Zoekresultaten

Het ontwerp van gezondheidsgamebeloningen voor preadolescenten

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.

Motivational Intervention through Literature Activities (MILA): an intervention to measure motivation in secondary school students based on the Motivational Self System

Abstract The main purpose of this intervention was to measure student’s motivation in English Literature before and after an intervention based Zoltán Dörnyei’s Motivational Self System (2009) and Michael Magid’s (2011) application of the same theory in schools in Singapore. The present intervention was adapted to the students of the Dutch secondary school CLV (Christian Lyceum Veenendaal) in Veenendaal using fragments of English Literature (books, films, poems and songs). The intervention was carried out during eight lessons of fifty minutes where students had to participate in a variety of activities, all registered in a workbook assigned to each student at the beginning of the research project. Prior to and after the intervention, students filled in a questionnaire on motivation and English Literature. The results of these questionnaires were analysed with SPSS running descriptive statistical analysis. Along with these analyses, the timelines and life trees made by the students during the lessons and students’ answers given to the exercises on the workbooks were evaluated and compared. One of the most important conclusions of the intervention was that female students were more motivated, could make action plans and set goals easier and more detailed than male students. Another important result was that students in general had no interest in English Literature, although they realised it can be influential in their future life. The affective attitude of students to- wards the teacher and materials increased after the intervention, as well as students’ confidence in their own effort during class. However, the construct validity between the quantitative and qualitative data could not be established due to the fact that gender was not included as variable in the questionnaire. Gender relevancy became visible after the analyses of the workbooks. Therefore, future research will have to focus on including gender as a variable in the questionnaire in order to establish solid relations between quantitative and qualitative data. Another interesting research question for future interventions could be how to adapt English Literature and the materials that are being used in a way that both female and male students can tap into their own intrinsic motivational current.

Social comparison in learning analytics dashboard supporting motivation and academic achievement

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.

Comparing selfreport and teacher assessment of reading motivation

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Reading for meaning

Affirming and undermining motivations for reading and associations with reading comprehension, age and gender

BackgroundThere has been an increasing interest in negative or ‘undermining’ motivations for reading. In this study, we aimed to strengthen knowledge on the validity of the distinction between affirming and undermining motivations. First, we examined whether the structure of a questionnaire based on this distinction could be confirmed. Second, we examined the predictive value of undermining motivations for reading comprehension. Third, we studied moderator effects of gender and age.MethodsWe administered a reading motivation questionnaire and a reading comprehension test to 324 low-achieving adolescents. The questionnaire included items on affirming and undermining motivations for school and leisure time reading: intrinsic motivation and avoidance, self-efficacy and perceived difficulty.ResultsConfirmatory factor analyses supported the assumed structure of the questionnaire. Undermining motivations, particularly perceived difficulty, explained unique variance in reading achievement. Gender and age did not moderate effects of motivational variables.ConclusionsEducators need to be aware of the role of undermining motivations. Future research should examine if interventions can lead to the reduction of such motivations.