Results 81 to 90 of about 167,962 (311)

Virtual learning environments – help or hindrance for the ‘disengaged’ student? [PDF]

, 2009
The introduction of virtual learning environments (VLEs) has been regarded by some as a panacea for many of the problems in today’s mass numbers modular higher education system.
Mackie, Sarah, Maltby, Alice
core   +3 more sources

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Pre-teaching to enhance inclusive learning: connecting cognition, motivation, volition, and emotion

Frontiers in Education
Some learners face systemic or personal barriers to participate in classroom activities, such as limited access to high-quality educational resources, language challenges, varying levels of prior knowledge, or individual learning needs and abilities. Pre-
Barbara Blanc, Seda Aydan, Christoforos Mamas   +2 more
doaj   +1 more source

Motivational Interviewing Impact on Cardiovascular Disease [PDF]

, 2020
: Harm reduction in cardiovascular disease is a significant problem worldwide. Providers, families, and healthcare agencies are feeling the burdens imparted by these diseases.

core  

Students Motivation Levels and Barriers to Learning Physical Education: Senior High School Perspective

Physical Activity Journal
This study investigated high school students motivation and barriers to implementing Physical Education (PE). This study used a descriptive quantitative research survey method involving 300 samples. The instrument utilizes an online motivation questionnaire for data collection. The data is analyzed using percentage analyses.
Dinta Dwi Sirojul Muhyi, Rama Kurniawan, Surya Adi Saputra   +2 more
openaire   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Analysis of instructors’ oral feedback practices and contextual constraints in the EFL classroom: a qualitative study

Humanities & Social Sciences Communications
Oral feedback is widely acknowledged as a powerful tool for fostering reflective and self-regulated learning. However, at Hawassa University, Ethiopia, its effective implementation remains limited.
Kefyalew Woreta, Taye Gebremariam, Mesfine Abera   +2 more
doaj   +1 more source

Exploring Heavy Goods Vehicle Operators’ Opinions on E-Learning for Enhanced Road Safety in Ethiopia: Insights from the Addis Ababa-Djibouti Trade Corridor

Safety
This study examines crash involvement, safety training exposure, and e-learning readiness among commercial heavy goods vehicle (HGV) drivers in Ethiopia.
Salem Beyene, Kris Brijs, Jemal Mohammed, Bikila Wodajo, Tom Brijs, Geert Wets, Veerle Ross   +6 more
doaj   +1 more source

Students’ Attitudes Toward Self-Directed Learning at Tabriz University of Medical Sciences [PDF]

مجله ایرانی آموزش در علوم پزشکی, 2017
Introduction: For reasons such as the dominance of quantity-oriented approach, traditional educational systems mostly focused on education and its development; however, these systems are now shifting toward research and finding new ways to understand the

doaj