Relevant bibliographies by topics / Context-based learning activity model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Context-based learning activity model'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Context-based learning activity model"

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Yun, Hange, Qiaoping Zhang, Yiru Chen, and Wing Nam Chau. "Incorporating Mathematics into STEAM Project-based Learning Activity: A Pedagogical Model." Korean Society of Educational Studies in Mathematics - Journal of Educational Research in Mathematics 34, no. 4 (2024): 889–910. https://doi.org/10.29275/jerm.2024.34.4.889.

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Kulkarni, Smita S., and Sangeeta Jadhav. "Machine Learning Model for Group Activity Recognition Based on Discriminative Interaction Contextual Relationship." Mathematical Problems in Engineering 2021 (August 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/5596312.

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This paper represents the recognition of group activity in public areas, considering personal actions and interactions between people from the field of computer vision. Modeling the interaction relationships between multiple people is essential for recognizing group activity in the video scene. In artificial intelligence applications, identifying group activities based on human interaction is often a challenging task. This paper proposed a model that formulates a group action context (GAC) descriptor. The descriptor was developed by integrating the focal person action descriptor and interactio
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Yuan, Hangjie, and Dong Ni. "Learning Visual Context for Group Activity Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (2021): 3261–69. http://dx.doi.org/10.1609/aaai.v35i4.16437.

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Group activity recognition aims to recognize an overall activity in a multi-person scene. Previous methods strive to reason on individual features. However, they under-explore the person-specific contextual information, which is significant and informative in computer vision tasks. In this paper, we propose a new reasoning paradigm to incorporate global contextual information. Specifically, we propose two modules to bridge the gap between group activity and visual context. The first is Transformer based Context Encoding (TCE) module, which enhances individual representation by encoding global
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Runnel, Maria Isabel, Margus Pedaste, and Äli Leijen. "MODEL FOR GUIDING REFLECTION IN THE CONTEXT OF INQUIRY-BASED SCIENCE EDUCATION." Journal of Baltic Science Education 12, no. 1 (2013): 107–18. http://dx.doi.org/10.33225/jbse/13.12.107.

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Only a limited number of studies have focused on guiding students’ reflection in the context of inquiry learning in science education. In this study, a review of literature about reflection, reflection skills, and reflection levels was conducted in order to develop a new model for guided reflection in the context of science education using the advantages of technology-enhanced learning. The outcomes of the literature review suggest that in the context of science education reflection should be seen as a metacognitive activity that supports the integration of theory and one’s own experiences to
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Endang, Prasetyo, Pekik Irianto Djoko, and Nasrulloh Ahmad. "Problem-Based Learning: As an Effort to Improve Volleyball Activity & Learning Outcomes." International Journal of Multidisciplinary Research and Analysis 05, no. 03 (2022): 709–19. https://doi.org/10.5281/zenodo.6383687.

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This study aims to improve learning activity and learning outcomes through a problem-based learning (PBL) learning model approach. This research is a Classroom Action Research (CAR) which was carried out in three cycles. The research subjects were students of class VIID SMP Negeri 2 Mlati totaling 32 students. The research instruments, namely: observation guidelines, learning activity observation sheets, observation sheets for assessing the process and results of volleyball. Indicators of success, namely active learning and learning outcomes of at least 85% of the total students completed (KKM
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Desak, Putu Kartiwi. "UPAYA MENINGKATKAN AKTIVITAS DAN PRESTASI BELAJAR MELALUI PENERAPAN MODEL PROBLEM BASED LEARNING PADA SISWA KELAS XI MIPA 8 SMA NEGERI 7 DENPASAR TAHUN PELAJARAN 2020/2021." WIDYADARI 22, no. 1 (2021): 371–81. https://doi.org/10.5281/zenodo.4661880.

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<em>The purpose of this study was to determine the increase in activity, learning achievement, and student responses of class XI MIPA 8 to the application of problem-based learning models in mathematics learning. This type of research is a classroom action research conducted online via Zoom and Google Classroom. The research subjects were all students of class XI MIPA 8 at SMA Negeri 7 Denpasar in the academic year 2020/2021 even semester, totaling 40 people. This study uses two cycles to improve students&#39; mathematics learning outcomes through four stages of the activity process which incl
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Santoso, Nurhadi, and Nugroho Puji Santoso. "Case study: problem-based learning model for soccer basic movement skills and learning activity." Retos 61 (October 4, 2024): 578–82. http://dx.doi.org/10.47197/retos.v61.109754.

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Background: The education curriculum is developed to prepare students to gain comprehensive experiences and life skills. Learning effectiveness, especially in physical education, depends on the teacher's ability to choose the right learning strategies, models and methods. However, problems often faced in the learning process include lack of student attention, teacher dominance in the learning process, and passive learning tendencies. The Problem-Based Learning (PBL) learning model emerged as a potential approach to address these issues and improve the quality of learning. Study Objectives: Thi
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Pursitasari, I. D., E. Suhardi, A. P. Putra, and I. Rachman. "Enhancement of Student’s Critical Thinking Skill through Science Context-based Inquiry Learning." Jurnal Pendidikan IPA Indonesia 9, no. 1 (2020): 97–105. http://dx.doi.org/10.15294/jpii.v9i1.21884.

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This study aims to enhance critical thinking skill through science context-based inquiry learning (SCOIL). This study is a quasi-experimental research with pretest and posttest control group design. The SCOIL was carried out in seventh-grade junior high school in Bogor with 56 students consisted of 24 boys and 36 girls. Data were collected by giving out critical thinking skill tests, observing the teaching and learning process, and students’ activities. Those data were analyzed descriptively and inferentially. Syntax of SCOIL was namely observation, investigation, representation, conclusions,
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Nurasyah, Dewi Napitupulu. "The urgency of the multi-model approach in learning environmental physics to achieve learning goals." World Journal of Advanced Research and Reviews 13, no. 3 (2022): 431–37. https://doi.org/10.5281/zenodo.6414073.

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Some learning models that can improve creative thinking skills are CPS (Creative Problem Solving), IBL (Inquiry-Based Learning), JUCAMA (Problem Submission and Solving), PBL (Problem Based Learning), SSCS (Search, Solve, Create, Share), Quantum Learning, PjBL (Project Based Learning) and PQ4R (Preview, Question, Read, Reflect, Recite, Review). However, the combination of IBL, PBL, and PjBL models in one teaching activity is essential to create exciting and dynamic learning conditions. These three models have a more structured learning syntax than the other models. The IBL learning model has ad
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Dong, Biao. "Research on Mobile Learning Based on a Feedback Model." Applied Mechanics and Materials 678 (October 2014): 653–56. http://dx.doi.org/10.4028/www.scientific.net/amm.678.653.

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This paper presents an approach for modeling the mobile learning applications using a feedback-based recommendation model. Formal definitions are proposed for the mobile learning activity. The design unites three of the mobile learning's aspects, namely learner, service and context, and provides means for learner service evaluation within the recommendation model. The results show that the recommendation model can easily be constructed, while enabling accurate recommendations by solving the sparsity problem of service and learner′s information.
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Dissertations / Theses on the topic "Context-based learning activity model"

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Makris, Dimitrios. "Learning an activity-based semantic scene model." Thesis, City University London, 2004. http://eprints.kingston.ac.uk/7781/.

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Georgette, Jeffrey Phillip. "Active Learning using Model-Eliciting Activities and Inquiry-Based Learning Activities in Dynamics." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1117.

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This thesis focuses on a year-long project of implementing active learning in undergraduate dynamics courses at Cal Poly San Luis Obispo from 2012-2013. The purpose is to increase conceptual understanding of critical dynamics concepts and to repair misconceptions of the students. Conceptual understanding in Dynamics is vital to understanding the big picture, building upon previous knowledge, and better understanding the behavior of engineering systems. Through various hands-on activities, students make predictions, test their conceptions, and solve real world problems. These active learning me
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ALI, HASHIM. "Subject-dependent physical activity recognition using single sensor accelerometer." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/75865.

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Rapid advancement in the field of Artificial Intelligence, to be more specific in Machine Learning and Nanotechnology, strengthens hopes to better understand human mind. Ubiquitous Computing helped in the creation of intelligent environments pervaded by these visible and invisible devices, which are affecting and improving all aspects of human life. So, as a consequence, smart environments work on the behalf of humans for ease of comfort. The ultimate goal is to monitor humans without any awareness by them of computer interaction. The understanding of how humans will interact and make use of s
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Sim, Patrick Puay-I. "A Sociocultural Investigation of Learning and Transition in SFEC." Thesis, Linköping University, Department of Behavioural Sciences and Learning, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-14905.

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<p><sup>With the advent of globalisation driving the People.s Republic of China to embrace its future, </sup><sup>the local government has shown great enthusiasm promulgating one of the oldest industries. </sup><sup>Foreign higher educational providers that operate in China through the mode of joint venture </sup><sup>cooperatives between a Chinese and foreign institution of higher learning are becoming </sup><sup>increasingly .knowledgeable-hungry. public or private universities and colleges. Such </sup><sup>operations commonly known as Sino-foreign educational cooperatives </sup></p><p><sup>
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Gilja, Vikash. "Learning and applying model-based visual context." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33139.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 53).<br>I believe that context's ability to reduce the ambiguity of an input signal makes it a vital constraint for understanding the real world. I specifically examine the role of context in vision and how a model-based approach can aid visual search and recognition. Through the implementation of a system capable of learning visual context models from an image database, I demonstrate the utility of the model-based approach. The system
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Bharti, Pratool. "Context-based Human Activity Recognition Using Multimodal Wearable Sensors." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/7000.

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In the past decade, Human Activity Recognition (HAR) has been an important part of the regular day to day life of many people. Activity recognition has wide applications in the field of health care, remote monitoring of elders, sports, biometric authentication, e-commerce and more. Each HAR application needs a unique approach to provide solutions driven by the context of the problem. In this dissertation, we are primarily discussing two application of HAR in different contexts. First, we design a novel approach for in-home, fine-grained activity rec
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Peker, Serhat. "A Novel User Activity Prediction Model For Context Aware Computing Systems." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613662/index.pdf.

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In the last decade, with the extensive use of mobile electronic and wireless communication devices, there is a growing need for context aware applications and many pervasive computing applications have become integral parts of our daily lives. Context aware recommender systems are one of the popular ones in this area. Such systems surround the users and integrate with the environment<br>hence, they are aware of the users&#039<br>context and use that information to deliver personalized recommendations about everyday tasks. In this manner, predicting user&rsquo<br>s next activity preferences wit
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Gönner, Lorenz, Julien Vitay, and Fred Hamker. "Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model." Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-230378.

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Hippocampal place-cell sequences observed during awake immobility often represent previous experience, suggesting a role in memory processes. However, recent reports of goals being overrepresented in sequential activity suggest a role in short-term planning, although a detailed understanding of the origins of hippocampal sequential activity and of its functional role is still lacking. In particular, it is unknown which mechanism could support efficient planning by generating place-cell sequences biased toward known goal locations, in an adaptive and constructive fashion. To address these quest
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Artchounin, Daniel. "Tuning of machine learning algorithms for automatic bug assignment." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.

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In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or total automation of this task would have a positive economic impact on many software projects. This thesis introduces a systematic four-step method to find some of the best configurations of several machine learning algorithms intending to solve the automatic bug assignment problem. These four steps are respectively used to select a combination of pre-processing techniques, a bug report representation, a potential feature selection tec
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Nuttall, Christopher. "A Self-Regulated Learning Inventory Based on a Six-Dimensional Model of SRL." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6581.

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This report discusses a study undertaken to develop, pilot, and tentatively validate a self- regulated learning (SRL) inventory for L2 contexts. This inventory was specifically designed to measure learners' ability to self-regulate their learning. Although there have been a few SRL inventories developed to measure this ability, they do not conform to the six-dimensional SRL model proposed by educational psychologists and backed by extensive research. This warranted the development of a new SRL inventory. The primary focus of this study was that of taking initial steps to develop such an invent
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Books on the topic "Context-based learning activity model"

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Jaworski, Barbara, Josef Rebenda, Reinhard Hochmuth, et al. Inquiry in University Mathematics Teaching and Learning. Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.m210-9983-2021.

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The book presents developmental outcomes from an EU Erasmus+ project involving eight partner universities in seven countries in Europe. Its focus is the development of mathematics teaching and learning at university level to enhance the learning of mathematics by university students. Its theoretical focus is inquiry-based teaching and learning. It bases all activity on a three-layer model of inquiry: (1) Inquiry in mathematics and in the learning of mathematics in lecture, tutorial, seminar or workshop, involving students and teachers; (2) Inquiry in mathematics teaching involving teachers exp
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Sally, Glen, and Wilkie Kay, eds. Problem-based learning in nursing: A new model for a new context? Macmillan, 2000.

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Richard, Mario. E-learning in the Franco-Ontarian context: Proposed instructional engineering model based on research on effective teaching. Centre franco-ontarien de ressources pédagogiques, 2005.

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Kruglikov, Viktor. The game is a non-educational game (experience, analysis, reflections of a game technician teacher). INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2079775.

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Based on the analysis of many years of experience in the development and application of didactic games in order to teach all categories of students from schoolchildren and students to university faculty, the monograph attempts to revise established, controversial and contradictory views on the phenomenon of the game. The author's vision of how to answer such long-standing questions is proposed: what is a game and a non-game, how the game happened, what characteristics it has. The concept of behavioral games is introduced. The signs and driving forces of traditional and behavioral games are ana
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Levinson, Meira, Tatiana Geron, Sara O’Brien, and Ellis Reid, eds. Educational Equity in a Global Context. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350399648.

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How do we reconcile individual student needs with the demands of school, district, and national education programs? What are school-based professionals to do in situations where it is impossible to prioritize all students equally?A pair of new parents in Hong Kong deliberate which schooling model best fulfils the hopes and dreams they have for their children. An administrator in Germany deliberates whether to accept funding for a hybrid learning program as her staff and students share their conflicting experiences of online learning. From national policy to personal choices, each of these ethi
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Dishman, Rod K., Gregory W. Heath, Michael D. Schmidt, and I.-Min Lee. Physical Activity Epidemiology. 3rd ed. Human Kinetics, 2022. https://doi.org/10.5040/9781718243811.

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Promoting Health and Academic Success was the first book to cover the Whole School, Whole Community, Whole Child (WSCC) model, now a widely accepted framework for promoting health and learning in schools. With increasing evidence that health and academic success go hand in hand, this second edition delves deeper into the WSCC approach to showcase best practices that truly put the child at the center of health and education. Promoting Health and Academic Success, Second Edition With HKPropel Access, boasts a team of editors and contributors who have experience as leaders in school health and WS
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Department of Defense. New School for Brats: Improving the K-12 Education of Military-Connected Children - Implementation of Competency-Based Personalized Learning Model with Expanded Network of DoD Education Activity. Independently Published, 2018.

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Wilkie, Kay, and Sally Glen. Problem-Based Learning in Nursing: A New Model for a New Context. Palgrave Macmillan, 2000.

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Alperin, Holly, and Sarah Benes. Lesson Planning for Skills-Based Health Education. Human Kinetics, 2021. http://dx.doi.org/10.5040/9781718215535.

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Lesson Planning for Skills-Based Elementary Health Education is a highly practical resource for elementary health educators or general classroom teachers looking for innovative, tried-and-true ways to implement health education. The text offers effective skills-based learning activities, lessons, units, and assessments for your classroom that you can use as they are or with modifications to meet the needs of your students. You can use this text to build a completely new curriculum or to supplement your existing curriculum, providing a smooth transition from a content-based approach to a skills
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College of William & Mary. Animal Populations: A Study of Physical, Conceptual, and Mathematical Models. Kendall Hunt Pub Co, 2007.

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Book chapters on the topic "Context-based learning activity model"

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Zhang, Han. "Radar-Based Activity Recognition with Deep Learning Model." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8052-6_42.

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Man, Haifeng, Hong Chen, Jian Chen, Xiaokang Zhou, Yan Wu, and Qun Jin. "Enabling Open Learning Process with Learning Activity Streams: Model, Metaphor and Specification." In Advances in Web-Based Learning - ICWL 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25813-8_25.

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Derntl, Michael. "Understanding and Facilitating Student Bloggers: Towards a Blogging Activity Model." In Advances in Web Based Learning – ICWL 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03426-8_18.

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Kumar, Mohit, Khundrakpam Johnson Singh, Kamal Kumar Gola, and Vinay Saroya. "Human Activity Recognition based on Hybrid Deep Learning Model." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78931-1_7.

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Watanabe, Kentaro, and Takuichi Nishimura. "Interpersonal Service Support Based on Employee’s Activity Model." In Human Interface and the Management of Information. Information and Interaction for Learning, Culture, Collaboration and Business,. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39226-9_44.

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Elkelany, Amany, Robert Ross, and Susan Mckeever. "WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_10.

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AbstractRecently, significant efforts have been made to explore human activity recognition (HAR) techniques that use information gathered by existing indoor wireless infrastructures through WiFi signals without demanding the monitored subject to carry a dedicated device. The key intuition is that different activities introduce different multi-paths in WiFi signals and generate different patterns in the time series of channel state information (CSI). In this paper, we propose and evaluate a full pipeline for a CSI-based human activity recognition framework for 12 activities in three different s
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Hean, Sarah, Marie Aakjær, Laure Kloetzer, et al. "A COLAB Model of Workplace Transformation in the Criminal Justice Context." In Improving Interagency Collaboration, Innovation and Learning in Criminal Justice Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70661-6_8.

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AbstractThis chapter presents the COLAB model for promoting organisational learning and innovation with potential application in criminal justice-related organisations. We describe this model as a toolkit that built on the Change Laboratory model of workplace transformation but one augmented with the beneficial components of Activity Clinics, Boundary Crossing Workshops and Codesign methods and developed within the criminal justice context. Limitations and future directions for the model are discussed.
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Agti, Nadia, Lyazid Sabri, Okba Kazar, and Abdelghani Chibani. "A Novel Deep Learning Model for Smartphone-Based Human Activity Recognition." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63992-0_15.

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Ciccone, Elodie, Lucie Cuvelier, Anne Bationo-Tillon, Thomas Baugnon, and Françoise Decortis. "On Care and the Sensitive Experience of Caregiver Activity in Simulation Situations: A Possible Model for Encounters Between Health Practitioners and Their Patients to Enhance Communication Training." In Professional and Practice-based Learning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89567-9_13.

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Chikhaoui, Belkacem, Frank Gouineau, and Martin Sotir. "A CNN Based Transfer Learning Model for Automatic Activity Recognition from Accelerometer Sensors." In Machine Learning and Data Mining in Pattern Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96133-0_23.

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Conference papers on the topic "Context-based learning activity model"

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Raveen, Raveen, Syed Zoofa Rufai, Inam Ul Haq, and Hilal Ahmad Shah. "Deep - learning based Human Activity Detection Model." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993627.

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Zakharov, Alexander, Elena Khivintseva, Nadezhda Gilmanova, Daniil Kozlov, Igor Shirolapov, and Nataliya Romanchuk. "Developing a Model for Predicting Multiple Sclerosis Activity Based On Machine Learning." In 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN). IEEE, 2024. http://dx.doi.org/10.1109/cnn63506.2024.10705831.

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Jiang, Xin, Bin Li, Yirui Du, Daosen Zhai, and Ruonan Zhang. "Location-Free CSI-Based Lightweight Deeping Learning Model for Human Activity Recognition." In 2024 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT). IEEE, 2024. https://doi.org/10.1109/ccpqt64497.2024.00050.

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Medina, Edgar Ivan Sanchez, Ann-Joelle Minor, and Kai Sundmacher. "Systematic comparison between Graph Neural Networks and UNIFAC-IL for solvent pre-selection in liquid-liquid extraction." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132577.

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Solvent selection is a critical decision-making process that balances economic, environmental, and societal factors. The vast chemical space makes evaluating all potential solvents impractical, necessitating pre-selection strategies to identify promising candidates. Predictive thermodynamic models, such as the UNIFAC model, are commonly used for this purpose. Recent advancements in deep learning have led to models like the Gibbs-Helmholtz Graph Neural Network (GH-GNN), which overall offers higher accuracy in predicting infinite dilution activity coefficients over a broader chemical space than
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Nishikawa, Keishi, and Jun Ohya. "A Group Activity Based Method for Early Recognition of Surgical Processes Using the Camera Observing Surgeries in an Operating Room and Spatio-Temporal Graph Based Deep Learning Model." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013252700003905.

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Newton-Young, Daniel, Mark White, and Neale Watson. "Ship Helicopter Operations: A Machine Learning Approach for Workload Prediction Using Linear Discriminant Analysis." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-177.

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This paper demonstrates the training, optimisation, and predictive capabilities of Machine Learning (ML) for helicopter-ship certification. The work focuses on the development of a Linear Discriminant Analysis (LDA) model, trained specifically on pilot control activity data recorded during the hover phase of a recovery to a ship, to determine an operational boundary driven by pilot workload. The certification process currently relies heavily on embarked trials and the subjective workload assessment of test pilots. Modelling and Simulation (M&amp;S), however, offers a potentially more efficient
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Wahyuningtyas, Riska Septia, and Marina Silalahi. "Daily activity based learning model on new normal era digital learning." In THE 3RD INTERNATIONAL CONFERENCE ON NATURAL SCIENCES, MATHEMATICS, APPLICATIONS, RESEARCH, AND TECHNOLOGY (ICON-SMART2022): Mathematical Physics and Biotechnology for Education, Energy Efficiency, and Marine Industries. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0211677.

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Salehi, Parsa, Sook-Ling Chua, and Lee Kien Foo. "Annotating Activity Data with Transformer-based Deep Learning Model." In IMMS 2024: 2024 the 7th International Conference on Information Management and Management Science. ACM, 2024. http://dx.doi.org/10.1145/3695652.3695661.

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Zhao, Yijei, and Benoit Champagne. "An Efficient Transformer-Based Model for Voice Activity Detection." In 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2022. http://dx.doi.org/10.1109/mlsp55214.2022.9943501.

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Beggari, Nadia. "DESIGNING A MODEL OF ASSISTANCE BASED WEB SERVICES IN INTERACTIVE LEARNING ENVIRONMENT." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-099.

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This work takes place in the framework of the realization of a pedagogical assistance system in the domain of technology enhanced learning (TEL) .In this context, we defend the thesis that it is possible to integrate an interface with a pedagogical agent in an ILE (interactive learning environment) based on web service, which aims to provide pedagogical assistance adapted to the learner. our approach is based on the analysis of the course of the learner , the system allows to represent , assist and analyze the evolution of a learning situation in order to detect the assistance status (blocking
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Reports on the topic "Context-based learning activity model"

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Bhurtyal, Sanjeev, Hieu Bui, Sarah Hernandez, et al. Prediction of waterborne freight activity with Automatic Identification System using machine learning. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49794.

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This paper addresses latency issues related to publicly available port-level commodity tonnage reports. Predicting commodity tonnage at the port-level, near real time vessel tracking data is used with historical WCS with a machine learning model. Commodity throughput is derived from WCS data which is released publicly approximately two years after collection. This latency presents a challenge for short-term planning and other operational uses. This study leverages near real time vessel tracking data from the AIS data set. LSTM, TCN, and TFT machine learning models are developed using the featu
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Tkachuk, Viktoriia V., Vadym P. Shchokin, and Vitaliy V. Tron. The Model of Use of Mobile Information and Communication Technologies in Learning Computer Sciences to Future Professionals in Engineering Pedagogy. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2668.

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Research goal: the research is aimed at developing a model of use of mobile ICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Object of research is the model of use of mobile ICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Results of the research: the developed model of use of mobile ICT as tools of learning Computer Sciences to future professionals in Engineering Pedagogy is based on the competency-based, person-centered and systemic approaches considering principles of vocational education, general didactic principles, princ
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Methodology of teaching cloud technologies to future computer science teachers. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3891.

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The article deals with the problem of training future computer science teachers for the use of cloud technologies. The authors analyzed courses from leading universities to study cloud technologies. On this basis the model of application and studying of cloud technologies in the process of training of future teachers of informatics was developed. The basic principles of this model are proposed: systematic, gradual, continuous. It contains target, content, operating and effective component. Therefore, the stages of using cloud computing technology were proposed: as a means of organizing learnin
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Roldán-Ferrín, Felipe, and Julián A. Parra-Polania. ENHANCING INFLATION NOWCASTING WITH ONLINE SEARCH DATA: A RANDOM FOREST APPLICATION FOR COLOMBIA. Banco de la República, 2025. https://doi.org/10.32468/be.1318.

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This paper evaluates the predictive capacity of a machine learning model based on Random Forests (RF), combined with Google Trends (GT) data, for nowcasting monthly inflation in Colombia. The proposed RF-GT model is trained using historical inflation data, macroeconomic indicators, and internet search activity. After optimizing the model’s hyperparameters through time series cross-validation, we assess its out-of-sample performance over the period 2023–2024. The results are benchmarked against traditional approaches, including SARIMA, Ridge, and Lasso regressions, as well as professional forec
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concep
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Acosta López, Juan Carlos. Unveiling hidden opportunities: a case study on the perception of affordances in informal english learning activities mediated by technology in a fl teacher-training program. Sello Editorial UNAD, 2023. http://dx.doi.org/10.22490/ecedu.8389.

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This qualitative single-case study explored the perceived affordances of informal activity systems mediated by online technologies for promoting English language learning among 115 FL teachers-in-training at UNAD. The study employed a word-based questionnaire administered to the entire sample, followed by small focus group interviews with 20 purposively selected participants, (Morgan &amp; Hoffman, 2018). The resulting data were analyzed using a dynamic and fluid 2-cycle coding procedure. The findings show that learners’ ability to per-ceive and engage with technological, social, metacognitive
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Papaioannou, Dimitrios, and Elisabeth Windisch. Open configuration options Decarbonising Transport in Latin American Cities: Assessing Scenarios. Edited by Laureen Montes Calero and Ernesto Monter. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0003976.

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This report is the second output of the Decarbonising Transport in Latin American Cities project (DTLA), developed jointly by the Inter-American Development Bank (IDB) and the International Transport Forum (ITF-OECD). DTLA supports transport decarbonisation in Bogota (Colombia), Buenos Aires (Argentina), and Mexico City (Mexico). These cities were selected based on their data availability about urban transport activity. As a result of this initiative, the first report describes a review of policies and key mobility challenges to deliver on a sustainable transport system. This second report pre
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Fukui, Tani, and Csilla Lakatos. A Global Database of Foreign Affiliate Sales. GTAP Research Memoranda, 2012. http://dx.doi.org/10.21642/gtap.rm24.

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There is a severe lack of data describing foreign affiliate activity. To fill this gap, we produce a new dataset to further the literature on the behavior of multinational firms. Eurostat’s Foreign Affiliate Statistics database, with a large number of sector-level, bilateral observations on foreign affiliate sales, provides a basis from which to extrapolate the relationship between various host and source country factors and the foreign affiliate activity produced by them. This paper exploits the detailed level of the data by introducing sector-specific variables that in turn permit out of sam
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Kourkoutas, Konstantinos, Begonya Saez, Veronica Junjan, et al. ECIU Position Paper on Living Labs and Experimentation Spaces: Recommendations and insights about the potential of Living Labs as innovation and learning platforms in the ECIU University. University of Stavanger, 2024. http://dx.doi.org/10.31265/usps.276.

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To accelerate transformations towards just and sustainable future cities across Europe, local and regional projects need to scale up and share sustainability pathways and planning efforts. In this context, Living Labs, and innovation and experimentation spaces in general, have demonstrated great potential in serving as platforms for connecting universities with societal stakeholder, facilitating transdisciplinary collaboration in the innovation process but also as tools for cross-case learning and upscaling innovative solutions. At the same time there is an ever increasing emergence and divers
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Thomson, Sue, Nicole Wernert, Sima Rodrigues, and Elizabeth O'Grady. TIMSS 2019 Australia. Volume I: Student performance. Australian Council for Educational Research, 2020. http://dx.doi.org/10.37517/978-1-74286-614-7.

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The Trends in International Mathematics and Science Study (TIMSS) is an international comparative study of student achievement directed by the International Association for the Evaluation of Educational Achievement (IEA). TIMSS was first conducted in 1995 and the assessment conducted in 2019 formed the seventh cycle, providing 24 years of trends in mathematics and science achievement at Year 4 and Year 8. In Australia, TIMSS is managed by the Australian Council for Educational Research (ACER) and is jointly funded by the Australian Government and the state and territory governments. The goal o
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