592 results on '"Gillet, Denis"'
Search Results
2. Harnessing Rule-Based Chatbots to Support Teaching Python Programming Best Practices
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Farah, Juan Carlos, Spaenlehauer, Basile, Ingram, Sandy, Purohit, Aditya K., Holzer, Adrian, Gillet, Denis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Cukierman, Uriel R., editor, Vendrell Vidal, Eduardo, editor, and Tovar Caro, Edmundo, editor
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- 2024
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3. TRACE: A Conceptual Model to Guide the Design of Educational Chatbots
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Farah, Juan Carlos, primary, Spaenlehauer, Basile, additional, Ingram, Sandy, additional, Lasne, Fanny Kim-Lan, additional, Rodríguez-Triana, María Jesús, additional, Holzer, Adrian, additional, and Gillet, Denis, additional
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- 2024
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4. Harnessing Rule-Based Chatbots to Support Teaching Python Programming Best Practices
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Farah, Juan Carlos, primary, Spaenlehauer, Basile, additional, Ingram, Sandy, additional, Purohit, Aditya K., additional, Holzer, Adrian, additional, and Gillet, Denis, additional
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- 2024
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5. Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs
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Macktoobian, Matin, Gillet, Denis, and Kneib, Jean-Paul
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Astrophysics - Instrumentation and Methods for Astrophysics ,Computer Science - Robotics - Abstract
In this paper, we solve the complete coordination problem of robotic fiber positioners using supervisory control theory. In particular, we model positioners and their behavioral specifications as discrete-event systems by the discretization of their motion spaces. We synthesize a coordination supervisor associated with a specific set of positioners. In particular, the coordination supervisor includes the solutions to the complete coordination problem of its corresponding positioners. Then, we use the backtracking forcibility technique of supervisory control theory to present an algorithm based on a completeness condition to solve the coordination problem similar to a reconfiguration problem. We illustrate the functionality of our method using an example.
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- 2022
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6. Learning convergence prediction of astrobots in multi-object spectrographs
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Macktoobian, Matin, Basciani, Francesco, Gillet, Denis, and Kneib, Jean-Paul
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Astrophysics - Instrumentation and Methods for Astrophysics ,Computer Science - Robotics - Abstract
Astrobot swarms are used to capture astronomical signals to generate the map of the observable universe for the purpose of dark energy studies. The convergence of each swarm in the course of its coordination has to surpass a particular threshold to yield a satisfactory map. The current coordination methods do not always reach desired convergence rates. Moreover, these methods are so complicated that one cannot formally verify their results without resource-demanding simulations. Thus, we use support vector machines to train a model which can predict the convergence of a swarm based on the data of previous coordination of that swarm. Given a fixed parity, i.e., the rotation direction of the outer arm of an astrobot, corresponding to a swarm, our algorithm reaches a better predictive performance compared to the state of the art. Additionally, we revise our algorithm to solve a more generalized convergence prediction problem according to which the parities of astrobots may differ. We present the prediction results of a generalized scenario, associated with a 487-astrobot swarm, which are interestingly efficient and collision-free given the excessive complexity of this scenario compared to the constrained one.
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- 2022
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7. Astrobotics: Swarm Robotics for Astrophysical Studies
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Macktoobian, Matin, Gillet, Denis, and Kneib, Jean-Paul
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Astrophysics - Instrumentation and Methods for Astrophysics ,Computer Science - Robotics - Abstract
This paper introduces the emerging field of astrobotics, that is, a recently-established branch of robotics to be of service to astrophysics and observational astronomy. We first describe a modern requirement of dark matter studies, i.e., the generation of the map of the observable universe, using astrobots. Astrobots differ from conventional two-degree-of-freedom robotic manipulators in two respects. First, the dense formation of astrobots give rise to the extremely overlapping dynamics of neighboring astrobots which make them severely subject to collisions. Second, the structure of astrobots and their mechanical specifications are specialized due to the embedded optical fibers passed through them. We focus on the coordination problem of astrobots whose solutions shall be collision-free, fast execution, and complete in terms of the astrobots' convergence rates. We also illustrate the significant impact of astrobots assignments to observational targets on the quality of coordination solutions To present the current state of the field, we elaborate the open problems including next-generation astrophysical projects including 20,000 astrobots, and other fields, such as space debris tracking, in which astrobots may be potentially used
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- 2022
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8. ADA for IBL: Lessons Learned in Aligning Learning Design and Analytics for Inquiry-Based Learning Orchestration
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Rodriguez-Triana, Maria Jesus, Prieto, Luis P., Dimitriadis, Yannis, de Jong, Ton, and Gillet, Denis
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Orchestrating technology-enhanced learning is a difficult task, especially in demanding pedagogical approaches like inquiry-based learning (IBL). To foster effective teacher adoption, both the complexity of designing IBL activities and the uncertainty about the student learning path during enactment need to be addressed. Previous research suggests that aligning learning design and learning analytics can be an effective way to provide such orchestration support. This paper reports on a design-based research (DBR) project to explore teachers' orchestration needs in Go-Lab (a technological ecosystem for IBL used by thousands of primary and secondary school teachers around the world), and on how solutions that align learning design and analytics can fulfill such needs. The analysis of data from multiple events (including surveys, case studies, workshops with teachers, and platform usage analyses) led to a catalogue of IBL orchestration needs that can be tackled by aligning learning design and analytics, as well as a list of guidelines for technology development aiming to support IBL orchestration. These two contributions can support the creation of future learning analytics--enhanced IBL environments that are both pedagogically grounded and usable by teachers in authentic settings.
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- 2021
9. Prompting Large Language Models to Power Educational Chatbots
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Farah, Juan Carlos, Ingram, Sandy, Spaenlehauer, Basile, Lasne, Fanny Kim-Lan, Gillet, Denis, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Xie, Haoran, editor, Lai, Chiu-Lin, editor, Chen, Wei, editor, Xu, Guandong, editor, and Popescu, Elvira, editor
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- 2023
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10. Integrating Code Reviews into Online Lessons to Support Software Engineering Education
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Farah, Juan Carlos, Spaenlehauer, Basile, Rodríguez-Triana, María Jesús, Ingram, Sandy, Gillet, Denis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Pachatz, Wolfgang, editor, and Rüütmann, Tiia, editor
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- 2023
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11. Experimental evaluation of complete safe coordination of astrobots for Sloan Digital Sky Survey V
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Macktoobian, Matin, Araújo, Ricardo, Grossen, Loïc, Kronig, Luzius, Bouri, Mohamed, Gillet, Denis, and Kneib, Jean-Paul
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Astrophysics - Instrumentation and Methods for Astrophysics ,Computer Science - Robotics - Abstract
The data throughput of massive spectroscopic surveys in the course of each observation is directly coordinated with the number of optical fibers which reach their target. In this paper, we evaluate the safety and the performance of the astrobots coordination in SDSS-V by conducting various experimental and simulated tests. We illustrate that our strategy provides a complete coordination condition which depends on the operational characteristics of astrobots, their configurations, and their targets. Namely, a coordination method based on the notion of cooperative artificial potential fields is used to generate safe and complete trajectories for astrobots. Optimal target assignment further improves the performance of the used algorithm in terms of faster convergences and less oscillatory movements. Both random targets and galaxy catalog targets are employed to observe the coordination success of the algorithm in various target distributions. The proposed method is capable of handling all potential collisions in the course of coordination. Once the completeness condition is fulfilled according to initial configuration of astrobots and their targets, the algorithm reaches full convergence of astrobots. Should one assign targets to astrobots using efficient strategies, convergence time as well as the number of oscillations decrease in the course of coordination. Rare incomplete scenarios are simply resolved by trivial modifications of astrobots swarms' parameters., Comment: https://link.springer.com/article/10.1007/s10686-020-09687-4
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- 2020
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12. Promoting Computational Thinking Skills in Non-Computer-Science Students: Gamifying Computational Notebooks to Increase Student Engagement
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De Santo, Alessio, Farah, Juan Carlos, Martinez, Marc Lafuente, Moro, Arielle, Bergram, Kristoffer, Purohit, Aditya Kumar, Felber, Pascal, Gillet, Denis, and Holzer, Adrian
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Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor's and master's programs outside of the CS discipline integrate CT courses within their study program. At the same time, tools such as notebooks and interactive apps designed to support the teaching of programming concepts are becoming ever more popular. However, in non-CS majors, CT might not be perceived as essential, and students might lack the motivation to engage with such tools in order to acquire solid CT skills. This article presents a field study conducted with 115 students during a full semester on a novel computational notebook environment. It evaluates computational notebooks and CT skills in an introductory course on information technology for first-year undergraduates in business and economics. A multidimensional evaluation approach makes use of pre- and post-test surveys, lectures, and self-directed laboratory sessions tracking analytics. Our findings suggest that, in the process of learning CT for non-CS students, engagement in active learning activities can be a stronger determinant of learning outcomes than initial knowledge. Furthermore, gamifying computational notebooks can serve as a strong driver of active learning engagement, even more so than initial motivational factors.
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- 2022
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13. Data-Driven Convergence Prediction of Astrobots Swarms
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Macktoobian, Matin, Basciani, Francesco, Gillet, Denis, and Kneib, Jean-Paul
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Computer Science - Robotics ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
Astrobots are robotic artifacts whose swarms are used in astrophysical studies to generate the map of the observable universe. These swarms have to be coordinated with respect to various desired observations. Such coordination are so complicated that distributed swarm controllers cannot always coordinate enough astrobots to fulfill the minimum data desired to be obtained in the course of observations. Thus, a convergence verification is necessary to check the suitability of a coordination before its execution. However, a formal verification method does not exist for this purpose. In this paper, we instead use machine learning to predict the convergence of astrobots swarm. In particular, we propose a weighted $k$-NN-based algorithm which requires the initial status of a swarm as well as its observational targets to predict its convergence. Our algorithm learns to predict based on the coordination data obtained from previous coordination of the desired swarm. This method first generates a convergence probability for each astrobot based on a distance metric. Then, these probabilities are transformed to either a complete or an incomplete categorical result. The method is applied to two typical swarms including 116 and 487 astrobots. It turns out that the correct prediction of successful coordination may be up to 80% of overall predictions. Thus, these results witness the efficient accuracy of our predictive convergence analysis strategy.
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- 2020
14. Complete coordination of robotic fiber positioners for massive spectroscopic surveys
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Macktoobian, Matin, Gillet, Denis, and Kneib, Jean-Paul
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Astrophysics - Instrumentation and Methods for Astrophysics ,Computer Science - Robotics - Abstract
Robotic fiber positioners play a vital role in the generation of massive spectroscopic surveys. The more complete a positioners set is coordinated, the more information its corresponding spectrograph receives during an observation. The complete coordination problem of positioners sets is studied in this paper. We first define the local and the global completeness problems and determine their relationship. We then propose a new artificial potential field according to which the convergences of a positioner and its neighboring positioners are cooperatively taken into account. We also discover the required condition for a complete coordination. We finally explain how the modifications of some of the parameters of a positioners set may resolve its incompleteness coordination scenarios. We verify our accomplishments using simulations.
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- 2020
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15. Optimal target assignment for massive spectroscopic surveys
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Macktoobian, Matin, Gillet, Denis, and Kneib, Jean-Paul
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Astrophysics - Instrumentation and Methods for Astrophysics ,Computer Science - Robotics - Abstract
Robotics have recently contributed to cosmological spectroscopy to automatically obtain the map of the observable universe using robotic fiber positioners. For this purpose, an assignment algorithm is required to assign each robotic fiber positioner to a target associated with a particular observation. The assignment process directly impacts on the coordination of robotic fiber positioners to reach their assigned targets. In this paper, we establish an optimal target assignment scheme which simultaneously provides the fastest coordination accompanied with the minimum of colliding scenarios between robotic fiber positioners. In particular, we propose a cost function by whose minimization both of the cited requirements are taken into account in the course of a target assignment process. The applied simulations manifest the improvement of convergence rates using our optimal approach. We show that our algorithm scales the solution in quadratic time in the case of full observations. Additionally, the convergence time and the percentage of the colliding scenarios are also decreased in both supervisory and hybrid coordination strategies.
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- 2020
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16. Prompting Large Language Models to Power Educational Chatbots
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Farah, Juan Carlos, primary, Ingram, Sandy, additional, Spaenlehauer, Basile, additional, Lasne, Fanny Kim-Lan, additional, and Gillet, Denis, additional
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- 2023
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17. Interactive Lab Experimentation and Simulation Tools for Remote Laboratories
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Moghaddam, Fariba, Gillet, Denis, Vaccari, Aldo, Salzmann, Christophe, Piguet, Yves, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Bhimavaram, Kalyan Ram, editor, and Yue, Xiao-Guang, editor
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- 2022
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18. Understanding Teacher Design Practices for Digital Inquiry-Based Science Learning: The Case of Go-Lab
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de Jong, Ton, Gillet, Denis, Rodríguez-Triana, María Jesús, Hovardas, Tasos, Dikke, Diana, Doran, Rosa, Dziabenko, Olga, Koslowsky, Jens, Korventausta, Miikka, Law, Effie, Pedaste, Margus, Tasiopoulou, Evita, Vidal, Gérard, and Zacharia, Zacharias C.
- Abstract
Designing and implementing online or digital learning material is a demanding task for teachers. This is even more the case when this material is used for more engaged forms of learning, such as inquiry learning. In this article, we give an informed account of Go-Lab, an ecosystem that supports teachers in creating Inquiry Learning Spaces (ILSs). These ILSs are built around STEM-related online laboratories. Within the Go-Lab ecosystem, teachers can combine these online laboratories with multimedia material and learning apps, which are small applications that support learners in their inquiry learning process. The Go-Lab ecosystem offers teachers ready-made structures, such as a standard inquiry cycle, alternative scenarios or complete ILSs that can be used as they are, but it also allows teachers to configure these structures to create personalized ILSs. For this article, we analyzed data on the design process and structure of 2414 ILSs that were (co)created by teachers and that our usage data suggest have been used in classrooms. Our data show that teachers prefer to start their design from empty templates instead of more domain-related elements, that the makeup of the design team (a single teacher, a group of collaborating teachers, or a mix of teachers and project members) influences key design process characteristics such as time spent designing the ILS and number of actions involved, that the characteristics of the resulting ILSs also depend on the type of design team and that ILSs that are openly shared (i.e., published in a public repository) have different characteristics than those that are kept private.
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- 2021
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19. Social Practices in Teacher Knowledge Creation and Innovation Adoption: A Large-Scale Study in an Online Instructional Design Community for Inquiry Learning
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Rodríguez-Triana, María Jesús, Prieto, Luis P., Ley, Tobias, de Jong, Ton, and Gillet, Denis
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Social practices are assumed to play an important role in the evolution of new teaching and learning methods. Teachers internalize knowledge developed in their communities through interactions with peers and experts while solving problems or co-creating materials. However, these social practices and their influence on teachers' adoption of new pedagogical practices are notoriously hard to study, given their implicit and informal nature. In this paper, we apply the Knowledge Appropriation Model (KAM) to trace how different social practices relate to the implementation of pedagogical innovations in the classroom, through the analysis of more than 40,000 learning designs created within Graasp, an online authoring tool to support inquiry-based learning, used by more than 35,000 teachers. Our results show how different practices of knowledge appropriation, maturation and scaffolding seem to be related, to a varying degree, to teachers' increased classroom implementation of learning designs. Our study also provides insights into how we can use traces from digital co-creation platforms to better understand the social dimension of professional learning, knowledge creation and the adoption of new practices.
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- 2020
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20. Examining the Effects of Privacy-Aware Blended Learning Scenarios in Executive Training for Policymakers and Government Officials
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Gaci, Maria, Farah, Juan Carlos, Vonèche Cardia, Isabelle, Féraud, Geneviève, Gillet, Denis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, and Centea, Dan, editor
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- 2021
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21. Design of Digital Mediation Tool for Self-disclosing PTSD
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Gaci, Maria, Bendahan, Caroline, Cardia, Isabelle Vonèche, Fiori, Marina, Preissmann, Delphine, Gillet, Denis, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ahram, Tareq, editor, Taiar, Redha, editor, Langlois, Karine, editor, and Choplin, Arnaud, editor
- Published
- 2021
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22. The DESI Experiment Part I: Science,Targeting, and Survey Design
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DESI Collaboration, Aghamousa, Amir, Aguilar, Jessica, Ahlen, Steve, Alam, Shadab, Allen, Lori E., Prieto, Carlos Allende, Annis, James, Bailey, Stephen, Balland, Christophe, Ballester, Otger, Baltay, Charles, Beaufore, Lucas, Bebek, Chris, Beers, Timothy C., Bell, Eric F., Bernal, José Luis, Besuner, Robert, Beutler, Florian, Blake, Chris, Bleuler, Hannes, Blomqvist, Michael, Blum, Robert, Bolton, Adam S., Briceno, Cesar, Brooks, David, Brownstein, Joel R., Buckley-Geer, Elizabeth, Burden, Angela, Burtin, Etienne, Busca, Nicolas G., Cahn, Robert N., Cai, Yan-Chuan, Cardiel-Sas, Laia, Carlberg, Raymond G., Carton, Pierre-Henri, Casas, Ricard, Castander, Francisco J., Cervantes-Cota, Jorge L., Claybaugh, Todd M., Close, Madeline, Coker, Carl T., Cole, Shaun, Comparat, Johan, Cooper, Andrew P., Cousinou, M. -C., Crocce, Martin, Cuby, Jean-Gabriel, Cunningham, Daniel P., Davis, Tamara M., Dawson, Kyle S., de la Macorra, Axel, De Vicente, Juan, Delubac, Timothée, Derwent, Mark, Dey, Arjun, Dhungana, Govinda, Ding, Zhejie, Doel, Peter, Duan, Yutong T., Ealet, Anne, Edelstein, Jerry, Eftekharzadeh, Sarah, Eisenstein, Daniel J., Elliott, Ann, Escoffier, Stéphanie, Evatt, Matthew, Fagrelius, Parker, Fan, Xiaohui, Fanning, Kevin, Farahi, Arya, Farihi, Jay, Favole, Ginevra, Feng, Yu, Fernandez, Enrique, Findlay, Joseph R., Finkbeiner, Douglas P., Fitzpatrick, Michael J., Flaugher, Brenna, Flender, Samuel, Font-Ribera, Andreu, Forero-Romero, Jaime E., Fosalba, Pablo, Frenk, Carlos S., Fumagalli, Michele, Gaensicke, Boris T., Gallo, Giuseppe, Garcia-Bellido, Juan, Gaztanaga, Enrique, Fusillo, Nicola Pietro Gentile, Gerard, Terry, Gershkovich, Irena, Giannantonio, Tommaso, Gillet, Denis, Gonzalez-de-Rivera, Guillermo, Gonzalez-Perez, Violeta, Gott, Shelby, Graur, Or, Gutierrez, Gaston, Guy, Julien, Habib, Salman, Heetderks, Henry, Heetderks, Ian, Heitmann, Katrin, Hellwing, Wojciech A., Herrera, David A., Ho, Shirley, Holland, Stephen, Honscheid, Klaus, Huff, Eric, Hutchinson, Timothy A., Huterer, Dragan, Hwang, Ho Seong, Laguna, Joseph Maria Illa, Ishikawa, Yuzo, Jacobs, Dianna, Jeffrey, Niall, Jelinsky, Patrick, Jennings, Elise, Jiang, Linhua, Jimenez, Jorge, Johnson, Jennifer, Joyce, Richard, Jullo, Eric, Juneau, Stéphanie, Kama, Sami, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Kennamer, Noble, Kent, Stephen, Kilbinger, Martin, Kim, Alex G., Kirkby, David, Kisner, Theodore, Kitanidis, Ellie, Kneib, Jean-Paul, Koposov, Sergey, Kovacs, Eve, Koyama, Kazuya, Kremin, Anthony, Kron, Richard, Kronig, Luzius, Kueter-Young, Andrea, Lacey, Cedric G., Lafever, Robin, Lahav, Ofer, Lambert, Andrew, Lampton, Michael, Landriau, Martin, Lang, Dustin, Lauer, Tod R., Goff, Jean-Marc Le, Guillou, Laurent Le, Van Suu, Auguste Le, Lee, Jae Hyeon, Lee, Su-Jeong, Leitner, Daniela, Lesser, Michael, Levi, Michael E., L'Huillier, Benjamin, Li, Baojiu, Liang, Ming, Lin, Huan, Linder, Eric, Loebman, Sarah R., Lukić, Zarija, Ma, Jun, MacCrann, Niall, Magneville, Christophe, Makarem, Laleh, Manera, Marc, Manser, Christopher J., Marshall, Robert, Martini, Paul, Massey, Richard, Matheson, Thomas, McCauley, Jeremy, McDonald, Patrick, McGreer, Ian D., Meisner, Aaron, Metcalfe, Nigel, Miller, Timothy N., Miquel, Ramon, Moustakas, John, Myers, Adam, Naik, Milind, Newman, Jeffrey A., Nichol, Robert C., Nicola, Andrina, da Costa, Luiz Nicolati, Nie, Jundan, Niz, Gustavo, Norberg, Peder, Nord, Brian, Norman, Dara, Nugent, Peter, O'Brien, Thomas, Oh, Minji, Olsen, Knut A. G., Padilla, Cristobal, Padmanabhan, Hamsa, Padmanabhan, Nikhil, Palanque-Delabrouille, Nathalie, Palmese, Antonella, Pappalardo, Daniel, Pâris, Isabelle, Park, Changbom, Patej, Anna, Peacock, John A., Peiris, Hiranya V., Peng, Xiyan, Percival, Will J., Perruchot, Sandrine, Pieri, Matthew M., Pogge, Richard, Pollack, Jennifer E., Poppett, Claire, Prada, Francisco, Prakash, Abhishek, Probst, Ronald G., Rabinowitz, David, Raichoor, Anand, Ree, Chang Hee, Refregier, Alexandre, Regal, Xavier, Reid, Beth, Reil, Kevin, Rezaie, Mehdi, Rockosi, Constance M., Roe, Natalie, Ronayette, Samuel, Roodman, Aaron, Ross, Ashley J., Ross, Nicholas P., Rossi, Graziano, Rozo, Eduardo, Ruhlmann-Kleider, Vanina, Rykoff, Eli S., Sabiu, Cristiano, Samushia, Lado, Sanchez, Eusebio, Sanchez, Javier, Schlegel, David J., Schneider, Michael, Schubnell, Michael, Secroun, Aurélia, Seljak, Uros, Seo, Hee-Jong, Serrano, Santiago, Shafieloo, Arman, Shan, Huanyuan, Sharples, Ray, Sholl, Michael J., Shourt, William V., Silber, Joseph H., Silva, David R., Sirk, Martin M., Slosar, Anze, Smith, Alex, Smoot, George F., Som, Debopam, Song, Yong-Seon, Sprayberry, David, Staten, Ryan, Stefanik, Andy, Tarle, Gregory, Tie, Suk Sien, Tinker, Jeremy L., Tojeiro, Rita, Valdes, Francisco, Valenzuela, Octavio, Valluri, Monica, Vargas-Magana, Mariana, Verde, Licia, Walker, Alistair R., Wang, Jiali, Wang, Yuting, Weaver, Benjamin A., Weaverdyck, Curtis, Wechsler, Risa H., Weinberg, David H., White, Martin, Yang, Qian, Yeche, Christophe, Zhang, Tianmeng, Zhao, Gong-Bo, Zheng, Yi, Zhou, Xu, Zhou, Zhimin, Zhu, Yaling, Zou, Hu, and Zu, Ying
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
DESI (Dark Energy Spectroscopic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations (BAO) and the growth of structure through redshift-space distortions with a wide-area galaxy and quasar redshift survey. To trace the underlying dark matter distribution, spectroscopic targets will be selected in four classes from imaging data. We will measure luminous red galaxies up to $z=1.0$. To probe the Universe out to even higher redshift, DESI will target bright [O II] emission line galaxies up to $z=1.7$. Quasars will be targeted both as direct tracers of the underlying dark matter distribution and, at higher redshifts ($ 2.1 < z < 3.5$), for the Ly-$\alpha$ forest absorption features in their spectra, which will be used to trace the distribution of neutral hydrogen. When moonlight prevents efficient observations of the faint targets of the baseline survey, DESI will conduct a magnitude-limited Bright Galaxy Survey comprising approximately 10 million galaxies with a median $z\approx 0.2$. In total, more than 30 million galaxy and quasar redshifts will be obtained to measure the BAO feature and determine the matter power spectrum, including redshift space distortions.
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- 2016
23. The DESI Experiment Part II: Instrument Design
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DESI Collaboration, Aghamousa, Amir, Aguilar, Jessica, Ahlen, Steve, Alam, Shadab, Allen, Lori E., Prieto, Carlos Allende, Annis, James, Bailey, Stephen, Balland, Christophe, Ballester, Otger, Baltay, Charles, Beaufore, Lucas, Bebek, Chris, Beers, Timothy C., Bell, Eric F., Bernal, José Luis, Besuner, Robert, Beutler, Florian, Blake, Chris, Bleuler, Hannes, Blomqvist, Michael, Blum, Robert, Bolton, Adam S., Briceno, Cesar, Brooks, David, Brownstein, Joel R., Buckley-Geer, Elizabeth, Burden, Angela, Burtin, Etienne, Busca, Nicolas G., Cahn, Robert N., Cai, Yan-Chuan, Cardiel-Sas, Laia, Carlberg, Raymond G., Carton, Pierre-Henri, Casas, Ricard, Castander, Francisco J., Cervantes-Cota, Jorge L., Claybaugh, Todd M., Close, Madeline, Coker, Carl T., Cole, Shaun, Comparat, Johan, Cooper, Andrew P., Cousinou, M. -C., Crocce, Martin, Cuby, Jean-Gabriel, Cunningham, Daniel P., Davis, Tamara M., Dawson, Kyle S., de la Macorra, Axel, De Vicente, Juan, Delubac, Timothée, Derwent, Mark, Dey, Arjun, Dhungana, Govinda, Ding, Zhejie, Doel, Peter, Duan, Yutong T., Ealet, Anne, Edelstein, Jerry, Eftekharzadeh, Sarah, Eisenstein, Daniel J., Elliott, Ann, Escoffier, Stéphanie, Evatt, Matthew, Fagrelius, Parker, Fan, Xiaohui, Fanning, Kevin, Farahi, Arya, Farihi, Jay, Favole, Ginevra, Feng, Yu, Fernandez, Enrique, Findlay, Joseph R., Finkbeiner, Douglas P., Fitzpatrick, Michael J., Flaugher, Brenna, Flender, Samuel, Font-Ribera, Andreu, Forero-Romero, Jaime E., Fosalba, Pablo, Frenk, Carlos S., Fumagalli, Michele, Gaensicke, Boris T., Gallo, Giuseppe, Garcia-Bellido, Juan, Gaztanaga, Enrique, Fusillo, Nicola Pietro Gentile, Gerard, Terry, Gershkovich, Irena, Giannantonio, Tommaso, Gillet, Denis, Gonzalez-de-Rivera, Guillermo, Gonzalez-Perez, Violeta, Gott, Shelby, Graur, Or, Gutierrez, Gaston, Guy, Julien, Habib, Salman, Heetderks, Henry, Heetderks, Ian, Heitmann, Katrin, Hellwing, Wojciech A., Herrera, David A., Ho, Shirley, Holland, Stephen, Honscheid, Klaus, Huff, Eric, Hutchinson, Timothy A., Huterer, Dragan, Hwang, Ho Seong, Laguna, Joseph Maria Illa, Ishikawa, Yuzo, Jacobs, Dianna, Jeffrey, Niall, Jelinsky, Patrick, Jennings, Elise, Jiang, Linhua, Jimenez, Jorge, Johnson, Jennifer, Joyce, Richard, Jullo, Eric, Juneau, Stéphanie, Kama, Sami, Karcher, Armin, Karkar, Sonia, Kehoe, Robert, Kennamer, Noble, Kent, Stephen, Kilbinger, Martin, Kim, Alex G., Kirkby, David, Kisner, Theodore, Kitanidis, Ellie, Kneib, Jean-Paul, Koposov, Sergey, Kovacs, Eve, Koyama, Kazuya, Kremin, Anthony, Kron, Richard, Kronig, Luzius, Kueter-Young, Andrea, Lacey, Cedric G., Lafever, Robin, Lahav, Ofer, Lambert, Andrew, Lampton, Michael, Landriau, Martin, Lang, Dustin, Lauer, Tod R., Goff, Jean-Marc Le, Guillou, Laurent Le, Van Suu, Auguste Le, Lee, Jae Hyeon, Lee, Su-Jeong, Leitner, Daniela, Lesser, Michael, Levi, Michael E., L'Huillier, Benjamin, Li, Baojiu, Liang, Ming, Lin, Huan, Linder, Eric, Loebman, Sarah R., Lukić, Zarija, Ma, Jun, MacCrann, Niall, Magneville, Christophe, Makarem, Laleh, Manera, Marc, Manser, Christopher J., Marshall, Robert, Martini, Paul, Massey, Richard, Matheson, Thomas, McCauley, Jeremy, McDonald, Patrick, McGreer, Ian D., Meisner, Aaron, Metcalfe, Nigel, Miller, Timothy N., Miquel, Ramon, Moustakas, John, Myers, Adam, Naik, Milind, Newman, Jeffrey A., Nichol, Robert C., Nicola, Andrina, da Costa, Luiz Nicolati, Nie, Jundan, Niz, Gustavo, Norberg, Peder, Nord, Brian, Norman, Dara, Nugent, Peter, O'Brien, Thomas, Oh, Minji, Olsen, Knut A. G., Padilla, Cristobal, Padmanabhan, Hamsa, Padmanabhan, Nikhil, Palanque-Delabrouille, Nathalie, Palmese, Antonella, Pappalardo, Daniel, Pâris, Isabelle, Park, Changbom, Patej, Anna, Peacock, John A., Peiris, Hiranya V., Peng, Xiyan, Percival, Will J., Perruchot, Sandrine, Pieri, Matthew M., Pogge, Richard, Pollack, Jennifer E., Poppett, Claire, Prada, Francisco, Prakash, Abhishek, Probst, Ronald G., Rabinowitz, David, Raichoor, Anand, Ree, Chang Hee, Refregier, Alexandre, Regal, Xavier, Reid, Beth, Reil, Kevin, Rezaie, Mehdi, Rockosi, Constance M., Roe, Natalie, Ronayette, Samuel, Roodman, Aaron, Ross, Ashley J., Ross, Nicholas P., Rossi, Graziano, Rozo, Eduardo, Ruhlmann-Kleider, Vanina, Rykoff, Eli S., Sabiu, Cristiano, Samushia, Lado, Sanchez, Eusebio, Sanchez, Javier, Schlegel, David J., Schneider, Michael, Schubnell, Michael, Secroun, Aurélia, Seljak, Uros, Seo, Hee-Jong, Serrano, Santiago, Shafieloo, Arman, Shan, Huanyuan, Sharples, Ray, Sholl, Michael J., Shourt, William V., Silber, Joseph H., Silva, David R., Sirk, Martin M., Slosar, Anze, Smith, Alex, Smoot, George F., Som, Debopam, Song, Yong-Seon, Sprayberry, David, Staten, Ryan, Stefanik, Andy, Tarle, Gregory, Tie, Suk Sien, Tinker, Jeremy L., Tojeiro, Rita, Valdes, Francisco, Valenzuela, Octavio, Valluri, Monica, Vargas-Magana, Mariana, Verde, Licia, Walker, Alistair R., Wang, Jiali, Wang, Yuting, Weaver, Benjamin A., Weaverdyck, Curtis, Wechsler, Risa H., Weinberg, David H., White, Martin, Yang, Qian, Yeche, Christophe, Zhang, Tianmeng, Zhao, Gong-Bo, Zheng, Yi, Zhou, Xu, Zhou, Zhimin, Zhu, Yaling, Zou, Hu, and Zu, Ying
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
DESI (Dark Energy Spectropic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations and the growth of structure through redshift-space distortions with a wide-area galaxy and quasar redshift survey. The DESI instrument is a robotically-actuated, fiber-fed spectrograph capable of taking up to 5,000 simultaneous spectra over a wavelength range from 360 nm to 980 nm. The fibers feed ten three-arm spectrographs with resolution $R= \lambda/\Delta\lambda$ between 2000 and 5500, depending on wavelength. The DESI instrument will be used to conduct a five-year survey designed to cover 14,000 deg$^2$. This powerful instrument will be installed at prime focus on the 4-m Mayall telescope in Kitt Peak, Arizona, along with a new optical corrector, which will provide a three-degree diameter field of view. The DESI collaboration will also deliver a spectroscopic pipeline and data management system to reduce and archive all data for eventual public use.
- Published
- 2016
24. Instruction, Student Engagement, and Learning Outcomes: A Case Study Using Anonymous Social Media in a Face-to-Face Classroom
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Rodriguez-Triana, Maria Jesus, Prieto, Luis P., Holzer, Adrian, and Gillet, Denis
- Abstract
With the wide availability of mobile devices and the growing interest in social media, numerous applications have emerged to support student engagement in the classroom. There is conflicting evidence, however, on whether the engagement benefits of such applications outweigh their potential cost as a source of disaffection. To investigate these issues, this article presents a case study on the usage of a social media app (SpeakUp) during a semester-long face-to-face university course, and its relations with the context and the learning outcomes. In this mixed-methods study, we gathered data from multiple sources (video recordings of the lessons, SpeakUp logs and messages, student questionnaires, and course assessments) in order to extract self-reported and observable behavioral and emotional indicators. Our findings reveal that simple measures of behavioral engagement were insufficient to predict academic performance. Nevertheless, our models significantly improved using relatively simple and unobtrusive indicators of both behavioral and emotional engagement and disaffection. This article also indicates that the mere introduction of social media in educational settings does not guarantee a positive impact on learning. To promote an effective use of social media in the classroom (raising engagement while avoiding disaffection), teachers need to design the learning activities aligning the use of social media with the learning goals.
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- 2020
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25. Self-Organized Laboratories for Smart Campus
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Celdran, Alberto Huertas, Clemente, Felix J. Garcia, Saenz, Jacobo, de la Torre, Luis, Salzmann, Christophe, and Gillet, Denis
- Abstract
A smart campus provides students who are geographically scattered with online tools to get access to learning resources and laboratories. Although these remote laboratories have the potential and capabilities to implement different learning experiments, most of them are configured in a static fashion, being able to serve only one experiment for a given period of time. This lack of adaptability and flexibility causes long waiting queues of students in certain overloaded remote laboratories, while others are underused. To overcome this limitation, a smart campus can incorporate new techniques and paradigms such as Network function virtualization (NFV) and Software-defined networking (SDN), which are rapidly modifying current cloud services and applications to provide autonomous and adaptive solutions. In this context, the main contribution of this paper is an SDN/NFV-based architecture with autonomic capabilities to adapt to the remote laboratories configuration according to the end-user demand. The proposed architecture will be able to optimize computing resources to ensure the users' quality of service in a smart campus with remote laboratories. A use case with a remote laboratory, based on the control of a servo motor, shows how our solution can dynamically change the lab service under specific circumstances. Finally, experiments using diverse configurations and service descriptions show the performance and suitability of the proposal.
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- 2020
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26. Understanding teacher design practices for digital inquiry–based science learning: the case of Go-Lab
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de Jong, Ton, Gillet, Denis, Rodríguez-Triana, María Jesús, Hovardas, Tasos, Dikke, Diana, Doran, Rosa, Dziabenko, Olga, Koslowsky, Jens, Korventausta, Miikka, Law, Effie, Pedaste, Margus, Tasiopoulou, Evita, Vidal, Gérard, and Zacharia, Zacharias C.
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- 2021
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27. The DESI Experiment Part I: Science,Targeting, and Survey Design
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Collaboration, DESI, Aghamousa, Amir, Aguilar, Jessica, Ahlen, Steve, Alam, Shadab, Allen, Lori E, Prieto, Carlos Allende, Annis, James, Bailey, Stephen, Balland, Christophe, Ballester, Otger, Baltay, Charles, Beaufore, Lucas, Bebek, Chris, Beers, Timothy C, Bell, Eric F, Bernal, José Luis, Besuner, Robert, Beutler, Florian, Blake, Chris, Bleuler, Hannes, Blomqvist, Michael, Blum, Robert, Bolton, Adam S, Briceno, Cesar, Brooks, David, Brownstein, Joel R, Buckley-Geer, Elizabeth, Burden, Angela, Burtin, Etienne, Busca, Nicolas G, Cahn, Robert N, Cai, Yan-Chuan, Cardiel-Sas, Laia, Carlberg, Raymond G, Carton, Pierre-Henri, Casas, Ricard, Castander, Francisco J, Cervantes-Cota, Jorge L, Claybaugh, Todd M, Close, Madeline, Coker, Carl T, Cole, Shaun, Comparat, Johan, Cooper, Andrew P, Cousinou, M-C, Crocce, Martin, Cuby, Jean-Gabriel, Cunningham, Daniel P, Davis, Tamara M, Dawson, Kyle S, Macorra, Axel de la, Vicente, Juan De, Delubac, Timothée, Derwent, Mark, Dey, Arjun, Dhungana, Govinda, Ding, Zhejie, Doel, Peter, Duan, Yutong T, Ealet, Anne, Edelstein, Jerry, Eftekharzadeh, Sarah, Eisenstein, Daniel J, Elliott, Ann, Escoffier, Stéphanie, Evatt, Matthew, Fagrelius, Parker, Fan, Xiaohui, Fanning, Kevin, Farahi, Arya, Farihi, Jay, Favole, Ginevra, Feng, Yu, Fernandez, Enrique, Findlay, Joseph R, Finkbeiner, Douglas P, Fitzpatrick, Michael J, Flaugher, Brenna, Flender, Samuel, Font-Ribera, Andreu, Forero-Romero, Jaime E, Fosalba, Pablo, Frenk, Carlos S, Fumagalli, Michele, Gaensicke, Boris T, Gallo, Giuseppe, Garcia-Bellido, Juan, Gaztanaga, Enrique, Fusillo, Nicola Pietro Gentile, Gerard, Terry, Gershkovich, Irena, Giannantonio, Tommaso, Gillet, Denis, Gonzalez-de-Rivera, Guillermo, Gonzalez-Perez, Violeta, Gott, Shelby, Graur, Or, Gutierrez, Gaston, and Guy, Julien
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astro-ph.IM ,astro-ph.CO - Abstract
DESI (Dark Energy Spectroscopic Instrument) is a Stage IV ground-based darkenergy experiment that will study baryon acoustic oscillations (BAO) and thegrowth of structure through redshift-space distortions with a wide-area galaxyand quasar redshift survey. To trace the underlying dark matter distribution,spectroscopic targets will be selected in four classes from imaging data. Wewill measure luminous red galaxies up to $z=1.0$. To probe the Universe out toeven higher redshift, DESI will target bright [O II] emission line galaxies upto $z=1.7$. Quasars will be targeted both as direct tracers of the underlyingdark matter distribution and, at higher redshifts ($ 2.1 < z < 3.5$), for theLy-$\alpha$ forest absorption features in their spectra, which will be used totrace the distribution of neutral hydrogen. When moonlight prevents efficientobservations of the faint targets of the baseline survey, DESI will conduct amagnitude-limited Bright Galaxy Survey comprising approximately 10 milliongalaxies with a median $z\approx 0.2$. In total, more than 30 million galaxyand quasar redshifts will be obtained to measure the BAO feature and determinethe matter power spectrum, including redshift space distortions.
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- 2016
28. The DESI Experiment Part II: Instrument Design
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Collaboration, DESI, Aghamousa, Amir, Aguilar, Jessica, Ahlen, Steve, Alam, Shadab, Allen, Lori E, Prieto, Carlos Allende, Annis, James, Bailey, Stephen, Balland, Christophe, Ballester, Otger, Baltay, Charles, Beaufore, Lucas, Bebek, Chris, Beers, Timothy C, Bell, Eric F, Bernal, José Luis, Besuner, Robert, Beutler, Florian, Blake, Chris, Bleuler, Hannes, Blomqvist, Michael, Blum, Robert, Bolton, Adam S, Briceno, Cesar, Brooks, David, Brownstein, Joel R, Buckley-Geer, Elizabeth, Burden, Angela, Burtin, Etienne, Busca, Nicolas G, Cahn, Robert N, Cai, Yan-Chuan, Cardiel-Sas, Laia, Carlberg, Raymond G, Carton, Pierre-Henri, Casas, Ricard, Castander, Francisco J, Cervantes-Cota, Jorge L, Claybaugh, Todd M, Close, Madeline, Coker, Carl T, Cole, Shaun, Comparat, Johan, Cooper, Andrew P, Cousinou, M-C, Crocce, Martin, Cuby, Jean-Gabriel, Cunningham, Daniel P, Davis, Tamara M, Dawson, Kyle S, Macorra, Axel de la, Vicente, Juan De, Delubac, Timothée, Derwent, Mark, Dey, Arjun, Dhungana, Govinda, Ding, Zhejie, Doel, Peter, Duan, Yutong T, Ealet, Anne, Edelstein, Jerry, Eftekharzadeh, Sarah, Eisenstein, Daniel J, Elliott, Ann, Escoffier, Stéphanie, Evatt, Matthew, Fagrelius, Parker, Fan, Xiaohui, Fanning, Kevin, Farahi, Arya, Farihi, Jay, Favole, Ginevra, Feng, Yu, Fernandez, Enrique, Findlay, Joseph R, Finkbeiner, Douglas P, Fitzpatrick, Michael J, Flaugher, Brenna, Flender, Samuel, Font-Ribera, Andreu, Forero-Romero, Jaime E, Fosalba, Pablo, Frenk, Carlos S, Fumagalli, Michele, Gaensicke, Boris T, Gallo, Giuseppe, Garcia-Bellido, Juan, Gaztanaga, Enrique, Fusillo, Nicola Pietro Gentile, Gerard, Terry, Gershkovich, Irena, Giannantonio, Tommaso, Gillet, Denis, Gonzalez-de-Rivera, Guillermo, Gonzalez-Perez, Violeta, Gott, Shelby, Graur, Or, Gutierrez, Gaston, and Guy, Julien
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astro-ph.IM ,astro-ph.CO - Abstract
DESI (Dark Energy Spectropic Instrument) is a Stage IV ground-based darkenergy experiment that will study baryon acoustic oscillations and the growthof structure through redshift-space distortions with a wide-area galaxy andquasar redshift survey. The DESI instrument is a robotically-actuated,fiber-fed spectrograph capable of taking up to 5,000 simultaneous spectra overa wavelength range from 360 nm to 980 nm. The fibers feed ten three-armspectrographs with resolution $R= \lambda/\Delta\lambda$ between 2000 and 5500,depending on wavelength. The DESI instrument will be used to conduct afive-year survey designed to cover 14,000 deg$^2$. This powerful instrumentwill be installed at prime focus on the 4-m Mayall telescope in Kitt Peak,Arizona, along with a new optical corrector, which will provide a three-degreediameter field of view. The DESI collaboration will also deliver aspectroscopic pipeline and data management system to reduce and archive alldata for eventual public use.
- Published
- 2016
29. Collision-free motion planning for fiber positioner robots: discretization of velocity profiles
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Makarem, Laleh, Kneib, Jean-Paul, Gillet, Denis, Bleuler, Hannes, Bouri, Mohamed, Hörler, Philipp, Jenni, Laurent, Prada, Francisco, and Sanchez, Justo
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The next generation of large-scale spectroscopic survey experiments such as DESI, will use thousands of fiber positioner robots packed on a focal plate. In order to maximize the observing time with this robotic system we need to move in parallel the fiber-ends of all positioners from the previous to the next target coordinates. Direct trajectories are not feasible due to collision risks that could undeniably damage the robots and impact the survey operation and performance. We have previously developed a motion planning method based on a novel decentralized navigation function for collision-free coordination of fiber positioners. The navigation function takes into account the configuration of positioners as well as their envelope constraints. The motion planning scheme has linear complexity and short motion duration (~2.5 seconds with the maximum speed of 30 rpm for the positioner), which is independent of the number of positioners. These two key advantages of the decentralization designate the method as a promising solution for the collision-free motion-planning problem in the next-generation of fiber-fed spectrographs. In a framework where a centralized computer communicates with the positioner robots, communication overhead can be reduced significantly by using velocity profiles consisting of a few bits only. We present here the discretization of velocity profiles to ensure the feasibility of a real-time coordination for a large number of positioners. The modified motion planning method that generates piecewise linearized position profiles guarantees collision-free trajectories for all the robots. The velocity profiles fit few bits at the expense of higher computational costs., Comment: SPIE Astronomical Telescopes + Instrumentation 2014 in Montr\'eal, Quebec, Canada. arXiv admin note: substantial text overlap with arXiv:1312.1644
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- 2014
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30. Developing Micro DC-Brushless Motor Driver and Position Control for Fiber Positioners
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Jenni, Laurent, Hörler, Philipp, Makarem, Laleh, Kneib, Jean-Paul, Gillet, Denis, Bleuler, Hannes, Bouri, Mohamed, Prada, Francisco, De Rivera, Guillermo, and Sanchez, Justo
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
In the large-scale, Dark Energy Spectroscopic Instrument (DESI), thousands of fiber positioners will be used. Those are robotic positioners, with two axis, and having the size of a pen. They are tightly packed on the focal plane of the telescope. Dedicated micro-robots have been developed and they use 4mm brushless DC motors. To simplify the implementation and reduce the space occupancy, each actuator will integrate its own electronic control board. This board will be used to communicate with the central trajectory generator, manage low level control tasks and motor current feeding. In this context, we present a solution for a highly compact electronic. This electronic is composed of two layers. The first is the power stage that can drive simultaneously two brushless motors. The second one consists of a fast microcontroller and deals with different control tasks: communication, acquisition of the hall sensor signals, commutation of the motors phases, and performing position and current regulation. A set of diagnostic functions are also implemented to detect failure in the motors or the sensors, and to sense abnormal load change that may be the result of two robots colliding., Comment: 7 pages, 10 figures, SPIE Digital Library
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- 2014
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31. Interactive Lab Experimentation and Simulation Tools for Remote Laboratories
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Moghaddam, Fariba, primary, Gillet, Denis, additional, Vaccari, Aldo, additional, Salzmann, Christophe, additional, and Piguet, Yves, additional
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- 2021
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32. Experimental evaluation of complete safe coordination of astrobots for Sloan Digital Sky Survey V
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Macktoobian, Matin, Araújo, Ricardo, Grossen, Loïc, Kronig, Luzius, Bouri, Mohamed, Gillet, Denis, and Kneib, Jean-Paul
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- 2021
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33. Social practices in teacher knowledge creation and innovation adoption: a large-scale study in an online instructional design community for inquiry learning
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Rodríguez-Triana, María Jesús, Prieto, Luis P., Ley, Tobias, de Jong, Ton, and Gillet, Denis
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- 2020
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34. Collision Avoidance in Next-generation Fiber Positioner Robotic System for Large Survey Spectrograph
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Makarem, Laleh, Kneib, Jean-Paul, Gillet, Denis, Bleuler, Hannes, Bouri, Mohamed, Jenni, Laurent, Prada, Francisco, and Sanchez, Justo
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
Some of the next generation massive spectroscopic survey projects, such as DESI and PFS, plan to use thousands of fiber positioner robots packed at a focal plane to quickly move in parallel the fiber-ends from the previous to the next target points. The most direct trajectories are prone to collision that could damage the robots and impact the survey operation. We thus present here a motion planning method based on a novel decentralized navigation function for collision-free coordination of fiber positioners. The navigation function takes into account the configuration of positioners as well as the actuator constraints. We provide details for the proof of convergence and collision avoidance. Decentralization results in linear complexity for the motion planning as well as dependency of motion duration with respect to the number of positioners. Therefore the coordination method is scalable for large-scale spectrograph robots. The short in-motion duration of positioner robots (~2.5 seconds using typical actuator constraints), will thus allow the time dedicated for observation to be maximized.
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- 2013
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35. A Comparative Study of Collision Avoidance Algorithms for Unmanned Aerial Vehicles: Performance and Robustness to Noise
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Roelofsen, Steven, Gillet, Denis, Martinoli, Alcherio, Siciliano, Bruno, Series Editor, Khatib, Oussama, Series Editor, Antonelli, Gianluca, Advisory Editor, Fox, Dieter, Advisory Editor, Harada, Kensuke, Advisory Editor, Hsieh, M. Ani, Advisory Editor, Kröger, Torsten, Advisory Editor, Kulic, Dana, Advisory Editor, Park, Jaeheung, Advisory Editor, Groß, Roderich, editor, Kolling, Andreas, editor, Berman, Spring, editor, Frazzoli, Emilio, editor, Martinoli, Alcherio, editor, Matsuno, Fumitoshi, editor, and Gauci, Melvin, editor
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- 2018
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36. Standardization Layers for Remote Laboratories as Services and Open Educational Resources
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Halimi, Wissam, Salzmann, Christophe, Gillet, Denis, Saliah-Hassane, Hamadou, Kacprzyk, Janusz, Series editor, Auer, Michael E., editor, and Zutin, Danilo G., editor
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- 2018
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37. Enabling the Automatic Generation of User Interfaces for Remote Laboratories
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Halimi, Wissam, Salzmann, Christophe, Jamkojian, Hagop, Gillet, Denis, Kacprzyk, Janusz, Series editor, Auer, Michael E., editor, and Zutin, Danilo G., editor
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- 2018
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38. Collecting Experience Data from Remotely Hosted Learning Applications
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García Clemente, Félix J., de la Torre, Luis, Dormido, Sebastián, Salzmann, Christophe, Gillet, Denis, Kacprzyk, Janusz, Series editor, Auer, Michael E., editor, and Zutin, Danilo G., editor
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- 2018
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39. An Activity Tracking Infrastructure for Embedded Open Educational Labs Supporting the Needs of Lab Owners and Students
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Halimi, Wissam, Salzmann, Christophe, Gillet, Denis, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Auer, Michael E., editor, Guralnick, David, editor, and Simonics, Istvan, editor
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- 2018
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40. Deploying Large-Scale Online Labs with Smart Devices
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Salzmann, Christophe, Halimi, Wissam, Gillet, Denis, Govaerts, Sten, Auer, Michael E., editor, Azad, Abul K.M., editor, Edwards, Arthur, editor, and de Jong, Ton, editor
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- 2018
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41. Blending Digital and Face-to-Face Interaction Using a Co-Located Social Media App in Class
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Govaerts, Sten, Holzer, Adrian, Kocher, Bruno, Vozniuk, Andrii, Garbinato, Benoit, and Gillet, Denis
- Abstract
Improving face-to-face (f2f) interaction in large classrooms is a challenging task as student participation can be hard to initiate. Thanks to the wide adoption of personal mobile devices, it is possible to blend digital and face-to-face interaction and integrate co-located social media applications in the classroom. To better understand how such applications can interweave digital and f2f interaction, we performed a detailed analysis of real-world use cases of a particular co-located social media app: SpeakUp. In a nutshell, SpeakUp allows the creation of temporary location-bound chat rooms that are accessible by nearby users who can post and rate messages anonymously. We find that the use of co-located social media is associated with an increase in content-related interaction in the class. Furthermore, it is associated with an increase in the perceived learning outcomes of students compared to a control group. We further provide design guidelines to blend digital and f2f interaction using co-located social media in the classroom based on 11 case studies covering over 2,000 students.
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- 2018
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42. Using educational data from teaching and learning to inform teachers’ reflective educational design in inquiry-based STEM education
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Sergis, Stylianos, Sampson, Demetrios G., Rodríguez-Triana, María Jesús, Gillet, Denis, Pelliccione, Lina, and de Jong, Ton
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- 2019
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43. New Tools for MOOC/MOOL to Sustain Continuity of Experimentation in Control
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Salzmann, Christophe, Piguet, Yves, and Gillet, Denis
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- 2019
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44. Supervisory Coordination of Robotic Fiber Positioners in Multi-Object Spectrographs
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Macktoobian, Matin, Gillet, Denis, and Kneib, Jean-Paul
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- 2019
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45. Shock-Induced Polarized Hydrogen Emission Lines in the Mira Star omicron Ceti
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Fabas, Nicolas, Lèbre, Agnès, and Gillet, Denis
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Astrophysics - Solar and Stellar Astrophysics - Abstract
In the spectra of pulsating stars, especially Mira stars, the detection of intense hydrogen emission lines has been explained by a radiative shock wave, periodically propagating throughout the atmosphere. Previous observation of the Mira star omicron Ceti around a bright maximum of light led to the detection of a strong linear polarization associated to Balmer emissions, although the origin of this phenomenon is not fully explained yet. With the help of spectropolarimetry, we propose to investigate the nature of shock waves propagating throughout the stellar atmosphere and present, for omicron Ceti (the prototype of Mira stars), a full observational study of hydrogen emission lines formed in the radiative region of such a shock. Using the instrument NARVAL, we performed a spectropolarimetric monitoring of omicron Ceti during three consecutive pulsation cycles. All Stokes parameters were systematically collected, with a particular emphasis on the maxima of luminosity, i.e. when a radiative shock wave is supposed to emerge from the photosphere and propagate outward. On Balmer lines, over a large part of the luminosity cycle, we report detections in Stokes spectra which are evolving with time. These signatures appear to be strongly correlated to the presence of an intense shock wave responsible for the hydrogen emission lines. We establish that those lines are polarized by a process inherent to the mechanism responsible for the emission line formation: the shock wave itself. Two mechanisms are considered: a global one that implies a polarization induced by convective cells located around the photosphere and a local one that implies a charge separation due to the passage of the shock wave, inducing an electrical current. Combined with the existing turbulence, this may generate a magnetic field, hence polarization., Comment: 11 pages, 9 figures; Astronomy and Astrophysics 2011, preprint online
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- 2011
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46. Using Video Streaming Feeds to Encourage Informal Learning
- Author
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Islambouli, Rania, primary, Ingram, Sandy, additional, Cardia, Isabelle Vonèche, additional, and Gillet, Denis, additional
- Published
- 2023
- Full Text
- View/download PDF
47. Design of Digital Mediation Tool for Self-disclosing PTSD
- Author
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Gaci, Maria, primary, Bendahan, Caroline, additional, Cardia, Isabelle Vonèche, additional, Fiori, Marina, additional, Preissmann, Delphine, additional, and Gillet, Denis, additional
- Published
- 2020
- Full Text
- View/download PDF
48. Next Steps in Supporting More Students in MOOL for Control Education
- Author
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Salzmann, Christophe and Gillet, Denis
- Published
- 2018
- Full Text
- View/download PDF
49. Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research
- Author
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Schwendimann, Beat A., Rodriguez-Triana, Maria Jesus, Vozniuk, Andrii, Prieto, Luis P., Boroujeni, Mina Shirvani, Holzer, Adrian, Gillet, Denis, and Dillenbourg, Pierre
- Abstract
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning dashboards are becoming popular due to the increased use of educational technologies, such as Learning Management Systems (LMS) and Massive Open Online Courses (MOOCs). The initial search of five main academic databases and GScholar resulted in 346 papers out of which 55 papers were included in the final analysis. Our review distinguishes different kinds of research studies as well as various aspects of learning dashboards and their maturity regarding evaluation. As the research field is still relatively young, most studies are exploratory and proof-of-concept. The review concludes by offering a definition for learning dashboards and by outlining open issues and future lines of work in the area of learning dashboards. There is a need for longitudinal research in authentic settings and studies that systematically compare different dashboard designs.
- Published
- 2017
- Full Text
- View/download PDF
50. Supporting Well-Being: A Digital Intervention Model for Disclosing Sexual Harassment in Higher Education
- Author
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VonÈChe-Cardia, Isabelle, primary and Gillet, Denis, additional
- Published
- 2023
- Full Text
- View/download PDF
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