Enhancing academic stress assessment through self-disclosure chatbots: effects on engagement, accuracy, and self-reflection DOI Creative Commons

M. Park,

Sidney Fels, Kyoungwon Seo

et al.

International Journal of Educational Technology in Higher Education, Journal Year: 2025, Volume and Issue: 22(1)

Published: May 8, 2025

Abstract Academic stress significantly affects students’ well-being and academic performance, highlighting the need for more effective assessment methods to guide targeted interventions. This study investigates how self-disclosure chatbots—designed share relevant experiences thoughts—can enhance assessments by increasing student engagement, improving accuracy, fostering deeper self-reflection. Two chatbot conditions were developed: a (SD) that used personal narratives build empathy, non-self-disclosure (NSD) chatbot. In randomized experiment with 50 university students, participants interacted either SD or NSD Results showed elicited higher as evidenced longer session lengths (15.55 ± 5.92 min) word counts (240 114.02 words), compared (11.31 5.21 min; 162.38 66.24 words). Assessment accuracy—evaluated comparing results from SISCO Inventory of Stress chatbot-generated evaluations—was slightly (0.936) than (0.862), based on accuracy within one-point deviation. Moreover, students who reported self-reflection developed actionable strategies managing their stress. Overall, these findings illuminate value in chatbot-based highlight broader applications addressing mental health challenges educational settings.

Language: Английский

“It's Too Much On Top of Your Own Food Drama”: Exploring Food Allergy Identity and Experience Through Social Media DOI
Chun-Han Wang, Elizabeth Kaziunas, Chia-Fang Chung

et al.

Published: April 24, 2025

Language: Английский

Citations

0
The Efficacy of Incorporating Artificial Intelligence (AI) Chatbots in Brief Gratitude and Self-Affirmation Interventions: Evidence from Two Exploratory Experiments DOI Creative Commons

Jia-Yi Hung,

Andree Hartanto, Adalia Y. H. Goh

et al.

Computers in Human Behavior Artificial Humans, Journal Year: 2025, Volume and Issue: unknown, P. 100151 - 100151

Published: April 1, 2025

Language: Английский

Citations

0
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships DOI
Renwen Zhang, Han Li, Han Meng

et al.

Published: April 24, 2025

Language: Английский

Citations

0
How Self-Disclosing Chatbots Influence Student Engagement, Assessment Accuracy, and Self-Reflection in Academic Stress Assessment DOI

M. Park,

Bogyeom Park, Kyoungwon Seo

et al.

Published: April 25, 2025

Language: Английский

Citations

0
Enhancing academic stress assessment through self-disclosure chatbots: effects on engagement, accuracy, and self-reflection DOI Creative Commons

M. Park,

Sidney Fels, Kyoungwon Seo

et al.

International Journal of Educational Technology in Higher Education, Journal Year: 2025, Volume and Issue: 22(1)

Published: May 8, 2025

Abstract Academic stress significantly affects students’ well-being and academic performance, highlighting the need for more effective assessment methods to guide targeted interventions. This study investigates how self-disclosure chatbots—designed share relevant experiences thoughts—can enhance assessments by increasing student engagement, improving accuracy, fostering deeper self-reflection. Two chatbot conditions were developed: a (SD) that used personal narratives build empathy, non-self-disclosure (NSD) chatbot. In randomized experiment with 50 university students, participants interacted either SD or NSD Results showed elicited higher as evidenced longer session lengths (15.55 ± 5.92 min) word counts (240 114.02 words), compared (11.31 5.21 min; 162.38 66.24 words). Assessment accuracy—evaluated comparing results from SISCO Inventory of Stress chatbot-generated evaluations—was slightly (0.936) than (0.862), based on accuracy within one-point deviation. Moreover, students who reported self-reflection developed actionable strategies managing their stress. Overall, these findings illuminate value in chatbot-based highlight broader applications addressing mental health challenges educational settings.

Language: Английский

Citations

0