901 resultados para device independent mobile learning


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Purpose – The purpose of this study is to assess the benefits derived from the application of mobile devices as part of the students’ online learning experience and the extent to which the perceived benefits are linked to student learning styles.

Design/methodology/approach – A small group of students enrolled in an exclusively online graduate accounting program were issued with iPods as part of their learning materials. Two data collection instruments were issued: a questionnaire to elicit students’ opinions on the usefulness of the iPod as a tool for learning; and a questionnaire to establish their learning styles (using a VARK© questionnaire).

Findings – The findings indicate that the primary advantage of iPods lies in its portability, which, in turn, facilitated efficient and effective use of time and study planning. The portability attached to iPods allowed students to take advantage of what otherwise have been down-time, such as commuting. Students with a preference for visual learning rated the iPod as being important to their learning.

Research limitations/implications – The generalizability of the findings is limited due to the low sample size (23) that constrains the robustness of the results.

Originality/value – The exploratory nature of this study provides preliminary evidence on the perceived usefulness of handheld devices as a learning tool.

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Problem Statement: Over the past decade there has been an increasing global demand towards the integration of mobile technologies for teaching and learning. There has emerged a need for a survey instrument that can form a solid foundation for objective judgment of leaner perspectives as they begin using mobile applications for learning. The Mobile Learning Scale, a seven-item, Likert-type survey instrument, was developed by the authors in response to this need. Items were drawn from the key points developed for a 2011 paper by the authors on mobile learning prospects for informal learning in higher education [13], with many of these points initially developed during group discussions at the 2011 International Summit on ICT in Education hosted at UNESCO Headquarters, Paris, France. Approach: In order to access the performance of the instrument, data were gathered from 81 undergraduate and graduate university students during August and September of 2011. Follow-up data were also gathered from 19 undergraduates in February, 2012. Results: Initial indications are the instrument has good reliability (Alpha = .80 - .85) as well as acceptable content, construct, and criterion-related validity when used with its intended audience. Conclusions/Recommendations: The authors conclude that the Mobile Learning Scale v1.0 performs well as a unidimensional scale that is capable of assessing pre-post gains resulting from a mobile learning intervention within a university course. The authors propose that this new instrument should be useful for helping guide educators in the process of meaningful integration of Mobile Applications (Apps) into teaching and learning, inside and outside the classroom.

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Most teacher education programs have online applications. Increasingly teacher education programs are expanding their distance education applications with mobile learning, or m-learning. Although related to online learning, m-learning focuses on the learning opportunities offered by mobile technologies. Mobile learning is a big step towards providing flexible teacher education; it has brought about a new forum for learning, decreased limitations of learning location, and provided learners with choices about how and when they access learning materials. Universities are finding themselves grappling with how best to utilize mobile technologies for learning, while staying within their educational missions and resources. In this paper the mobile devices used in higher education and the current status of mobile technologies as learning tools at universities are described. The background of approaches and methods which are currently in use are also discussed, plus universities and teacher readiness for this transformation are also reviewed. Affordances and constraints are considered.

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The Mobile Learning Scale v1 .0 consists of seven Likert items drawn from the key points developed for a paper on mobile learning prospects for informal learning in higher education (Khaddage & Knezek, 2011 ). Many of these points had been initially developed during the 2011 International Summit on ICT in Education (UNESCO, Paris, 2011 ), where the first author was Rapporteur for the working group Co-Chaired by the second author. In order to assess the performance of the instrument, data were gathered from 81 undergraduate and graduate university students during August and September of 2011. Data were assessed for strength of agreement on individual items and for internal consistency reliability of the seven item-scale. Initial indications are that the instrument has good reliability for university students (Alpha = .85) and can be useful for assessing attitudes toward mobile learning technologies and applications within the intended audience of higher education learners. Potential uses and plans for future research are discussed.

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This paper contains findings based on administering a Likert-type mobile learning attitude survey to 261 university students from four nations, China, Lebanon, the UAE and the USA. Students were asked to provide attitudes and perceptions toward the use of mobile technologies in education. The results of the survey indicate that students in different regions of the world tend to agree that mobile learning could empower informal learning and could enhance teaching and learning. Lebanon students were most similar to those from the USA, while students from China were more similar to those from the UAE. Similarities and differences in results among nations and implications of these findings are discussed.

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Interactive digital media learning resources and mobile devices offer flexible teaching and learning options and experiences for the student and teacher. Recent technological advancements of mobile devices, release of forth generation mobile broadband and discussions of a fifth generation to come mean that interactive digital media rich content delivered over mobile devices will become mainstream. Given the popularity of mobile devices such as smartphones, laptops, netbooks and digital tablets all have capacity to deliver interactive digital media content, the design and pedagogical factors of mobile learning resources is fundamental. Course designers and education developers need to consider the design and pedagogical considerations involved in the creation of these learning resources. This paper provides best practices and guidelines that course designers and educational developers can use to help them design and develop interactive digital media learning resources for mobile devices.

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Worldwide, there has been a rapid increase in both the use of mobile technologies as a conduit for student learning and the use of wearable cameras to record sporting and recreational activities. The Expert in My Pocket project (EiMP) has combined these two technologies to produce a repository of freely available short videos and supporting materials to enhance student development of psychomotor clinical skills. The videos are presented from a first person point of view (1PPOV) with expert health professionals ‘thinking aloud’ as they demonstrate selected skills. Research indicates that students and educators overwhelmingly support the concept of EiMP videos and more importantly value the 1PPOV as an authentic view. This paper demonstrates the techniques and equipment employed to produce these videos, which consisted of a chest or head mounted GoPro camera operated via an iPad. Additionally, the paper explains another innovative feature, Quick Response (QR) Codes, that when linked to the videos placed on equipment assists with “just in time” mobile learning.