Personality Scales and Learning Styles

2013 ◽  
pp. 161-182
Author(s):  
Anshu Saxena Arora ◽  
Mahesh S. Raisinghani ◽  
Reginald Leseane ◽  
Lemaro Thompson
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Cognitive Abilities ◽  
Positive Impact ◽  
Human Mind ◽  
Learning Preferences ◽  
Web Based ◽  
Team Interaction ◽  
Learning Patterns ◽  
Academic Grades

There is a vast body of literature that indicates students not having homogeneous learning patterns. Just as the students vary, their learning styles, cognitive abilities, and learning preferences vary; similarly, instructors employ different teaching methods. Numerous researchers have hypothesized that when students’ unique learning dimensions are matched with similar teaching styles, it can have a significant positive impact in regards to students’ grasp on information, their satisfaction with the course, improved academic grades, and group/team interaction. However, it is rigorously debated what these dimensions are, if they are fixed or changeable, and which scale gives the most accurate purview into the various learning dimensions of students. This paper explores the behavior and learning style of the human mind and its capacity in different learning environment. The authors examine theory, similarities, differences, and implications of the five relevant learning models discussed in the paper. Analyzing and interpreting these learning styles and behaviors will help the reader employ the best scale or combination of scales that should be used in the creation of Web-based learning environments (WBLE) for students and adapting WBLE to their particular learning styles and preferences.

Personality Scales and Learning Styles

2011 ◽  
Vol 1 (1) ◽  
pp. 29-49 ◽  
Author(s):  
Anshu Saxena Arora ◽  
Mahesh S. Raisinghani ◽  
Reginald Leseane ◽  
Lemaro Thompson
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Cognitive Abilities ◽  
Positive Impact ◽  
Human Mind ◽  
Learning Preferences ◽  
Web Based ◽  
Team Interaction ◽  
Learning Patterns ◽  
Academic Grades

There is a vast body of literature that indicates students not having homogeneous learning patterns. Just as the students vary, their learning styles, cognitive abilities, and learning preferences vary; similarly, instructors employ different teaching methods. Numerous researchers have hypothesized that when students’ unique learning dimensions are matched with similar teaching styles, it can have a significant positive impact in regards to students’ grasp on information, their satisfaction with the course, improved academic grades, and group/team interaction. However, it is rigorously debated what these dimensions are, if they are fixed or changeable, and which scale gives the most accurate purview into the various learning dimensions of students. This paper explores the behavior and learning style of the human mind and its capacity in different learning environment. The authors examine theory, similarities, differences, and implications of the five relevant learning models discussed in the paper. Analyzing and interpreting these learning styles and behaviors will help the reader employ the best scale or combination of scales that should be used in the creation of Web-based learning environments (WBLE) for students and adapting WBLE to their particular learning styles and preferences.

A Unified Learning Style Model for Technology-Enhanced Learning

2010 ◽  
Vol 8 (3) ◽  
pp. 65-81 ◽  
Author(s):  
Elvira Popescu
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Educational System ◽  
Critical Analysis ◽  
Learning Preferences ◽  
Social Aspects ◽  
Traditional Learning ◽  
Technology Enhanced Learning ◽  
Web Based ◽  
Enhanced Learning

This paper deals with the use of learning styles in technology-enhanced learning by introducing a “Unified Learning Style Model” (ULSM). The article aims at providing answers to three main questions: “What is ULSM?”, “Why do we need it?” and “How can we use it?” First, a critical analysis regarding learning styles is provided; the identified challenges are addressed by proposing the use of a new model, specifically designed for TEL use. This model integrates learning preferences extracted from several traditional learning style models, related to perception modality in a way for processing and organizing information, as well as motivational and social aspects. A detailed description of the ULSM components is provided together with its rationale and its advantages. The practical applicability of the model is also shown by briefly introducing an adaptive web-based educational system based on it (called WELSA).

Integrating Individual Differences in Adaptive Educational Systems

2012 ◽  
pp. 94-118
Author(s):  
Elvira Popescu
Keyword(s):  
Individual Differences ◽  
Learning Styles ◽  
Learning Style ◽  
Learning Preferences ◽  
Traditional Learning ◽  
Educational Systems ◽  
Technology Enhanced Learning ◽  
Web Based ◽  
Adaptive Educational Systems ◽  
The Individual

The chapter provides an overview of the individual differences that have an impact on the learning process and that are currently integrated in adaptive educational systems (AES). The focus is on one of these human factors in particular, namely learning style, which constitutes a popular source of adaptation in recent AES, but also one of the most controversial. The chapter includes a critical analysis of learning styles and their use in technology-enhanced learning settings, motivating the need for a Unified Learning Style Model (ULSM). This model integrates a carefully selected set of learning preferences extracted from several traditional learning style models, related to perception modality, way of processing and organizing information, as well as motivational and social aspects. The practical applicability of the model is also shown by briefly introducing an adaptive Web-based educational system built on it (called WELSA) and reporting the encouraging experimental results obtained so far. The use of ULSM in the emerging Web 2.0 context is also envisioned, by proposing the addition of a social learning dimension to WELSA.

scholarly journals A Web-based Instrument to Initialize Learning Style: An Interactive Questionnaire Instrument

2018 ◽  
Vol 13 (12) ◽  
pp. 238 ◽  
Author(s):  
Doniyorbek Qambaralievich Ahmadaliev ◽  
Chen Xiaohui ◽  
Murodjon Abduvohidov
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning Objects ◽  
Learning Preferences ◽  
Web Based ◽  
Learning And Teaching ◽  
Effective Learning ◽  
Initial Learning ◽  
Study Results ◽  
Very High

Being able to detect and address individual learners’ learning preferences can be a basis for effective learning and teaching. Many researches are contributing to define the potential differences of individual preferences in learning. In this paper, we present an interactive Web-based instrument to initiate students’ learning style. The instrument uses learner’s interaction with learning objects as hint and representing them as the students’ learning style. By applying the instrument, we have been able to detect initial learning styles accurately. Evaluation of our experimental results showed high precision. Besides, very high satisfactory feedbacks were received from students. Based on the mentioned benefits and study results, our method has potential influence on defining individual’s preference in learning

An empirical investigation on learning and teaching lean manufacturing

2020 ◽  
Vol 62 (3) ◽  
pp. 339-354
Author(s):  
Guilherme Luz Tortorella ◽  
Rogério Miorando ◽  
Diego Fettermann ◽  
Diego Tlapa Mendoza
Keyword(s):  
Graduate Students ◽  
Learning Styles ◽  
Learning Style ◽  
Teaching Methods ◽  
Lean Manufacturing ◽  
Teaching Method ◽  
Learning Preferences ◽  
Teaching Approaches ◽  
Content Type ◽  
Learning And Teaching

PurposeThis article identifies the association between two methods for teaching lean manufacturing (LM): problem-based learning (PBL) and classroom lectures, and students' learning styles of a postgraduate course.Design/methodology/approachData were collected from graduate students LM courses that present different teaching approaches. Thus, students' learning preferences were gathered through the application of the Index of Learning Style questionnaire, and their performance assessed after each course.FindingsResults indicate that learning styles are indeed associated with LM teaching approaches, and comprehending interaction effects between learning style dimensions is essential for properly adapting the teaching method. However, these interactions have different extensions.Originality/valueAlthough teaching LM has significantly evolved over the past decades, the single application of traditional teaching methods jeopardizes learning effectiveness of graduate students because of the practical nature of LM. This study provides evidence to better understand the effect of complementary teaching methods and their relationship with students' preferences, empirically examining that there is not one best approach for understanding LM.

Knowledge Mining for Adaptive Multimedia Web-Based Educational Platform

2008 ◽  
pp. 205-257 ◽  
Author(s):  
Leyla Zhuhadar ◽  
Olfa Nasraoui ◽  
Robert Wyatt
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Intelligent System ◽  
Learning Material ◽  
Online Information ◽  
Learning Sequence ◽  
Online Students ◽  
User Models ◽  
Web Based ◽  
The Web

This chapter introduces an Adaptive Web-Based Educational platform that maximizes the usefulness of the online information that online students retrieve from the Web. It shows in a data driven format that information has to be personalized and adapted to the needs of individual students; therefore, educational materials need to be tailored to fit these needs: learning styles, prior knowledge of individual students, and recommendations. This approach offers several techniques to present the learning material for different types of learners and for different learning styles. User models (user profiles) are created using a combination of clustering techniques and association rules mining. These models represent the learning technique, learning style, and learning sequence, which can help improve the learning experience on the Web site for new users. Furthermore, the user models can be used to create an intelligent system that provides recommendations for future online students whose profile matches one of the mined profiles that represents the discovered user models.

scholarly journals Learning Style Preferences Among Undergraduate Medical Students: An Experience from Different Medical Colleges of Bangladesh

2019 ◽  
Vol 10 (2) ◽  
pp. 26-30
Author(s):  
Md Rezaul Karim ◽  
AKM Asaduzzaman ◽  
Md Humayun Kabir Talukder ◽  
Kazi Khairul Alam ◽  
Farhana Haque ◽  
...  
Keyword(s):  
Medical Students ◽  
Learning Styles ◽  
Learning Style ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Learning Preferences ◽  
Multimodal Learning ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Medical Colleges

This descriptive type of cross sectional study was conducted to determine the learning styles of undergraduate medical students. The study period was from July 2017 to June 2018. The study was carried out among the students of 2nd, 3rd and 4th phases of MBBS course of 3 government and 4 non-government medical colleges of Bangladesh. Out of 7 medical colleges, 4 were within Dhaka and 3 were from outside Dhaka. The sample size was 1004 students. Medical colleges were selected purposively and convenience sampling technique was adopted for data collection. Bangla translated version Fleming's VARK (visual, auditory, read/write and kinesthetic) questionnaire was used to identify the learning styles of students. The study revealed that out of 1004 medical students, 64.2% preferred multimodal learning styles and rest 35.8% preferred unimodal learning styles. Among unimodal learning preferences, auditory (A) and kinesthetic (K) were the most preferred sensory modalities of learning. Among multimodal learning styles preferences, the combination of auditory & kinesthetic (AK) and auditory, read/write & kinesthetic (ARK) were predominant. There were only significant differences of the mean scores of visual (V) learning style among the male and female students. Majority of students preferred multimodal learning styles. Students are able to learn effectively as long as the teacher provides a blend of visual, auditory, read/writing and kinesthetic activates. The study recommended that teachers should be aware of the medical students' learning styles and aligning teaching-learning methods with learning styles will improve their learning and academic performance. Bangladesh Journal of Medical Education Vol.10(2) 2019: 26-30

scholarly journals The learning style preferences of chiropractic students: A cross-sectional study

2014 ◽  
Vol 28 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Stephney Whillier ◽  
Reidar P. Lystad ◽  
David Abi-Arrage ◽  
Christopher McPhie ◽  
Samara Johnston ◽  
...  
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Cross Sectional Study ◽  
Learning Preferences ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Learning Style Preferences ◽  
Kinesthetic Learning ◽  
Style Preferences ◽  
Chiropractic Students

Objective The aims of our study were to measure the learning style preferences of chiropractic students and to assess whether they differ across the 5 years of chiropractic study. Methods A total of 407 (41.4% females) full-degree, undergraduate, and postgraduate students enrolled in an Australian chiropractic program agreed to participate in a cross-sectional survey comprised of basic demographic information and the Visual, Aural, Read/Write, Kinesthetic (VARK) questionnaire, which identifies learning preferences on four different subscales: visual, aural, reading/writing, and kinesthetic. Multivariate analysis of variance and the χ2 test were used to check for differences in continuous (VARK scores) and categorical (VARK category preference) outcome variables. Results The majority of chiropractic students (56.0%) were found to be multimodal learners. Compared to the other learning styles preferences, kinesthetic learning was preferred by a significantly greater proportion of students (65.4%, p < .001) and received a significantly greater mean VARK score (5.66 ± 2.47, p < .001). Conclusions To the best of our knowledge, this is the first time chiropractic students have been shown to be largely multimodal learners with a preference for kinesthetic learning. While this knowledge may be beneficial in the structuring of future curricula, more thorough research must be conducted to show any beneficial relationship between learning style preferences and teaching methods.

scholarly journals Book Review: Learning Style Perspectives: Impact in the Classroom

2015 ◽  
Vol 12 (1) ◽  
pp. 120-122
Author(s):  
Kathryn Harden-Thew ◽  
◽  
Romy Lawson ◽  
Keyword(s):  
Learning Styles ◽  
Postsecondary Education ◽  
Learning Style ◽  
Learning Preferences ◽  
Course Content ◽  
Entry Level ◽  
The Third ◽  
Careful Thought ◽  
Practical Nature

Following the first two editions of her book, which she wrote solo, Celli has joined forces with colleague N D Young for the third edition. Celli and Young have prepared this book with the goal of giving instructors in postsecondary education “a primer on learning styles” (p.11). In a review of the second edition, Kovac (1999) highlighted the importance for educators of understanding the learning styles of their students to better present course content. Fifteen years later this statement remains true. With Kovac’s own teaching background in chemistry, he noted that it was challenging to address the differing learning preferences of all students in his classes. He pointed to the practical nature of Celli’s book in addressing these needs and offering pedagogic solutions. This third edition appears to have altered little, with an entry-level overview of learning-style theory, followed by an explanation of Celli and Young’s own learning-style theory. Celli and Young set out to address the struggle of every educator who seeks to improve pedagogic practice in the classroom through careful thought, planning and innovative implementation.

scholarly journals METODE INCREMENTAL DALAM MEMBANGUN APLIKASI IDENTIFIKASI GAYA BELAJAR UNTUK MENINGKATKAN HASIL BELAJAR SISWA

2019 ◽  
Vol 4 (1) ◽  
pp. 42-49
Author(s):  
Muhamad Syarif ◽  
Wahyu Nugraha
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning Process ◽  
Individual Learning ◽  
Web Based ◽  
Incremental Methods ◽  
Web Based Learning ◽  
The Individual ◽  
Answering Questions ◽  
Different Levels

Abstrak Belajar dapat diartikan sebagai proses dari suatu individu yang mengalami perubahan perilakunya akibat bertambahnya pengalaman. Kemampuan seseorang dalam memahami dan menyerap informasi ketika proses belajar pasti berbeda tingkat waktunya, ada yang cepat, sedang maupun lambat. Perbedaan kecepatan ini dipengaruhi beberapa faktor, salah satu faktornya adalah cara atau gaya belajar dari individu tersebut. Gaya belajar memiliki 3 jenis yaitu visual, audio dan kinestetik, pelajar dapat mengetahui gaya belajar yang sesuai dengan cara melakukan tes dengan menjawab pertanyaan-pertanyaan yang berkaitan dengan cara belajar individu. Tujuan penelitian ini yaitu membuat aplikasi identifikasi gaya belajar berbasis web menggunakan metode incremental. Diharapkan dengan adanya penelitian ini dapat memberikan kontribusi kepada pelajar agar menemukan gaya belajarnya dan berdampak pada pemahaman menyerap informasi ketika proses belajar lebih cepat. Kata kunci : gaya belajar, visual, audio, kinestetik, metode incremental Abstract Learning can be interpreted as the process of an individual who experiences changes in behavior due to increased experience. The ability of a person to understand and absorb information when the learning process must be different levels of time, some are fast, medium or slow. This speed difference is influenced by several factors, one of the factors is the way or learning style of the individual. Learning styles have 3 types, namely visual, audio and kinesthetic, students can find out the appropriate learning style by doing tests by answering questions related to individual learning methods. The purpose of this study is to create a web-based learning style identification application using incremental methods. It is expected that this research can contribute to students to find their learning styles and have an impact on understanding absorbing information when the learning process is faster. Keywords : learning style, visual, audio, kinesthetic, incremental methods

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