The relationship between learning style and learning environment

2004 ◽  
Vol 38 (8) ◽  
pp. 800-801 ◽  
Author(s):  
Diana H J M Dolmans ◽  
Ineke H A P Wolfhagen
2017 ◽  
Vol 7 (2) ◽  
pp. 1-9 ◽  
Author(s):  
Fatima Ezzahra Benmarrakchi ◽  
Jamal El Kafi ◽  
Ali Elhore

Dyslexia or reading disability is one of the most common learning disabilities. It is defined as a disorder manifested by difficulty in learning to read despite conventional instruction, adequate intelligence, and sociocultural opportunity. In this paper the authors focus on the potential benefits of the use of Information and Communication Technology (ICT) for students with dyslexia to promote the learning process, by considering the relationship between their learning style preferences and their cognitive traits in virtual learning environments. At this propose the authors investigated the relationship between dyslexic's learning style and cognitive trait within the hypothesis that dyslexic learners may have possible preferences in virtual learning environment, which may be used to improve the dyslexic user modelling. The aim of this paper is to provide an adaptive learning environment for users with dyslexia based on their learning styles preferences and their cognitive traits.


Author(s):  
Cristina Cubillas

The study assessed the relationship between the factors affecting the academic achievement of the dean’s listers’ of Caraga State University. It involves the total population of the dean’s listers in the said university. The independent variables are those pre-determined factors’ affecting the academic achievement of the dean’s listers’ of Caraga State University and the dependent variable is the grades of the dean’s listers’. The result shows the low relationship between the pre-determined factors and the academic achievement evidenced by the values of the p-values which are greater than. In terms of the academic achievement of the dean’s listers’ their grades signify their excellence in their different chosen fields. With regards to the pre-determined factors, the factor that got the highest mean is the teachers’ competence with 3.7639 and the lowest one is the learning environment with 3.6690. The study habits’ got the second spot among the 4 factors followed by the learning styles. Based on Spearmen Correlation analysis in the data gathered, the results revealed that there is no significant relationship between the pre-determined factors and the academic achievement of the dean’s listers’ of Caraga State University. The p-values obtained are less than 0.05 for all the data set; which is accepting the null hypothesis. The results clearly depict that the students’ study habit, learning style teachers’ competence and the learning environment has no influence on the achievement reached by the dean’s listers’. On the other hand, it is still very important to make and to maintain these factors visible in the academic arena for better learning and for a better outcome. The absence of these factors might affect the performances of the students in Caraga State University.


2020 ◽  
Vol 1 (01) ◽  
pp. 13-20
Author(s):  
Dian Saputra

This study aims to find out the relationship between learning style and students’ knowledge aspect on Computer System Subject at SMK IT Rahmatan Karimah of  Central Bengkulu, the type of research is quantitative and the subject of research is grade X in SMK IT Rahmatan Karimah of  Central Bengkulu. Data collection techniques using observation, Questionnaire and documentation. Data analysis techniques used were Descriptive Analysis, and inferential Statistical Analysis. The results of visual learning style post-test were 11 people with a mean of 76.36, an auditory learning style of 8 people at a mean of 62.14, a kinesthetic learning style of 3 people at a mean of 50.33, apart from that (r x y = 2.35) and the magnitude of r is reflected in the table (r table = 0.4132). Then rxy > r table ie = 2.35> 0.4132. In other words, Ho is rejected and Ha is accepted. It has a significant relationship between the learning styles of students and students’ knowledge aspect on Computer System Subject of grade X TKJ in SMK IT Rahmatan Karimah of  Central Bengkulu


2018 ◽  
Vol 7 (3) ◽  
pp. 1124 ◽  
Author(s):  
Andino Maseleno ◽  
Noraisikin Sabani ◽  
Miftachul Huda ◽  
Roslee Ahmad ◽  
Kamarul Azmi Jasmi ◽  
...  

This paper presents learning analytics as a mean to improve students’ learning. Most learning analytics tools are developed by in-house individual educational institutions to meet the specific needs of their students. Learning analytics is defined as a way to measure, collect, analyse and report data about learners and their context, for the purpose of understanding and optimizing learning. The paper concludes by highlighting framework of learning analytics in order to improve personalised learning. In addition, it is an endeavour to define the characterising features that represents the relationship between learning analytics and personalised learning environment. The paper proposes that learning analytics is dependent on personalised approach for both educators and students. From a learning perspective, students can be supported with specific learning process and reflection visualisation that compares their respective performances to the overall performance of a course. Furthermore, the learners may be provided with personalised recommendations for suitable learning resources, learning paths, or peer students through recommending system. The paper’s contribution to knowledge is in considering personalised learning within the context framework of learning analytics. 


2014 ◽  
Vol 971-973 ◽  
pp. 2677-2680
Author(s):  
Di Jiao

Factors affecting students’ English learning performances are always debated among language researchers. This research is carried out in art colleges to figure out the students’ preferences in learning styles and learning strategies as well as the relationship between them. Questionnaires have been applied and data have been dealt with by SPSS. This research has shown that students in the art college tend to be visual and individual learners, and thus they prefer to adopt metacognitive, memory and affective strategies.


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