Assessment of Virtual Peer Learning by Peer Feedback: A Pilot Project. [PDF]
Uthraraj NS +8 more
europepmc +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Achievement Matters: External Peer Review of Accounting Learning Standards: Final Report
This project was led jointly by Phil Hancock and Mark Freeman, together with a project team comprising highly regarded colleagues from the accounting discipline. The project was commissioned by the Australian Business Deans Council as a follow on project
Abraham, Anne (R14556) +6 more
core
A Curriculum Ignored? The Usage of Unofficial Commercial and Peer Learning Resources in Undergraduate Medical Education at a Canadian Medical School. [PDF]
Makus D +3 more
europepmc +1 more source
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
Introducing the SAPS System and a Corresponding Allocation Mechanism for Synchronous Online Reciprocal Peer Support Activities [PDF]
While student populations in higher education are becoming more heterogeneous, recently several attempts have been made to introduce online peer support to decrease the tutor load of teachers.
Jan van Bruggen +3 more
core
Peer learning can modify the reciprocal relationship between peer support and victimization in middle school. [PDF]
Low S, Van Ryzin MJ, Roseth CJ.
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Implementation of coaching and peer learning collaboratives to support home visiting practices. [PDF]
McKelvey LM +7 more
europepmc +1 more source
The development and implementation of a blended video watching and peer learning model for master's nursing students: a quasi-experimental study. [PDF]
Wong AKC, Hung TTM, Bayuo J, Wong FKY.
europepmc +1 more source

