Results 121 to 130 of about 11,992,048 (239)

Career Decision-Making Difficulties: Why Exploration Alone Is Not Enough for High School Students

Gadjah Mada Journal of Professional Psychology
Career exploration is important for high school students to face career decision-making difficulties. This study aims to investigate the effect of career exploration training on career decision-making difficulties among 12th-grade high school students. A
Janice Grace Lusiani Larasati Simanjuntak
doaj   +1 more source

The effect of a computer-assisted career guidance program and a vicarious experience on career decision-making self-efficacy [PDF]

, 1998
This study applied Bandura's self-efficacy theory to the process of career decision-making. An enactive attainment experience, provided by an hour's use of SIGI PLUS, and a vicarious experience, provided by videotaped models who used SIGI PLUS, were ...
Leckie, John Fannin
core  

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Cross-cultural equivalence of the Career Decision-Making Self-Efficacy Scale-Short Form: an Australian and South African comparison

, 2002
The present study examined the reliability, content and construct validity, and cul-tural equivalence of the short form of the Career Decision-Making Self-Efficacy Scale-Short Form (CDMSE-SF).
Peter A. Creed, Wendy Patton, Watson, Mark, Patton, Wendy A., Mark B. Watson, Creed, Peter   +5 more
core   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Increasing Career Decision-Making Self-efficacy Through Solution-Focused Career Counseling

Bisma The Journal of Counseling
The emergence of various new jobs means individuals must be confident in their career decisions. The problem for high school students is that students tend to need more confidence in deciding on the right career direction.
Ryan Hidayat Rafiola, Wenny Hulukati, Idriani Idris, Aisyah Ummu Hamidah   +3 more
doaj   +1 more source

Career Education Skills and Career Adaptability among College Students in China: The Mediating Role of Career Decision-Making Self-Efficacy. [PDF]

Behav Sci (Basel), 2023
Liu X, Zhang X, Dang Y, Gao W.
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Conceptualising quality early childhood education: Learning from young children in Brazil and South Africa through creative and play‐based methods

British Educational Research Journal, EarlyView., 2023
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright, Irene Rizzini, Malibongwe Gwele, Lynn McNair, Cristina Laclette Porto, Marsha Orgill, E. Kay M. Tisdall, Malcolm Bush, Linda Biersteker   +8 more
wiley   +1 more source