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Ma. Guadalupe Díaz de León-López, María de Lourdes Velázquez-Sánchez, Silvia Sánchez-Madrid and José Manuel Olais-Govea
Using a questionnaire applied in real time to students in stages 14?16 during a distance class, the authors appraise whether they experience feelings that lead to a central experience of flow, according to the flow theory of positive psychology. Students...
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Hairulliza Mohamad Judi,Zanaton H Iksan,Noraidah Sahari Ashaari
The contribution of data analytics to scientific knowledge and better informed society is widely recognized but there are challenges in the traditional curriculum including the need to incorporate more meaningful computational and graphical tools and to ...
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Stylianos Mystakidis, Eleni Berki and Juri-Petri Valtanen
Deep and meaningful learning (DML) in distant education should be an essential outcome of quality education. In this literature review, we focus on e-learning effectiveness along with the factors and conditions leading to DML when using social virtual re...
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Hajar Filali, Jamal Riffi, Chafik Boulealam, Mohamed Adnane Mahraz and Hamid Tairi
Emotion recognition has become one of the most researched subjects in the scientific community, especially in the human?computer interface field. Decades of scientific research have been conducted on unimodal emotion analysis, whereas recent contribution...
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Julieta Noguez, Luis Neri, Víctor Robledo-Rella, Rosa María Guadalupe García-Castelán, Andres Gonzalez-Nucamendi, David Escobar-Castillejos and Arturo Molina
Education 4.0 demands a flexible combination of digital literacy, critical thinking, and problem-solving in educational settings linked to real-world scenarios. Haptic technology incorporates the sense of touch into a visual simulator to enrich the user?...
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Francisco Delgado
The COVID-19 pandemic has modified and diversified the ways that students receive education. During confinements, complex courses integrating previous knowledge must be carefully designed and implemented to effectively replace the elements present in fac...
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Ika Lestari,Arifin Maksum,Cecep Kustandi
Pág. pp. 152 - 171
In facing the industrial era 4.0, the instructional paradigm requires the involvement of technology in it. The use of technology in instructional is sometimes regarded as a medium or tool for delivering information through technology from lecturers to st...
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Wietske Medema, Alison Furber, Jan Adamowski, Qiqi Zhou and Igor Mayer
The meaningful participation of stakeholders in decision-making is now widely recognized as a crucial element of effective water resource management, particularly with regards to adapting to climate and environmental change. Social learning is increasing...
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Wietske Medema, Alison Furber, Jan Adamowski, Qiqi Zhou, Igor Mayer
Pág. 1 - 24
The meaningful participation of stakeholders in decision-making is now widely recognized as a crucial element of effective water resource management, particularly with regards to adapting to climate and environmental change. Social learning is increasing...
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Dominik May,Philipp Ossenberg
Pág. pp. 56 - 63
The meaningful use of mobile devices in higher education learning contexts is still underrepresented at German universities. Even if these ?new? technologies open up totally new teaching and learning experiences the current use is strongly dominated by s...
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Hameed AlQaheri and Mrutyunjaya Panda
This paper focuses on the study of automated process discovery using the Inductive visual Miner (IvM) and Directly Follows visual Miner (DFvM) algorithms to produce a valid process model for educational process mining in order to understand and predict t...
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Paola Dolores Ordoñez Rodriguez, Fundación universitaria Unicafam, Colombia
Pág. 218 - 226
Esta investigación tiene como finalidad proponer estrategias pedagógicas que faciliten el aprendizaje autónomo y significativo que propone el modelo pedagógico de la fundación universitaria Cafam, en la unidad de aprendizaje de probabilidad (Modelamiento...
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Jae Yun Lee, Young Geun Yoon, Tae Keun Oh, Seunghee Park and Sang Il Ryu
In the construction industry, it is difficult to predict occupational accidents because various accident characteristics arise simultaneously and organically in different types of work. Furthermore, even when analyzing occupational accident data, it is d...
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Masaki Hosomi, Saddam Khalid and Tomoki Sekiguchi
This research aimed to investigate Japanese university students? entrepreneurial development processes using the happenstance learning theory. The current research was an empirical study investigating the role of risk propensity, lifetime employment orie...
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Urve Venesaar, Elina Malleus, Grete Arro and Martin Toding
The development of entrepreneurship competence considering a broad view of entrepreneurship requires a systematic approach to determine the validated content of learning and methodological basis for supporting learners? entrepreneurial attitudes and beha...
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Xiongfeng Yan and Min Yang
The shape encoding of geospatial objects is a key problem in the fields of cartography and geoscience. Although traditional geometric-based methods have made great progress, deep learning techniques offer a development opportunity for this classical prob...
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Janith Kodithuwakku, Dilki Dandeniya Arachchi and Jay Rajasekera
It is not an easy task for organizers to observe the engagement level of a video meeting audience. This research was conducted to build an intelligent system to enhance the experience of video conversations such as virtual meetings and online classrooms ...
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Petros Lameras and Sylvester Arnab
This exploratory review attempted to gather evidence from the literature by shedding light on the emerging phenomenon of conceptualising the impact of artificial intelligence in education. The review utilised the PRISMA framework to review the analysis a...
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Gabriel Dahia and Maurício Pamplona Segundo
We propose a method that can perform one-class classification given only a small number of examples from the target class and none from the others. We formulate the learning of meaningful features for one-class classification as a meta-learning problem i...
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Mevlut Uzun, Mustafa Umut Demirezen and Gokhan Inalhan
This paper presents a physics-guided deep neural network framework to estimate fuel consumption of an aircraft. The framework aims to improve data-driven models? consistency in flight regimes that are not covered by data. In particular, we guide the neur...
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