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Journal articles on the topic 'Collaborative Output Tasks'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

이연화. "Teaching/Learning English Phrasal Verbs Through Collaborative Output Tasks." Journal of Foreign Studies ll, no. 39 (2017): 121–46. http://dx.doi.org/10.15755/jfs.2017..39.121.

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Maglio, Sam J., Odelia Wong, Cristina D. Rabaglia, et al. "Perceptions of Collaborations: How Many Cooks Seem to Spoil the Broth?" Social Psychological and Personality Science 11, no. 2 (2019): 236–43. http://dx.doi.org/10.1177/1948550619849108.

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Workers often work in groups of varying sizes, and those workers’ work is often judged by others. To examine how the two might relate, we first asked respondents to report the optimal number of collaborators for a variety of different tasks, finding substantial variability across tasks (Supplementary Study) that tracked with perceived task complexity (Study 1). Accordingly, framing a given task as more complex made people want more collaborators collaborating on it (Study 2), and believing that a task had been performed by the right number of collaborators—neither too few nor too many—fostered

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Fortune, Alan. "Learners’ Use of Metalanguage in Collaborative Form-focused L2 Output Tasks." Language Awareness 14, no. 1 (2005): 21–38. http://dx.doi.org/10.1080/09658410508668818.

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Gong, Xuan, Shanglin Li, Yuxiang Bao, et al. "Federated Learning via Input-Output Collaborative Distillation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 20 (2024): 22058–66. http://dx.doi.org/10.1609/aaai.v38i20.30209.

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Federated learning (FL) is a machine learning paradigm in which distributed local nodes collaboratively train a central model without sharing individually held private data. Existing FL methods either iteratively share local model parameters or deploy co-distillation. However, the former is highly susceptible to private data leakage, and the latter design relies on the prerequisites of task-relevant real data. Instead, we propose a data-free FL framework based on local-to-central collaborative distillation with direct input and output space exploitation. Our design eliminates any requirement o

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Benati, Alessandro. "The role of input and output tasks in grammar instruction: Theoretical, empirical and pedagogical considerations." Studies in Second Language Learning and Teaching 7, no. 3 (2017): 377–96. http://dx.doi.org/10.14746/ssllt.2017.7.3.2.

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In this paper, a review of the role of input, output and instruction in second language acquisition is provided. Several pedagogical interventions in grammar instruction (e.g., processing instruction, input enhancement, structured output and collaborative output tasks) are presented and their effectiveness reviewed. A final and overall evaluation is provided at the end of the paper.

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Shirin, Abadikhah, and Harsini Behdad. "Comparing the Effects of Collaborative and Individual Output Tasks on the Acquisition of English Articles." International Journal of English Language and Translation Studies 02, no. 03 (2014): 23–34. https://doi.org/10.5281/zenodo.15950.

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The use of pair and small group work has been supported within the interactionist and sociocultural theories of learning. It is assumed that collaboration would lead to second language acquisition. Inspired by these theoretical claims, the present study investigates the effects of two output tasks on the acquisition of English articles. Thirty-one EFL learners, divided into two groups of pairs and individuals, participated in this study. All participants were administered a pretest and a post-test and completed two output tasks (cloze and text-editing) during four sessions. The results were in

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Nassaji, Hossein, and Jun Tian. "Collaborative and individual output tasks and their effects on learning English phrasal verbs." Language Teaching Research 14, no. 4 (2010): 397–419. http://dx.doi.org/10.1177/1362168810375364.

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Storch, Neomy. "Collaborative writing." Language Teaching 52, no. 1 (2018): 40–59. http://dx.doi.org/10.1017/s0261444818000320.

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Writing has generally been perceived as a solitary activity, completed by the writer working alone. Yet, over the years we have witnessed a growing interest among researchers and educators inCollaborative Writing, an activity that can be simply defined as the involvement of two or more writers in the production of a single text. This interest has been driven by two main factors. The first factor is the nature of workplace writing. Studies (e.g. Ede & Lunsford 1990; Mirel & Spilka 2002) have shown that in a number of workplaces, writing is often completed in teams rather than individual

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Ekolle, Zie Eya, and Ryuji Kohno. "GenCo: A Generative Learning Model for Heterogeneous Text Classification Based on Collaborative Partial Classifications." Applied Sciences 13, no. 14 (2023): 8211. http://dx.doi.org/10.3390/app13148211.

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The use of generative learning models in natural language processing (NLP) has significantly contributed to the advancement of natural language applications, such as sentimental analysis, topic modeling, text classification, chatbots, and spam filtering. With a large amount of text generated each day from different sources, such as web-pages, blogs, emails, social media, and articles, one of the most common tasks in NLP is the classification of a text corpus. This is important in many institutions for planning, decision-making, and creating archives of their projects. Many algorithms exist to

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Liu, Yuting, Jinghao Zhang, Yizhou Dang, et al. "CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 12 (2025): 12246–54. https://doi.org/10.1609/aaai.v39i12.33334.

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Involving collaborative information in Large Language Models (LLMs) is a promising technique for adapting LLMs for recommendation. Existing methods achieve this by concatenating collaborative features with text tokens into a unified sequence input and then fine-tuning to align these features with LLM's input space. Although effective, in this work, we identify two limitations when adapting LLMs to recommendation tasks, which hinder the integration of general knowledge and collaborative information, resulting in sub-optimal recommendation performance. (1) Fine-tuning LLM with recommendation dat

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Sen, Rahul, Abhishek Lohar, Ajay Panwar, et al. "COBOT (COLLABORATIVE ROBOT) IN MANUFACTURING INDUSTRIES AND ASSEMBLY LINE." International Journal of Technical Research & Science 9, Spl (2024): 27–35. http://dx.doi.org/10.30780/specialissue-iset-2024/047.

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Collaborative robots, or cobots, are transforming the manufacturing industry in unprecedented ways. With their ability to work seamlessly alongside human workers, cobots are augmenting human labor and increasing productivity while reducing operational costs. One of the key advantages of cobots is their versatility. They can handle a wide range of tasks, from repetitive assembly to intricate precision work. This versatility is made possible by their seamless reprogramming capabilities, which enable them to adapt to dynamic production needs quickly and efficiently. In addition to their flexibili

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Jo, Hye-Kyoun, and Yoon-Kyoung Kim. "An exploratory study on different types of collaborative output tasks for college students’ English grammar learning." Secondary English Education 12, no. 3 (2019): 237–56. http://dx.doi.org/10.20487/kasee.12.3.201908.237.

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Wihardjo, Edy, Arif Fatahillah, Saddam Hussen, and Lioni Anka Monalisa. "Comparative Study of Text Editors for Scientific Paper Writing with Mathematical Notation." Journal of Digital Literacy and Volunteering 2, no. 2 (2024): 97–102. http://dx.doi.org/10.57119/litdig.v2i2.111.

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Writing scientific papers that include complex mathematical notation requires specialized text editors. This study provides a comprehensive review of various text editors, evaluating their effectiveness for tasks involving mathematical notation. The comparison includes freeware and paid software such as OpenOffice, LibreOffice, Microsoft Word, TeXmacs, and Overleaf, examining aspects like file formats, file size, installation process, learning curve, collaboration ease, and output formats. Through a detailed analysis of existing literature, the study highlights the strengths and weaknesses of

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Bahador, Hamid, Amir Zand-Moghadam, and Maryam Fanaie. "Gender, Scaffolding Mechanism and Output Complexity in Task-based Language Learning." International Journal of Applied Linguistics and English Literature 6, no. 1 (2016): 146. http://dx.doi.org/10.7575/aiac.ijalel.v.6n.1p.146.

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The purpose of this study was to investigate the role of gender in Iranian EFL learners’ output complexity and scaffolding mechanism as they were performing the tasks. The participants were 18 intermediate learners from both genders who were selected based on a proficiency test and an interview. They were placed into three groups based on their gender. They were also assigned into nine different collaborative pairs and were required to perform four tasks while being tape-recorded for 36 sessions. The audio-recorded dialogues were then transcribed and divided into AS-units. Ohta’s (2001) seven

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Hu, Qiong. "A cross-language short text classification model based on BERT and multilayer collaborative convolutional neural network (MCNN)." Molecular & Cellular Biomechanics 21, no. 3 (2024): 739. http://dx.doi.org/10.62617/mcb739.

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This study focuses on cross-lingual short text classification tasks and aims to combine the advantages of BERT and Multi-layer Collaborative Convolutional Neural Network (MCNN) to build an efficient classification model. BERT model provides rich semantic information for text classification with its powerful language understanding and bidirectional context modeling ability, while MCNN effectively extracts local and global features in text through multi-layer convolution structure and collaborative working mechanism. In this study, the output of BERT is used as the input of MCNN, and MCNN is use

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Gao, Cheng, Xilin Bian, Bo Hu, Shanzhi Chen, and Heng Wang. "Intelligent Online Offloading and Resource Allocation for HAP Drones and Satellite Collaborative Networks." Drones 8, no. 6 (2024): 245. http://dx.doi.org/10.3390/drones8060245.

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High-altitude platform (HAP) drones and satellites collaborate to form a network that provides edge computing services to terrestrial internet of things (IoT) devices, which is considered a promising method. In this network, IoT devices’ tasks can be split into multiple parts and processed by servers at non-terrestrial nodes in different locations, thereby reducing task processing delays. However, splitting tasks and allocating communication and computing resources are important challenges. In this paper, we investigate the task offloading and resource allocation problem in multi-HAP drones an

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Gargioni, Luigi, Daniela Fogli, and Pietro Baroni. "Exploring the Adoption of Collaborative Robots for the Preparation of Galenic Formulations." Information 16, no. 7 (2025): 559. https://doi.org/10.3390/info16070559.

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Galenic preparations are patient-centered medicines prepared by pharmacists or veterinarians, which allow personalizing dosages, overcoming allergy problems, reducing costs, and dealing with rare diseases. However, the current manual production process of galenic preparations poses several challenges to human workers. This paper proposes the use of collaborative robots to help pharmacists carry out the most tiresome, precise, error-prone, and time-consuming tasks. In particular, an end-user development (EUD) environment called PRAISE (pharmaceutical robotic and AI system for end users) has bee

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Peterson, Mark. "EFL learner collaborative interaction in Second Life." ReCALL 24, no. 1 (2012): 20–39. http://dx.doi.org/10.1017/s0958344011000279.

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AbstractThis paper reports on the task-based interaction of English as a Foreign Language (EFL) learners in the 3D multiuser virtual environment (MUVE) Second Life. The discussion first explores research on the precursors of MUVEs, text-based 2D virtual worlds known as MOOs. This is followed by an examination of studies on the use of MUVEs in Computer Assisted Language Learning (CALL). The discussion then focuses on an investigation of the Second Life-based text chat of learners located at a university in Japan. Data analysis reveals that the environment, and tasks, elicited types of collabora

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Wang, Qian. "EFL Incidental Vocabulary Acquisition and Retention : Effects of Different Collaborative Output Tasks on Field Independent/Dependent Learners." Journal of AsiaTEFL 16, no. 4 (2019): 1201–18. http://dx.doi.org/10.18823/asiatefl.2019.16.4.9.1201.

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Leslie, Carolyn Elizabeth. "Interaction patterns and support for learning in the primary foreign language classroom." Porta Linguarum Revista Interuniversitaria de Didáctica de las Lenguas Extranjeras, no. 36 (June 7, 2021): 65–82. http://dx.doi.org/10.30827/portalin.v0i36.15712.

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In this study, both sociocultural and cognitive perspectives are used to investigate how learners in the primary foreign language classroom support each other’s learning during peer oral interaction, and how this is influenced by different interaction patterns. Learners were recorded taking part in 3 spot-the-difference tasks in a year 4 primary class, and Storch’s model of interaction patterns (2002) was used as a framework to classify learner interaction. Transcripts were analysed qualitatively and quantitatively, and show how learners used a variety of strategies to support their partner’s

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Sun, Jian, Hongxin Lin, Wei Shi, Wei Xu, and Dongming Wang. "CF-mMIMO-Based Computational Offloading for UAV Swarms: System Design and Experimental Results." Electronics 14, no. 13 (2025): 2708. https://doi.org/10.3390/electronics14132708.

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Swarm-based unmanned aerial vehicle (UAV) systems offer enhanced spatial coverage, collaborative intelligence, and mission scalability for various applications, including environmental monitoring and emergency response. However, their onboard processing is limited by stringent size, weight, and power constraints, posing challenges for real-time computation and autonomous control. This paper presents an integrated communication and computation framework that combines cloud–edge–end collaboration with cell-free massive multiple-input multiple-output (CF-mMIMO) to enable scalable and efficient ta

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Suaco, Thea P., Antonio D. Mangaliag, and Marilyn M. Gadgad. "Collaborative Summative Assessment: Means for Enduring Learning and Attainment of 21st Century Skills in the Online Platform." Journal of Education and Learning 12, no. 1 (2023): 118. http://dx.doi.org/10.5539/jel.v12n1p118.

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The use of collaborative assessment as a form of summative evaluation during online learning targets Sustainable Development Goal (SDG) 4 which aims at ensuring sustainable development in education through student assessment. Moreover, collaborative assessment is an interactive process that enables students to work together and get engaged in shared decision-making toward mutually-defined goals. This research aimed to examine the impact of online distance learning on collaborative assessment among High School students according to grade level and sex. This research will help educate learners o

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Zhang, Xu, Jin Yuan, Hanwang Zhang, et al. "SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 10 (2025): 10257–65. https://doi.org/10.1609/aaai.v39i10.33113.

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Controllable image semantic understanding tasks, such as captioning or segmentation, necessitate users to input a prompt (e.g., text or bounding boxes) to predict a unique outcome, presenting challenges such as high-cost prompt input or limited information output. This paper introduces a new task ``Image Collaborative Segmentation and Captioning'' (SegCaptioning), which aims to translate a straightforward prompt, like a bounding box around an object, into diverse semantic interpretations represented by (caption, masks) pairs, allowing flexible result selection by users. This task poses signifi

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Bajaj, Mansi. "Teaching a Foreign Language Online." Journal of the faculty of Education 1, no. 17 (2023): 18–26. http://dx.doi.org/10.60037/edu.v1i17.1175.

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The methodologies for language teaching have evolved over the years to learner centered and inclusive pedagogies. The focus has been on interactive communicative and task-based teaching methodologies. With the class moving online, there is a need to develop new activities and creative tasks to engage learners in foreign language environment. The present paper highlights the need for language teachers to take the role of facilitator and engage leaners in online-based activities and tasks. The paper also lists some online-based tasks and activities which can generate noticeably greater desire to

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Fuller, Kathryn, Matthew D. Linden, Tracey Lee-Pullen, Clayton Fragall, Wendy N. Erber, and Kimberley J. Röhrig. "An active, collaborative approach to learning skills in flow cytometry." Advances in Physiology Education 40, no. 2 (2016): 176–85. http://dx.doi.org/10.1152/advan.00002.2015.

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Advances in science education research have the potential to improve the way students learn to perform scientific interpretations and understand science concepts. We developed active, collaborative activities to teach skills in manipulating flow cytometry data using FlowJo software. Undergraduate students were given compensated clinical flow cytometry listmode output (FCS) files and asked to design a gating strategy to diagnose patients with different hematological malignancies on the basis of their immunophenotype. A separate cohort of research trainees was given uncompensated data files on w

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Fortune, Alan, and Dilys Thorp. "Knotted and Entangled: New Light on the Identification, Classification and Value of Language Related Episodes in Collaborative Output Tasks." Language Awareness 10, no. 2-3 (2001): 143–60. http://dx.doi.org/10.1080/09658410108667031.

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Pospelova, Tatiana. "The Collaborative Discussion Model: Developing Writing Skills through Prewriting Discussion." Journal of Language and Education, no. 1 (March 31, 2021): 158–72. http://dx.doi.org/10.17323/jle.2021.10748.

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This study aims to investigate the effect of peer-assisted prewriting discussion on second language (L2) academic writing and its benefits for students with different proficiency levels. While there is a significant body of research exploring the positive impact of collaboration on L2 writers' written performance and the ways it could be organised, there is little practical consideration on how to formulate explicit instruction. The rationale for this research lies in designing and arranging explicit instruction that could lead to L2 learners producing a higher quality writing output. Based on

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Mohammadi, Hesam, Maryam Beiki, and Arshya Keyvanfar. "The Impact of Back-translation Instruction with Collaborative Activities on Iranian English Students’ Translation Achievement." IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) 7, no. 1 (2022): 75. http://dx.doi.org/10.21093/ijeltal.v7i1.1193.

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The present quasi-experimental study with a non-equivalent control group pretest-posttest design investigated the impact of back-translation teaching with collaborative activities on Iranian English translation students’ translation achievement. To this end, 30Iranian EFL translation students studying at Islamic Azad University North Tehran Branch were nominated based on convenience sampling. The Oxford Placement Test (OPT) and a translation pretest were directed to inspect the contributors’ homogeneity prior to the treatment. The groups were assigned to the Collaborative Back-translation Grou

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Yuan, Mu, Lan Zhang, and Xiang-Yang Li. "MLink: Linking Black-Box Models for Collaborative Multi-Model Inference." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (2022): 9475–83. http://dx.doi.org/10.1609/aaai.v36i9.21180.

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The cost efficiency of model inference is critical to real-world machine learning (ML) applications, especially for delay-sensitive tasks and resource-limited devices. A typical dilemma is: in order to provide complex intelligent services (e.g. smart city), we need inference results of multiple ML models, but the cost budget (e.g. GPU memory) is not enough to run all of them. In this work, we study underlying relationships among black-box ML models and propose a novel learning task: model linking. Model linking aims to bridge the knowledge of different black-box models by learning mappings (du

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Ghasedi, Parviz, Habibollah Mashhady, and Farideh Okati. "THE EFFECTS OF HOMOGENEOUS AND HETEROGENEOUS PUSHED OUTPUT INSTRUCTIONS ON SPEAKING COMPLEXITY." English Review: Journal of English Education 6, no. 1 (2017): 11. http://dx.doi.org/10.25134/erjee.v6i1.766.

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This study was set out to investigate the efficacy of homogeneous and heterogeneous pushed output based instruction on upper-intermediate EFL learner� speaking complexity. To do so, 41 (17 males and 24 females) EFL learners were selected from University of Zabol based on the results of OPT. Then, they were put in control and experimental groups based on the predetermined criteria. Retelling and decision making tasks were used in the treatments of experimental groups while control group received placebo during 15 sessions, twice a week. Public versions of IELTS speaking test were used as pre/po

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Feng, Le, Yuan Yang, Mian Tan, et al. "Adaptive multi-source domain collaborative fine-tuning for transfer learning." PeerJ Computer Science 10 (June 21, 2024): e2107. http://dx.doi.org/10.7717/peerj-cs.2107.

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Fine-tuning is an important technique in transfer learning that has achieved significant success in tasks that lack training data. However, as it is difficult to extract effective features for single-source domain fine-tuning when the data distribution difference between the source and the target domain is large, we propose a transfer learning framework based on multi-source domain called adaptive multi-source domain collaborative fine-tuning (AMCF) to address this issue. AMCF utilizes multiple source domain models for collaborative fine-tuning, thereby improving the feature extraction capabil

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Zhang, Lu. "Improved Collaborative Filtering Automatic Assessment System for Teaching English Writing in College." Advances in Multimedia 2022 (August 16, 2022): 1–9. http://dx.doi.org/10.1155/2022/7092811.

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In the context of economic globalization, as an international language, English plays an increasingly essential role in the communication and exchange of ideas. As an output skill that fully reflects one’s linguistic and cultural literacy and logical thinking ability, English writing is undoubtedly the most difficult of the four basic skills of listening, speaking, reading, and writing. Writing is a form of expression that enables human thoughts to communicate and exchange across time and space, and it is also a powerful witness to the collision of ideas. However, most college students treat E

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Zi, Bin, Long Zhang, Dan Zhang, and Sen Qian. "Modeling, analysis, and co-simulation of cable parallel manipulators for multiple cranes." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 9 (2014): 1693–707. http://dx.doi.org/10.1177/0954406214545818.

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With the increase of the weight and volume of building components, the collaborative working of multiple cranes is necessary when one crane cannot meet the lifting requirement sometimes. This paper is devoted to model and analyze a type of cable parallel manipulators for multiple cranes (CPMMCs). The CPMMCs have better lifting capability than a single crane and can be applied in complex lifting tasks. Kinematics and dynamics of the end-effector of the CPMMCs are studied and the reachable workspace is carried out additionally. Considering the requirements of large output torque, large motion sc

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Ashrafova, Ilaha. "Teaching Generative Skills in the EFL Classroom: Approaches to Writing and Speaking Development." Porta Universorum 1, no. 4 (2025): 178–93. https://doi.org/10.69760/portuni.0104018.

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Writing and speaking are central generative (productive) skills in EFL education, yet they present persistent challenges due to their cognitive complexity and classroom constraints. This review surveys theory and practice to identify effective strategies for developing L2 writing and speaking. We first outline theoretical foundations, including communicative competence models, cognitive processing of output, and sociocultural perspectives. Next we examine pedagogical approaches to writing (e.g. process-genre instruction, task/project-based writing, peer review, digital tools) and to speaking (

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Xiang, Yuquan. "The Application and Innovation of Recitation Input in Senior High School English Writing Teaching." Journal of Education and Educational Research 13, no. 1 (2025): 80–84. https://doi.org/10.54097/7qsdkw69.

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Guided by the General Senior High School English Curriculum Standard (2017 Edition), this research embarks on an in - depth exploration of the theoretical underpinnings and innovative applications of recitation input within the domain of senior high school English writing instruction. By skillfully integrating cognitive psychology and second-language acquisition theories, it constructs a solid analytical framework. The findings unmistakably reveal that recitation input substantially bolsters language accuracy, fluency, and cross-cultural expressiveness. This remarkable effect is attained throu

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Figueredo, Luis F. C., Rafael De Castro Aguiar, Lipeng Chen, Thomas C. Richards, Samit Chakrabarty, and Mehmet Dogar. "Planning to Minimize the Human Muscular Effort during Forceful Human-Robot Collaboration." ACM Transactions on Human-Robot Interaction 11, no. 1 (2022): 1–27. http://dx.doi.org/10.1145/3481587.

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This work addresses the problem of planning a robot configuration and grasp to position a shared object during forceful human-robot collaboration, such as a puncturing or a cutting task. Particularly, our goal is to find a robot configuration that positions the jointly manipulated object such that the muscular effort of the human, operating on the same object, is minimized while also ensuring the stability of the interaction for the robot. This raises three challenges. First, we predict the human muscular effort given a human-robot combined kinematic configuration and the interaction forces of

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Peterson, Mark. "Learner interaction in a massively multiplayer online role playing game (MMORPG): A sociocultural discourse analysis." ReCALL 24, no. 3 (2012): 361–80. http://dx.doi.org/10.1017/s0958344012000195.

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AbstractThis exploratory study investigates the linguistic and social interaction of four intermediate EFL learners during game play in a massively multiplayer online role playing game (MMORPG). Twelve illustrative episodes drawn from the participants’ text chat, collected in four 70-minute sessions held over a one-month period, are analyzed from a sociocultural perspective. Qualitative analysis reveals the presence of interactional features associated with the development of sociocultural competence. Throughout this study the learners successfully engaged in collaborative social interaction i

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Peterson, Mark. "Learner participation patterns and strategy use in Second Life: an exploratory case study." ReCALL 22, no. 3 (2010): 273–92. http://dx.doi.org/10.1017/s0958344010000169.

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AbstractThis paper reports on an exploratory case study that investigates the synchronous interaction of intermediate level EFL learners in the 3D virtual world Second Life. The subjects took part in three seventy-minute chat sessions that involved the use of affordances provided by a purpose-built world within this environment. Analysis of the data revealed that the context and tasks appeared to elicit a high degree of participation. The interaction was highly learner–centered, with the majority of messages exchanged between students. The analysis further indicated that the subjects overcame

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Perera, Sirani M., Rodman J. Myers, Killian Sullivan, Kyle Byassee, Houbing Song, and Arjuna Madanayake. "Integrating Communication and Sensor Arrays to Model and Navigate Autonomous Unmanned Aerial Systems." Electronics 11, no. 19 (2022): 3023. http://dx.doi.org/10.3390/electronics11193023.

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The emerging concept of drone swarms creates new opportunities with major societal implications. However, future drone swarm applications and services pose new communications and sensing challenges, particularly for collaborative tasks. To address these challenges, in this paper, we integrate sensor arrays and communication to propose a mathematical model to route a collection of autonomous unmanned aerial systems (AUAS), a so-called drone swarm or AUAS swarm, without having a base station of communication but communicating with each other using multiple spatio-temporal data. The theories of s

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Pauliuk, Stefan, Guillaume Majeau-Bettez, Christoper L. Mutel, Bernhard Steubing, and Konstantin Stadler. "Lifting Industrial Ecology Modeling to a New Level of Quality and Transparency: A Call for More Transparent Publications and a Collaborative Open Source Software Framework." Journal of Industrial Ecology 19, no. 6 (2015): 937–49. https://doi.org/10.1111/jiec.12316.

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Industrial ecology (IE) is a maturing scientific discipline. The field is becoming more data and computation intensive, which requires IE researchers to develop scientific software to tackle novel research questions. We review the current state of software programming and use in our field and find challenges regarding transparency, reproducibility, reusability, and ease of collaboration. Our response to that problem is fourfold: First, we propose how existing general principles for the development of good scientific software could be implemented in IE and related fields. Second, we argue that

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Luo, Haisen. "Gated Multi-task Learning for QoS-aware Service Recommendation." Journal of Physics: Conference Series 2547, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1742-6596/2547/1/012011.

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Abstract In the ever-increasing diversity of cloud environment, the recommendation of web service-related applications based on service quality is a basic tasks that both service providers and web developers are very interested in. A key challenge is how to get personalized and accurate QoS values of web services from the multi-source information of users/services. In addition, complex contexts and multi-tasking attributes also make the collaborative services quality prediction difficult to meet. Inspired by the progress of multi-task deep learning, this paper proposes a new framework of servi

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Ellis, Rod. "The Effects of Pre-Task Planning on Second Language Writing: A Systematic Review of Experimental Studies." Chinese Journal of Applied Linguistics 44, no. 2 (2021): 131–65. http://dx.doi.org/10.1515/cjal-2021-0009.

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Abstract There are both pedagogical and theoretical grounds for asking second language writers to plan before they start writing. The question then arises whether pre-task planning (PTP) improves written output. To address this question, this article reviewed 32 studies by comparing the effect of PTP either with no planning or with unpressured online planning (OLP). These studies also investigated the moderating effect of variables relating to the writer participants, the nature of the planning, and the writing tasks. The main findings are: (1) There is no clear evidence that PTP leads to bett

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Kawakami, Mutsumi. "Potential Effects of Collaborative Output Task on L2 Novice Learners’ Vocabulary Acquisition: A Pilot Study." International Journal of Languages, Literature and Linguistics 4, no. 1 (2018): 18–22. http://dx.doi.org/10.18178/ijlll.2018.4.1.143.

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Myra, J. Diaz, and Z. Andal EdD Edilberto. "Differentiated Instruction in Physical Education and Students' Engagement in Dance Activities." INTERNATIONAL JOURNAL OF SOCIAL SCIENCE HUMANITY & MANAGEMENT RESEARCH 3, no. 09 (2024): 1164–74. https://doi.org/10.5281/zenodo.13726220.

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This study aimed to assess and explore the students’ engagement in performing dance activities in a differentiated instruction of physical education among senior high school learners. Employing descriptive correlational research design, 51 STEM students from grade 12 responded to a survey questionnaire, which served as the main instrument in this study. The data gathered were subjected to descriptive statistics such as mean and standard deviation, and inferential statistical analysis, such as Pearson Correlation. This study revealed that Differentiated Instruction in Physical Education a

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Macapaser, Nassiba B., Joy R. Magsayo, Jun Karren V. Caparoso,, Ellen J. Castro, Sotero O. Malayao Jr., and Elesar V. Malicoban. "Enhancing Earth Science Activities on Tracking Typhoon Using 21st Century Learning Design Rubric." International Journal of Research and Innovation in Social Science IX, no. IV (2025): 724–37. https://doi.org/10.47772/ijriss.2025.90400054.

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In the 21st century, STEM education plays a vital role in preparing learners for real-world challenges by fostering critical skills such as collaboration, knowledge construction, and skilled communication. However, traditional Earth Science instruction often lacks interactive and technology-driven approaches that effectively engage students. This study aims to enhance Earth Science activities in Grade 8 learners on tracking typhoons by integrating the 21st Century Learning Design (21CLD) Rubric, to address these gap in current educational practices. Specifically, it incorporates real-time weat

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HAUCK, MIRJAM. "Critical success factors in a TRIDEM exchange." ReCALL 19, no. 2 (2007): 202–23. http://dx.doi.org/10.1017/s0958344007000729.

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Computer-mediated-communication (CMC) tools allowing learners to be in contact with native speakers of their target language in other locations are becoming increasingly flexible, often combining different modes of communication in a single web- and internet-based environment. The literature on telecollaborative exchanges reveals, however, that online intercultural communication between language learners “often fails to achieve the intended pedagogical goals” (O’Dowd & Ritter, 2006:624) and warns that “exposure and awareness of difference seem to reinforce, rather than bridge, feelings of

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Li, Bo, Weichao Ou, Tingwei Chen, Gaoming Li, Yuanrui Chen, and Junfeng Liu. "Approach to Multi-Timescale Optimization for Distributed Energy Resources Clusters Considering Flexibility Margin." Energies 16, no. 1 (2022): 308. http://dx.doi.org/10.3390/en16010308.

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The disordered access of massively distributed energy resources (DERs) brings great challenges to the operation stability of the power grid. This paper puts forward the concept of a cluster, which gathers DERs in large quantities, small capacities, dispersion and disorder to form a large, centralized and orderly whole, namely cluster, with certain incentive measures. In this paper, a multi-timescale optimization method of day-ahead planning and intra-day rolling optimization is proposed according to the characteristics of aggregated clusters and the requirements of China’s power grid architect

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Yang, Xiaofang. "The Cultivation of Teamwork Quality from the Perspective of Competitive-Complementary Relations." International Journal of Emerging Technologies in Learning (iJET) 17, no. 14 (2022): 126–40. http://dx.doi.org/10.3991/ijet.v17i14.32807.

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During the process of starting a business, in an entrepreneur team, there’s not only a collaborative relationship among team members, there’re also competitions between them. To avoid the consequence of team output reduction caused by the competitive behavior of team members to fight for rights and interests, it’s necessary to figure out the influence of the Competitive-Complementary Relations (CCR) among members on the performance of the team, so this paper aims to study the cultivation of teamwork quality of college students in entrepreneur team from the perspective of CCR. At first, relevan

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Dayang, Paul, Cyrille Sepele Petsou, and Damien Wohwe Sambo. "Combining Fuzzy Logic and k-Nearest Neighbor Algorithm for Recommendation Systems." International Journal of Information Technology and Computer Science 13, no. 4 (2021): 1–16. http://dx.doi.org/10.5815/ijitcs.2021.04.01.

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Recommendation systems are a type of systems that are able to help users finding relevant and personalized content in a wide variety of possibilities. To help computers perform recommendations, there are several approaches used nowadays such as the Content-based approach, the Collaborative filtering approach and the Hybrid recommendation approach. However, these approaches are sometimes inappropriate for use cases where there is no prior large datasets of users’ feedbacks or ratings needed for training Machine Learning models. Thus, in this work, we proposed a novel approach based on the combi

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Qureshi, Bilal, John Roseberry, and Zeeshan Qureshi. "Boosting Intersubjectivity by Digital Video Recording Project in EFL Classes." Scope : Journal of English Language Teaching 4, no. 1 (2020): 20. http://dx.doi.org/10.30998/scope.v4i01.4977.

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<p dir="ltr"><span>One challenge that modern English teachers face is the how effectively design an interface that monitors output, notices weaknesses, and provides accurate feedback. The ephemeral nature of speech obstructs assessment, peer review, and self-reflection of L2 spoken output for both students and teachers. This study sought to determine if the use of video recording would help solve this problem. Using video camera in phone proved to be a great tool that offers direct benefits to learners. These benefits included providing a tangible record of what was said, a great o

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