scholarly journals Analysis of Students’ e-Learning Styles and their Attitudes and Self-Efficacy Perceptions towards Distance Education

2021 ◽  
Vol 5 (4) ◽  
pp. 550-570
Author(s):  
Betul Ozaydin Ozkara ◽  
Emin Ibili

In this study, the effects of different variables such as age, gender, department and learning style on students’ e-learning styles, their attitudes towards e-learning and e-learning self-efficacy were investigated. In addition, the relationship between students’ e-learning styles, their attitudes towards e-learning and self-efficacy has been examined. In this context, the data were collected from 104 both distance education and formal education students. Results show that e-learning styles vary according to gender, age, type of education and department. The e-learning self-efficacy differs in department, age and type of education, but not in gender. The results also show that students’ attitudes towards e-learning differ in the way of learning, but not in age, gender and department. The results revealed that there was a positive relationship between students’ e-learning styles and self-efficacy while there was no relationship between e-learning and attitudes. Additionally, a strong relationship was found between students’ e-learning self-efficacy and their attitudes towards e-learning.

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Robab Farhang ◽  
Ulduz Zamani Ahari ◽  
Samira Ghasemi ◽  
Aziz Kamran

Background and Objectives. The career decision-making self-efficacy (CDSE) in medical, pharmacy, and dental students is more important than other disciplines due to professional sensitivity, direct involvement in decision-making for the treatment process, and the significant clinical involvement. It is also expected that learning styles can have a significant impact on the academic success, and the CDSE also affects the quality of clinical care. Therefore, the aim of this study was to examine the relationship between the learning styles and the career decision-making self-efficacy among medicine and dentistry students. Materials and Methods. This cross-sectional study was conducted on 235 medical interns and fifth- and sixth-year dental students of Ardabil University of Medical Sciences, Iran. The data were collected using Kolb Learning Style Inventory and Betz and Luzzo career decision-making self-efficacy questionnaire. Statistical tests such as Kolmogorov–Smirnov, Spearman correlation coefficient, Chi-square, one-way ANOVA were used to analyze the data. Results. The mean age of participants was 25.9 ± 1.30; a majority of them were dental students (134 persons, 59.3%), and 92 were medical students (40.7%). The predominant learning styles in dental and medical students were assimilating (40.3%) and converging (47.8%), respectively. There was no significant relationship between students’ learning styles and career decision-making self-efficacy and none of its subscales ( P > 0.05 ). The Chi-square test results showed that a significant difference was observed between the field of study and learning styles of the participants ( P = 0.024 ). Conclusion. This study showed that there was no significant relationship between learning style and career decision-making self-efficacy of the participants.


Author(s):  
Aisha Y Alsobhi ◽  
Khaled H Alyoubi

Learning is a fundamental element of people’s everyday lives. Learning experiences can take the form of our interactions with others, through attending an educational establishment, etc. Not everyone learns in the same way, and even people who are considered to have a similar standard of abilities or proficiency will exhibit different learning styles. This does not necessarily mean that some students are better than others; it means that students are different from one another. Adaptive e-learning system should be capable of adapting the content to the user learning style, abilities and knowledge level. In this paper, we investigate the benefits of incorporating learning styles and dyslexia type in adaptive e-learning systems. Adaptivity aspects based on dyslexia type and learning styles enrich each other, enabling systems to provide learners with materials which fit their needs more accurately. Besides, consideration of learning styles and dyslexia type can contribute to more accurate student modelling. In this paper, the relationship between learning styles, the Felder–Silverman learning style model (FSLSM), and dyslexia type, is investigated. These relationships will lead to a more reliable student model.


Author(s):  
Ted Brown ◽  
Maryam Zoghi ◽  
Brett Williams ◽  
Shapour Jaberzadeh ◽  
Louis Roller ◽  
...  

<span>The objective for this study was to determine whether learning style preferences of health science students could predict their attitudes to e-learning. A survey comprising the </span><em>Index of Learning Styles</em><span> (ILS) and the </span><em>Online Learning Environment Survey</em><span> (OLES) was distributed to 2885 students enrolled in 10 different health science programs at an Australian university. A total of 822 useable surveys were returned generating a response rate of 29.3%. Using </span><em>SPSS</em><span>, a linear regression analysis was completed. On the ILS Active-Reflective dimension, 44% of health science students reported a preference as being active learners, 60% as sensing learners, and 64% as sequential learners. Students' attitudes toward e-learning using the OLES showed that their </span><em>preferred</em><span> scores for all 9 subscales were higher than their </span><em>actual</em><span> scores. The linear regression analysis results indicated that ILS learning styles accounted for a small percentage of the OLES </span><em>actual</em><span> and </span><em>preferred</em><span> subscales' variance. For the OLES </span><em>actual</em><span> subscales, the ILS Active-Reflective and Sensing-Intuitive learning style dimensions were the most frequent predictors of health science students' attitudes towards e-learning. For the OLES </span><em>preferred</em><span> subscales, ILS Active-Reflective and Sequential-Global learning style dimensions accounted for the most frequent source of variance. It appears that the learning styles of health science students (as measured by the ILS) can be used only to a limited extent as a predictor of students' attitudes towards e-learning. Nevertheless, educators should still consider student learning styles in the context of using technology for instructional purposes.</span>


Author(s):  
İsmail Yüksel ◽  
Ercüment Türkses

This study aims to examine distance education students' learning styles and critical thinking dispositions. This cross sectional survey was conducted on 114 Turkish distance education students from various departments in a state university. The data of the study were collected through Grasha-Riechmann Student Learning Style Scale (GRSLSS) and California Critical Thinking Disposition Inventory (CCTDI). Cronbach Alpha coefficiencies of the scales were .76 for GRSLSS and .79 for CCTDI. To analyze the data, descriptive statistics (frequencies, percentages, means and standard deviations), t-test and one-way analysis of variance tests were used. The results indicated that the dependent learning style was the most preferred style and the avoidant learning style was the least preferred style. The further analysis regarding learning style indicated that female students perceived themselves more dependent than male students. The results also indicated that students in teacher training programs scored higher in independent and avoidant sub-scales, while students in arts and sciences programs scored higher in dependent, collaborative, competitive and participant sub-scales. The results manifested that students' critical thinking dispositions were at a low level, and they mostly had analyticity and open-mindedness dispositions. Female students were found to have more critical thinking dispositions than male students.


2003 ◽  
Vol 28 (3) ◽  
pp. 231-244 ◽  
Author(s):  
Pat C. Ames

University students' attitudes toward computers were assessed as a function of learning style. Analyses of responses provided by 232 students to a learning style assessment instrument and a computer attitude survey revealed that specific learning styles were associated with an affinity for (liking of), confidence in, and anxiety about the use of computers. Within those learning styles, gender differences were discovered when students manifested a clearly dominant style. The findings indicate that computer-based or computer-assisted instruction may not be appropriate for all students and that curriculum modifications to account for learning style differences may increase the effectiveness of and reduce the aversion to computers in the classroom. Additional research into the relationship between learning styles and computer attitudes may also provide assistance relative to increasing the enrollment of females in technology-oriented courses of study.


Open Praxis ◽  
2018 ◽  
Vol 10 (3) ◽  
pp. 249 ◽  
Author(s):  
Nabia Luqman Siddiquei ◽  
Dr Ruhi Khalid

The rapid growth of e-learning has greatly influenced the educational system across the globe. Personality traits and learning styles are both likely to play considerable roles in influencing academic achievement of e-learners. Based on this foundation, a study was designed that attempts to establish the missing links between personality traits, learning styles, and academic performance of students enrolled in various e-learning courses. University students (N=144) completed the Big Five Inventory (BFI), Index of Learning Style (ILS) and reported their grade point average (GPA). One of the Big Five traits i.e. extraversion was positively related with all four learning styles whereas neuroticism was negatively related with all four learning styles. It has also been revealed that GPA was positively correlated with three personality traits and was negatively correlated with neuroticism. Similarly GPA was positively correlated with three learning styles. Finally, there were no significant differences in learning styles and personality traits of e-learners in terms of gender. Implications of these results are expected to help academics, managers, and policy makers for implementation of future e-learning strategies in Pakistan.


The aim of our research is to automatically deduce the learning style from the analysis of browsing behaviour. To find how to deduce the learning style, we are investigating, in this paper, the relationships between the learner’s navigation behaviour and his/her learning style in web-based learning. To explore this relation, we carried out an experiment with 27 students of computer science at the engineering school (ESI-Algeria). The students used a hypermedia course on an e-learning platform. The learners’ navigation behaviour is evaluated using a navigation type indicator that we propose and calculate based on trace analysis. The findings are presented with regard to the learning styles measured using the Index of Learning Styles by (Felder and Solomon 1996). We conclude with a discussion of these results.


2020 ◽  
Author(s):  
Syerina Syahrin ◽  
Abdelrahman Abdalla Salih

This paper aimed to investigate the online learning experience of a group of ESL students at a higher learning institution in Oman during the Covid-19. The paper studied the interaction between the students’ preferred online learning style and the technologies the students experienced on the e-learning platform (Moodle) for the particular ESL course. The rationale for investigating the relationship between the students’ learning styles and the technologies the students experienced is to evaluate if the learning style and the technologies complement each other. It is also aimed to provide an evaluation of an ESL e-learning course by considering the different technologies that can be incorporated into the e-learning classroom to meet the different learning styles. Data was gathered from 32 undergraduate students by utilizing Kolb’s Learning Styles Inventory. The study included analysis of Moodle utilizing Warburton’s Technologies in Use (2007) to develop an understanding of the technologies the students experienced online. The results of the study revealed that the majority of the students’ preferred learning style is reflected in the technologies they experienced in the online classroom. As the relationship of the technology in use and the students learning style preference in the classroom complements each other, the study revealed that the emphasis of the particular skill-based pedagogy ESL classroom is on receptive skills (listening and reading). The lack of the students’ productive skills (speaking and writing) is a cause for concern to the ESL course instructors, policymakers, and the wider community.


2020 ◽  
Vol 6 (2) ◽  
pp. 351
Author(s):  
Melih Dikmen

The COVID-19 global outbreak is a growing concern for continuing medical education. The COVID-19 pandemic has led many medical education programs to be carried out online in the world. This research aims to examine the mediating effect of attitudes towards distance education in explaining the relationship between e-learning styles and academic achievements of students in medical education conducted online. The research was carried out on 148 students studying in a six-year medical program at a university. In the research, students completed the e-learning styles scale, attitude scale towards distance education, and online questionnaire include some demographic information via Moodle-based Learning Management System (LMS). In addition, end of year grade point averages of the students was also used within the scope of the research. In the research, the direct effect of e-learning styles on the grade point average and an indirect effect on attitude towards distance education were tested with the mediation model. It was determined that gender is not a significant variable on e-learning styles and attitudes towards distance education. It was observed that students with higher daily internet usage times had higher attitudes towards distance education. In the research, it was observed that the attitude towards distance education has a mediating effect on the relationship between e-learning style and academic success. It is important to consider e-learning styles and attitudes towards distance education to increase academic success in online medical courses and provide better learning outcomes.


Author(s):  
Ahmad Anis Abdullah ◽  
Tri Rochmadi

Today's students are digital natives. They grow with digital technology. Universitas Alma Ata is adapting to learning styles in the digital age by integrating e-learning based learning and classroom learning. The e-learning model that is applied is based on moodle and kahoot. This learning model was introduced to students in September 2017. The meaning of this manuscript is to determine whether the use of moodle and kahoot based e-learning will help students in learning mathematics. It also examines the effect of applying e-learning on student perceptions. Twelve mathematics education students were included in this study. A set of questionnaires was specified to evaluate students' attitudes and perceptions of learning. From the findings, conclusions have been drawn about the role of moodle and kahoot based e-learning to support the teaching and learning process. The results show that students show positive perceptions using moodle and kahoot based e-learning.


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