Several criteria have been proposed for defining cyberbullying to young people, but no studies have proved their relevance. There are also variations across different countries in the meaning and the definition of this behavior. We systematically investigated the role of five definitional criteria for cyberbullying, in six European countries. These criteria (intentionality, imbalance of power, repetition, anonymity, and public vs. private) were combined through a set of 32 scenarios, covering a range of four types of behaviors (written-verbal, visual, exclusion, and impersonation). For each scenario, participants were asked whether it was cyberbullying or not. A randomized version of the questionnaire was shown to 295 Italian, 610 Spanish, 365 German, 320 Sweden, 336 Estonian, and 331 French adolescents aged 11-17 years. Results from multidimensional scaling across country and type of behavior suggested a clear first dimension characterized by imbalance of power and a clear second dimension characterized by intentionality and, at a lower level, by anonymity. In terms of differences across types of behaviors, descriptive frequencies showed a more ambiguous role for exclusion as a form of cyberbullying, but general support was given to the relevance of the two dimensions across all the types of behavior. In terms of country differences, French participants more often perceived the scenarios as cyberbullying as compared with those in other countries, but general support was found for the relevance of the two dimensions across countries.

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Cyberbullying is a ubiquitous topic when considering young people and internet and communication technologies (ICTs). For interventional purposes, it is essential to take into account the perspective of adolescents. This is the reason why our main focus is (1) investigating the role of different criteria in the perceived severity of cyberbullying incidents, and (2) examining the differences between countries in the perceived severity of cyberbullying. The sample consisted of 1,964 adolescents (48.2% girls) from middle and high schools of four different countries, i.e., Estonia, Italy, Germany, and Turkey. The participants' age ranged from 12 to 20 years old with a mean age of 14.49 (SD = 1.66) years. To assess perceived severity, participants rated a set of 128 scenarios, which systematically included one or more of five criteria (intentionality, repetition, imbalance of power, public vs. private, and anonymity) and represented four types of cyberbullying behaviors (Written—Verbal, Visual, Exclusion, Impersonation). The role of different criteria was analyzed using the Exploratory Structural Equation Modeling (ESEM). Results showed a similar structure across the four countries (invariant except for the latent factors' means). Further, criteria of imbalance of power and, to a lesser extent, intentionality, anonymity, and repetition always in combination, were found to be the most important criteria to define the severity of cyberbullying. Differences between countries highlighted specific features of Turkish students, who perceived all scenarios as more severe than adolescents from other countries and were more sensitive to imbalance of power. German and Italian students showed an opposite perception of anonymity combined with intentionality. For Italian participants, an anonymous attack was less threatening than for participants of other countries, whereas for German students anonymity caused more insecurity and fear. In addition, Italian adolescents were more perceptive of the criterion of intentionality. Finally, Estonian adolescents did not show strong differences in their factor scores compared to adolescents from the other countries.

Over the years, researchers have used several methods to investigate reflection. These are based on various theories. Researchers mainly use qualitative methods to study reflection, but mixed methods and quantitative studies are carried out as well. A number of different scales have been developed and used to measure reflection. The main purpose of this paper is to explore the internal consistency and factor structure of two instruments for measuring reflection to find out the validity and reliability of such assessment instruments. Data was collected using two questionnaires to estimate reflection at the start of the teaching practice and induction year. The results indicated that both instruments of reflection demonstrated the validation and reliability of measure reflection. The study also showed that these scales are suitable to use in different disciplines in teacher education.

Abstract. Rapid development of information and communication technologies is having a direct impact on the lives of adolescents, and a new form of bullying has emerged. This study aims to examine how Estonian students perceive and define cyberbullying based on five cyberbullying criteria (imbalance of power, intention, repetition, anonymity, and publicity/privacy) and four types of cyberbullying behaviour (written-verbal, visual, exclusion, and impersonation). A quali-quanti approach was used consisting of focus groups and a questionnaire. Two mixed-gender focus groups of 12-and 15-year-old students were interviewed to deepen their perception in relation to cyberbullying criteria and behaviours. Results were used for the quantitative study. The questionnaire was conducted with 336 adolescents from twelve Estonian schools, aged from 11 to 17 years. Results by MDS revealed a two-dimensional model characterized by imbalance of power and anonymity. This study can help to improve understanding of the phenomenon with respect to student perceptions.

Learners who enrol in massive open online courses (MOOCs) have different backgrounds and tend to have different motivations than learners in traditional courses. Based on value-expectancy theory, an instrument was developed to measure motivation for enrolling in a programming MOOC. A study with 1229 adult participants in Estonian-language programming course "About Programming" was conducted to validate the instrument. Results of confirmatory factor analysis validated the 7-factor scale named factors influencing enrolment in MOOC (FIEM). FIEM comprises three factors of expectancies, three factors of values and one factor of social influence. The highest and lowest rated motivational factors influencing enrolment in programming MOOC are discussed in the paper. Interest in and expectations for the course, personal suitability of distance learning and suitability for family and work are the highest-rated motivational factors for those who enrol in MOOC. Usefulness related to own children, social influence and usefulness to related to certification were the lowest rated. The results of this study can be useful for designers of programming MOOCs and the developed scale might be used in future studies.