Over the last few decades, researchers put efforts to improve intelligent tutoring systems' abilities with the aim to get them as close as possible to the ultimate goal of one-to-one tutoring. CoLaB Tutor and AC-ware Tutor are intelligent tutoring systems based on conceptual knowledge learning and are notable due to the fact they are relatively easy to generalize to multiple knowledge domains. CoLaB Tutor's forte lies in teacher-learner communication in controlled natural language, while AC-ware Tutor focuses on the automatic and dynamic generation of adaptive courseware. In order to compare various intelligent tutoring system supported education environments, in this chapter, the authors summarize several empirical evaluations of CoLaB Tutor and AC-ware Tutor. The results of intelligent tutoring systems' effectiveness in these environments offer the possibility to observe the specific intelligent tutoring system across various education levels, as well as to compare the intelligent tutoring systems' supported education environments.

Purpose Intimate partner violence (IPV) represents a widespread social and public health problem. Researchers have been shown association between IPV and mental health problems. The purpose of this paper is to present a review of the literature on relationship between wide ranges of mental health problems. Design/methodology/approach Research papers related to mental health problems among IPV perpetrators and published in leading academic journals in UK and abroad from 1987 to 2017 were identified and reviewed. Findings Although there were some equivocal findings, the authors found that most of the available research suggests that there is a variety of psychological health problems among IPV perpetrators. Specifically, there was evidence of a significant relationship between anger problems, anxiety, depression, suicidal behaviour, personality disorders, alcoholism or problem gambling and perpetration of IPV. Results from analysed studies identified high rates of co-morbid disorders in IPV perpetrators. Practical implications The findings highlight the need for treatment services to undertake screening and assessment of wide range of psychological difficulties to be able to provide best treatment approaches. Originality/value To the best of our knowledge, this is the first systematic review that has included studies evaluating various psychological health problems among perpetrators of IPV.

The aim of this study was to research the relation between exposure to maltreatment in childhood and working memory capacity in adulthood. A survey among 376 females in the age between 16 and 67 was administered. Exposure to maltreatment in childhood (sexual, physical and psychological abuse, neglect and witnessing family violence) was assessed retrospectively using the Child Maltreatment Questionnaire (Karlović, Buljan-Flander, & Vranić, 2001), whilst the Working Memory Questionnaire (Vallat-Azouvi, Pradat-Diehl, & Azouvi, 2012) was used to assess working memory capacity (recalling verbal information, numerical information, attention ability and executive functioning). The results suggest a significantly greater prevalence of physical abuse and witnessing family violence in comparison to other forms of maltreatment in childhood. Psychological abuse and witnessing family violence have shown themselves to be statistically significant predictors for deficits in total working memory capacity, verbal recall and attention ability. The results suggest that traumatic experiences during childhood, such as abuse, may trigger particular cognitive changes which may be reflected in adulthood. It is, therefore, exceedingly important to conduct further research in order to contribute to the understanding of the correlation between cognitive difficulties and maltreatment in childhood.

In this research we propose a comprehensive set of knowledge indicators aimed to enhance learners’ selfreflection and awareness in the learning and testing process. Since examined intelligent tutoring systems do not include additional messaging features, the introduction of common set of knowledge indicators differentiates our approach from the previous studies. In order to investigate the relation between proposed knowledge indicators and learner performance, the correlation and regression analysis were performed for 3 different courses and each examined intelligent tutoring system. The results of correlation and regression analysis, as well as learners’ feedback, guided us in discussion about the introduction of knowledge indicators in dashboard-like visualizations of integrated intelligent tutoring system.