Demographic changes, such as the ageing of society and the decline of the birth rate, are gradually leading to the loss of valuable knowledge and experience in the Dutch Labour market. This necessitates an explicit focus on workers' sustainable employment so that they can add value to the organisation throughout their career. This study looks into the way in which the workers' motivation might affect their investments into their own sustainable employment. It was conducted in a major industrial service provider, Sitech Services. The conclusion is that intrinsic motivation plays an important role in both younger and older employees, and that the younger workers undertake more action in order to give physical form to their sustainable employment than their older colleagues.
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Increasing students’ motivation in higher education by designing a specific curriculum has always been a challenging but very complex process. The Department of Business, Finance and Marketing (BFM) of The Hague University of Applied Sciences (THUAS) initiated a redesign of the curricula with the major goals of increasing flexibility of learning opportunities and offering students a more motivating, inspiring and richer diversity of learning experiences. In the literature of learning in higher education this has often been labeled as ‘offering extracurricular learning opportunities’. The redesign of the curriculum implies that the new one will result in an enhancement of the flexibility of the curriculum, by offering learning opportunities beyond the borders of specific programs like marketing, finance or entrepreneurship and retail management. The richness and diversity should create flexible platforms, offering students the possibility to enrich their career choices to design their own personalised career path, hopefully maximizing the possibilities for their talent development. However, very little is known about the relationship between the students’ satisfaction with extracurricular learning opportunities, aiming at the personalisation of students’ career choices, and their motivation. In this chapter we describe our research into this relationship between student motivation and learning environments. Designing a network curriculum by increasing the possibility of extracurricular learning opportunities in higher education could have a positive impact on students’ motivation when it is combined with activities to increase goal students’ commitment. This depends on teachers’ qualities to communicate the valence and instrumentality of the learning possibilities offered for the prospective work environment. This is a complex issue however. Teachers from different educational programs, even in the same domain, have a different orientation on existing learning opportunities within one specific program. Excellent coaching skills by tutors are important. These coaching skills are necessary to support students in the process of envisioning extracurricular learning opportunities when important career choices have to be made.
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A promising contribution of Learning Analytics is the presentation of a learner's own learning behaviour and achievements via dashboards, often in comparison to peers, with the goal of improving self-regulated learning. However, there is a lack of empirical evidence on the impact of these dashboards and few designs are informed by theory. Many dashboard designs struggle to translate awareness of learning processes into actual self-regulated learning. In this study we investigate a Learning Analytics dashboard based on existing evidence on social comparison to support motivation, metacognition and academic achievement. Motivation plays a key role in whether learners will engage in self-regulated learning in the first place. Social comparison can be a significant driver in increasing motivation. We performed two randomised controlled interventions in different higher-education courses, one of which took place online due to the COVID-19 pandemic. Students were shown their current and predicted performance in a course alongside that of peers with similar goal grades. The sample of peers was selected in a way to elicit slight upward comparison. We found that the dashboard successfully promotes extrinsic motivation and leads to higher academic achievement, indicating an effect of dashboard exposure on learning behaviour, despite an absence of effects on metacognition. These results provide evidence that carefully designed social comparison, rooted in theory and empirical evidence, can be used to boost motivation and performance. Our dashboard is a successful example of how social comparison can be implemented in Learning Analytics Dashboards.
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