The design of health game rewards for preadolescents Videogames are a promising strategy for child health interventions, but their impact can vary depending on the game mechanics used. This study investigated achievement-based ‘rewards’ and their design among preadolescents (8-12 years) to assess their effect and explain how they work. In a 2 (game reward achievement system: social vs. personal) x 2 (game reward context: in-game vs. out-game) between-subjects design, 178 children were randomly assigned to one of four conditions. Findings indicated that a ‘personal’ achievement system (showing one’s own high scores) led to more attention and less frustration than a ‘social’ achievement system (showing also high scores of others) which, in turn, increased children’s motivation to make healthy food choices. Furthermore, ‘out’-game rewards (tangible stickers allocated outside the game environment) were liked more than ‘in’-game rewards (virtual stickers allocated in the game environment), leading to greater satisfaction and, in turn, a higher motivation to make healthy food choices.
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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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Using path analysis, the present study focuses on the development of a model describing the impact of four judgments of self-perceived academic competence on higher education students' achievement goals, learning approach, and academic performance. Results demonstrate that academic self-efficacy, self-efficacy for self-regulated learning, academic self-concept, and perceived level of understanding are conceptually and empirically distinct self-appraisals of academic competence which have a different impact on student motivation, learning, and academic performance. Furthermore, the current study suggests that students reflecting high scores on the four measures of self-perceived competence, are more persistent, more likely to adopt mastery and/or performance approach goals, less anxious, process the learning material at a deeper level, and achieve better study results. However, this study also warns that high self-perceived competence (e.g., perceived level of understanding), if not accompanied by a mastery goal orientation, can turn into overconfidence resulting in lower persistence levels and poorer study results.
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Deploying Learning Analytics that significantly improve learning outcomes remains a challenge. Motivation has been found to be related to academic achievement and is argued to play an essential role in efficient learning. We developed a Learning Analytics dashboard and designed an intervention that relies on goal orientation and social comparison. Subjects can see a prediction of their final grade in a course as well as how they perform in comparison to classmates with similar goal grades. Those with access to the dashboard ended up more motivated than those without access, outperformed their peers as the course progressed and achieved higher final grades. Our results indicate that learner-oriented dashboards are technically feasible and may have tangible benefits for learners.
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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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Introduction Student success is positively linked to engagement, but negatively linked to emotional exhaustion. Though both constructs have been conceptualized as opposites previously, we hypothesize that students can demonstrate high or low engagement and emotional exhaustion simultaneously. We used quantitative and qualitative data to identify the existence of four student profiles based on engagement and exhaustion scores. Furthermore, we studied how profiles associate to study behaviour, wellbeing and academic achievement, and what risks, protective factors and support requirements students and teachers identify for these profiles. Methods The Student Wellbeing Monitor 2021, developed by Inholland University of Applied Sciences, was used to identify profiles using quadrant analyses based on high and low levels of engagement and emotional exhaustion (n= 1460). Correlation analyses assessed profile specific differences on study behaviours, academic delay, and wellbeing. Semi-structured interviews with students and teachers are currently in progress to further explore the profiles, to identify early signals, and to inspect support requirements. Results The quadrant analysis revealed four profiles: low engagement and low exhaustion (energised-disengaged; 9%), high engagement and low exhaustion (energised-engaged; 15%), low engagement and high exhaustion (exhausted-disengaged; 48%), and high engagement and high exhaustion (exhausted-engaged; 29%). Overall, engaged students demonstrated more active study behaviours and more social connections and interactions with fellow students and teachers. The exhausted students scored higher on depressive symptoms and stress. The exhausted-engaged students reported the highest levels of performance pressure, while the energised-disengaged students had the lowest levels of performance pressure. So far, students and teachers recognise the profiles and have suggested several support recommendations for each profile. Discussion The results show that students can be engaged but at the same time are exhausting themselves. A person-oriented mixed-methods approach helps students and teachers gain awareness of the diversity and needs of students, and improve wellbeing and student success.
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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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Many children aged 9–12 appear to have low levels of fundamental movement skills (FMS). Physical education (PE) is important because PE-teachers can teach children a variety of FMS and can influence PE-motivation. However, declined levels of PE-motivation are reported in the final grades of elementary school. Therefore, more insight in the relations between PE-motivation and FMS is needed.Purposes: In the first phase, instruments to measure the satisfaction of basic psychological needs (competence, autonomy, classmate relatedness and teacher relatedness) and PE-motivation (autonomous and controlled) in 9–12-year-old children were developed and validated. The purpose of the second phase was to examine the influence of basic psychological needs on PE-motivation, the influence of PE-motivation on locomotor skills, object control skills and balance skills, and the direct influence of basic psychological needs on FMS for boys and girls aged 9–12.Participants and data collection: In the first phase, 172 children (82 boys, 90 girls, M = 10.72 years ± 0.77) filled out questionnaires assessing the satisfaction of their basic psychological needs and motivation for PE. Forty-eight children completed the questionnaires again 4 weeks later. In the second phase, a total of 138 children (66 boys, 72 girls, 10.8 years ± .79) (three schools from phase 1 and one new school) participated. Children from the new school also completed the questionnaires and all children conducted the subtest for speed and agility, upper limb coordination and balance of the Bruininks-Oseretsky Test of Motor Proficiency 2.Data analysis: In phase 1, linear weighted Kappa's and the Mokken Scale Program for polychotomous items were used to test reliability and validity. In phase 2, Pearson's correlations and multiple linear regression analyses were performed to examine the relations.Findings: Regarding phase 1, all subscales were reliable and the validity was considered moderate to strong except for the autonomy subscale, which was not reliable and valid. With respect to phase 2, all basic psychological needs, except autonomy among girls, had moderate to strong correlations with autonomous PE-motivation. Teacher relatedness was the most important predictor for boys and girls, while the second predictor was classmate relatedness for boys and competence for girls. No positive significant relations between basic psychological needs and FMS and between PE-motivation and FMS were found. In contrary, moderate but negative relations between teacher relatedness and balance skills and between autonomous PE-motivation and balance skills were found for boys.Conclusions: The results confirmed the importance of the basic psychological needs in the prediction of autonomous PE-motivation in 9–12-year-old children. Although all needs should be supported by the PE-teacher, it is important to be aware of the different impact of the needs on autonomous PE-motivation for boys and girls. Despite the missing relations with FMS, PE-teachers seem to be able to autonomously motivate children for PE regardless of their FMS proficiency.
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Abstract: This case study examines the use of an eHealth application for improving preoperative rehabilitation (prehabilitation). We have analysed healthcare professionals' motivators and drivers for adopting eHealth for a surgical procedure at academic medical facilities. The research focused on when and why healthcare professionals are inclined to adopt eHealth applications in their way of working? For this qualitative study, we selected 12 professionals involved in all levels of the organisation and stages of the medical process and conducted semi-structured interviews. Kotter’s transformational change model and the Technology Acceptance Model were used as analytical frameworks for the identification of the motivation of eHealth adoption. The findings suggest that contrary to Kotter’s change model, which argues that adoption of change is based on perceptions and feelings, the healthcare drivers are rational when it comes to deciding whether or not to adopt eHealth apps. This study further elaborates the observation made by the Dutch expertise centre on eHealth, Nictiz, that when the value of an eHealth pplication is clear for a stakeholder, the adoption process accelerates. Analysis of the motivations and drivers of the healthcare professionals show a strong relationship with an evidence-based grounding of usefulness and the responsibility these professionals have towards their patients. We found that healthcare professionals respond to the primary goal of improving healthcare. This is true if the eHealth application will innovate their work, but mainly when the application will improve the patient care they are responsible for. When eHealth applications are implemented, rational facts need to be collected in a study before deployment of eHealth applications on how these applications will improve the patient's health or wellbeing throughout their so-called medical journey for their treatment. Furthermore, the preference to learn about new eHealth applications from someone who speaks from authority through expertise on the subject matter, suggests adoption by healthcare professionals may be accelerated through peers. The result of this study may provide healthcare management with a different approach to their eHealth strategy. Future research is needed to validate the findings in different medical organisational settings such as regional healthcare facilities or for-profit centers which do not necessarily have an innovation focus but are driven by other strategic drivers.
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Entrepreneurs are likely to be victims of ransomware. Previous studies have found that entrepreneurs tend to adopt few preventive measures, thereby increasing their chances of victimization. Due to a lack of research, however, not much is known about why entrepreneurs lack self-protective behaviors and how they can be encouraged to change said behaviors. Therefore, the purpose of this study is to explain, by means of an extended model of the Protection Motivation Theory (PMT), the motivation for entrepreneurs using protective measures against ransomware in the future. The data for our study were collected thanks to a questionnaire that was answered by 1,020 Dutch entrepreneurs with up to 250 employees. Our Structural Equation Modelling (SEM) analysis revealed that entrepreneurs are more likely to take preventive measures against ransomware if they perceive the risk of ransomware as severe (perceived severity), if they perceive their company as being vulnerable (perceived vulnerability), if they are concerned about the risks (affective response), and if they think that the people and companies around them expect them to apply preventive measures (subjective norms). However, if entrepreneurs think that they are capable of handling the risk (self-efficacy) and are convinced that their adopted preventive measures are effective (response efficacy), they are less likely to take preventive measures. Furthermore, for entrepreneurs that outsource IT security, the significant effect of perceived vulnerability and subjective norms disappears. The likelihood of entrepreneurs protecting their business against ransomware is thus influenced by a complex interplay of various motivational factors and is partly dependent on the business’ characteristics. Based on these findings, we will discuss security professionals’ prospects for increasing the cyber resilience of entrepreneurs, thus preventing cybercrime victimization.
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