Learning Styles in Online Environments

Author(s):  
Sharon Cox

Research into the learning styles and preferences of students is well established but is currently the subject of renewed interest driven by a number of factors. First, following policies to encourage and facilitate widening participation, the student population is being drawn from more varied backgrounds, and greater emphasis is being placed on helping students to learn (Smith, 2002). Second, models of learning theory have largely been developed in isolation from the subsequent advances in the use of information communication technology (ICT) and its changing role in education (Sadler-Smith & Smith, 2004). The flexibility offered by online learning environments changes both the temporal and spatial dimensions of the learning context. Technology increases the physical distance between student and lecturer and imposes a technical aspect, which may be seen as a physical barrier to learning or may be perceived as a way of removing cultural and social barriers and therefore opening and creating new opportunities for dialogue. The impact of ICT on the learning context offers new opportunities and challenges to learners and instructors that need to be considered within the context of learning preferences. Third, the renewed interest in learning styles is perhaps also fuelled by the ease with which multiple modes of learning can be accommodated and combined using ICT. Within online learning environments learning objects can be developed and reused more easily, for example, short videos can be created without the use of extensive production equipment. This provides the opportunity for lecturers to reconsider their pedagogic strategies to effectively integrate the use of technology into teaching (Fisher & Baird, 2005).

Author(s):  
Chattavut Peechapol ◽  
Jaitip Na-Songkhla ◽  
Siridej Sujiva ◽  
Arthorn Luangsodsai

This review examines 12 years of research by focusing on the following question: What are the factors that influence self-efficacy in an online learning environment? There has been a plethora of research concerning self-efficacy. However, few works have focused on the sources of self-efficacy in online-learning environments. Systematic searches of numerous online data-bases published between 2005 and 2017, which covered factors influencing self-efficacy in online learning context, resulted in the investigation of 25 studies. The data were extracted, organized and analyzed using a narrative synthesis. Results revealed that various factors improved self-efficacy and provided evidence of significant sources of self-efficacy in the context of online learning. Moreover, the investigation provides guidance for further research in designing online learning environments to enhance the self-efficacy of learners.


Author(s):  
Blessing F. Adeoye

The nature of learning is changing, especially learning in the twenty-first century. It's increasingly becoming more to do with student-centered learning. It emphasizes digital literacy, critical thinking, and interpersonal skills. This chapter revisited online learning environments in terms of differences in the learning styles of Nigerian university students according to their cultural backgrounds. The author also reviewed past research that focused on culturally different learning styles in online learning environments. Of specific interest are the studies that examined the same issue in the twenty-first century. This chapter concluded based on the review of literature that a person's learning style could affect how they react to any learning situation, including learning online; therefore, knowledge of learning styles could help in the selection of appropriate instructional designs and teaching strategies for courses. In the case of the students at the University of Lagos, it was found that students with different learning styles have different responses to online learning within their culture.


Author(s):  
Richard Schwier ◽  
Jennifer Seaton

Does learner participation vary depending on the learning context? Are there characteristic features of participation evident in formal, non-formal, and informal online learning environments? Six online learning environments were chosen as epitomes of formal, non-formal, and informal learning contexts and compared. Transcripts of online discussions were analyzed and compared employing Transcript Analysis Tools for measures of density, intensity, and reciprocity of participation (Fahy, Crawford, & Ally, 2001), and mean reply depth (Wiley, n.d.). This paper provides an initial description and comparison of participation patterns in a formal, non-formal, and informal learning environment, and discusses the significance of differences observed. La participation des apprenants varie-t-elle en fonction du contexte d'apprentissage? Existe-t-il des caractéristiques de participation spécifiques aux environnements formels, non formels et informels d'apprentissage en ligne? Six environnements d'apprentissage en ligne ont été sélectionnés pour illustrer les contextes formels, non formels et informels d'apprentissage et ont été comparés. Les transcriptions des discussions en ligne ont été analysées et comparées à l’aide des Transcript Analysis Tools pour mesurer la densité, l'intensité et la réciprocité de la participation (Fahy, Crawford, et Ally, 2001), ainsi que la profondeur moyenne de réponse (John Wiley & Sons, nd). Cet article décrit et compare les modes de participation dans un environnement formel, non formel et informel d'apprentissage, et discute la portée des différences observées.


2015 ◽  
Vol 47 (6) ◽  
pp. 1065-1082 ◽  
Author(s):  
Karina Cela ◽  
Miguel-Ángel Sicilia ◽  
Salvador Sánchez-Alonso

Author(s):  
Hatice Gökçe Bilgiç ◽  
Dilek Doğan ◽  
Süleyman Sadi Seferoğlu

With the developments of information technologies there exists two different generations. One of these generations was born into the technology age and grew up with technology. The other one meet with technology in the late ages. Thus, they have different habits, different expectations and different learning preferences. In the meantime, with the developments in technology and Internet infrastructure, online learning environments have become popular as an alternative learning environment in higher education. The aim of this chapter is to guide instructors to design their online learning environments based on the new generation's needs and expectations. To learn about new generations' needs a survey questionnaire was conducted on higher education students. The results indicated that, todays' students spends a lot of time on the Internet specifically in social media environments and they commonly get connected to the Internet with their mobile phones which necessitates a new design in online learning environments.


2019 ◽  
pp. 146978741989130
Author(s):  
Anna Espasa ◽  
Rosa M Mayordomo ◽  
Teresa Guasch ◽  
Montserrat Martinez-Melo

Dialogic feedback demands an active role by lecturers and students to become effective. However, sometimes students do not engage with the feedback received. The use of technology and different channels to provide feedback (using audio and video feedback) in online learning environments could contribute to make students more active with the feedback and improve its effectiveness. The aim of this article is to investigate the use of different feedback channels (text, audio or video) and contrast their impact on academic achievement, as well as to analyse whether the feedback channel influences students’ perception of feedback in terms of their preferences. A quasi-experimental study was designed, whereby students received feedback both after they had drawn up the first draft of a written assignment and upon its completion. The results suggest that the channel through which feedback is provided does not have a bearing on performance. However, the study does identify significant differences between the quality of the first draft and that of their final submission. With regard to preferences, students preferred the video channel over the audio or written channels. In addition, they perceived video as the channel that is most conducive to greater interaction and dialogue between lecturers and students, and that also produces the greatest sense of closeness. The results obtained are discussed in light of their importance in an online environment.


Author(s):  
Blessing Foluso Adeoye

The importance of individual culture depends on the characteristics of national culture and the individual’s background; within individual culture, different learning styles also exist. This paper addresses the topic of how learning style interacts with receptivity to online methods in different cultures, in this case in Nigeria. It examines and analyzes online learning environments in terms of differences in the learning styles of Nigeria university students according to their cultural backgrounds, specifically tribes, gender, and program of studies and how that can affect their online learning. The differences in tribes and learning styles affect the way the students respond to online learning. Despite the need for improvement, the future of online learning environments seems bright. The online instructor should try to offer learning activities that will appeal to the widest variety of learning styles possible. The ethnicity and cultural diversity of students needs to be considered in online systems design.


Author(s):  
Blessing F. Adeoye

The nature of learning is changing, especially learning in the twenty-first century. It's increasingly becoming more to do with student-centered learning. It emphasizes digital literacy, critical thinking, and interpersonal skills. This chapter revisited online learning environments in terms of differences in the learning styles of Nigerian university students according to their cultural backgrounds. The author also reviewed past research that focused on culturally different learning styles in online learning environments. Of specific interest are the studies that examined the same issue in the twenty-first century. This chapter concluded based on the review of literature that a person's learning style could affect how they react to any learning situation, including learning online; therefore, knowledge of learning styles could help in the selection of appropriate instructional designs and teaching strategies for courses. In the case of the students at the University of Lagos, it was found that students with different learning styles have different responses to online learning within their culture.


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