Understanding Online Cultural Learning Styles and Academic Performance of Management Students in an Ethnic Context

2018 ◽  
pp. 317-339
Author(s):  
Syed Raza Ali Bokhari ◽  
Iqbal Ahmed Panhwar
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
Learning Style ◽  
Structural Equation ◽  
Epistemological Beliefs ◽  
Negative Relationship ◽  
Cultural Dimensions ◽  
Mba Students ◽  
Student Academic Performance ◽  
Learning Styles Inventory

This study utilizes Structural Equation Modeling with maximum likelihood discrepancy function to examine the relationship among various cultural dimensions and multicultural learning styles, and subsequently the impact thereof on student academic performance. 210 MBA students who enrolled in an online class were examined. The hypothetical model integrated proven learning styles and cultural theories. While Kolb's Learning Styles Inventory (LSI) version 3.1 captured attributes of learning style preferences, the Cultural Dimensions of Learning Framework questionnaire developed by Parrish and Linder-VanBerschot (2010) captured cultural preferences. Three structural models (epistemological beliefs, social beliefs, and temporal perceptions dimension of culture) were analyzed. It was found that epistemological beliefs and temporal perceptions dimensions of culture exhibited a positive relationship with multicultural learning styles; the social relationship dimension showed negative relationship, while total effect on student academic performance across was relatively similar across all models.

Understanding Online Cultural Learning Styles and Academic Performance of Management Students in an Ethnic Context

2014 ◽  
pp. 149-169
Author(s):  
Syed Raza Ali Bokhari ◽  
Iqbal Ahmed Panhwar
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
Learning Style ◽  
Structural Equation ◽  
Epistemological Beliefs ◽  
Negative Relationship ◽  
Cultural Dimensions ◽  
Mba Students ◽  
Student Academic Performance ◽  
Learning Styles Inventory

This study utilizes Structural Equation Modeling with maximum likelihood discrepancy function to examine the relationship among various cultural dimensions and multicultural learning styles, and subsequently the impact thereof on student academic performance. 210 MBA students who enrolled in an online class were examined. The hypothetical model integrated proven learning styles and cultural theories. While Kolb’s Learning Styles Inventory (LSI) version 3.1 captured attributes of learning style preferences, the Cultural Dimensions of Learning Framework questionnaire developed by Parrish and Linder-VanBerschot (2010) captured cultural preferences. Three structural models (epistemological beliefs, social beliefs, and temporal perceptions dimension of culture) were analyzed. It was found that epistemological beliefs and temporal perceptions dimensions of culture exhibited a positive relationship with multicultural learning styles; the social relationship dimension showed negative relationship, while total effect on student academic performance across was relatively similar across all models.

Understanding Online Cultural Learning Styles and Academic Performance of Management Students in an Ethnic Context

2018 ◽  
pp. 1285-1307
Author(s):  
Syed Raza Ali Bokhari ◽  
Iqbal Ahmed Panhwar
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
Learning Style ◽  
Structural Equation ◽  
Epistemological Beliefs ◽  
Negative Relationship ◽  
Cultural Dimensions ◽  
Mba Students ◽  
Student Academic Performance ◽  
Learning Styles Inventory

This study utilizes Structural Equation Modeling with maximum likelihood discrepancy function to examine the relationship among various cultural dimensions and multicultural learning styles, and subsequently the impact thereof on student academic performance. 210 MBA students who enrolled in an online class were examined. The hypothetical model integrated proven learning styles and cultural theories. While Kolb's Learning Styles Inventory (LSI) version 3.1 captured attributes of learning style preferences, the Cultural Dimensions of Learning Framework questionnaire developed by Parrish and Linder-VanBerschot (2010) captured cultural preferences. Three structural models (epistemological beliefs, social beliefs, and temporal perceptions dimension of culture) were analyzed. It was found that epistemological beliefs and temporal perceptions dimensions of culture exhibited a positive relationship with multicultural learning styles; the social relationship dimension showed negative relationship, while total effect on student academic performance across was relatively similar across all models.

scholarly journals The Effects of Culture on Learning Styles: The Sample of Ondokuz Mayıs University

2021 ◽  
Vol 6 (2) ◽  
pp. 54-69
Author(s):  
Fatih Diken ◽  
Nevin Ozdemir
Keyword(s):  
Graduate Students ◽  
Learning Styles ◽  
Learning Style ◽  
Cultural Dimensions ◽  
Experiential Learning Theory ◽  
Data Collection Tool ◽  
Learning Style Inventory ◽  
Concrete Experience ◽  
Significant Difference ◽  
Learning Styles Inventory

This study examines the effect of culture on learning styles. The study sample consisted of undergraduate and graduate students, most of whom are foreign nationals, studying in different departments of Ondokuz Mayıs University in Samsun, Turkey. Based on the experiential learning theory (ELT), Kolb's Learning Styles Inventory (KLSI) was used as a data collection tool to define individual learning styles. By examining previous studies such as the Global Leadership and Organizational Effectiveness (GLOBE), the study focused on categorizing cultural differences. 193 participants from 35 different nationalities were included in one of three cultural clusters (The Middle East, Africa, and Central Asia). In the first part of the study, the dominant learning styles of each cultural cluster were evaluated based on Kolb's traditional 4 learning styles (diverging, converging, assimilating, and accommodating) and the new 9 learning styles (experiencing, imagining, reflecting, analysing, thinking, deciding, acting, balancing) defined in KLSI 3.2 and KLSI 4. It was analysed whether there was a statistically significant difference in the dominant learning styles among the cultural clusters. The results of the analysis showed that there was no significant difference among the cultural clusters according to 4 learning style classifications, whereas there were significant differences among the cultural clusters according to Kolb’s 9 learning style classifications. In the second part of the study, it was evaluated whether there was a significant difference among the cultural clusters according to the modes of grasping experience – concrete experience (CE) and abstract conceptualization (AC) – and two dialectically related modes of transforming experience—reflective observation defined in the ELT model. Keywords: learning style, Kolb learning style inventory (KLSI), culture, cultural dimensions, cultural clusters, higher education

scholarly journals Evaluating the Effect of Arabic Engineering Students’ Learning Styles in Blended Programming Courses

10.28945/3423 ◽  
2016 ◽  
Vol 15 ◽  
pp. 109-130 ◽  
Author(s):  
Ahmed Al-Azawei ◽  
Ali kadhim Al-Bermani ◽  
Karsten Lundqvist
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
Learning Style ◽  
Structural Equation ◽  
Engineering Students ◽  
Learning Context ◽  
Learning Platform ◽  
Perceived Satisfaction ◽  
E Learning ◽  
Programming Courses

This study investigated the complex relationship among learning styles, gender, perceived satisfaction, and academic performance across four programming courses supported by an e-learning platform. A total of 219 undergraduate students from a public Iraqi university who recently experienced e-learning voluntarily took place in the study. The integrated courses adopted a blended learning mode and all learners were provided the same learning content and pathway irrespective of their individual styles. Data were gathered using the Index of Learning Styles (ILS), three closed-ended questions, and the academic record. Traditional statistics and partial least squares structural equation modelling (PLS-SEM) were performed to examine the proposed hypotheses. The findings of this research suggested that, overall, learning style dimensions are uncorrelated with either academic performance or perceived satisfaction, except for the processing dimension (active/reflective) that has a significant effect on the latter. Furthermore, gender is unassociated with any of the proposed model’s constructs. Finally, there is no significant correlation between academic performance and perceived satisfaction. These results led to the conclusion that even though Arabic engineering students prefer active, sensing, visual, and sequential learning as do other engineering students from different backgrounds, they can adapt to a learning context even if their preferences are not met. The research contributes empirically to the existing debate regarding the potential implications of learning styles and for the Arabic context in particular, since respective research remains rare.

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.

scholarly journals Development and Validation of Learning Style Scale for E-Learners

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110223
Author(s):  
Nabia Luqman Siddiquei ◽  
Ruhi Khalid
Keyword(s):  
Factor Analysis ◽  
Learning Styles ◽  
Psychometric Properties ◽  
Learning Style ◽  
Structural Equation ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Scale Scores ◽  
Significant Addition ◽  
Development And Validation

The present study aimed to develop an indigenous measure of learning styles for e-learners in Pakistan and to establish its psychometric properties. The objectives of the study were attained via three studies. First, the items for the development of the Learning Style Scale for e-Learners (e-LSS) were generated empirically based on a 5-point Likert-type scale. In Study I, the internal consistency and dimensionality of the measure were determined by sampling 360 e-learners aged from 20 to 40 years through a convenient sampling technique, whereas other demographic characteristics were kept in close consideration. For this purpose, exploratory factor analysis was utilized. In Study II of scale development, the factor structure that emerged in Study I was confirmed via confirmatory factor analysis using structural equation modeling. In Study III, the convergent and divergent validities of the newly constructed scale were established by correlating scores with preestablished scale scores that assess the similar construct (i.e., LSS) and with scores on the discriminant construct (i.e., Solving Problems Survey). The sample for this study consisted of 80 e-learners aged from 20 to 40 years. A total of 29 items were confirmed in the final scale with 8 distinctive factors (namely, visual, auditory, kinesthetic, global, analytical, individual, collaborative, and technological type) with sound psychometric properties. To conclude, the newly constructed scale was a significant addition to assess learning styles particularly of e-learners in the context of Pakistan.

Predicting Student Academic Performance

2014 ◽  
Vol 10 (3) ◽  
pp. 18-35 ◽  
Author(s):  
M.M. Haris Aslam ◽  
Ahmed F. Siddiqi ◽  
Khuram Shahzad ◽  
Sami Ullah Bajwa
Keyword(s):  
Academic Performance ◽  
Structural Equation Modeling ◽  
University Students ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Outcome Expectations ◽  
Academic Community ◽  
Equation Modeling ◽  
Student Academic Performance

The biggest challenge in nurturing an academic community is encouraging knowledge sharing among its members. Literature on communities, however, has paid less attention on the role of outcome expectations in encouraging the knowledge sharing behaviors. This study examines the effects of Personal Outcome Expectations (POE) and Community-related Outcome Expectations (COE) on the knowledge sharing behaviors of students and its consequent impact on their academic performance. In order to study these relationships a survey of university students was conducted. Based on structural equation modeling approach, it was found that COE have significant impact on knowledge sharing among the students.

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.

The Canfield Learning Styles Inventory: An Assessment of Its Usefulness in Accounting Education Research

2001 ◽  
Vol 16 (3) ◽  
pp. 341-365 ◽  
Author(s):  
Barbara J. Eide ◽  
Marshall A. Geiger ◽  
Bill N. Schwartz
Keyword(s):  
Education Research ◽  
Learning Styles ◽  
Construct Validity ◽  
Learning Style ◽  
Internal Consistency ◽  
Critical Evaluation ◽  
Internal Consistency Reliability ◽  
Accounting Education ◽  
Learning Styles Inventory ◽  
Test Retest Reliability

Recent reviews of accounting education research have called for continued assessment of learning style inventories in accounting contexts (Geiger and Boyle 1992; Rebele et al. 1998). This study presents a critical evaluation of the psychometric properties of the Canfield Learning Styles Inventory (LSI), proposed by Francis et al. (1995) as an instrument for possible use by accounting educators. The study administered two versions (standard and scrambled) to 531 accounting majors from eight universities, applying a test-retest strategy after a 4–5 week interval. The versions were examined for internal consistency reliability, test-retest reliability, classification stability, and construct validity. We found moderate internal consistency (item analyses scores weaker than those reported by Canfield [1988]) and a substantial amount of learner-type classification instability across the two administrations. In terms of construct validity, two-factor solutions were not consistent with those reported by Canfield (1988). Further, three-factor solutions also were not consistent with Canfield's three learning domains. Therefore, along with limited theoretical support and the lack of empirical justification, we find little support for the use of the Canfield LSI in accounting education research.

Learning Style Consistency across Cognitive and Motor Settings

1995 ◽  
Vol 81 (3) ◽  
pp. 1023-1026 ◽  
Author(s):  
Cheryl A. Coker
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Motor Skills ◽  
Skill Acquisition ◽  
Motor Skill ◽  
Classroom Learning ◽  
Motor Skill Acquisition ◽  
Learning Styles Inventory ◽  
Style Consistency ◽  
Sport Analysis

23 athletes were asked to complete the Learning Styles Inventory first focusing on classroom learning, then on learning in their sport. Analysis indicated that learning styles shift across cognitive and motor settings. As a result, to ensure the validity of the results, giving respondents a particular focus when taking the inventory may be necessary. The development of an instrument designed strictly for motor skills might be helpful to assess successfully learners' profiles for motor skill acquisition.

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