No abstract
While learning at scale has the potential to widen access to education, the accessibility of courses offered on Massive Open Online Course (MOOC) platforms has not been researched in depth. This paper begins to fill that gap. Data was gathered using the participatory 'Evidence Café' method. Thematic analysis identified characteristics of accessible courses on these platforms. These characteristics include elements of both technology and pedagogy. Capturing and analysing expert insights enables this paper to provide guidance on how online courses can be made more accessible. The findings suggest that course production teams need to work collaboratively with providers to address issues of accessibility and involve learners in design, testing and evaluation. Well-designed tutor-supported activities that follow web accessibility and usability guidelines are needed, as well as educator training on accessibility.
Online inquiry, or using the Internet to generate questions and then search for, analyse, and synthesise information about these questions, is an essential part of digital literacy. However, processes involved in online inquiry are substantially complex. Prior research suggests that digital platforms can scaffold online inquiry processes. Moreover, the value of scaffolding dialogue in collaborative activities has been shown to enhance critical thinking, an important part of online inquiry. This study investigates whether the use of digital platforms designed to scaffold online inquiry can support productive dialogue when used collaboratively. Data from four pairs of high school students was collected as they worked together using both the digital platform and multiple online sources outside the platform to complete an online inquiry task. Each pair's interactions were analysed to investigate whether features of the digital platform prompted productive dialogue. In line with research suggesting the use of academic language influences content understanding, each pair's use of certain academic terms related to the task and digital platform's interface were also statistically examined. Results suggested that most productive dialogue occurred when using the digital platform. Additionally, two of the four academic terms investigated occurred more often in talk while interacting with the digital platform, compared to talk when on another website. A comparison of timelines associated with these terms offered examples of how initially they were said exclusively while on the tool, and then progressed towards independent use.
Purpose Learning from incidents (LFI) is an organisational process that high-risk industries use following an accident or near-miss to prevent similar events. Literature on the topic has presented a fragmented conceptualisation of learning in this context. This paper aims to present a holistic taxonomy of the different aspects of LFI from the perspective of front-line staff. Design/methodology/approach The 3-P model of workplace learning was used to guide a thematic analysis of interview data from 45 participants, exploring learner factors, learning context, learning processes and learning products. Findings The analysis was used to create a taxonomy of 21 aspects of learning, grouped into themes using the 3-P model of workplace learning. Many of the aspects of learning reflected previous literature, such as the importance of open communication. The analysis additionally demonstrated the interconnected nature of organisational and individual level learning, as well as how formal resources are needed to support informal learning in this context. Originality/value This study presents a holistic taxonomy of LFI from the perspective of front-line staff, addressing a known challenge of LFI literature being fragmented. Additionally, it provides examples of how aspects of organisational learning would influence individual-level learning and vice versa, adding to the relatively sparse number of studies that have explored this aspect. Finally, the paper highlights how informal learning in contexts where workers continually need to make sense of unseen hazards depends on formal learning activities and resources.
Learning analytics has been increasingly outlined as a powerful tool for measuring, analysing, and predicting learning experiences and behaviours. The rising use of learning analytics means that many educational researchers now require new ranges of technical analytical skills to contribute to an increasingly data-heavy field. However, it has been argued that educational data scientists are a 'scarce breed' (Buckingham Shum et al., 2013) and that more resources are needed to support the next generation of early career researchers in the education field. At the same time, little is known about how early career education researchers feel towards learning analytics and whether it is important to their current and future research practices. Using a thematic analysis of a participatory learning analytics workshop discussions with 25 early career education researchers, we outline in this article their ambitions, challenges and anxieties towards learning analytics. In doing so, we have provided a roadmap for how the learning analytics field might evolve and practical implications for supporting early career researchers' development.
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