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Computer Security Incident Response Team Effectiveness: A Needs Assessment

Computer security incident response teams (CSIRTs) respond to a computer security incident when the need arises. Failure of these teams can have far-reaching effects for the economy and national security. CSIRTs often have to work on an ad hoc basis, in close cooperation with other teams, and in time constrained environments. It could be argued that under these working conditions CSIRTs would be likely to encounter problems. A needs assessment was done to see to which extent this argument holds true. We constructed an incident response needs model to assist in identifying areas that require improvement. We envisioned a model consisting of four assessment categories: Organization, Team, Individual and Instrumental. Central to this is the idea that both problems and needs can have an organizational, team, individual, or technical origin or a combination of these levels. To gather data we conducted a literature review. This resulted in a comprehensive list of challenges and needs that could hinder or improve, respectively, the performance of CSIRTs. Then, semi-structured in depth interviews were held with team coordinators and team members of five public and private sector Dutch CSIRTs to ground these findings in practice and to identify gaps between current and desired incident handling practices. This paper presents the findings of our needs assessment and ends with a discussion of potential solutions to problems with performance in incident response. https://doi.org/10.3389/fpsyg.2017.02179 LinkedIn: https://www.linkedin.com/in/rickvanderkleij1/

Teaching computational thinking to primary school students via unplugged programming lessons

Effectiveness and Outcome Moderators of Computer-Based Health Education for an Adult Population

This review of meta-analyses of outcome studies of adults receiving Computer-Based Health Education (CBHE) has two goals. The first is to provide an overview of the efficacy of CBHE interventions, and the second is to identify moderators of these effects. A systematic literature search resulted in 15 meta-analyses of 278 controlled outcome studies. The meta-analyses were analysed with regard to reported (overall) effect sizes, heterogeneity and interaction effects. The results indicate a positive relationship between CBHE interventions and improvements in health-related outcomes, with small overall effect sizes compared to non-computer-based interventions. The sustainability of the effects was observed for up to six months. Outcome moderators (31 variables) were studied in 12 meta-analyses and were clustered into three categories: intervention features (20 variables), participant characteristics (five variables) and study features (six variables). No relationship with effectiveness was found for four intervention features, theoretical background, use of internet and e-mail, intervention setting and self-monitoring; two participant features, age and gender; and one study feature, the type of analysis. Regarding the other 24 identified features, no consistent results were observed across meta-analyses. To enhance the effectiveness of CBHE interventions, moderators of effects should be studied as single constructs in high-quality study designs. http://www.journalofinterdisciplinarysciences.com/ https://www.linkedin.com/in/leontienvreeburg/

StudyGotchi

Motivating students to actively engage in their studying efforts is an ongoing challenge, because motivation is a key factor in study success. In the work presented here, we investigate whether the use of a mobile app with a teacher-like avatar (StudyGotchi), based on the successful digital pet Tamagotchi, can be deployed to motivate and engage computer science university students in their blended learning programming course. A randomized controlled study was performed which showed mixed results. Lessons learned include (i) better understanding of how to effectively implement the game-mechanics, and (ii) ways to circumvent technical limitations in usage.

Observing abstraction in young children solving algorithmic tasks

Abstraction is considered an essential aspect of computational thinking. Primary schools are starting to include computational thinking into the curriculum. However, in order to guide their support, teachers need to know how to recognize abstraction. In this paper, we present how we can observe abstraction in young children tasked with solving an algorithmic assignment. In order to operationalize abstraction, we have used the layers of abstraction (LOA) model by Perrenet, Groote and Kaasenbrood. This model was originally used in the field of computer science and describes programming behavior at the level of software development, but has since been extended for use in primary education. We have operationalized this model for use with 5 to 6 year old students tasked with programming an educational robot. Their behavior has been related to each of the four layers of abstraction.Students were individually instructed with programming Cubetto, an educational robot, to reach a number of destinations, increasing in the level of algorithmic complexity. We analyzed audio and video recordings of the students interacting with Cubetto and a teacher. Verbal and non- verbal behavior were categorized by two researchers and resulted in an observation schema.We conclude that our operationalization of the LOA model is promising for characterizing young students’ abstraction. Future research is needed to operationalize abstraction for older primary school students.

Process Evaluation of the FindMyApps Program Trial

BackgroundIt has been demonstrated that people with dementia’s wellbeing can improve by using touchscreen technology. The FindMyApps program is a training and web-based selection-tool to help people with dementia and their caregivers find suitable apps that can improve their self-management and engagement in meaningful activities. As part of an exploratory RCT into FindMyApps a process evaluation was conducted according to the MRC Framework for process evaluation. Contextual, implementation and mechanisms of impact factors which may influence trial outcomes were evaluated.MethodA mixed methods design was used, in which quantitative and qualitative data were collected by semi-structured interviews (SSI) with stakeholders The SSI comprised closed and open questions, designed specifically for this study. Twenty people with mild dementia (MMSE >17; GDS 3-4) or Mild Cognitive Impairment (MCI) and twenty informal caregivers in both experimental and control groups, as well as 3 other stakeholders (researchers, technical helpdesk person) involved in the implementation of the intervention, were interviewed. Participants were recruited in the Netherlands. Exclusion criteria: moderate to severe dementia or severe sight problems. All participant dyads were provided a tablet computer for the three months intervention period. In the experimental group, people with dementia and caregivers were trained to use the tablet and FindMyApps after which the caregivers guided the persons with dementia to learn to use FindMyApps and find, and use, suitable apps for self-management and meaningful activities. In the control group, dyads only received general instruction in tablet use and a list of websites where to find potentially useful apps.ResultRegarding contextual factors, it was found that some technical problems might have influenced the intervention. Regarding implementation, participants noted that the training in the use of FindMyApps was of variable quality. Regarding mechanisms of impact it was found that dyads usually used the apps they found through FindMyApps regularly and enjoyed them, but they did not use FindMyApps itself regularly.ConclusionFindMyApps was experienced as a useful tool by most people with dementia/MCI and informal caregivers. Several adaptations to the trial protocol are recommended, to ensure robust outcomes in a definitive trial into its effectiveness.