Stepping Stones: Adopting a Fading Programme Design to Promote Teachers’ Use of Metacognitive Strategies for Mathematical Problem Solving by Kirstin Mulholland, William Gray, Christopher Counihan, David Nichol

“…This article, therefore, examines the potential value of an innovative fading professional development programme—“Stepping Stones”—in enhancing teachers’ understanding and use of metacognitive strategies for mathematical problem solving. …”
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Development and Initial Validation Steps of a Standardized Video Test Assessing Professional Vision of Classroom Management and Instructional Support by Jasmin Lilian Bauersfeld, Patricia Bourcevet, Heike Hahn, Bernadette Gold

“…In conclusion, the findings mark an important first step in developing an instrument that captures classrooms’ complexity by simultaneously measuring PV of multiple foci of teaching quality using the identical classroom video.…”
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Learning Feature Fusion in Deep Learning-Based Object Detector by Ehtesham Hassan, Yasser Khalil, Imtiaz Ahmad

“…Experimental evaluation on PASCAL-VOC and MS-COCO datasets achieved the detection rate increase of 11.4% and 1.9% on the mAP scale in comparison with the YOLO version-3 detector (Redmon and Farhadi 2018). An important step in the proposed learning-based feature fusion strategy is to correctly identify the layer feeding in new features. …”
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Ethical Issues in Building and Maintaining Coalitions: A 10-Step Decision-Making Model for Choosing between Right and Right by Martie Gillen, Carolyn S. Wilken, Katey Walker

“…Sometimes coalitions may face difficult ethical dilemmas, and it helps for all members of the coalition to be aware of these issues. Learn about the 10-Step Decision-Making Model to use when making ethical decisions. …”
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Ethical Issues in Building and Maintaining Coalitions: A 10-Step Decision-Making Model for Choosing between Right and Right by Martie Gillen, Carolyn S. Wilken, Katey Walker

“…Sometimes coalitions may face difficult ethical dilemmas, and it helps for all members of the coalition to be aware of these issues. Learn about the 10-Step Decision-Making Model to use when making ethical decisions. …”
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Enhancing self-care and access – The Dutch stepped care model to strategically organize public sexual health for young people by Filippo Zimbile, Silke David, Elmari Briedenhann, Lisette Schutte, Rik Crutzen

“…It is explained how young people can gain easy access to increasingly specific and specialist services at the higher steps of the model via the online central portal with general information as a first step. …”
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Learning Analytics: A Data Mining and Machine Learning Perspective by Salam Ullah Khan, Kifayat Ullah, Mahvash Arsalan Lodhi, Sadaqat Ali Khan Bangash

“…The process is more unbiased and balanced by systematic sequence of steps. This paper presents a systematic literature review by first developing the systematic literature review protocol and then discussing the main findings of the literature review by especially focusing on the applications and uses of machine learning and data mining techniques in the domain of learning analytics.   …”
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STEM-BASED BIOLOGY LEARNING AND ITS IMPACT ON STUDENTS LEARNING OUTCOMES by Santi Hardiani

“…In this context, the application of Science, Technology, Engineering and Mathematics (STEM)-based learning models is a strategic step to improve learning outcomes. …”
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Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms by Farida Ardiani, Rodhiyah Mardhiyyah, Izaaz Azaam Syahalam, Nasmah Nur Amiroh

“…Data collection is carried out as an initial step in data processing, based on the final results of student learning, in certain courses taken every semester starting in 2017-2022. …”
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A learning experience design framework for multimodal learning in the early childhood by Valeria Aloizou, Andri Ioannou, Michael Boloudakis, Symeon Retalis

“…This work is a step forward in addressing a need for LX designs that can facilitate seamless multimodal learning in early childhood.…”
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Predicting ROS1 and ALK fusions in NSCLC from H&E slides with a two-step vision transformer approach by Eghbal Amidi, Mohammadreza Ramzanpour, Ming Chen, Tommy Boucher, Mukund Varma, Timothy Samec, Brian Lamon, Nicolas Stransky, Mark R. Miglarese, Matthew Oberley, David Spetzler, George W. Sledge

“…Due to the limited positive sample size for ROS1, a two-step specialized training procedure was implemented to enhance prediction performance during cross-validation. …”
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Community engagement in early childhood development intervention trials: lessons learnt from a stepping stones program in rural India by Zahiruddin Quazi Syed, Shital Telrandhe, Penny A. Holding, Swati Dudhkohale, Manoj Patil, Roshan Umate, Mahalaqua Nazli Khatib, Shilpa Gaidhane, Sonali G. Choudhari, Deepak Saxena, Abhay Gaidhane

“…A Monitoring, Evaluation, and Learning framework supported real-time adaptations. …”
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PrEP your step: Implementing an online crowdsourcing contest to engage young people in HIV prevention in Washington DC, USA. by Tamara Taggart, Allison Mathews, Toni Junious, Joseph A Lindsey, Andrea Augustine, Charles Debnam, Yavonne Boyd, Seraiya Wright, Joseph D Tucker, Manya Magnus

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Micro-learning and Mindtools in Mobile-Learning (M-Learning): effects on knowledge and self-efficacy in laparoscopy education for surgical nursing students by Fatemeh Akbari HajiAbad, Fatemeh Keshmiri, Fatemeh Jabinian, Seyed Mostafa Shiryazdi

“…This educational program aimed to develop learners’ ability to recognize laparoscopic surgical tools and diagnose appropriate tools in laparoscopic surgery steps using scrub and circular techniques. The students in the intervention group used M-Learning during workplace-based learning in the surgical laparoscopy unit. …”
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Facebook Social Learning Group (FBSLG) as a Classroom Learning Management Tool by Jomar M. Urbano

“…This study focuses on the step-to-step procedure in creating Facebook Social Learning Group (FBSLG) and the perception of students on using FBSLG as learning management tool. …”
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Reservoir-based flood forecasting and warning: deep learning versus machine learning by Sooyeon Yi, Jaeeung Yi

“…Approaches include two non-deep learning (NDL) (random forest (RF), support vector regression (SVR)) and two deep learning (DL) (long short-term memory (LSTM), gated recurrent unit (GRU)). …”
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Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning by Ce Feng, Parv Venkitasubramaniam

“…The increasing adoption of machine learning at the edge (ML-at-the-edge) and federated learning (FL) presents a dual challenge: ensuring data privacy as well as addressing resource constraints such as limited computational power, memory, and communication bandwidth. …”
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PointNet++ (MSG-DSLS): A Classification Framework With Dynamic Step-Size Loop-Sampling for High-Density Tree Point Clouds by Zhen Liu, Ying Quan, Bin Wang, Jianyang Liu, Mingze Li

“…Therefore, PointNet++ (MSG-dynamic step-size loop sampling, MSG-DSLS) is proposed, and experiments are conducted on datasets from three different regions. …”
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Implementation of Collaborative-Based Learning Models in Improving the Quality of Learning Fiqh Lessons by Muhammad Azhari, Herman Herman, Rahimi Rahimi, Rahmat Saputra

“… The purpose of this research is to find out how the steps of implementing a collaborative-based learning model in improving the quality of learning fiqh lessons. …”
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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

“…Purpose: This study aims to evaluate the performance of various machine learning and ensemble learning models in classifying delivery times using Amazon delivery data. …”
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