Johan Holmén, Tom Adawi and John Holmberg
While sustainability-oriented education is increasingly placing importance on engaging students in inter- and transdisciplinary learning processes with societal actors and…
Abstract
Purpose
While sustainability-oriented education is increasingly placing importance on engaging students in inter- and transdisciplinary learning processes with societal actors and authentic challenges in the centre, little research attends to how and what students learn in such educational initiatives. This paper aims to address this by opening the “black box” of learning in a Challenge Lab curriculum with transformational sustainability ambitions.
Design/methodology/approach
Realist evaluation was used as an analytical frame that takes social context into account to unpack learning mechanisms and associated learning outcomes. A socio-cultural perspective on learning was adopted, and ethnographic methods, including interviews and observations, were used.
Findings
Three context-mechanism-outcome (CMO) configurations were identified, capturing what students placed value and emphasis on when developing capabilities for leading sustainability transformations: engaging with complex “in-between” sustainability challenges in society with stakeholders across sectors and perspectives; navigating purposeful and transformative change via backcasting; and “whole-person” learning from the inside-out as an identity-shaping process, guided by personal values.
Practical implications
The findings of this paper can inform the design, development, evaluation and comparison of similar educational initiatives across institutions, while leaving room for contextual negotiation and adjustment.
Originality/value
This paper delineates and discusses important learning mechanisms and outcomes when students act as co-creators of knowledge in a sustainability-oriented educational initiative, working with authentic challenges together with societal actors.
Details
Keywords
In the modern world, when boundaries are blurring and remote communication technologies are advancing, it is critical for leaders and business owners to interact with people from…
Abstract
In the modern world, when boundaries are blurring and remote communication technologies are advancing, it is critical for leaders and business owners to interact with people from a variety of cultural backgrounds. The emergence of remote work capabilities and the phenomenon of globalisation have made it possible to collaborate seamlessly with team members and professionals throughout the world. A remote team functions as a cohesive entity even in the absence of a central office. Thanks to internet connectivity and a customised set of virtual tools, each team member can operate from anywhere in the world. This paradigm shift emphasises how important it is to develop cross-cultural communication skills and use technology to promote productive teamwork in this fast-paced, global workplace. In today's worldwide environment, cultural intelligence (CQ) is critical to the success of virtual teams. Collaboration improves when team members are aware of cultural quirks. Being culturally intelligent facilitates more seamless interactions and lowers the possibility of misunderstandings by taking into account linguistic preferences, communication methods and customs.
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Keywords
Eli Fianu, Craig Blewett and George Oppong Ampong
The study seeks to investigate the factors that influence MOOC usage by students in tertiary institutes in Ghana.
Abstract
Purpose
The study seeks to investigate the factors that influence MOOC usage by students in tertiary institutes in Ghana.
Design/methodology/approach
As this study sought both to test existing UTAUT variables and potentially identify additional variables impacting MOOC usage, a mixed method approach was used. The quantitative study was used to test the significance of UTAUT variables on MOOC usage while the qualitative study was conducted to validate the quantitative results and potentially determine additional factors impacting MOOC usage.
Findings
The results of the quantitative data analysis showed that computer self-efficacy, performance expectancy and system quality had a significant influence on MOOC usage intention. Facilitating conditions, instructional quality and MOOC usage intention were found to have a significant influence on actual MOOC usage. The results of the qualitative data analysis showed that information-seeking behaviour and functional Internet access were dominant non-UTAUT factors that influence actual MOOC usage, while teacher motivation was a dominant non-UTAUT factor that influenced MOOC usage intention.
Research limitations/implications
The study employed a non-probability sampling technique which imposes limitations on the generalizability of the findings. Additionally, the study was conducted in two out of the ten geographical and administration regions of Ghana; this also imposes limitations on the generalizability of the findings.
Practical implications
It is important that lecturers and university management find ways of motivating students to participate in MOOCs. Lecturers can influence students to use MOOCs if they regularly and persistently spur the students on to use MOOCs. Lecturers can also adopt other innovative strategies such as posting MOOC information on student noticeboards, the formation of MOOC clubs and the commissioning of MOOC champions on campuses.
Social implications
The significance of functional Internet access in MOOC usage implies that good Internet connectivity is critical for online learning in developing countries. Regulators of Internet service providers must enforce strict adherence to quality of service standards regarding the provision of Internet service. The Internet service pricing regime must favour the use of the Internet for learning purposes.
Originality/value
The study adopted a mixed method approach to explore MOOC usage in a West African university context. The non-significance of two key UTAUT variables (effort expectancy and social influence) points to a key difference between the application of adoption and usage models to information systems compared to e-learning systems. Additionally, three other variables, namely information-seeking behaviour, functional Internet access and teacher motivation, were found to impact MOOC usage. The study presents a model of MOOC usage (MMU).