Category Archives: online streaming

Learning from anywhere, anytime: The use of mobile technologies for educational purposes

This contribution is a excerpt from my latest article that was published by Springer’s Technology, Knowledge and Learning (Journal). The content has been adapted for this blog post.

Suggested citation: Camilleri, M.A. & Camilleri, A.C. (2022). Learning from anywhere, anytime: Utilitarian motivations and facilitating conditions to use mobile learning applications. Technology, Knowledge and Learninghttps://doi.org/10.1007/s10758-022-09608-8

dailymail.co.uk

University students are using mobile technologies to improve their learning outcomes. In the past years, a number of academic authors contended that educational apps were supporting many students in different contexts Butler et al., 2021; Crompton & Burke, 2018; Hamidi & Chavoshi, 2018; Sung et al., 2016; Tosuntas et al., 2015). In the main, they maintained that ubiquitous technologies enable them to access learning management systems and to engage in synchronous conversations with other individuals (Camilleri & Camilleri, 2021).

One may argue that the m-learning paradigm is associated with the constructivist approaches (Chang et al., 2018), including those related with discovery-based learning (Camilleri & Camilleri, 2019c). Relevant theoretical underpinnings suggest that the use of mobile apps can improve the delivery of quality, student-centered education (Camilleri & Camilleri, 2021; Camilleri, 2021b; Chang et al., 2018; Crompton & Burke, 2018; Furió et al., 2015; Lameu, 2020; Nikolopoulou et al., 2021; Sung et al., 2016; Swanson, 2020). This research raises awareness on m-learning technologies that enable students to search for solutions for themselves through the Internet and via learning management systems. It also indicated that mobile apps like Microsoft Teams or Zoom, among others, allow them to engage in synchronous conversations with course instructors and with their peers, in real time.

This study explored the users’ perceptions about m-learning technologies. It validated key constructs from TAM Briz-Ponce et al., 2017; Cheung & Vogel, 2013; Granić & Marangunić, 2019; Ngai et al., 2007; Scherer et al., 2019; Thong Hong & Tam, 2002) and UTAUT (Gunasinghe et al., 2019; Yang et al., 2019), as shown in Table 1.

The descriptive statistics clearly indicated that the research participants felt that m-learning technologies were useful for them to continue their course programs. The principal component analysis confirmed that the students’ engagement with their educational apps was primarily determined by their ease of use. This is one of the main factors that influenced their intentions to engage with m-learning apps.

The findings revealed that higher education students were using m-learning apps as they considered them as useful tools to enhance their knowledge. Evidently, their perceptions about the ease of use of m-learning technologies were significantly correlated with their perceived usefulness. In addition, it transpired that both constructs were also affecting their attitudes towards usage, that in turn preceded their intentions to use m-learning apps.

The results also revealed that the respondents were satisfied by the technical support they received during COVID-19. Apparently, their university provided appropriate facilitating conditions that allowed them to engage with to m-learning programs during the unexpected pandemic situation and even when the preventative restrictions were eased.

The stepwise regression analyses shed light on the positive and significant relationships of this study’s research model. Again, these results have proved that the respondents were utilizing m-learning apps because their university (and course instructors) supported them with adequate and sufficient resources (i.e. facilitating conditions). The findings indicated that they were assisted (by their institution’s helpdesk) during their transition to emergency remote learning. In fact, the study confirmed that there was a positive and significant relationship between facilitating conditions and the students’ engagement with m-learning technologies.

On the other hand, this empirical research did not yield a statistically significant relationship between the students’ social influences and their intentions to use the mobile technologies. This is in stark contrast with the findings from past contributions, where other researchers noted that students were pressurized by course instructors to use education technologies (Camilleri & Camilleri, 2020; Teo & Zheng, 2014). The researchers presume that in this case, the majority of university students indicated that they were not coerced by educators or by their peers, to use m-learning apps. This finding implies that students became accustomed or habituated with the use of mobile technologies to continue their course programs.

This research builds on previous technology adoption models Davis et al., 1989; Venkatesh et al., 2003; 2012) to better understand the students’ dispositions to engage with m-learning apps. It integrated constructs from TAM with others that were drawn from UTAUT/UTAUT2. To the best of the researchers’ knowledge, currently, there are no studies that integrated facilitating conditions and social influences (from UTAUT/UTAUT2) with TAM’s perceived ease of use, perceived usefulness and attitudes. This contribution addresses this knowledge gap in academia. In sum, it raises awareness on the importance of providing appropriate facilitating conditions to students (and educators). This way, they will be in a better position to use educational technologies to improve their learning outcomes.

Practical implications

This research indicated that students held positive attitudes and perceptions on the use of m-learning technologies in higher educational settings. Their applications allow them to access course material (through Moodle or other virtual learning environments) and to avail themselves from video conferencing facilities from everywhere, and at any time. The respondents themselves considered the mobile technologies as useful tools that helped them improve their learning journeys, even during times when COVID-19’s preventative measures were eased. Hence, there is scope for university educators and policy makers to create and adopt m-learning approaches in addition to traditional teaching methodologies, to deliver quality education (Camilleri, 2021).

Arguably, m-learning would require high-quality wireless networks with reliable connections. Course instructors have to consider that their students are accessing their asynchronous resources as well as their synchronous apps (like Zoom or Microsoft Teams) on campus or in other contexts. Students using m-learning technologies should have appropriate facilitating conditions in place, including adequate Wi-Fi speeds (that enable access to high-res images, and/or interactive media, including videos, live streaming, etc.). Furthermore, higher education institutions ought to provide ongoing technical support to students and to their members of staff (Camilleri & Camilleri, 2021).

This study has clearly shown that the provision of technical support, as well as the utilization of user-friendly, m-learning apps, among other factors, would probably improve the students’ willingness to engage with these remote technologies. Thus, course instructors are encouraged to create attractive and functional online environments in formats that are suitable for the screens of mobile devices (like tablets and smartphones). There can be instances where university instructors may require technical training and professional development to learn how to prepare and share customized m-learning resources for their students.

Educators should design appealing content that includes a good selection of images and videos to entice their students’ curiosity and to stimulate their critical thinking. Their educational resources should be as clear and focused as possible, with links to reliable academic sources. Moreover, these apps could be developed in such a way to increase the users’ engagement with each other and with their instructors, in real time.

Finally, educational institutions ought to regularly evaluate their students’ attitudes and perceptions toward their m-learning experiences, via quantitative and qualitative research, in order to identify any areas of improvement.

Research limitations and future research directions

To date, there have been limited studies that explored the institutions’ facilitating conditions and utilitarian motivations to use m-learning technologies in higher education, albeit a few exceptions. A through review of the relevant research revealed that researchers on education technology have often relied on different research designs and methodologies to capture and analyze their primary data. In this case, this study integrated measures that were drawn from TAM and UTAUT. The hypotheses were tested through stepwise regression analyses. The number of respondents that participated in this study was adequate and sufficient for the statistical purposes of this research.

Future research could investigate other factors that are affecting the students’ engagement with m-learning technologies. For example, researchers can explore the students’ intrinsic and extrinsic motivations to use educational apps. These factors can also have a significant effect on their intentions to continue their learning journeys. Qualitative research could shed more light on the students’ in-depth opinions, beliefs and personal experiences on the usefulness and the ease of use of learning via mobile apps, including serious games and simulations. Inductive studies may evaluate the effectiveness as well as the motivational appeal of gameplay. They can possibly clarify how, where and when mobile apps can be utilized as teaching resources in different disciplines. They can also identify the strengths and weaknesses of integrating them in the curricula of specific subjects.

Prospective researchers can focus on the design, structure and content of m-learning apps that are intended to facilitate the students’ learning experiences. Furthermore, longitudinal studies may provide a better understanding of the students’ motivations to engage with such educational technologies. They can measure their progress and development, in the long term. The students’ perceptions, attitudes and intentions to use m-learning technologies can change over time, particularly as they become experienced users.

A prepublication of the full article is available here: https://www.researchgate.net/publication/360541461_Learning_from_anywhere_anytime_Utilitarian_motivations_and_facilitating_conditions_to_use_mobile_learning_applications

Leave a comment

Filed under Conferencing Technologies, Education, education technology, internet technologies, internet technologies and society, Learning management systems, Mobile, mobile learning, online streaming, Remote Learning

Motivations to subscribe to streaming services

Photo by JESHOOTS.COM on Unsplash

Understanding motivations to use online streaming services

Prof. Mark Anthony Camilleri has recently co-authored an academic contribution that explored the consumers’ perceptions, motivations and intentions to use online streaming technologies. The following text is an adapted version of an open-access article that was accepted for publication in the Spanish Journal of Marketing – ESIC. The full paper can be accessed online through: 

https://www.emerald.com/insight/content/doi/10.1108/SJME-04-2020-0074/full/html

The unprecedented outbreak of COVID-19 has led to a considerable increase in the number of subscriptions to paid streaming services. Media and entertainment companies including Amazon’s Prime Video and Netflix, among others, are responding to these latest developments in the marketing environment. These service providers may usually acquire exclusive licensing rights to stream a variety of TV shows and movies through their online platforms. In many cases, they are also investing in resources, competences and capabilities to produce and distribute their own content. They do so to offer their subscribers a wide selection of streaming services that can be accessed through digital devices and mobile applications (apps).

In this light, the researchers explored the online users’ motivations and gratifications from watching movies, TV series and/or live broadcasts through new media devices. From the outset, the researchers hypothesised that the individuals’ acceptance of streaming technologies, as well as their ritualised and instrumental motivations to use them, would have a positive effect on their intentions to continue using them.

The findings from this research indicated that the streaming software enhanced the respondents’ experience of watching informative and/or entertainment programmes. Hence, they were committed to continue watching recorded movies and TV series through digital media including mobile devices like smart phones and tablets.

The statistical analysis revealed that there were highly significant relationships between the individuals’ perceived ease of use of online programmes and their perceived usefulness. Both factors were also correlated with their intentions to use streaming technologies.

Moreover, the survey respondents’ ritualised motivations to use these online media was found to have a very significant effect on their intentions to use them. Evidently, they were utilising online streaming technologies on a habitual basis, to break the routine. It appears that they sought emotional gratifications from streaming services, as they considered them as a form of distraction.

The research participants also revealed that they used online streaming technologies for instrumental purposes to watch informative programmes, including news and talk shows in addition to entertainment programmes, including movies and series. Other studies also reported that there were many instances where individuals benefited of their smart phones and tablets’ instrumentality and ubiquity, as they enabled them to watch recorded videos, live streams as well as intermittent marketing content, when they were out and about.

During COVID-19, more businesses allocated significant marketing expenditures to online channels. As a result, many ads were also featured in different websites, including those that offer live streaming services. Video ads are usually presented to free-tier consumers as skippable or non-skippable streaming.

In this case, participants clearly indicated their agreement with the survey item that sought information about their preferences with regards to advertising options, whilst using streaming services. Respondents were aware that subscribed users of online streaming technologies can limit or block intrusive and repetitive advertisements. This finding suggests that there is scope for digital marketers to refine the quality of their video ads. Ultimately, it is in their interest to create engaging promotional clips that appeal to their target audiences.

In a similar vein, online streaming service providers ought to feature interactive content that enhances their customers’ overall online experience. This study revealed that the survey participants appreciated that the streaming programmes can be accessed from any place, at any time, through Internet networks and decent Wi-Fi connections.

Furthermore, respondents indicated that the streaming technologies were entertaining them in their free time. This factor affected their engagement with them. On the other hand, this study demonstrated that the research participants’ instrumental motivations were not predicting their intentions to continue using these media.

One of the plausible reasons for this finding is that respondents were using big screens to watch on-demand streaming services rather than accessing them via their mobile devices’ smaller screens.  The latest TVs offer high resolution images and better sound systems than smart phones and tablets.

Recap

This contribution sheds light on the factors that are motivating individuals to purchase online streaming services. It implied that online users were subscribing to these services to entertain themselves by watching new movies and TV series, in an ad-free environment. This study confirmed that consumers perceived the usefulness of online streaming technologies as they provided secure, reliable, low latency streaming infrastructures. Probably, consumers valued the service providers’ recommender systems as they reminded them about new or trending movies and TV series. Such alerts are usually related to the consumers’ personal preferences and previous consumption behaviours.

In conclusion, it is hoped that the findings from this research will open-up future research avenues to academia. Perhaps, other studies involving interpretative research can investigate the subscribers’ opinions and beliefs on streaming services. Inductive methodologies can possibly reveal important factors about the individuals’ consumption behaviours, and could also clarify why, where, when and how they are using online streaming technologies. This way, service providers of streaming services will be in a better position to retain customers and attract new ones.

Suggested Citation: Camilleri, M.A. & Falzon, L. (2021). Understanding motivations to use online streaming services: Integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT), Spanish Journal of Marketing – ESIC., Forthcoming, DOI: 10.1108/SJME-04-2020-0074

Leave a comment

Filed under digital media, Marketing, online, online streaming