Romualda Rimasiute-Knabikiene
Biographic Data
| ID | 7917967 |
|---|---|
| NAME | Romualda Rimasiute-Knabikiene |
| GIVEN NAMES | Romualda |
| FAMILY NAME | Rimasiute-Knabikiene |
| SIGNATURE | RIMASIUTE-KNABIKIENE R |
| AFFILIATIONS | Mykolas Romeris University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Personality traits, anxiety, depression, and peer-to-peer confirmation as correlates of e-learning motivation
Introduction E-learning is a central component of higher education, yet maintaining student motivation remains difficult. Although personality traits, mental health, and peer support have each been linked to learning motivation, they are seldom examined simultaneously within an integrative framework. Drawing on Self-Determination Theory, this study examined the associations among personality traits, anxiety and depression, peer-to-peer confirmati…
Profiles of e-learners based on learning motivation
Introduction Previous research employing latent profile analysis has considerably advanced our understanding of student motivation in online learning environments. However, a gap remains in exploring how mental health and social dimensions—specifically anxiety, depression, and peer-to-peer confirmation—influence these motivational profiles. Although prior studies indicate associations between student learning motivation, mental health, and peer-t…
Associations between Depression, Anxiety, Fatigue, and Learning Motivating Factors in e-Learning-Based Computer Programming Education
Quarantines imposed due to COVID-19 have forced the rapid implementation of e-learning, but also increased the rates of anxiety, depression, and fatigue, which relate to dramatically diminished e-learning motivation. Thus, it was deemed significant to identify e-learning motivating factors related to mental health. Furthermore, because computer programming skills are among the core competencies that professionals are expected to possess in the er…
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Associations between Depression, Anxiety, Fatigue, and Learning Motivating Factors in e-Learning-Based Computer Programming Education
Quarantines imposed due to COVID-19 have forced the rapid implementation of e-learning, but also increased the rates of anxiety, depression, and fatigue, which relate to dramatically diminished e-learning motivation. Thus, it was deemed significant to identify e-learning motivating factors related to mental health. Furthermore, because computer programming skills are among the core competencies that professionals are expected to possess in the er…
Profiles of e-learners based on learning motivation
Introduction Previous research employing latent profile analysis has considerably advanced our understanding of student motivation in online learning environments. However, a gap remains in exploring how mental health and social dimensions—specifically anxiety, depression, and peer-to-peer confirmation—influence these motivational profiles. Although prior studies indicate associations between student learning motivation, mental health, and peer-t…
Personality traits, anxiety, depression, and peer-to-peer confirmation as correlates of e-learning motivation
Introduction E-learning is a central component of higher education, yet maintaining student motivation remains difficult. Although personality traits, mental health, and peer support have each been linked to learning motivation, they are seldom examined simultaneously within an integrative framework. Drawing on Self-Determination Theory, this study examined the associations among personality traits, anxiety and depression, peer-to-peer confirmati…
Impact of Technology on Adolescents (3 works) · Mental health (3 works) · Anxiety (2 works) · Applied Psychology (2 works) · Psychology (2 works) · Applied Psychology (1 work) · Big Five personality traits (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Cognitive psychology (1 work)