Supporting adult-learners’ online interaction in computer-mediated learningOSF by Nanda van der Stap, Theo van den Bogaart, Ebrahim Rahimi, Stan van Ginkel, Tobey Nelson, Johan Versendaal

“…Without an instructional model that supports adult-learners’ online interaction, teachers may fall back on traditional in-class teaching in an effort to make up for missed learning opportunities. …”
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Student evaluations of teaching do not reflect student learning: an observational study by R. O. Gilbert, D. R. Gilbert

“…Course evaluations and student grades were recorded for courses from fall 2018 to summer 2022, spanning 12 cohorts of students, and 160 individual courses. …”
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Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting by Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan

“…While they accurately predict ordinary precipitation events, these methods often fall short in nowcasting extreme precipitation events. …”
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Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors by Bruno Andò, Salvatore Baglio, Mattia Manenti, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Mario Zappia, Giovanni Mostile

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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

“…Deep learning can make the computing model that contains a number of processing layers to learn the data that contains many levels of abstract representation.This kind of learning way in the most advanced speech recognition,visual object recognition,object detection and many other areas,such as biology,genetics and medicine brought significant improvement.Deep learning can find the complex structure of large data,and the convolution neural network as one of the important models of the depth study in the processing of voice,image,video and text,and other aspects of a new breakthrough.It is the use of BP algorithm to guide the machine how to get the error before the layer to adjust the parameters of this layer,so that these parameters are more conducive to the calculation of the model.In view of the shortcomings of traditional BP algorithm,a fast BP algorithm is proposed,which has the disadvantages of slow convergence speed and often falls into local minimum points.The improved convolutional neural network is used to validate the data set MNIST,English character recognition and medical image.The simulation results show the effectiveness of the proposed algorithm.…”
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Exploration-based learning of a stabilizing controller predicts locomotor adaptation by Nidhi Seethapathi, Barrett C. Clark, Manoj Srinivasan

“…It is unclear how such adaptation improves performance measures like energy consumption or symmetry while avoiding falling. Here, we model locomotor adaptation as interactions between a stabilizing controller that reacts quickly to perturbations and a reinforcement learner that gradually improves the controller’s performance through local exploration and memory. …”
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The professor of the future: Perspectives of university faculty implementing Universal Design for Learning by Amy Accardo, Brie Morettini, Hind Alharbi, Kristen Prentice

“…Despite the barriers to learning faced during the COVID-19 pandemic, there also arose the recognition by some U.S. faculty and staff that expanded college access provided as necessity, such as the use of educational technology and hybrid learning, supported access for a new and expanded population of students. …”
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Digital learning initiatives forging inclusive education in post-conflict nations by Siddiqullah Barikzai, Vijayakumar Bharathi S, Arif Perdana

“…Digital learning in Afghan HEIs currently falls short of stakeholder expectations and requirements. …”
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Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography by Koji Tamai, Keiho Imanishi, Masaki Terakawa, Masato Uematsu, Minori Kato, Hiromitsu Toyoda, Akinobu Suzuki, Shinji Takahashi, Akito Yabu, Yuta Sawada, Masayoshi Iwamae, Yuto Kobayashi, Yuki Okamura, Hiroshi Taniwaki, Yuki Kinoshita, Masatoshi Hoshino, Hitoshi Tabuchi, Hiroaki Nakamura, Hidetomi Terai

“…Abstract Due to symptomatic gait imbalance and a high incidence of falls, patients with cervical disease—including degenerative cervical myelopathy—have a significantly increased risk of fragility fractures. …”
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Irregular Openings Identification at Construction Sites Based on Few-Shot Learning by Minjo Seo, Hyunsoo Kim

“…The construction industry frequently encounters safety hazards, with falls related to undetected openings being a major cause of fatalities. …”
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Action Recognition in Videos through a Transfer-Learning-Based Technique by Elizabeth López-Lozada, Humberto Sossa, Elsa Rubio-Espino, Jesús Yaljá Montiel-Pérez

“…In computer vision, human action recognition is a hot topic, popularized by the development of deep learning. Deep learning models typically accept video input without prior processing and train them to achieve recognition. …”
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Decoding the Spatiotemporal Complexities of the Permafrost Carbon Feedback With Multimodal Ensemble Learning by B. A. Gay, N. J. Pastick, J. D. Watts, A. H. Armstrong, K. R. Miner, C. E. Miller

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Learning confidence analysis: A case study in educational communication courses by Fitri Mutia Fajrin, Henry Praherdiono, Yerry Soepriyanto

“…Therefore, it may be inferred that the variable of student self-confidence falls within the category of being rather satisfactory. …”
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EFFECTS OF USING ENGLISH PODCASTS ON IDIOMS AND VOCABULARY LEARNING OF IRANIAN EFL LEARNERS by Golyas Akhavan Tabatabaee, Ehsan Rezvani

“…This study is an attempt to explore the potential effects of using podcasts on idiom and vocabulary learning of Iranian EFL upper and lower intermediate learners as well as their attitudes toward learning via podcasts. …”
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Evaluating the effectiveness of flipped learning in an upper-division undergraduate electrical engineering course by Bibek Kattel, Winn Elliott Hutchcraft, Elizabeth Norell

“…Additionally, student perceptions and their performance in various assessments are investigated for the Fall 2023 modified flipped classroom. Students’ feedback garnered at the end of the semester was combined with their grades to evaluate learning outcomes and perceptions of the flipped learning approach. …”
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Traffic Signal Control via Reinforcement Learning: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Charalampos Rafail Lazaridis, Elias Kosmatopoulos

“…As traffic networks become more dynamic and complex, traditional strategies such as fixed-time and actuated control increasingly fall short in addressing real-time variability. In response, adaptive signal control—powered predominantly by reinforcement learning—has emerged as a promising data-driven solution for optimizing signal operations in evolving traffic environments. …”
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Unleashing Predicting a Comparative Study of Machine Learning for Bankruptcy Risk Prediction by Yupeng Li, Ke Sun

“…Traditional methodologies often fall short of capturing the complexity of contemporary financial landscapes. …”
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The Open Guidebook Approach: Designs to Support Collaborative, Close-to-Practice Teacher Learning by Royce Kimmons, Bryant Jensen

“…Most materials intended to support professional learning fall short and do not leverage the benefits of modern technologies to address historic barriers at school, district, and broader systemic levels. …”
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Teaching practitioners in the MBKM program: Enhancing students' learning outcomes in the AMDAL course by Nur Efendi, Noly Shofiyah

“…Additionally, students’ learning interest (mean = 3.58) and motivation (mean = 3.84) also fall into the “good” category. …”
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Design optimization of university ideological and political education system based on deep learning by Shangle Ai, Huanhuan Ding

“…Abstract This study seeks to enhance the effectiveness and student engagement in university ideological and political education (IPE) by leveraging deep learning technology. Traditional IPE approaches often fall short in terms of flexibility and interactivity, resulting in diminished student participation. …”
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