Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media

doi:10.1016/J.IHEDUC.2013.06.002

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Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media

Journal Article•DOI•

Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media

Joanne Gikas¹, Michael M. Grant¹•Institutions (1)

University of Memphis¹

01 Oct 2013-Internet and Higher Education (JAI)-Vol. 19, Iss: 1, pp 18-26

TL;DR: A portion of the findings on students' perceptions of learning with mobile computing devices and the roles social media played are presented.

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Abstract: The purpose of this research was to explore teaching and learning when mobile computing devices, such as cellphones and smartphones, were implemented in higher education. This paper presents a portion of the findings on students' perceptions of learning with mobile computing devices and the roles social media played. This qualitative research study focused on students from three universities across the US. The students' teachers had been integrating mobile computing devices, such as cellphones and smartphones, into their courses for at least two semesters. Data were collected through student focus group interviews. Two specific themes emerged from the interview data: (a) advantages of mobile computing devices for student learning and (b) frustrations from learning with mobile computing devices. Mobile computing devices and the use of social media created opportunities for interaction, provided opportunities for collaboration, as well as allowed students to engage in content creation and communication using social media and Web 2.0 tools with the assistance of constant connectivity.

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Journal Article•

Qualitative research for education: An introduction to theories and methods

[...]

Darrel N Caulley

01 Nov 2007-Qualitative Research Journal

TL;DR: In this article, a professional services was launched having a hope to serve as a total on the internet electronic catalogue that gives usage of many PDF file guide assortment, including trending books, solution key, assessment test questions and answer, guideline sample, exercise guideline, test test, customer guide, user guide, assistance instruction, repair guidebook, etc.

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Abstract: Our professional services was launched having a hope to serve as a total on the internet electronic catalogue that gives usage of many PDF file guide assortment. You will probably find many different types of e-guide as well as other literatures from our paperwork database. Distinct preferred topics that spread on our catalog are trending books, solution key, assessment test questions and answer, guideline sample, exercise guideline, test test, customer guide, user guide, assistance instruction, repair guidebook, etc.

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6,496 citations

Journal Article•DOI•

Investigating attitudes towards the use of mobile learning in higher education

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Mostafa Al-Emran¹, Hatem M. Elsherif², Khaled Shaalan³•Institutions (3)

AL Buraimi University College¹, British University in Dubai², University of Edinburgh³

01 Mar 2016-Computers in Human Behavior

TL;DR: Results indicated that M-learning can be one of the promising pedagogical technologies to be employed in the higher educational environments within the Arab Gulf countries.

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397 citations

Cites background from "Mobile computing devices in higher ..."

...Gikas and Grant (2013) have indicated that mobile technology has become an integral part of the educational process at the higher educational institutions as it brings many opportunities and challenges to both students and academics....
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...Gikas and Grant (2013) highlights the effects of mobile technologies on learning and teaching in accordance with social media in the form of Skype, Twitter, and Blogs for providing better learning....
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Journal Article•DOI•

Learning with mobile technologies Students behavior

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Laura Briz-Ponce¹, Anabela Pereira², Lina Carvalho³, Juan Antonio Juanes-Mndez¹, Francisco Jos Garca-Pealvo¹ - Show less +1 more•Institutions (3)

University of Salamanca¹, University of Aveiro², University of Coimbra³

01 Jul 2017-Computers in Human Behavior

TL;DR: The factors that affect the students behaviour towards the use of mobile technologies are analyzed to provide support for the Technology Acceptance Model and the implications are discussed within the context of Innovation in Education.

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273 citations

Additional excerpts

...…articles (among others) that have analysed the use of mobile devices for learning (Ally & Prieto-Blazquez, 2014; Briz-Ponce & Juanes-M endez, 2015; Gikas & Grant, 2013; Hasan, Ashraf, Abdullah, & Murad, 2015; Herrington, Herrington, Mantei, Olney, & Ferry, 2009; Huang et al., 2007) and several…...
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Journal Article•DOI•

Chatbots for learning: A review of educational chatbots for the Facebook Messenger

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Pavel Smutny¹, Petra Schreiberova¹•Institutions (1)

Technical University of Ostrava¹

01 Jul 2020-Computers in Education

TL;DR: It is found that educational chatbots on the Facebook Messenger platform vary from the basic level of sending personalized messages to recommending learning content, which shows that chatbots which are part of the instant messaging application are still in its early stages to become artificial intelligence teaching assistants.

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Abstract: With the exponential growth in the mobile device market over the last decade, chatbots are becoming an increasingly popular option to interact with users, and their popularity and adoption are rapidly spreading. These mobile devices change the way we communicate and allow ever-present learning in various environments. This study examined educational chatbots for Facebook Messenger to support learning. The independent web directory was screened to assess chatbots for this study resulting in the identification of 89 unique chatbots. Each chatbot was classified by language, subject matter and developer's platform. Finally, we evaluated 47 educational chatbots using the Facebook Messenger platform based on the analytic hierarchy process against the quality attributes of teaching, humanity, affect, and accessibility. We found that educational chatbots on the Facebook Messenger platform vary from the basic level of sending personalized messages to recommending learning content. Results show that chatbots which are part of the instant messaging application are still in its early stages to become artificial intelligence teaching assistants. The findings provide tips for teachers to integrate chatbots into classroom practice and advice what types of chatbots they can try out.

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236 citations

Journal Article•DOI•

Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies

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Christoph Pimmer¹, Magdalena Mateescu¹, Urs Gröhbiel¹•Institutions (1)

University of Applied Sciences and Arts Northwestern Switzerland FHNW¹

01 Oct 2016-Computers in Human Behavior

TL;DR: The systematic analysis of 36 empirical papers supports the view that knowledge gains from instructionist learning designs are facilitated by distributed and more frequent learning activities enabled by push mechanisms, and hybridisation links formal education with informal and personalized learning.

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210 citations

Cites background or result from "Mobile computing devices in higher ..."

...A number of studies support the observation that “mobile documentation” in authentic environments enhanced “situated awareness” and immediate engagement (Gikas and Grant, 2013, Uzunboylu et al., 2009, Lan et al., 2012, Seppälä and Alamäki, 2003, Hsu and Ching, 2012, Ros i Solé et al., 2010): For…...
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...Beyond the presentation of content, a number of studies focus ed on analysing how a mobile system could facil itate learning during lectures by posing questions and activating exercises via mobile devices (Shen et al., 2009, Wang et al., 2009, Markett et al., 2006, Gikas and Grant, 2013)....
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References

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Abstract: Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Theory, Barney Glaser and Anselm Strauss address the equally Important enterprise of how the discovery of theory from data--systematically obtained and analyzed in social research--can be furthered. The discovery of theory from data--grounded theory--is a major task confronting sociology, for such a theory fits empirical situations, and is understandable to sociologists and laymen alike. Most important, it provides relevant predictions, explanations, interpretations, and applications. In Part I of the book, "Generation Theory by Comparative Analysis," the authors present a strategy whereby sociologists can facilitate the discovery of grounded theory, both substantive and formal. This strategy involves the systematic choice and study of several comparison groups. In Part II, The Flexible Use of Data," the generation of theory from qualitative, especially documentary, and quantitative data Is considered. In Part III, "Implications of Grounded Theory," Glaser and Strauss examine the credibility of grounded theory. The Discovery of Grounded Theory is directed toward improving social scientists' capacity for generating theory that will be relevant to their research. While aimed primarily at sociologists, it will be useful to anyone Interested In studying social phenomena--political, educational, economic, industrial-- especially If their studies are based on qualitative data.

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"Mobile computing devices in higher ..." refers methods in this paper

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"Mobile computing devices in higher ..." refers methods in this paper

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TL;DR: This chapter discusses the design of qualitative research, how to collect data, and how to deal with Validity, Reliability and Ethics in case studies.

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Abstract: THE DESIGN OF QUALITATIVE RESEARCH 1 What is Qualitative Research? 2 Case Studies as Qualtitative Research 3 Designing the Study and Selecting a Sample COLLECTING QUALITATIVE DATA 4 Conducting Effective Interviews 5 Being a Careful Observer 6 Mining Data from Documents 7 Collecting Data in Case Studies ANALYZING AND REPORTING QUALITATIVE DATA 8 Analytic Techniques and Data Management 9 Levels of Analysis 10 Dealing with Validity, Reliability and Ethics 11 Writing Reports and Case Studies

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