outcomes than the paper-based setting in both students' confidence and students' performance.
•Journal Article
A Cognitive Apprenticeship Approach to Facilitating Web-Based Collaborative Problem Solving
TL;DR: The results indicate that Field Dependent learners can get great benefits from the cognitive apprenticeship model via collaborative learning, and implications for how to accommodate the needs of different cognitive style groups are discussed.
64
Incorporating customization and personalization into game-based learning
TL;DR: The results from the customized game-based learning system showed that Holists might not always favor to listen to music because they frequently switched on/off music and Serialists did not prefer to use hints.
55
The influences of cognitive styles on individual learning and collaborative learning
Sherry Y. Chen,Li Ping Chang +1 more
TL;DR: In this article, the authors examined how cognitive styles affect students' learning preferences and found that there is a need to provide Serialists with additional support regardless of either individual learning (IL) or collaborative learning (CL).
35
References
•Book
Data Mining: Concepts and Techniques
Jiawei Han,Micheline Kamber,Jian Pei +2 more
- 08 Sep 2000
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
•Book
C4.5: Programs for Machine Learning
J. Ross Quinlan
- 15 Oct 1992
TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
27.2K
•Book
Classification and regression trees
Leo Breiman
- 01 Jan 1983
TL;DR: The methodology used to construct tree structured rules is the focus of a monograph as mentioned in this paper, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
22.7K
•Book
Neural networks for pattern recognition
Christopher M. Bishop
- 01 Jan 1995
TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.