Integrating learner characteristics and generative AI affordances to enhance self-regulated learning: a configurational analysis

Journal of New Approaches in Educational Research, Год журнала: 2025, Номер 14(1)

Опубликована: Март 17, 2025

Abstract This study investigates the configurational impact of generative artificial intelligence (GenAI) tools on self-regulated learning (SRL) across various educational levels using a 28-week fuzzy-set qualitative comparative analysis (fsQCA) approach. The research explores how factors such as technological proficiency, user engagement, skills, and feedback quality interact with functionalities GenAI to enhance SRL capacities. Data were collected through semi-structured surveys assessments from diverse sample undergraduate postgraduate students. findings reveal that synergistic relationship between learner characteristics tool affordances significantly boosts skills. Key configurations identified include critical role high-quality functionalities, importance positive attitudes moderating effect interface experience. underscores necessity tailoring meet individual needs highlights potential these technologies create adaptive, personalized environments. results advocate for strategic integration in practices support pathways, contributing global discourse digital pedagogy enhancement learning.

Язык: Английский

Understanding Student Attitudes toward GenAI Tools: A Comparative Study of Serbia and Austria

International Journal of Cognitive Research in Science Engineering and Education, Год журнала: 2024, Номер 12(3), С. 583 - 611

Опубликована: Дек. 30, 2024

This study explores university students’ attitudes toward generative AI technology and tools in two European countries. Driven by the increasing integration of education limited research on student perceptions, particularly contexts, this aimed to understand how students view GenAI its implications for higher education. The employed a quantitative approach, using surveys collect data across different fields study, genders, A key innovation is development novel “Attitude AI” scale, designed provide robust theoretically grounded instrument measuring perceptions GenAI. scale offers valuable tool evaluating effectiveness results showed that differed significantly based their field gender. Male technical sciences had most positive adoption, indicating potential drive changes implementation. While effect size was small, finding underscores importance considering individual factors when designing interventions promote acceptance. underscored prior experience shapes attitudes, highlighting need resources familiarize with ethics. significant contribution addressing lack reliable instruments assessing GenAI, enabling deeper understanding influencing informing targeted groups. Further needed GenAI’s long-term impact.

Язык: Английский

A Systematic Review and Analysis on the Potentials and Challenges of GenAI Chatbots in Higher Education

Опубликована: Ноя. 6, 2024

Язык: Английский