Jaap Walhout

Attuning a mobile simulation game for school children using a design-based research approach

We report on a design-based research study that was conducted over nine months. It chronicles the development and implementation of HeartRun, a cardiopulmonary resuscitation (CPR) training approach for school children. Comparable to an unexpected emergency, HeartRun consists of authentic activities involving different roles, game tasks, locations and physical objects to support process-oriented learning for first responders. It aims to enhance the psychological preparedness of the rescuer and thus promotes a more prompt and appropriate response. In this paper, we describe a cycle of three design-based research (DBR) studies in which HeartRun was explored with school children. In order to better understand how to design mobile game environments that support dimensions of seamless learning, we analysed children and their knowledge-building practices while learning with HeartRun. The mobile game has evolved significantly from its initial conception through an iterative process of (re) designing and testing the synchronization between physical and digital worlds, learner collaboration and ubiquitous knowledge access, i.e. dimensions of mobile seamless learning activities. Based on our experiences, we conclude by discussing challenges and shortcomings of mobile game-based learning environments. We chronicle the development and implementation of a mobile simulation game for school children.We examine dimensions of seamless learning in order to maximize the process of learning.We derive design implications for mobile game-based learning environments.

Learning and navigating in hypertext

Hierarchical menus and tag clouds were compared when learning from hypertext.We captured logging, eye movements and task performance.Tag clouds lead to more focused search without impairing task performance.Focused search showed in less page revisits and longer consulting of tag clouds.Tag clouds support navigation and can facilitate learning from hypertext. As hypertext learning environments (HLE) are widely used in education, it is important to study and know the effects and consequences of its use. HLEs are non-linear which means that students have to develop ways of navigating through them. Thus, developing interfaces that facilitate and even guide navigation is important for learning. Research showed that successful learning in HLEs depends on both learner characteristics and HLE features. This study investigated an HLE navigation feature (navigational support with either a tag-cloud or conventional hierarchical menu), task complexity (fact-finding vs. information-gathering task) and a user characteristic (gender). Results show that neither navigational support nor gender is associated with differences in task performance. However, there are differences in information processing. Participants using a tag clouds looked longer at the navigational support and shorter at the overview pages. Combined with fewer revisits of webpages in the tag cloud condition, this indicates a more focused selection of pages. The deeper processing of information needed for the information-gathering task was reflected in fewer visits to, but longer viewing times of pages. As no differences in task performance were found, tag clouds seem to be as effective for performance as more traditional navigation structures for navigational support.

Effects of task complexity on online search behavior of adolescents

Evaluation of information during information problem‐solving processes already starts when trying to select the appropriate search result on a search engine results page (SERP). Up to now, research has mainly focused on the evaluation of webpages, while the evaluation of SERPs received less attention. Furthermore, task complexity is often not taken into account. A within‐subjects design was used to study the influence of task complexity on search query formulation, evaluation of search results, and task performance. Three search tasks were used: a fact‐finding, cause–effect, and a controversial topic task. To measure perceptual search processes, we used a combination of log files, eye‐tracking data, answer forms, and think‐aloud protocols. The results reveal that an increase in task complexity results in more search queries and used keywords, more time to formulate search queries, and more considered search results on the SERPs. Furthermore, higher ranked search results were considered more often than lower ranked results. However, not all the results for the most complex task were in line with expectations. These conflicting results can be explained by a lack of prior knowledge and the possible interference of prior attitudes.