I ett allt mer digitaliserat samhälle har även utbildningen blivit genomsyrad av denna digitalisering. Det har lett till en ökning i produktion av videoföreläsningar som studenter, på högskolenivå främst, allt oftare använder sig av i inlärningssyfte. E-lärande har många fördelar eftersom det bland annat leder till ökad studieflexibilitet. Det finns ett rikt utbud av tidigare forskning som kretsar kring områdena inlärningsbeteenden, skärmstorlekar och videoföreläsningar. Tidigare studier visar både på att det kan skilja sig i inlärning beroende på skärmstorlek men det finns också studier som tyder på motsatsen. Detta kandidatarbete undersöker om skärmstorlek har någon påverkan på hur mycket man lär sig av att se på en videoföreläsning. Det gjordes genom att gruppera 34 försöksdeltagare i tre grupper där alla fick se en vald föreläsningsvideo på tre olika grupper av skärmstorlekar: liten (4-7 tum), medel (13-17 tum) eller stor (27 tum). Några dagar innan och direkt efter undersökningen besvarade deltagarna även en enkät med sakfrågor om innehållet i den valda videon. Utifrån de resultat som framkom så visar det sig att olikheter mellan dessa skärmstorlekar inte ger en signifikant påverkan på hur mycket man lär sig av en föreläsningsvideo av intervju-typ. Det innebär alltså att man för sådana föreläsningvideor inte behöver ta hänsyn till skärmstorleken, varken som student eller som videoproducent. / In a more and more digitized society, the education has also been steeped in this digitization. This has lead to a rise in the production of video lectures which students, mostly at degree level, more often use for learning purposes. E-learning has many advantages since it, among other things, leads to an increased flexibility when studying. There are many previous studies on learning behaviours, screen sizes and video lectures. Earlier studies show that learning can differ depending on screen size but there are also studies showing the opposite. This bachelor’s thesis examines if screen size has an effect on how much one learns from watching a video lecture. This was done by grouping 34 test participants into three groups where they all watched a video lecture on three groups of screen sizes: small (4”-7”), medium (13”-17”) or large (27”). A few days before and directly after the test the contestants answered a survey with questions regarding the content in the specific video. The results are that differences between these screen sizes do not have a significant impact on how much one learns from a video lecture of interview type. This therefore means that one does not have to consider the screen size for that type of video lecture, either as a student or a video producer.

M. Tech. (Department of Information Communication Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / The influence of Information and Communication Technology (ICT) in the education system has encouraged both students and educators to become more and more computer literate. With the increased use of portable devices (tablets, PDAs, Smartphones, iPads etc.), mobile learning (m-learning) has gained popularity as it is believed to be an effective and efficient tool for content presentation and knowledge acquisition in education sector. The realisation of the benefits depends on the effective adoption of m-learning technology. The superseding purpose of this study was to investigate the adoption of mobile learning at a University of Technology (UoT) in South Africa. A quantitative study was carried out at an UoT in South Africa, with respect to mobile learning perceptions; 64 valid questionnaires were received from the participants. The proposed research framework/model derived from Extended Technology Acceptance Model (ETAM) and Technology Acceptance Model 3 (TAM3) was used. The Statistical Package for the Social Sciences (SPSS), version 25.0. was used for analysing data. The findings revealed that perceived usefulness of mobile learning, attitude toward mobile learning, service and system quality as well as perceived ease of use are significant predictors of intention to use mobile learning application. Perceived mobility on mobile learning strongly influences perceived usefulness more than perceived ease of use of mobile learning application. The study concluded that it is necessary to measure perception of potential users using the variables in the model proposed before adoption of mobile learning application to ascertain an effective adoption of the technology in education.

Education field has been affected by Covid-19 pandemic, same as many other aspects of our lives during this period. Many universities and schools had to close for physical education and had to find different kinds of solutions to continue their educational activities. Therefore, the purpose of this master's thesis is to study students' experiences of using M-learning in higher education during the pandemic to see how they have been affected by this type of learning in their education during the time that Covid-19 changed the routine lives of students. To conduct this master's thesis an explanatory sequential mixed methods approach is used in order to get a deeper understanding of the students' learning experience. The results of this research show that using M-learning during the Covid-19 pandemic has positive effects on learning experiences of most of the participants, and a great number of the students have not seen any effects on their grades. Advantages of using M-learning are ease of use, convenience, understanding the concepts by searching on their own and independent learning experience, being able to participate in lectures from anywhere, even in time of sickness, and easily accessing course materials. On the other hand, the disadvantages of this type of learning are losing physical face-to-face interactions with teachers and other students, low level of activeness from the other students in discussions in the online lectures, losing motivation, and missing learning physical experience in some courses. The challenges that students have experienced with M-learning are low internet connection, problems with batteries of mobile devices, small screen of smartphones for reading files, some technical problems regarding the online lectures, and experiencing different types of distractions by using mobile devices and attending online classes. Finally, participants agree to recommend M-learning in times of crisis.

No / In this article we share our experiences of a large-scale five-year innovative programme to introduce mobile learning into health and social care (HSC) practice placement learning and assessment that bridges the divide between the university classroom and the practice setting in which these students learn. The outputs are from the Assessment Learning in Practice Settings (ALPS) Centre for Excellence in Teaching Learning (CETL), which is working towards a framework of interprofessional assessment of Common Competences in the HSC professions. The mobile assessment process and tools that have been developed and implemented and the outcomes of the first-stage evaluation of the mobile assessment tools are discussed from the student perspective.

Recent accessibility drives and price wars between the major South African (SA) cell phone companies suggest that the landscape for the adoption of mobile learning (m-learning) at the Higher Education Institution (HEI) level may be changing. As such, there is a need to gauge the current mobile readiness of students for m-learning. Mobile technology readiness refers to the extent to which students have access to mobile devices (not only handsets), and can afford data bundles that meet or exceed the requirements of a base set of currently available m-learning applications (Naicker and Van der Merwe 2012). Mobile operational readiness refers to students’ awareness of, attitude towards, support and training that is required for m-learning. This study conducted an assessment of the technology and operational readiness of students at a SA HEI. An in-depth literature survey was undertaken to delineate technology and operational readiness of students for m-learning. For technology readiness, an investigation was conducted on m- learning applications that are currently available and the technology requirements of these mobile applications. This was undertaken to determine the extent that the current student mobile handset profile match these requirements. The literature review also included a search for mobile opeeratratiioonnaall ffaactorctorss ssuuchch aass ssttuuddeennttss’’ aawwaarenerenessss ooff aanndd aattttiittuuddee ttoowwaarrddss mm--lleaearrnininngg as well as m-learning support and training that students require. The philosophical underpinning of this study was based on Activity Theory. The strategy of inquiry employed was a case study approach. Data was collected from students at the Durban University of Technology, a resident based SA HEI. A mixed methods data collection strategy was employed. The researcher used a field survey questionnaire as the primary research instrument to assess mobile technology and operational readiness. Focus group interviews were used as a secondary data gathering tool to triangulate and strengthen the results. The results were presented using descriptive and inferential statistics and were analyzed using the lens of activity theory. In terms of technology readiness, despite a high level of ownership and reasonable compliance with application requirements, data costs remain prohibitive. In assessing operational readiness, despite a positive attitude, the majority of the students require awareness, ongoing support and training. Several recommendations based on the findings are offered. For example, one of the findings showed that mobile connectivity affordability was low amongst students and it is recommended that the HEI work around exorbitant connectivity costs by combining m-learning technologies to form meaningful m-learning approaches at a minimum v cost. Another finding showed low awareness of m-learning at the HEI. A recommendation advanced to combat this finding is for the HEI to encourage and support dialogue among key stakeholders. This study concludes that any m-learning endeavour to implement m-learning at this HEI is bound to fail as only a small percentage of students are aware of m-learning and can afford data bundles to implement m-learning in its true sense. As an implication of this study to other HEI’s, the researcher suggests that regular mobile readiness surveys be conducted. / Science and Technology Education / M. A. (Information Systems)

The main aim of this diploma thesis is to chart the trend of m-learning in Czech schools and to find out, if m-learning influences student' information behavior and how do they use mobile devices in such process. Basic theoretical concepts are defined in first chapters, for example m-learning itself, information behavior and other. Thesis as well contains chapter, where are described different definition of what digital generation is and who are its members. These definitons are the basic theoretical framework of this diploma thesis. One chapter desribes specific projects, statistics and web pages that are dealing with m-learning. Practical part consists of questionnaire evaluation. Survey results are included in the last chapter.

Recent accessibility drives and price wars between the major South African (SA) cell phone companies suggest that the landscape for the adoption of mobile learning (m-learning) at the Higher Education Institution (HEI) level may be changing. As such, there is a need to gauge the current mobile readiness of students for m-learning. Mobile technology readiness refers to the extent to which students have access to mobile devices (not only handsets), and can afford data bundles that meet or exceed the requirements of a base set of currently available m-learning applications (Naicker and Van der Merwe 2012). Mobile operational readiness refers to students’ awareness of, attitude towards, support and training that is required for m-learning. This study conducted an assessment of the technology and operational readiness of students at a SA HEI. An in-depth literature survey was undertaken to delineate technology and operational readiness of students for m-learning. For technology readiness, an investigation was conducted on m- learning applications that are currently available and the technology requirements of these mobile applications. This was undertaken to determine the extent that the current student mobile handset profile match these requirements. The literature review also included a search for mobile opeeratratiioonnaall ffaactorctorss ssuuchch aass ssttuuddeennttss’’ aawwaarenerenessss ooff aanndd aattttiittuuddee ttoowwaarrddss mm--lleaearrnininngg as well as m-learning support and training that students require. The philosophical underpinning of this study was based on Activity Theory. The strategy of inquiry employed was a case study approach. Data was collected from students at the Durban University of Technology, a resident based SA HEI. A mixed methods data collection strategy was employed. The researcher used a field survey questionnaire as the primary research instrument to assess mobile technology and operational readiness. Focus group interviews were used as a secondary data gathering tool to triangulate and strengthen the results. The results were presented using descriptive and inferential statistics and were analyzed using the lens of activity theory. In terms of technology readiness, despite a high level of ownership and reasonable compliance with application requirements, data costs remain prohibitive. In assessing operational readiness, despite a positive attitude, the majority of the students require awareness, ongoing support and training. Several recommendations based on the findings are offered. For example, one of the findings showed that mobile connectivity affordability was low amongst students and it is recommended that the HEI work around exorbitant connectivity costs by combining m-learning technologies to form meaningful m-learning approaches at a minimum cost. Another finding showed low awareness of m-learning at the HEI. A recommendation advanced to combat this finding is for the HEI to encourage and support dialogue among key stakeholders. This study concludes that any m-learning endeavour to implement m-learning at this HEI is bound to fail as only a small percentage of students are aware of m-learning and can afford data bundles to implement m-learning in its true sense. As an implication of this study to other HEI’s, the researcher suggests that regular mobile readiness surveys be conducted. / Science and Technology Education / M. Sc. (Information Systems)

With recent advances in technology, distance education has seen a move towards online and e-learning programmes and courses. However, many students in South Africa have limited access to computer technology and/or the Internet resources necessary for online learning. Worldwide trends have recently seen a growing emphasis on the use of mobile technology for learning purposes. High mobile penetration rates in South Africa means that mobile learning can potentially overcome many of the challenges associated with distanceand online learning. This research therefore aimed to explore adult distance education students’ mobile learning readiness in the South African context. Specifically, this study examined the influence of mobile learning self-efficacy, locus of control, subjective norm, perceived usefulness, perceived ease of use, perceived behavioural control and attitude towards mobile learning on students’ behavioural intention to adopt mobile learning. In order to test a model predicting students’ behavioural intention, the conceptual framework guiding the investigation combined the Technology Acceptance Model (TAM) and the Theory of the investigation combined the Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB) and extended the model to include locus of control and mobile learning self-efficacy. A sample of 1070 students from a private higher education institution in South Africa participated in this study. Data were collected using an online survey questionnaire. Multiple regression analysis indicated that perceived ease of use contributed most significantly to behavioural intention to adopt mobile learning, followed by attitude towards mobile learning, subjective norm, perceived usefulness, perceived behavioural control and locus of control. Mobile learning self-efficacy did not significantly influence behavioural intention to adopt mobile learning. Overall, the model accounted for 44.8% of the variance in behavioural intention to adopt mobile learning. Significant differences in age, gender, race and household income existed with regard to several of the psychological constructs hypothesised to influence behavioural intention to adopt mobile learning. 4 Structural equation modelling was used to examine the fit between the data and the proposed model. The chi square goodness for fit test and the RMSEA indicated poor fit between data and model. Considering the sensitivity of the chi square statistic for sample size and the negative influence of too many variables and relationships on the RMSEA, a variety of alternative fit indices that are less dependent on the sample size and distribution were used to examine model fit. The GFI, AGFI, NFI and CFI all exceeded their respective acceptable levels, indicating a good fit with the data. / Psychology / M.A. (Psychology)

Technology continues to progress due to the enormous growth of wireless technologies and mobile computing. Mobile devices such as handheld computers, smartphones and mobile phones are integrated into the daily lives of many people irrespective of their age, nationality or gender. These devices are embedded with computer functionalities and their ease of use and mobility functionality enable the people to use and move around with the mobile devices everywhere they go; the sophistication of these devices fascinates many learners thus they are fluent in using digital technology. The aim of this thesis is to describe how these devices are being utilised for learning purposes using the qualitative data collection method, to use the FRAME model to evaluate the usefulness of mobile digital technology and to also understand the educator’s role in the mobile age. This thesis explores the relationship between education (what is being taught), society (individual learners and their learning preferences) and technology (mobile tools used for learning), conceptualising the learner’s perspective. The research findings indicate that learners in the case study are enthusiastic about mobile educational technology, fluent in using digital technology and they prefer pen and paper for taking notes. The outcomes of this study suggest that although mobile technology has the potential to enhance teaching and learning, educators need to put more emphasis on providing technology-rich learning activities to empower high level of student involvement and take into consideration the learner’s learning preferences towards learning using mobile technology. / College of Engineering, Science and Technology / M.Tech. (Information Technology)

Thesis (MPhil)--Stellenbosch University, 2013. / ENGLISH ABSTRACT: This study is an addition to the growing body of research on the relevance of mobile assisted learning (MALL) or m-learning. Grounded in a sound theoretical framework and informed by practice, it identifies the importance of literacy as a liberating skill, as well as the groundbreaking impact and potential of mobile technologies to enhance literacy levels in developing countries. The ubiquity of mobile devices worldwide, and specifically in South Africa, coupled with the educational needs arising from overcrowded classrooms, and a dearth of resources and textbooks in rural South Africa, led to the conception of this study. The objective was to ascertain the viability of incorporating web- and mobile technology based instruction to enhance the English literacy levels of Grade 8 (Senior Phase) students within the South African rural context. The study showed that there was a significant improvement in the participants’ reading comprehension, visual comprehension and writing skills. The encouraging results of this study indicate that web-based mobile instruction can indeed improve the literacy levels of learners from remote and disadvantaged communities. The implications of these findings for literacy development and emerging literacy development in rural communities are discussed in the final chapter of this thesis. / AFRIKAANSE OPSOMMING: Hierdie studie lewer ‘n bydrae tot die groeiende navorsingsliggaam oor die invloed en moontlikhede van web-en mobiele tegnologiegebaseerde instruksie op die Engelse geletterdheidsvlak van Graad 8 (Seniorfase) leerders in die Suid-Afrikaanse landelike konteks. Die teoretiese basis van die studie word aangevul deur die praktiese toepassing daarvan. Die toenemende beskikbaarheid van mobiele en sellulêre toestelle wêreldwyd en spesifiek in Suid-Afrika, tesame met die opvoedkundige behoeftes wat ontstaan as ‘n uitvloeisel van oorvol klaskamers en die gebrek aan opvoedkundige hulpbronne en veral handboeke in landelike Suid- Afrika, het aan hierdie studie gestalte gegee. Die belangrikheid van geletterdheid as ‘n bemagtigingsvaardigheid, en die baanbrekersimpak en potensiaal van mobiele tegnologie om die geletterdheidsvlak van mense in Afrika en spesifiek Suid-Afrika te verbeter, word bespreek. Hierdie studie het bewys dat daar ‘n beduidende verbetering in die begriplees-, visuele begriplees- en skryfvaardighede van die deelnemers teweeggebring is. Die inspirerende uitslae van hierdie studie dui aan dat web-gebaseerde, mobiele instruksie en intervensie beslis die geletterdheidsvlak van leerders kan verbeter wat hulle in afgeleë, landelike of benadeelde gemeenskappe of omstandighede bevind. Die omvang en implikasies wat hierdie bevindinge vir geletterdheidsontwikkeling –en verbetering, asook vir ontluikende geletterdheidsonderrig inhou, word in die slothoofstuk van hierdie tesis bespreek.