Survey of Students' Perception and the Influence of Learning Style Preferences on Learner's Intention to Use 3D Visualization Instruction

2019 ◽  
pp. 349-368
Author(s):  
Yu-Hsin Hung ◽  
Ray I. Chang ◽  
Chun Fu Lin

3D visualization specifically has been widely applied in a broad range of fields, including computer science, pedagogy, and so forth. 3D visualization instruction has become the essential tool that uses computer programs to generate 3D representations of manmade objects. For users, 3D visualization instruction can be manipulated, altered and efficiently communicated to others, and it is efficient for teaching and learning. The aim of this study is investigating students' perception toward 3D visualization instruction, and the influence of learning-style preferences on learners' intentions to use 3D visualization instruction. We are trying to develop the experiment which undergraduate students participated in this study, the purpose of which was to investigate the utilize 3D visualization instruction access to the single learning style and multiple learning styles. Data mining technology was employed in this study to identify multiple learning styles. The result showed that high visual and high sensing learning style has potential of using 3D visualization instruction.

Author(s):  
Yu-Hsin Hung ◽  
Ray I. Chang ◽  
Chun Fu Lin

3D visualization specifically has been widely applied in a broad range of fields, including computer science, pedagogy, and so forth. 3D visualization instruction has become the essential tool that uses computer programs to generate 3D representations of manmade objects. For users, 3D visualization instruction can be manipulated, altered and efficiently communicated to others, and it is efficient for teaching and learning. The aim of this study is investigating students' perception toward 3D visualization instruction, and the influence of learning-style preferences on learners' intentions to use 3D visualization instruction. We are trying to develop the experiment which undergraduate students participated in this study, the purpose of which was to investigate the utilize 3D visualization instruction access to the single learning style and multiple learning styles. Data mining technology was employed in this study to identify multiple learning styles. The result showed that high visual and high sensing learning style has potential of using 3D visualization instruction.


2022 ◽  
Vol 7 (1) ◽  
pp. 390-409
Author(s):  
Nadia Nur Afiqah Ismail ◽  
Tina Abdullah ◽  
Abdul Halim Abdul Raof

Background and Purpose: Education at higher institutions prepares graduates for the real world. To develop and maintain quality, the focus must not only be on what institutions can offer but also on the learning needs and styles of learners. Despite many studies on engineering learners’ learning styles, limited research has been conducted to compare the learning styles of Engineering and Engineering Education learners. This study was conducted to ascertain the learning style preferences of first-year undergraduates from both groups in a science and technology-driven university in Malaysia.   Methodology: This descriptive study consisted of 40 Engineering and 40 Engineering Education learners who attended an English language course at the university. Perceptual Learning Style Preference Questionnaire was adopted as the survey instrument. The data were analysed using self-scoring sheet and Statistical Package for the Social Sciences.   Findings: While both groups chose Kinaesthetic as a major learning style preference, the Engineering Education learners also chose Group, Tactile, and Auditory learning styles as their other major preferences. Both groups chose Visual and Individual as their minor preferences.   Contributions: The findings extend research demonstrating the significant role of specific disciplines in Engineering to determine the learning style preferences of learners. The findings also provide useful insights that suggest implications for practice and policy.   Keywords: Engineering, engineering education, English language, learning styles, teaching and learning.   Cite as: Ismail, N. N. A., Abdullah, T., & Abdul Raof, A. H. (2022). Insights into learning styles preference of engineering undergraduates: Implications for teaching and learning.  Journal of Nusantara Studies, 7(1) 390-409. http://dx.doi.org/10.24200/jonus.vol7iss1pp390-409


2016 ◽  
Vol 24 (4) ◽  
pp. 490-506 ◽  
Author(s):  
Darwish Abdulrahman Yousef

Purpose The purpose of this study is to examine the use of Honey and Mumford’s (1986) learning styles questionnaire (LSQ) in the context of United Arab Emirates (UAE) higher education. In particular, it aims at exploring the learning style preferences of United Arab Emirates University (UAEU) students using LSQ. It also investigates whether there are statistically significant differences in students’ learning style preferences because of their demographic and academic characteristics. Design/methodology/approach Data were collected from a sample of 1,463 undergraduate students at the UAEU. Descriptive and inferential statistics were used to present the main characteristics of respondents, to explore the learning style preferences of UAEU students and to find out whether there are significant differences in students’ learning style preferences because of their demographic and academic characteristics. Findings Results indicated that UAEU students have strong preferences for the four learning styles. Results showed that about 68 per cent of UAEU students have strong or very strong preferences for the activist leaning style, whereas about 84 per cent have strong or very strong preferences for the reflector learning style, 78 per cent have strong or very strong preferences for the theorist learning style; about 60 per cent have strong or very strong preferences for the pragmatist learning style. Furthermore, there were statistically significant differences in certain learning styles because of students’ demographic and academic characteristics. Research limitations/implications There are a number of limitations associated with this study. First, data were collected from a single university in the UAE. Second, the results are based on a self-report survey and this in turn might affect the reliability of the results. Another limitation is that this study is of snapshot type. Hence, it might not capture the dynamic nature of learning style. On the other hand, it has a number of implications for students, educators and administrators. Originality/value The present study is the first attempt to explore learning styles preference of undergraduate students using LSQ, not only in the content of UAE higher education but also in the Arab world.


2018 ◽  
Vol 11 (10) ◽  
pp. 50 ◽  
Author(s):  
Lamya Alkooheji ◽  
Abdulghani Al-Hattami

The purpose of this study was to determine what factors other than individual preferences affect undergraduate students’ learning style preferences, if learning style is influenced by gender, age, college affiliation and/or type of activities. A total of 185 students from the University of Bahrain, Bahrain, participated in an online VARK (Visual, Aural, Read/Write and Kinesthetic) for younger people questionnaire. The questionnaire consisted of 16 items about learning style preferences and three about participants’ demographics. The results showed that participants generally preferred multi-modular learning style with both kinesthetic and visual learning styling being most preferred while Reading/Writing was the least preferred. Furthermore, there were statistically significant differences between students learning styles based on age and gender, but it was a moderate difference. What mostly affected the preferences, however, was the type of activities or tasks, something which in turn resulted in some difference among colleges. This suggests that VARK preferences need to be related to activity type rather than be observed at individual reference. Recommendations were provided at the end of the study.


Author(s):  
Julie Willems

<span>What are the differences in learning styles between students and educators who teach and/or design their e-learning environments? Are there variations in the learning styles of students at different levels of study? How may we use this learning styles data to inform the design in e-learning environments? This paper details mixed-methods research with three cohorts teaching and learning in e-learning environments in higher education: novice undergraduate e-learners, graduate e-learners, and educators teaching in, or designing for, e-learning environments (Willems, 2010). Quantitative findings from the </span><em>Index of Learning Styles (ILS)</em><span> (Felder &amp; Silverman, 1988; Felder &amp; Soloman, 1991, 1994) reflect an alignment of the results between both the graduate e-learner and e-educator cohorts across all four domains of the</span><em>ILS</em><span>, suggesting homogeneity of results between these two cohorts. By contrast, there was a statistically significant difference between the results of the graduate and educator cohorts with those of the undergraduate e-learners on two domains: sensing-intuitive (p=0.015) and the global-sequential (p=0.007), suggesting divergent learning style preferences. Qualitative data was also gathered to gain insights on participants' responses to their learning style results</span>


2018 ◽  
Vol 60 (9) ◽  
pp. 971-991 ◽  
Author(s):  
Darwish Abdulrahman Yousef

PurposeThe purpose of this paper is to address the use of Honey and Mumford’s Learning Styles Questionnaire (LSQ) to investigate the learning style preferences of undergraduate students at the American University of Ras Al Khaimah (AURAK) in the United Arab Emirates (UAE) culture. It also investigates whether there are significant differences across the four dimensions of learning styles due to students’ demographics.Design/methodology/approachQuestionnaires were distributed to a sample of 200 undergraduate students at AURAK in the UAE. The majority of students were Arabic native-speakers. Descriptive statistics were used to present the main characteristics of respondents and the results of the study. The independent samplest-test, Mann–Whitney test and Kurskal–Wallis test were used to find out if there are significant differences across the four dimensions of learning styles due to students’ demographics.FindingsThe results of the study illustrated that undergraduate students at AURAK have preferences for the reflector (15.0), pragmatist (14.2), theorist (13.9) and activist (12.3) learning styles. Moreover, there are only significant differences between Emirati and non-Emirati students across the four learning styles and between single and married students in the theorist learning style.Research limitations/implicationsThis study has a number of limitations. First, the findings of the study are based on the data collected from only one university. Second, the sample is limited to undergraduate students and, therefore, it excludes graduate students who might have different experiences. Third, the results are based on a self-reported questionnaire which might affect the reliability of the results. On the other hand, it has a number of implications for educators and students. Educators will benefit from the results of this study in the sense that they need to adopt teaching styles and strategies that match the learning styles of the majority of their students. Students themselves will benefit from knowing their own learning style.Originality/valueThe present study validates a learning style theory developed in a western culture in an Arabic culture.


2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Hilma Safitri

To have insight of the students learning style is vital since it can facilitate teacher to teach and decide what methods as well as activities are appropriate for the students, for instance,  in learning English. For the students in the future, it is hoped that they can recognize their own learning style preferences in order to be able to learn successfuly, because the students themselves may have no ideas of learning styles they prefer. They just imitate what their friends do, and the teacher does not understand what the students are like and what they prefer in learning. As the consequence, it will not result in any good effect for the improvement for their successful teaching and learning. Hence, both teacher and students, particularly the teachers need to know the students’ characteristics and their learning style preferances. This study adapted the Style Analysis Survey (SAS) model proposed by Oxford (1995) concerning the the student learning style preferences. The samples of this quantitative study involved 60 students who consisted of 30 of non-English and 30 English students at UNPAM. The data taken from quetionnaire were analyzed by using SPSS into descriptive statistic. It was found that the student learning style preferences of both non-English and English students mostly fell on the Social and affective. Meanwhile, for the individual learning style preferences of each group of students are  Physiological and Cognitive executive (II) in which non-English students will remember things better if they discuss them, and English students prefer realism instead of new, unstested ideas.


Author(s):  
Rui Wang ◽  
Sidney Newton ◽  
Russell Lowe

There is a long-held sense in general that the increasing use of computers and digital technology changes how a user experiences and learns about the world, not always for the better. This paper reports on a longitudinal study of 245 architecture and construction students over a two year period which examines the impact that virtual reality technologies have on the learning style preferences of students. A series of controlled experiments tests for the impact that increasing exposure to a proprietary virtual reality system has on the mode of learning and learning style preferences of individuals and particular cohorts. The results confirm that when virtual reality applications are used in teaching and learning, the learning behaviours will favour a more concrete experiential mode of learning and a preference for the Accommodator learning style. However, the results also demonstrate, consistently and for the first time, individual students do not privilege any particular mode of learning or learning style preference to any significant extent but rather engage in all modes and represent all learning styles. Novel visualisation techniques are introduced to examine and discuss this contrast.


2014 ◽  
pp. 246-264 ◽  
Author(s):  
Tarik Uzun

Learning style research has been a significant field within language teaching and learning. There have been very few attempts, however, to seek possible links between independent learning and learning style preferences. This paper aims to identify the learning styles of students who use the Independent Learning Centre (ILC) on a regular basis at a state university in Turkey (n=102). The findings of the learning style analysis revealed that, contrary to expectations, most of the regular users of the centre were synoptic learners, which implies that these learners might not necessarily have conscious control over their own learning processes. An in-depth analysis of learning styles and recommendations to improve the services offered in the centre are also included in the paper.


Author(s):  
Tonderai Washington Shumba ◽  
Scholastika Ndatinda Iipinge

This study sought to synthesise evidence from published literature on the various learning style preferences of undergraduate nursing students and to determine the extent they can play in promoting academic success in nursing education of Namibia. A comprehensive literature search was conducted on electronic databases as a part of the systematic review. Although, kinaesthetic, visual and auditory learning styles were found to be the most dominant learning style preferences, most studies (nine) indicated that undergraduate nursing students have varied learning styles. Studies investigating associations of certain demographic variables with the learning preferences indicated no significant association. On the other hand, three studies investigating association between learning styles and academic performance found a significant association. Three studies concluded that indeed learning styles change over time and with academic levels. The more nurse educators in Namibia are aware of their learning styles and those of their students, the greater the potential for increased academic performance.


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