scholarly journals LEARNING STYLES AND MOBILE LEARNING USAGE BEHAVIORS OF GRADUATE STUDENTS IN UNIVERSITY IN CURBING PLASTIC POLLUTION

Author(s):  
Chantana Viriyavejakul

Mobile Learning (mLearning) has become an influential educational technology in higher education. With the internet and other technological developments, mLearning makes it possible for students to learn, collaborate, and share ideas with each other. However, mLearning student acceptance is critical to its effectiveness. Attitudes toward learning is a vital factor in deciding whether or not students are ready to use mLearning for academic purpose. Student attitudes may identify strengths and weaknesses of mLearning and facilitate development of the technology. This qualitative study aims to investigate graduate students’ attitudes and perceptions toward using mLearning in education. Data were collected by conducting interviews with fourteen graduate students enrolled in masters and doctoral programs in the College of Education at King Khalid University (KKU), Kingdom of Saudi Arabia. Generally, graduate students in education disciplines had positive attitudes toward mLearning and expressed a desire to use it in their future educational settings. Students perceived mLearning to be valuable for academic purposes, noting the convenience of being able to access course materials, the ease of communicating with other students and professors at their own pace, and the flexibility mobile devices offer over desktop or laptop computers. However, students identified a few usability issues like small screen size and keyboards, and additional cost of mobile devices and the corresponding cost of Internet access as constraints for using mobile devices for learning.


Author(s):  
Hyungsung Park ◽  
Young Kyun Baek ◽  
David Gibson

This chapter introduces the application of an artificial intelligence technique to a mobile educational device in order to provide a learning management system platform that is adaptive to students’ learning styles. The key concepts of the adaptive mobile learning management system (AM-LMS) platform are outlined and explained. The AM-LMS provides an adaptive environment that continually sets a mobile device’s use of remote learning resources to the needs and requirements of individual learners. The platform identifies a user’s learning style based on an analysis tool provided by Felder & Soloman (2005) and updates the profile as the learner engages with e-learning content. A novel computational mechanism continuously provides interfaces specific to the user’s learning style and supports unique user interactions. The platform’s interfaces include strategies for learning activities, contents, menus, and supporting functions for learning through a mobile device.


2020 ◽  
Vol 62 (3) ◽  
pp. 339-354
Author(s):  
Guilherme Luz Tortorella ◽  
Rogério Miorando ◽  
Diego Fettermann ◽  
Diego Tlapa Mendoza

PurposeThis article identifies the association between two methods for teaching lean manufacturing (LM): problem-based learning (PBL) and classroom lectures, and students' learning styles of a postgraduate course.Design/methodology/approachData were collected from graduate students LM courses that present different teaching approaches. Thus, students' learning preferences were gathered through the application of the Index of Learning Style questionnaire, and their performance assessed after each course.FindingsResults indicate that learning styles are indeed associated with LM teaching approaches, and comprehending interaction effects between learning style dimensions is essential for properly adapting the teaching method. However, these interactions have different extensions.Originality/valueAlthough teaching LM has significantly evolved over the past decades, the single application of traditional teaching methods jeopardizes learning effectiveness of graduate students because of the practical nature of LM. This study provides evidence to better understand the effect of complementary teaching methods and their relationship with students' preferences, empirically examining that there is not one best approach for understanding LM.


Author(s):  
Alaattin Parlakkılıç

The mobile initiative is changing education and social life worldwide. The question is how to offer the same user-friendly, aesthetically pleasing mobile learning courses on different mobile devices. Developing effective web sites courses and content isn't only about creating a course with solid material. Managers and course authors are concerned about adapting different courses to a variety of learning styles and individual needs and keeping users interested and engaged. A good place to start is to organize thoughts and figure out exactly what is wanted to be included in the web sites course. Responsive design gives the ability to create a single m-learning course that automatically adapts to any browser or device. This allows the target audience to benefit from the courses without having to worry about screen size and resolution. In this chapter, m-learning is discussed in a responsive design context that can be used across platforms and offers the design of courses according to m-learning instructional strategies.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Dan Ni ◽  
Shuo Wang ◽  
Guocheng Liu

In recent years, research on brain-computer interfaces has been increasing in the field of education, and mobile learning has become a very important way of learning. In this study, EEG experiment of a group of iPad-based mobile learners was conducted through algorithm optimization on the TGAM chip. Under the three learning media (text, text + graphic, and video), the researchers analyzed the difference in learners’ attention. The study found no significant difference in attention in different media, but learners using text media had the highest attention value. Later, the researchers studied the attention of learners with different learning styles and found that active and reflective learners’ attention exhibited significant differences when using video media to learn.


2013 ◽  
Vol 37 (4) ◽  
pp. 292-297 ◽  
Author(s):  
S. S. Bruce-Low ◽  
S. Burnet ◽  
K. Arber ◽  
D. Price ◽  
L. Webster ◽  
...  

Mobile learning has increasingly become interwoven into the fabric of learning and teaching in the United Kingdom higher education sector, and as technological issues become addressed, this phenomena has accelerated. The aim of the study was to examine whether learning using a mobile learning device (Samsung NC10 Netbook) loaded with interactive exercises promoted learning compared with a traditional library exercise. Using a randomized trial, 55 students from an undergraduate sports science course ( n = 28) and medical course ( n = 27) volunteered to participate in this study. A mixed-model design ANOVA was used to examine the percent change in test score after a 3-wk intervention. Results showed that there was a significant difference between the two courses ( P < 0.001), methods ( P = 0.01), and trials ( P < 0.001). The findings suggested that both methods augmented student knowledge and understanding in sports science and medical students. The sports science group demonstrated proportionally greater increases in test performance when exposed to the mobile interactive intervention compared with the traditional library approach. Qualitative data suggest an increased level of engagement with the Netbooks due to the stimulating interactive content. In conclusion, the Netbooks were an effective additional learning tool, significantly enhancing knowledge and understanding in students. Further research should ensure that participants are assessed for preferred learning styles, the subjective task value of expectancy value, and readiness for mobile learning to ascertain if this has an effect on the potential for using mobile learning and interactivity.


Author(s):  
Nguyen The Luong ◽  
Nguyen Ngoc Vu ◽  
Nguyen Thi Hong Lien

The rise in mobile learning has seen an impressive increase as smartphones and tablets have increased in popularity in recent years. The cheap, easy access to these devices for students contributes to the need for use for educational and learning purposes. This trend is no exception for physical education. This study surveyed 125 physical education students in 4 badminton classes from 2018 to 2020 to evaluate their readiness for mobile learning in terms of hardware devices, technology skills, learning styles, and habits. Data coming from questionnaires in the courses and server logs of a mobile learning system show that the majority of physical education students in the study are ready for mobile learning despite some challenges regarding internet infrastructure and lack of formal online learning skills training. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0731/a.php" alt="Hit counter" /></p>


2021 ◽  
pp. 397-402
Author(s):  
Madeeha Malik ◽  
Mahjabeen Ahmad ◽  
Azhar Hussain

Introduction: The quality of student learning depends on the approaches that are used for learning. An association exists between different learning methodologies and learning outcomes. Objective: The present study was designed to assess preferences for different learning styles among pharmacy students in Islamabad, Pakistan. Method: A descriptive cross-sectional study design was used. A self-administered pre-validated questionnaire VARK version 8.0 was distributed to 387 undergraduate students from both public and private pharmacy schools located in Islamabad and 100 graduate students selected from public sector pharmacy schools using the convenience sampling technique. After data collection, it was cleaned, coded, and analysed using SPSS version 21. Results: The results of the present study showed that the most common learning style among graduate students was Aural (Total Score = 492), followed by kinesthetic (Total Score = 467), read/write (Total Score = 351), and visual (Total Score = 290). On the other hand, the most common learning style among undergraduate students was Aural (Total score = 1926), followed by kinesthetic (Total score = 1859), read/write (Total score = 1241), and visual (Total score = 1166). Conclusion: The result of the present study concluded aural as the most preferred learning style followed by kinesthetic among both undergraduate and graduate pharmacy students. Graduate female pharmacy students showed more preference towards kinesthetic learning style as compared to graduate male students who showed more preference towards aural learning modality. However, both undergraduate and graduate male and female students preferred aural learning style. Identifying the learning style at the start of pharmacy degree can help mentors to assess the appropriate field for them after graduation. Moreover, information regarding such styles would be helpful for stakeholders to devise effective strategies for teaching and introduce changes accordingly into the curriculum.


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