Zoekresultaten

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.

Academic development to support the internationalization of the curriculum (IoC)

Little has been published regarding the training of academic developers themselves to support internationalization of the curriculum (IoC) initiatives. However, higher education institutions around the globe are responding to strategic demands for IoC which prepare students as ‘world-ready’ graduates. We employed qualitative research synthesis to identify recent journal articles which consider current trends in academic development to support IoC. Despite their diversity, we found common themes in the five selected studies. Our discussion and recommendations weave these themes with Betty Leask’s five-stage model of the process of IoC and Cynthia Joseph’s call for a pedagogy of social justice. “This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal for Academic Development on 19/11/15, available online: https://doi.org/10.1080/1360144X.2019.1691559.

Academic Drift in Dutch Non-University Higher Education Evaluated: A Staff Perspective

In the context of a European knowledge economy, the Dutch non-university institutions systematically develop research activities at a higher frequency than before. With this development, they have been accused of academic drift, of striving to receive a status comparable to traditional universities. This study considers the perceptions of both managers and lecturers in non-university higher education concerning the organisational aims for research activities. The intention is to add an empirical base to the debate of academic drift, especially to the potential of academic drift on the staff level. The results show a moderate indication of potential for academic drift on the staff level. In addition, managers have more positive perceptions regarding all aims for research than lecturers, but both groups prioritise that the results of research should, first and foremost, be directed towards improving the quality of education.

Optimizing Students’ Mental Health and Academic Performance: AI-Enhanced Life Crafting

This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.

Judgments of self-perceived academic competence and their differential impact on students' achievement motivation, learning approach, and academic performance

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.

Academic self-efficacy and academic self-concept: reconsidering structural relations