Self regulated learning strategies – predictors of academic adjustment

AbstractOur study aims to highlight the relationship between students’ previous academic performances, psychological characteristics of the learning motivation, learning strategies, and the first year academic adjustment. We suppose that previous academic achievement, self regulated learning strategies and motivational orientations predict academic adjustment. The hierarchical regression technique highlighted that self regulated learning strategies, academic self efficacy and test anxiety are predictors of academic adjustment, the strongest predictors being the metacognitive regulation strategies

Factors determining the use of e-learning and teaching satisfaction

Even though in 2021 many universities have decided to resume teaching activities face to face, we believe that the use of online applications will remain a feature of the educational system due to the flexibility offered and the learning possibilities. We aim to analyze the predictive role of personal factors, such as self-efficacy, technostress creators, technostress inhibitors, and tolerance to uncertainty in the use of e-learning tools for teaching and in the use of these applications in the context of the uncertainty generated by the pandemic. The sample consisted of 1,517 academics. The results showed that technostress creators mediate the relationships between technostress inhibitors, technology self-efficacy, use of applications, and satisfaction with the use of e-learning platforms. Although the current context is dominated by uncertainty, the hypotheses regarding the direct and indirect effects of uncertainty in the use of online s in education were partially sustained. The most important finding of our study is that, although the current context is characterized by uncertainty, the negative impact of the resulting higher levels of stress can be counteracted by a high level of technology self-efficacy which, in turn, predicts a greater extent the use of platforms and the satisfaction of using these platforms

Dropout of adult learners returning to university: interactions of motivational and environmental factors

The purpose of this paper is to highlight how motivational and contextual factors interact together to explain the dropout process of adult learners returning to university. From seventeen semi-structured interviews, four main interactions have been identified between entry motives, dimensions of perceived value and expectancy, life and learning contexts. The findings from this study indicated that studying dropout of adult learners with motivational factors enables a deeper understanding taking into account the different commitments of this population and the motivational dynamic

An Analysis of the Impact of Personality Traits towards Augmented Reality in Online Shopping

The Internet as a shopping and purchasing medium has become an extensively researched topic. Augmented realty, in particular, allows consumers to explore their options and make personalised changes while shopping online. Our study aims to analyse the symmetry between the attitudes towards using the traditional electronic online shopping and the electronic commerce that uses augmented reality. We also investigate the effects of personality traits and the attitudes towards the Internet on the two electronic commerce forms. Our results show that the buying intention in online shopping is significantly higher in the case of augmented reality. Our results also reveal associations between personality traits and online buying behaviours, i.e., neuroticism and the openness to experiences being associated with the willingness to buy online. On the other hand, personality traits are proved to predict buying impulsiveness, the highest weight being represented by low emotional stability and high external locus of control. Further research should also include other dimensions, such as the perceived risks associated with online purchasing, self-efficacy or anxiety towards technology

An Analysis of the Impact of Personality Traits towards Augmented Reality in Online Shopping

The Internet as a shopping and purchasing medium has become an extensively researched topic. Augmented realty, in particular, allows consumers to explore their options and make personalised changes while shopping online. Our study aims to analyse the symmetry between the attitudes towards using the traditional electronic online shopping and the electronic commerce that uses augmented reality. We also investigate the effects of personality traits and the attitudes towards the Internet on the two electronic commerce forms. Our results show that the buying intention in online shopping is significantly higher in the case of augmented reality. Our results also reveal associations between personality traits and online buying behaviours, i.e., neuroticism and the openness to experiences being associated with the willingness to buy online. On the other hand, personality traits are proved to predict buying impulsiveness, the highest weight being represented by low emotional stability and high external locus of control. Further research should also include other dimensions, such as the perceived risks associated with online purchasing, self-efficacy or anxiety towards technology