Danica Kaye Hallarte

Biographic Data

ID9487038
NAMEDanica Kaye Hallarte
GIVEN NAMESDanica Kaye
FAMILY NAMEHallarte
SIGNATUREHALLARTE D K
AFFILIATIONSCebu Technological University
ORCID0000-0002-5821-1818
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0

  • Risk, value, and engagement in GenAI use for research

    Open AccessGamaliel Gonzales, Danica Kaye Hallarte et al.ARTICLESocial Sciences & Humanities Open2026

    Generative Artificial Intelligence (GenAI) is changing how knowledge is shared and used across many fields. Its use in research offers benefits but also raises perceptions of risk, value, and engagement that influence adoption. This study examines the factors influencing the adoption of GenAI among higher education research students by applying Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance–Performance Map Analysis (I…

  • AI integration in mathematics education

    Open AccessAnjie Manto, Mitchie Anne Visitacion et al.ARTICLESocial Sciences & Humanities Open2026

    The integration of artificial intelligence (AI) in mathematics education has expanded rapidly, offering both transformative opportunities and critical challenges. The growing volume and diversity of research in this field have also made it increasingly difficult to synthesize findings. This paper examines 54 studies published between 2017 and 2025 to identify the key challenges and pedagogical approaches associated with AI use in mathematics educ…

  • A PLS-SEM approach to model the motivation to learn mathematics in online classes

    Open AccessGamaliel Gonzales, Masza Lyn Milano et al.ARTICLEActa Psychologica2026

    Learning mathematics is often perceived as demotivating by many students due to its varying levels of difficulty. Understanding the factors that influence student motivation in online learning is essential for informing educational management and policy decisions. To examine these relationships, this study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the links among parental encouragement, action planning, self…

  • Aspirations of becoming a mathematics or a science teacher

    Open AccessChristeodoflor Ramos, Mary Grace Villaflor et al.ARTICLESocial Sciences & Humanities Open2025

    Addressing the global shortage of qualified math and science teachers is a serious challenge, especially for developing countries that are losing skilled educators to jobs overseas. The paper examines the factors influencing career aspirations among preservice teachers in mathematics and science, an area that has received limited focused investigation. Using covariance-based structural equation modeling (CB-SEM), the proposed model examines how m…

  • Development and validation of moral ascendancy and dependency in AI integration (MAD-AI) scale for teachers

    Open AccessJoanne Jorolan, Florejane Cabillo et al.ARTICLEComputers & Education2025

  • Modeling self-regulation in learning mathematics through teacher-promoting interaction and parental support among STEM learners

    Open AccessDanica Kaye Hallarte, Quenie Marie Camaongay et al.ARTICLESocial Sciences & Humanities Open2024

    This study investigated the factors affecting self-regulation in learning mathematics with the teacher-promoting interaction, parental support, and the mediating role of math intrinsic motivation. Covariance-based structural equation modeling was employed to examine structural relationships between the variables. A total of 1112 senior high school learners under the Science, Technology, Engineering, and Mathematics (STEM) strand in Central Visaya…