scholarly journals INVESTIGATING THE IMPACT OF THE AGE, GENDER AND YEARS LEARNING ENGLISH ON LEARNING STYLES PREFERENCES

2015 ◽  
pp. 553-562
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning Experience ◽  
Learning And Teaching ◽  
Learning Style Preferences ◽  
Index Of Learning Styles ◽  
English Major ◽  
Learning Styles Inventory ◽  
Style Preferences ◽  
The Impact

Demographical factors may have an impact on learning and teaching styles across the continents. This study was to explore whether demographical factors namely age, gender and English learning experience are related to the learning style preferences of English Major Students from the foreign languages faculty in Iran. The sample for this study comprised of 310 English Major Students. In this study, quantitative approach was used in the collection of the data .The instruments used in this study included the Index of Learning Styles Inventory by Felder and Soloman (2006) and Oxford (1990). The results of the study revealed that except for Learning Style Pair 2 (LSP2) (Sensing/Intuition), all the other learning styles pairs were not related to demographical factors.

Changes in Learning-Style Preferences: A Reply to Ruble and Stout

1992 ◽  
Vol 70 (3_suppl) ◽  
pp. 1072-1074
Author(s):  
Marshall A. Geiger ◽  
Jeffrey K. Pinto
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning Style Preferences ◽  
Learning Styles Inventory ◽  
Style Preferences ◽  
Over Time

This note is a reply to Ruble and Stout's 1992 critique of our 1991 study of changes in learning style over time. While some of their comments have merit, the remaining conclusions are that the dimension scores on the Learning Styles Inventory exhibit considerable stability over time and should be analyzed when assessing changes in learning style.

Learning Style Preferences of Pharmacy Students

2013 ◽  
Vol 4 (1) ◽  
pp. 119-129
Author(s):  
Zoriah Aziz ◽  
Tey Xin Yi ◽  
Syireen Alwia ◽  
Chong Nyuk Jet
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning Experience ◽  
Learning Preferences ◽  
Pharmacy Education ◽  
Pharmacy Students ◽  
Internal Reliability ◽  
Learning Style Preferences ◽  
Style Preferences ◽  
The University

Students have preferences about how they like to learn. Available evidence suggests that understanding students’ learning style is helpful in providing them a successful learning experience. The aim of the study was to determine the learning styles preferences of pharmacy students. The Honey and Mumford’s Learning Style Questionnaire (LSQ) was administered twice to all undergraduate pharmacy students (n=240) in the University of Malaya, Malaysia. The LSQ covered four different learning preferences: activist, reflector, theorist and pragmatist. The LSQ showed satisfactory test-retest correlation (0.57 to 0.66) and moderate internal reliability (0.53 to 0.61). Reflector learning style was the most common among the students (60.4%) followed by theorist and pragmatist (both 8.8%) and activist (6.2%). Another 15.8% of the students did not show any dominant learning styles. The preferred learning styles were statistically independent of the demographic variables examined such as level of academic year, sex, race and pre-university qualifications. A range of teaching methods and learning activities should be provided in pharmacy education in order to match the variety of learning styles.

Comparing Learning Styles and Technology Acceptance of Two Culturally Different Groups of Students

2014 ◽  
pp. 244-264
Author(s):  
Nauman Saeed ◽  
Suku Sinnappan
Keyword(s):  
Learning Styles ◽  
Technology Acceptance ◽  
Learning Style ◽  
Learning Style Preferences ◽  
Index Of Learning Styles ◽  
Culturally Different ◽  
Australian Cohort ◽  
Acceptance Model ◽  
Style Preferences ◽  
Almost All

This chapter reports on a study that compares the learning styles and technology acceptance of two culturally different groups of students studying at different universities, one in Australia and the other in the US. However, almost all of the students from the Australian cohort were international students from China; thus, this study is essentially a comparison between American and Chinese students. Felder-Solomon's Index of Learning Styles (ILS) was used to collect learning styles data while Davis' Technology Acceptance Model (TAM) was used to examine the acceptance of Twitter, the technology being examined. The study results revealed no statistical significant differences in the learning style preferences of the two groups suggesting that culture did not play a significant role in defining their learning habits. However, culture was a significant factor in the acceptance of technology, in this case Twitter.

scholarly journals Using learning styles data to inform e-learning design: A study comparing undergraduates, postgraduates and e-educators

2011 ◽  
Vol 27 (6) ◽  
Author(s):  
Julie Willems
Keyword(s):  
Learning Styles ◽  
Learning Environments ◽  
Learning Style ◽  
Mixed Methods Research ◽  
Teaching And Learning ◽  
Learning Style Preferences ◽  
Index Of Learning Styles ◽  
Significant Difference ◽  
E Learning ◽  
Style Preferences

<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>

Compatibility of Students' Learning and Teaching Styles on Their Ratings of College Teaching

1985 ◽  
Vol 61 (3_suppl) ◽  
pp. 1215-1220 ◽  
Author(s):  
Frank E. Pettigrew ◽  
Dorothy B. Zakrajsek ◽  
Mary A. Bayless ◽  
Grace Goc-Karp
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Rating Scale ◽  
Teaching Style ◽  
Teaching Styles ◽  
College Teaching ◽  
Learning And Teaching ◽  
Learning Styles Inventory ◽  
Style Preferences ◽  
Instructional Styles

Student's ratings of teaching performance were compared for those whose preferences for learning style were strongly matched ( n = 77) and strongly mismatched ( n = 40) with their instructors' preference of teaching style. Canfield's Learning Styles Inventory and Canfield and Canfield's Instructional Styles Inventory measured learning and teaching style preferences. The rating scale was designed from a catalog of items. Analysis of variance indicated no significant differences in instructors' ratings between the two groups.

scholarly journals Experiential Learning Styles in the Age of a Virtual Surrogate

2015 ◽  
Vol 9 (3) ◽  
pp. 93 ◽  
Author(s):  
Rui Wang ◽  
Sidney Newton ◽  
Russell Lowe
Keyword(s):  
Virtual Reality ◽  
Learning Styles ◽  
Learning Style ◽  
Teaching And Learning ◽  
Learning Style Preferences ◽  
Experiential Mode ◽  
Technology Changes ◽  
Learning Behaviours ◽  
Style Preferences ◽  
The Impact

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.

scholarly journals Characteristics of Saudi EFL Learners’ Learning Styles

2021 ◽  
Vol 14 (7) ◽  
pp. 82
Author(s):  
Khalid Al-Seghayer
Keyword(s):  
Second Language Acquisition ◽  
Learning Styles ◽  
Language Learning ◽  
Learning Strategies ◽  
Learning Style ◽  
Efl Learners ◽  
Learning Style Preferences ◽  
Efl Students ◽  
Style Preferences ◽  
The Impact

One of the most important factors among those that play key roles in second language acquisition is language learning styles and strategies. This article identifies the unique and multifarious learning-style preferences that characterize Saudi English as a foreign language (EFL) learners&rsquo; learning, and explores how multidimensional causal factors and experiences shape their preferred modes of learning. The analysis first tackles Saudi EFL learning-style preferences, followed by a discussion of Saudi EFL language learning strategies. The discussion addresses the learning-style approaches and learning behaviors of Saudi EFL leaners and the impact they have on them and highlights the factors and consequences of each. It concludes by pinpointing the importance of identifying language learning styles and strategies Saudi EFL students use and offering measures that will help Saudi EFL teachers facilitate their students&rsquo; effective learning-style approaches. &nbsp;

scholarly journals Personalized E-Learning: Relation Between Felder– Silverman Model and Academic Performance

2019 ◽  
Vol 24 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Zagulova ◽  
Viktorija Boltunova ◽  
Sabina Katalnikova ◽  
Natalya Prokofyeva ◽  
Kateryna Synytsya
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
Learning Style ◽  
University Education ◽  
Global Learning ◽  
Learning Style Preferences ◽  
Index Of Learning Styles ◽  
E Learning ◽  
Style Preferences

Abstract The growing demands for the training of students and the need for continuous improvement of the quality of university education make it necessary to find and apply more effective educational technologies and practices based on the correlation of teaching with the student’s profile and his/her individual Learning Style. This article discusses the topic of relevance of personalized e-learning. It describes Learning Styles and looks at the Felder– Silverman model in more detail. The article contains the results of student surveys on the basis of which the interrelation between the Index of Learning Styles and academic performance is analysed. The relation between performance and learning styles according to the Felder-Silverman Learning Style Model is shown: in some specialties, students with sequential learning style have higher academic performance than students with global learning style, as well as students with mild learning style preferences on the Activist/Reflector dimension.

Learning Style Preferences of Undergraduate Nursing Students: A Systematic Review

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Tonderai Washington Shumba ◽  
Scholastika Ndatinda Iipinge
Keyword(s):  
Systematic Review ◽  
Academic Performance ◽  
Academic Success ◽  
Nursing Students ◽  
Learning Styles ◽  
Learning Style ◽  
Undergraduate Nursing Students ◽  
Learning Style Preferences ◽  
Undergraduate Nursing ◽  
Style Preferences

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.

An Active Learning Approach to Teaching Social Determinants of Health

2020 ◽  
Vol 6 (4) ◽  
pp. 266-273
Author(s):  
Jeanita W. Richardson
Keyword(s):  
Active Learning ◽  
Learning Style ◽  
Social Determinants ◽  
Learning Approach ◽  
Learning Style Preferences ◽  
Open Discussion ◽  
Approach To Teaching ◽  
The Individual ◽  
Style Preferences ◽  
The Impact

This active learning exercise is designed to deconstruct the impact of social determinants through the assumption of randomly selected personas. As an active learning exercise, it provides opportunities for discussion, problem solving, writing, and synthesis, while incorporating multiple learning style preferences. Part 1 involves assessing the individual social determinants at work. Part 2 involves exploring ways said determinants can enhance community health through collaboration. Assumption of personas unlike one’s own facilitates an open discussion of social position and ranges of factors influential to health without potentially evoking a sense of defensiveness associated with personal privilege (or the lack thereof).

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