The study's objective was to adapt and evaluate the tool to measure parenting self-efficacy in a way that was acceptable for Indonesia's unique cyberparenting context, taking into account local... Show More

The study's objective was to adapt and evaluate the tool to measure parenting self-efficacy in a way that was acceptable for Indonesia's unique cyberparenting context, taking into account local customs and the growing use of digital platforms in families. A total of 202 parents were gathered as study participants, and the TOPSE was meticulously adjusted to suit the Indonesian context. The results showed a four-factor scale structure consistent with Indonesian culture. The equipment's remarkable durability emphasizes the correctness of the procedure. This study is noteworthy for its creative approach to creating a personalized assessment tool and for emphasizing the urgent need for contextualized understanding of parental self-efficacy in the digital era. This is a significant improvement in the use and integration of psychological research to improve child development and parental involvement in online learning environments, according to professionals and parents alike. It also sets a new standard for research-based, culturally aware online parenting tools.

Generational categories classify individuals born in specific time frames, known for unique traits and tech adaptability. Some research indicates that the digital-native generation is more prone to... Show More

Generational categories classify individuals born in specific time frames, known for unique traits and tech adaptability. Some research indicates that the digital-native generation is more prone to distractions than other groups. However, the underlying mechanism is unclear and influenced by many factors, such as stress. In the current study (n=299), the authors leveraged the mobile monitoring of cognitive change (M2C2) symbol search task to measure processing speed. This study examines the relationships between generational categories (Gen X, Millennials, and Gen Z), perceived stress, subjective age (considered to predict important aspects of well-being beyond chronological age), and distraction cost. These results emphasize the significant influence of age-related variables and stress in shaping susceptibility to distractions. Future research can expand participant numbers, conduct longitudinal studies to track cognitive changes in digital-era generational cohorts, and explore neurocognitive mechanisms and technological fluency's role in distraction susceptibility.