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Relevant bibliographies by topics / Collaborative Output Tasks

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Academic literature on the topic 'Collaborative Output Tasks'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Collaborative Output Tasks"

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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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Dissertations / Theses on the topic "Collaborative Output Tasks"

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Hwang, Jung-Hee. "Collaborative output tasks and their effects on noticing student-student interaction and second language learning." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/10019894/.

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Book chapters on the topic "Collaborative Output Tasks"

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García Mayo, María del Pilar. "Task-based language learning among children in an EFL context." In Task-Based Language Teaching. John Benjamins Publishing Company, 2025. https://doi.org/10.1075/tblt.17.05gar.

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Abstract Task-based language teaching (TBLT) research has expanded substantially in foreign language contexts. However, most studies until relatively recently have been carried out with young adults in university settings, despite the fact that, among young children, exposure to a foreign language (mainly English) is on the increase worldwide. This chapter focuses on current research with children learning English as a Foreign Language (EFL) while they perform collaborative tasks in mainstream and content and language integrated learning (CLIL) contexts. The studies, carried out within interac

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Calzada, Asier, and María del Pilar García Mayo. "Chapter 4. Do task repetition and pretask focus on form instruction impact collaborative writing performance?" In Language Learning & Language Teaching. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/lllt.59.04cal.

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This study examines the influence of task repetition (TR) and pretask focus on form instruction (FFI) on written collaborative production. Eighty-five low-proficiency EFL children carried out a dictogloss task twice: one targeting the 3rd person singular present “‑s”, and the other aiming at the possessive determiners “his/her”. Participants were divided into three different conditions: individual, collaborative, and pretask FFI + collaborative. Their written output was analyzed for complexity and accuracy, and overall text quality was gauged with an analytic rubric. The results did not reveal

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Inversini, Alessandro, Meng-Mei Chen, Amélie Keller, and Roland Schegg. "Hot Topics in Travel Digital Transformation: A Swiss Perspective." In Information and Communication Technologies in Tourism 2024. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58839-6_21.

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AbstractThe advance of technologies has profoundly changed customers’ expectation and behaviors, as well as companies’ business processes and business models. Given the critical importance of digital transformation, surprisingly, there is scarce research documenting and sharing the knowledge, experience, and insights from digital transformation practitioners, especially in the tourism domain. This research aims to understand the perspectives and actions of Swiss tourism stakeholders in pursuing the digital transformation process. The research data was collected through interviews with tourism

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Meier, Christoph, Sabine Seufert, Josef Guggemos, and Judith Spirgi. "Learning Organizations in the Age of Smart Machines." In Digital Transformation of Learning Organizations. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55878-9_5.

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AbstractResearch on the learning organization has, so far, failed to appreciate the relevance of two intertwined loci of learning in organizations: (1) advanced digital systems (“smart machines”) and their ever-growing capacity for carrying out tasks and (2) collaboration of employees with these smart machines (hybrid activities and augmentation). In the context of digital transformation, hybrid activities (where humans complement smart machines and smart machines boost human capacities) become an important driver for organizational performance. We discuss fusion skills (as a prerequisite for

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"Focus on Grammar through Collaborative Output Tasks." In Teaching Grammar in Second Language Classrooms. Routledge, 2011. http://dx.doi.org/10.4324/9780203850961-13.

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González, Paz Perez, and Jose M. Framinan. "Tools for Collaborative Business Process T Modeling." In Business Information Systems. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-969-9.ch041.

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A business process can be defined as a set of related tasks that are carried out within a business or organization in order to obtain certain output that should add value for the business client or organization (Gunasekaran & Kobu, 2002). An enterprise can be then analyzed and integrated through its business processes. Thus, business process modeling (BPM) becomes a fundamental part of business process management, as it enables a common understanding and analysis of a company’s business processes. Particularly, BPM using computer-aided design tools and a standard visual form of notation to

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Dixon, Daniel H., and MaryAnn Christison. "The Usefulness of Massive Multiplayer Online Role Playing Games (MMORPGs) as Tools for Promoting Second Language Acquisition." In Applications of CALL Theory in ESL and EFL Environments. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2933-0.ch014.

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The purpose of this chapter is twofold (1) to review the benefits of online videogames for promoting second language acquisition (SLA), specifically massive multiplayer online role-playing games (MMORPGs) and (2) to present new research that seeks to explain why and how MMORPGs may be beneficial. The findings from the research indicate that MMORPGs are beneficial to SLA primarily because they provide opportunities for interaction in the target language through participation in collaborative problem solving tasks. The results of the research presented in this chapter show (1) that the requireme

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Dixon, Daniel H., and MaryAnn Christison. "L2 Gamers' Use of Learning and Communication Strategies in Massively Multiplayer Online Games (MMOs)." In CALL Theory Applications for Online TESOL Education. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6609-1.ch013.

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The purpose of this chapter is twofold: (1) to review the benefits of digital game-based language learning (DGBLL), specifically massively multiplayer online games (MMOs), and (2) to present research investigating the design elements of MMOs that can be beneficial for second language acquisition (SLA). Data were gathered from volunteer ESL learners playing the MMO Guild Wars 2 over the course of four weeks. The findings from the research indicate that MMOs with design elements like Guild Wars 2 are beneficial to SLA primarily because they provide opportunities for interaction in the target lan

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Seljan, Sanja, Nikolina Škof Erdelja, Vlasta Kučiš, Ivan Dunđer, and Mirjana Pejić Bach. "Quality Assurance in Computer-Assisted Translation in Business Environments." In Advances in Business Information Systems and Analytics. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4240-8.ch011.

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Increased use of computer-assisted translation (CAT) technology in business settings with augmented amounts of tasks, collaborative work, and short deadlines give rise to errors and the need for quality assurance (QA). The research has three operational aims: 1) methodological framework for QA analysis, 2) comparative evaluation of four QA tools, 3) to justify introduction of QA into CAT process. The research includes building of translation memory, terminology extraction, and creation of terminology base. Error categorization is conducted by multidimensional quality (MQM) framework. The level

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Shu Absalom, Markov Konstantin, Vazhenin Alexander, Cortez Ruth, Bhalla Subhash, and Shrestha Shashank. "Unified User-Interface and Protocol for Managing Heterogeneous Deep Learning Services." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-800-6-563.

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In the last decade, cheaper and more powerful computations have favored a sufficient surge in research and development of applications in the fields of machine and deep learning. Though often varying in approach, these activities aim mostly at solving similar tasks such as speech synthesis, emotion detection, image recognition, mathematical computations etc. Usually, the typical scenario of using designed algorithms/applications includes inputting data represented in some predefined formats and launching a corresponding program tool that produces expected output data as well as analyzing obtai

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Conference papers on the topic "Collaborative Output Tasks"

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Sahab, Alkholi, Mirzaiee Ebrahim, and Daróczi Miklós. "Implementing Lean Tools to Improve a Production Line in a Given Company." In 10th International Scientific Conference on Advances in Mechanical Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-8bzqhf.

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In the competitive landscape of today's automotive industry, achieving excellence is fundamental. Our paper delves into the practical application of lean manufacturing principles within a given company.Drawing on collaborative efforts with industry experts and professionals, this paper documents practical experiences gained in the field of production management. By implementing various lean tools on one of the production lines in the company, significant strides were taken towards continuous improvement, resulting in enhanced productivity, reduced lead times, and heightened customer satisfacti

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Yousif, Shermeen, and Daniel Bolojan. "Interconnectivity of Deep Learning Models in AI-Driven Design Systems." In Design Computation Input/Output 2022. Design Computation, 2022. http://dx.doi.org/10.47330/dcio.2022.iqbe2166.

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"The incorporation of deep learning models into architectural design poses challenges, despite their potential to inform new design processes. One of these issues is the oversimplification of the design problem when employing a discrete, single AI model to tackle a multifaceted, complex design activity. Importantly, the investigation of DL-driven systems requires the identification of components (parts) and relationships between these constituents of this new design workflow. The need to investigate a functional AI-driven design workflow structure with design intentions encoded and incorporate

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AbdelSalam, Hisham M., and Han P. Bao. "Towards a Collaborative Engineering-Computation Environment: An Application of an Object-Oriented Database to Project Management." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14611.

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Abstract Today’s engineering applications suffer from a severe integration problem. Engineering, i.e. the entire process, consists of a myriad of individual, often complex tasks. Most computer tools support particular tasks in engineering, but the output of one tool is different from the others’. Thus, the user must re-enter the relevant information in the format required by each tool. To achieve a collaborative engineering environment, engineers need some means for relating the information produced by existing software tools. In this paper, a new framework to handle the time-cost trade-off pr

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Haley, Paul H., Susan M. Thornton, Robert R. Mitchell, William P. Zachar, Mike Hoffelder, and Steven McLean. "FUSION OF MULTIPLE SENSORS FOR SAFE OPERATIONS." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3087.

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<title>ABSTRACT</title> <p> <italic>Operating safely in cluttered environments is critical to future autonomous robotic operations as exemplified by FCS Risk 213. In support of this requirement, the Robotics Collaborative Technology Alliance (RCTA) program, sponsored by the Army Research Lab (ARL), has supported research tasks and corresponding integration and test events from 2006 through 2009. Multiple sensor systems, including scanning LADARs and stereo camera pairs, have been used to detect, track, and predict the future motion of obstacles in the close proximity of

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Wu, Hao, Jonathan Corney, and Michael Grant. "Crowdsourcing Measures of Design Quality." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34967.

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Today there are numerous examples of collaborative online communities effectively creating innovative products (e.g., RepRap, Linux). But the potential of anonymous crowds to also engage in generative design, through the aggregation of many small contributions, is less clear. Although in recent years the “power of the crowd” has been repeatedly demonstrated in areas that range from image labelling to linguistic translation. The application of crowdsourcing in the fields of design research and creative innovation has been much slower to emerge. As a result, although there have been reports of s

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Fiene, Jonathan P. "The M1: A Custom Mechatronics Platform for Robotics Education." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29136.

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This paper presents the details of a compact embedded-computing module designed to meet a variety of pedagogical objectives within mechatronics, controls, and robotics. Built around an ATmega32U4 microcontroller, the 1.8 × 4.0 centimeter module has flash memory for program and data storage, 25 general-purpose input/output lines, four timer/counters, 12 channels of 10-bit analog-to-digital conversion, and support for a variety of serial communications protocols, including USB. The unit adapts easily to a solderless breadboard for quick prototyping, and requires only an external 5-volt power sou

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Deng, Yue, Yilin Shen, and Hongxia Jin. "Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/688.

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We introduce an adversarial-critic-and-assistant (ACA) learning framework to improve the performance of existing supervised learning with multiple outputs. The core contribution of our ACA is the innovation of two novel modules, i.e. an `adversarial critic' and a `collaborative assistant', that are jointly designed to provide augmenting information for facilitating general learning tasks. Our approach is not intended to be regarded as an emerging competitor for tons of well-established algorithms in the field. In fact, most existing approaches, while implemented with different learning objecti

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Arefeen, Asif, and Yujiang Xiang. "Design Human-Robot Collaborative Lifting Task Using Optimization." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71818.

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Abstract In this paper, an optimization-based dynamic modeling method is used for human-robot lifting motion prediction. The three-dimensional (3D) human arm model has 13 degrees of freedom (DOFs) and the 3D robotic arm (Sawyer robotic arm) has 10 DOFs. The human arm and robotic arm are built in Denavit-Hartenberg (DH) representation. In addition, the 3D box is modeled as a floating-base rigid body with 6 global DOFs. The interactions between human arm and box, and robot and box are modeled as a set of grasping forces which are treated as unknowns (design variables) in the optimization formula

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He, Liang, Sean Phillips, Steven Waslander, and William Melek. "Task Based Pose Optimization of Modular Mobile Manipulators." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-83010.

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We propose a task based pose optimization method for modular mobile manipulators. The modular mobile manipulators are designed and prototyped by researchers at University of Waterloo. The intended application of the modular mobile manipulator is to assist urban search and rescue in unstructured environments. A single mobile manipulator with limited capability cannot achieve complex tasks in this application. When several modular mobile manipulators are linked to one another, they can perform complex tasks through decentralized collaboration. The focus of this research is to develop and simulat

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Bhattacharyya, Saugat, Davide Valeriani, Caterina Cinel, Luca Citi, and Riccardo Poli. "Collaborative Brain-Computer Interfaces to Enhance Group Decisions in an Outpost Surveillance Task." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856309.

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Reports on the topic "Collaborative Output Tasks"

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Clancy, Joy. Making an inclusive and gender aware energy policy. Users TCP, 2024. https://doi.org/10.47568/7xr146.

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This paper is an output of sub-task 2 of the Gender and Energy Research Programme within the User-Centred Energy Systems (UsersTCP) which is part of the IEA Technology Collaboration Programme. The sub-task set out to gain an understanding of the systematic inertias in the sociotechnical energy system hindering the formation of gender aware policies and interventions and then to identify ways of countering the inertias. This paper presents a synthesis of three case studies carried out within the subtask with some supporting evidence from other sources. The cases looked at different aspects of e

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UsersTCP 2020 Annual Report. IEA User-Centred Energy Systems Technology Collaboration Programme, 2021. http://dx.doi.org/10.47568/1ar107.

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