The importance of quickly assessing personality traits in many studies prompted the development of brief scales such as the Ten-Item Personality Inventory (TIPI), a measure of five personality traits (extraversion, agreeableness, conscientiousness, emotional stability, and openness). In the current study, we present the Portuguese version of TIPI and examine its psychometric properties, based on a sample of 333 Portuguese adults aged 18 to 65 years. The results revealed reliability coefficients similar to the original version (α = 0.39–0.72), very good 4-week test–retest reliability (n = 81, rs > 0.71), expected factorial structure, high convergent validity with the Big-Five Inventory (rs > 0.60), and correlations with self-esteem, affect, and aggressiveness similar to those found with standard measures of personality traits. Overall, our findings suggest that the Portuguese TIPI is a reliable and valid alternative to longer measures: it offers a promising tool for research contexts in which the available time for personality assessment is highly limited.

Mobile health applications are increasingly numerous and varied. However, despite high expectations and large budgets involved in their development they are often rejected by potential users, and little is known on why this happens. This study aimed to fill this gap by investigating the determinants of technology acceptance and its moderators. Aligned with the Unified Theory of Acceptance and Use of Technology, we examined the moderating roles of age, gender, and smartphone experience in the relationship between technology acceptance determinants (performance expectancy, effort expectancy, social influence, and facilitating conditions) and the intention to use mobile health applications (N = 394, 18-65 years). A stepwise multiple linear regression was conducted. Results showed that the intention to use mobile health applications was determined by performance expectancy moderated by age and smartphone experience, and that the role of the other determinants depended on age and gender (e.g., more intention to use in older men if less effort, and in younger men if better facilitating conditions). These findings show that user characteristics are relevant moderators and should be considered when targeting specific populations to use mobile health applications.

Background: Automated Writing Evaluation (AWE) systems to aid writing learning and instruction in primary and secondary education are growing increasingly popular.However, their effectiveness is hardly known. We conducted a systematic review focusing on the effects of these systems providing writing feedback to students in school settings.Objectives: Our goal was to identify and characterize AWE systems tested in the last 20 years for Grades 1-12 and examine their impact on text quality and other writing-related outcomes. Methods: The review followed PRISMA guidelines. We identified eight studies reporting the effects on writing of six AWE systems on 1659 students 11-17 years of age.Results and conclusions: Our review supported the usefulness of AWE systems for writing learning and instruction. Except for one, all studies showed a positive effect of automated feedback in at least one writing-related measure. The integration of AWE systems into more extensive instructional programs, the amount of writing practice provided to students, the type of the control groups, and the role of teachers are factors influencing their impact on students' writing outcomes.Relevance: Our review generally supported the value of AWE systems in the teaching/learning process of writing. A closer look into the conditions in which AWE systems are put to practice suggested that they are particularly effective when embedded into comprehensive instructional programs providing ample writing opportunities. Findings from this review expand knowledge on AWE systems as valuable tools to enhance writing in school settings.

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