Viktorija Piscalkiene

Dr. Viktorija Piscalkiene


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 January 2022 in Health, Interprofessional Practice and Education
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Journal Article
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JRJan-Jaap Reinders
Jan-Jaap Reinders
RTRasa Tamulienė
Rasa Tamulienė
VPViktorija Piscalkiene
Viktorija Piscalkiene
WKWim P. Krijnen
Wim P. Krijnen
LNLijana Navickienė
Lijana Navickienė
DKDainė Krasuckienė
Dainė Krasuckienė

5 November 2012 in Sveikatos mokslai
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Journal Article
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VPViktorija Piscalkiene
Viktorija Piscalkiene
AKAusra Kavaliauskiene
Ausra Kavaliauskiene
BZBrigita Zachovajeviene
Brigita Zachovajeviene
MGMilda Gintiliene
Milda Gintiliene
LRLaura Rutkauskiene
Laura Rutkauskiene
Risk Factors for Falls Among Elderly

3 December 2024 in BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
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Journal Article
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VPViktorija Piscalkiene
Viktorija Piscalkiene
Mohammad Al-WardatMohammad Al-Wardat
Mohammad Al-Wardat
DBDaiva Bartusiene
Daiva Bartusiene
Vaidas JotautisVaidas Jotautis
Vaidas Jotautis
ELEvelina Lamsodiene
Evelina Lamsodiene
LNLijana Navickiene
Lijana Navickiene
Enhancing the inclusion of neurodiverse students in higher education institutions represents a significant and evolving challenge for educators. Recognizing learning difficulties and equipping teachers with the knowledge and skills to effectively work with and communicate with neuro-diverse students are crucial steps toward achieving social inclusion. Aim – to explore the neurodiversity of Lithuanian college students and its link to learning difficulties and supporting measures. Two developmental adult disorders were presented to illustrate the expression of neurodiversity including attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD). A cross-sectional survey included 512 students from Kauno Kolegija Higher Education Institution. The survey assessed 39 attributes related to students’ learning difficulties and supporting measures. The nine scales, consisting of 39 items, demonstrated good internal consistency, with a Cronbach's alpha coefficient of 0.76. Due to the unequal and smaller sample sizes of attention deficit hyperactivity and autism spectrum disorders having students, non-parametric statistics (Kruskal-Wallis) were used. Spearman's correlation coefficient (R²) was used for correlation analysis. Results. Nearly a quarter of the students associate their neurodiversity with ADHD, with 22.3 % suspecting they have the condition and 2 % noted that this is confirmed. 4.7% of students consider themselves to be on the autism spectrum disorder (ASD), with 0.6% having a confirmed diagnosis. Statistically significant differences were identified in the relationship between ADHD and attention difficulties at home, college, sensory sensitivity and specific learning difficulties (p ≤ 0.05). ADHD and ASS suspected of having students tend to have lower grade point average (GPAs). Students who suspect or confirm having ADHD express a higher preference for organizational tools compared to those without ADHD, with a significant difference (p ≤ 0.05). Preferences for explanations and illustrations are higher among those suspecting ADHD (p ≤ 0.05). The analysis of expectations from lecturers and organization concerning ASD shows minimal variation among groups (p≥0.05). Conclusions. Neurodiversity among students is a relevant phenomenon that is associated with learning difficulties that interfere with achieving good learning outcomes. However, the role of the teacher and organization is exclusively relevant for the ADHD student group. For ASD students and neurotypical students, universal approaches are appropriate.

5 November 2012 in Sveikatos mokslai
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Journal Article
Open access
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VPViktorija Piscalkiene
Viktorija Piscalkiene
ESEgle Stasiunaitiene
Egle Stasiunaitiene
Students Experiential Learning in the Scientific Applied Research Practice