Article
Robotics
Benjamin Riviere, Wolfgang Honig, Matthew Anderson, Soon-Jo Chung
Summary: This study introduces a Neural Tree Expansion (NTE) method for multi-robot online planning, which adapts the AlphaZero method to a decentralized, partial information, continuous action space setting in order to achieve coordination between robots and demonstrate computational advantages in experiments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Energy & Fuels
Qingzhu Wan, Shuai Zheng
Summary: A distributed cooperative secondary control strategy is proposed in this paper to overcome the drawbacks of bus voltage deviation and current sharing accuracy degradation caused by conventional v-i droop control in the primary control of a DC microgrid. The strategy utilizes discrete consensus and data exchange among converters to dynamically track the output voltage and current, while introducing a consistency gain function to reduce the impact of communication noise on control accuracy.
Article
Education & Educational Research
Marni Manegre, Mar Gutierrez-Colon
Summary: This research explores the use of English as a lingua franca in knowledge forums to facilitate foreign language learning. The study analyzes collaborative writing tasks in these forums among Catalan students and collects qualitative and quantitative data to examine evidence of language learning. The results show an overall improvement in foreign language performance, particularly in comprehension and writing abilities.
INTERACTIVE LEARNING ENVIRONMENTS
(2023)
Article
Engineering, Multidisciplinary
Jiani Li, Weihan Wang, Waseem Abbas, Xenofon Koutsoukos
Summary: This article introduces a clustering multi-task learning method in distributed learning, which enables better collaboration among agents and improves learning performance. The article proposes an adaptive clustering method and validates its effectiveness through theoretical analysis and evaluation experiments.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Si Zhang, Qianqian Gao, Mengyu Sun, Zhihui Cai, Honghui Li, Yanling Tang, Qingtang Liu
Summary: This study used Epistemic Network Analysis (ENA) to explore the collaborative problem solving processes of student teachers in different online collaborative learning tasks. The results showed that high and low academic performance groups displayed different behaviors and strategies during the collaborative problem solving process.
COMPUTERS & EDUCATION
(2022)
Article
Computer Science, Hardware & Architecture
Hongjian Shi, Ruhui Ma, Dongmei Li, Haibing Guan
Summary: This article proposes a distributed learning framework for customized cloud services in 6G mobile systems, which dynamically adjusts the collaborative training process to improve training efficiency and resource utilization.
Article
Computer Science, Information Systems
Nina Slamnik-Krijestorac, Girma M. Yilma, Marco Liebsch, F. Zarrar Yousaf, Johann M. Marquez-Barja
Summary: The paper investigates a solution for the collaborative orchestration of services for Connected, Cooperative and Automated Mobility (CCAM) within the 5G ecosystem. It proposes a multi-tier orchestration system and localized management for collaborative edge resources to achieve service continuity in a highly dynamic automotive scenario.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Education & Educational Research
Erhan Unal, Hasan Cakir
Summary: This study found that using web 2.0 technologies supported collaborative problem solving method has a significant impact on students' achievement and engagement, particularly in terms of active learning and collaborative learning. Therefore, this teaching method has positive educational effects.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Article
Education & Educational Research
Brenda Such
Summary: This qualitative study explores how post-secondary English language learners work in groups to complete online writing assignments using wikis. Despite receiving support in collaboration and English writing, learners faced challenges in participation through collaboration and focused more on negotiating meaning than on spelling and grammar.
INTERACTIVE LEARNING ENVIRONMENTS
(2021)
Article
Education & Educational Research
Norah Mansour Almusharraf, Daniel Bailey
Summary: The study found that in EFL video-conferencing courses, agentic engagement plays a significant mediating role in academic learning expectations, with collaborative language learning orientations predicting academic learning expectations, but this relationship is fully mediated when agentic engagement is added. Students with a propensity for social language learning strategies succeed by interacting with instructors and a variety of learning activities should be provided to support different learning orientations for academic success. Students with collaborative learning tendencies who actively engage instructors during video-conference classes are active participants in the eLearning setting, potentially leading to positive course expectations.
JOURNAL OF COMPUTER ASSISTED LEARNING
(2021)
Article
Education & Educational Research
Tycho T. De Back, Angelica M. Tinga, Max M. Louwerse
Summary: This paper provides recommendations for designing immersive educational settings, covering strategies to optimize cognitive load, foster collaborative learning, leverage platform-specific affordances, mitigate platform-specific limitations, and obtain additional benefits. These recommendations are illustrated using a collaborative virtual reality environment that has shown to yield learning gains.
INTERACTIVE LEARNING ENVIRONMENTS
(2021)
Article
Computer Science, Artificial Intelligence
Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan
Summary: In this article, a dual-neural network driven learning approach is proposed to tackle the challenges of sample inefficiency and slow learning in deep reinforcement learning (DRL) settings. By using two deep neural networks with independent initialization, the approach robustly approximates the action-value function. A temporal difference error-driven learning approach is developed to directly update the parameters of each layer in the deep neural network. The proposed methods are shown to enable faster learning and convergence, as well as requiring reduced buffer size, through simulation analysis.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Information Systems
Yuehua Wang, Shulan Lu, Derek Harter
Summary: The current pandemic has significantly impacted educational practices, leading to the importance of remote learning and digital platforms. However, students are facing challenges in learning and performance due to the sudden shift to online teaching and e-learning.
Article
Education & Educational Research
J. O'Rourke, C. Kueh, C. Holly, L. Brook, C. Erickson
Summary: The complexities of including students with autism in Australian schools have led to an increased need for collaboration. Researchers used a co-design process to develop a prototype digital solution to support students with autism, and found that involving diverse stakeholders in the process generated creative and flexible people-based solutions.
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
(2023)
Article
Energy & Fuels
Tianhao Wang, Shiqian Ma, Na Xu, Tianchun Xiang, Xiaoyun Han, Chaoxu Mu, Yao Jin
Summary: A new voltage cooperative control strategy for a distributed power generation system is proposed in this paper based on the multi-agent advantage actor-critic (MA2C) algorithm. The introduction of the attention mechanism allows for flexible management and effective control of distributed energy.
Article
Education & Educational Research
Maria Aristeidou, Simon Cross
Summary: The study found that during the Covid-19 pandemic, 36% of distance learning students at The Open University in the UK experienced negative impacts on their study activities, mainly due to difficulties in managing workload and limited interactions with other students. Other factors such as socioeconomic background, study level, personal health, also play a role in influencing students' study habits.
Article
Education & Educational Research
Simon Cross, Freda Wolfenden, Lina Adinolfi
Summary: 360-degree video combined with virtual reality has potential for teacher education, but current research is limited to high-income contexts. This study identifies key features and conducts a pilot in rural India to extend the evidence in low-resource settings.
TEACHING AND TEACHER EDUCATION
(2022)
Proceedings Paper
Education & Educational Research
Maria Aristeidou, Simon Cross
Summary: This study explores the impact of Covid-19 disruption on learning activities of distance learning students, with female students and certain background characteristics showing a tendency to engage less in activities. Findings suggest a need for further research to understand student engagement during emergencies like the Covid-19 pandemic.
7TH INTERNATIONAL CONFERENCE ON HIGHER EDUCATION ADVANCES (HEAD'21)
(2021)
Proceedings Paper
Education & Educational Research
Simon Cross
PROCEEDINGS OF THE 18TH EUROPEAN CONFERENCE ON E-LEARNING (ECEL 2019)
(2019)
Article
Education & Educational Research
Simon Cross, Mike Sharples, Graham Healing, Jim Ellis
INTERNATIONAL REVIEW OF RESEARCH IN OPEN AND DISTRIBUTED LEARNING
(2019)
Review
Education & Educational Research
Jekaterina Rogaten, Bart Rienties, Rhona Sharpe, Simon Cross, Denise Whitelock, Simon Lygo-Baker, Allison Littlejohn
ASSESSMENT & EVALUATION IN HIGHER EDUCATION
(2019)
Review
Education & Educational Research
Bart Rienties, Simon Cross, Vicky Marsh, Thomas Ullmann
Article
Education & Educational Research
Simon Cross, Denise Whitelock
INTERACTIVE LEARNING ENVIRONMENTS
(2017)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Bart Rienties, Avinash Boroowa, Simon Cross, Lee Farrington-Flint, Christothea Herodotou, Lynda Prescott, Kevin Mayles, Tom Olney, Lisette Toetenel, John Woodthorpe
LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE,
(2016)
Article
Education & Educational Research
Chris Jones
LEARNING MEDIA AND TECHNOLOGY
(2015)
Article
Education & Educational Research
C. Jones, G. Healing
JOURNAL OF COMPUTER ASSISTED LEARNING
(2010)
Article
Education & Educational Research
Elizabeth FitzGerald, Natalia Kucirkova, Ann Jones, Simon Cross, Rebecca Ferguson, Christothea Herodotou, Garron Hillaire, Eileen Scanlon
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY
(2018)
Article
Education & Educational Research
Chris Jones, Gregor Kennedy
RESEARCH IN LEARNING TECHNOLOGY
(2011)
Article
Education & Educational Research
Chris Jones, Graham Healing
LEARNING MEDIA AND TECHNOLOGY
(2010)
Article
Computer Science, Interdisciplinary Applications
Elise Ameloot, Tijs Rotsaert, Thomas Ameloot, Bart Rienties, Tammy Schellens
Summary: This study investigates the impact of using learning analytics to support students' autonomy and competence needs in a blended learning environment. The findings show that teachers' adaptation based on learning analytics positively influences students' satisfaction with the adapted learning environment. However, students' basic psychological needs vary depending on the face-to-face workshop subject. The study emphasizes the importance of thoughtful blended learning course design and provides recommendations for effective learning analytics utilization in university settings.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Tzu-Chi Yang, Zhi-Shen Lin
Summary: Computational thinking is essential in the current era and learning programming is the most effective way to develop it. Introducing computational thinking and programming at an early age is recommended. Graphic organizers serve as a bridge between students' existing knowledge and new learning, enhancing their learning process. The study found that using graphic organizers improved elementary school students' computational thinking, programming skills, and learning experiences.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yuqin Yang, Kaicheng Yuan, Gaoxia Zhu, Lizhen Jiao
Summary: The study finds that the design of collaborative analytics-enhanced reflective assessment can promote conducive epistemic emotions to knowledge building among undergraduates, and enriches our understanding of the relationships between metacognition, epistemic emotions, and knowledge building practices.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Vishal Kiran Kuvar, Jeremy N. Bailenson, Caitlin Mills
Summary: Recent research suggests that students' minds often wander off-task during learning, regardless of the learning modality. This study explores the potential of virtual reality (VR) to reduce task-unrelated thoughts (TUT) and finds that learning with VR leads to lower TUT and better performance.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yiming Liu, Jeremy Tzi Dong Ng, Xiao Hu, Zhengyang Ma, Xiaoyan Lai
Summary: This study examines teachers' usage intention and behavior towards the Game Learning Analytics (GLA) system in K-12 classrooms. The study found that personal, environmental, and technological factors influenced teachers' intention and behavior, and that technostress moderated the intention-behavior relationship. The study also identified the heterogeneity of GLA usage among teachers with different individual characteristics.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Romina Cachia, Artur Pokropek, Nikoleta Giannoutsou
Summary: This article introduces a shortened version of the European Commission's SELFIE tool for measuring the digital capacity of schools. Two shorter measurement instruments, called midi-SELFIE and mini-SELFIE, are proposed based on the original tool. The validity and uses of these shortened versions are explored through various cases and compared to the complete instrument. The results suggest that the shortened versions of SELFIE are reliable alternatives for specific purposes.
COMPUTERS & EDUCATION
(2024)