Edutopia

Simple Swaps for Moving From Passive to Active Learning

Most teachers (myself included) don’t want to rely on lectures and worksheets to do our jobs. The problem is that it’s time-intensive and difficult to plan for lots and lots of active learning, which ...
Rocky Mountain Collegian

How Studocu AI Turns Student Notes into Study Guides

Students spend hours organizing messy notes into effective study guides. AI tools can instantly convert notes into quizzes and flashcards, saving significant study time. Active learning methods like ...
The Conversation

Chalk and talk vs. active learning: what’s holding South African teachers back from using proven methods?

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...
Case Western Reserve University

Experiential Learning

Learning results from what the student does and thinks and only from what the student does and thinks. The teacher can advance learning only by influencing what the student does to learn. (Lovett et ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Law

Gen AI In e-Discovery: The Now, the Next and the Never

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this ...
Frontiers

Weakly supervised multiple-instance active learning for tooth-marked tongue recognition

Introduction: Recognizing a tooth-marked tongue has important clinical diagnostic value in traditional Chinese medicine. Current deep learning methods for tooth mark detection require extensive manual ...
IEEE

An Active Authorization Control Method for Deep Reinforcement Learning Model Based on GANs and Adaptive Trigger

Abstract: In recent years, deep reinforcement learning (DRL) has found widespread applications across diverse scenarios. Since the DRL training process requires substantial time and financial costs, ...
JSTOR Daily

Effectiveness of Small Group Work in Teaching Writing to First Year Students in Addis Ababa University

The Ethiopian Journal of Education, Vol. 41, No. 1 (June 2021), pp. 153-197 (45 pages) The purposes of this classroom-based research were to assess the benefit of a cooperative-group methodology that ...
University of Wyoming

UW Science Initiative Programs Connect High School and Community College in Computational Learning

Rock Springs High School science teacher Deb Jensen, second from left, assisted with a STEM (science, technology, engineering and technology) program at Western Wyoming Community College. University ...
C&EN

Assessing the Robustness and Scalability of Machine Learning Methods to Accelerate Ultralarge High-Throughput Docking Campaigns

Although it would be useful to incorporate these ML protocols within large-scale virtual screening campaigns in a consistent manner, the performance of these ML algorithms depends on the target and ...
C&EN

Can Deep Learning Blind Docking Methods be Used to Predict Allosteric Compounds?

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Allosteric compounds offer an alternative mode of inhibition to orthosteric compounds ...