scholarly journals Guiding and Motivating Students through Open Social Student Modeling: Lessons Learned

2017 ◽  
Vol 119 (3) ◽  
pp. 1-42
Author(s):  
I-Han Hsiao ◽  
Peter Brusilovsky
Keyword(s):  
Language Learning ◽  
Learning Community ◽  
Design Patterns ◽  
Design Principles ◽  
Lessons Learned ◽  
Educational Resources ◽  
Student Modeling ◽  
Learning Content ◽  
Research Questions ◽  
Social Visualization

Background/Context A large number of educational resources are now made available on the web to support both regular classroom learning and online learning. The abundance of available content has produced at least two problems: how to help students find the most appropriate resources and how to engage them in using and benefiting from these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work attempts to integrate these directions of research by combining the ideas of adaptive navigation support and open student modeling with the ideas of social comparison and social visualization. We call our approach Open Social Student Modeling (OSSM). Objective/Research Questions First, we review a sequence of our earlier projects focused on Open Social Student Modeling for one kind of learning content and formulate several key design principles that contribute to the success of OSSM. Second, we present our exploration of OSSM in a more challenging context of modeling student progress for two kinds of learning content in parallel. We aim to answer the following research questions: How do we design OSSM interfaces to support many kinds of learning content in parallel? Will current identified design principles (key features) confirm the power of the learning community through OSSM with multiple learning-resource collections? Will the OSSM visualization provide successful personalized guidance within a richer collection of educational resources? Research Design We designed four classroom studies to assess the value of different options for OSSM visualization of one and multiple kinds of learning content in the context of programming-language learning. We examined the comparative success of different design options to distill successful design patterns and other important lessons for the future developers of OSSM for personalized and social e-learning. Findings/Results The results confirmed the motivational impact of personalized social guidance provided by the OSSM system in the target context. The interface encouraged students to explore more topics and motivated them to work ahead of the course schedule. Both strong and weak students worked with the appropriate levels of questions for their readiness, which yielded consistent performance across different levels of complex problems. Additionally, providing more realistic content collection on the navigation-supported OSSM visualizations resulted in uniform performance for the group. Conclusions/Recommendation A sequence of studies of several OSSM interfaces confirmed that a combination of adaptive navigational support, open student modeling, and social visualization in the form of the OSSM interface can reinforce the navigational and motivational values of these approaches. In several contexts, the OSSM interface demonstrated its ability to offer effective guidance in helping students to locate the most relevant content at the right time while increasing student motivation to work with diverse learning content.

scholarly journals The graph neural networking challenge

2021 ◽  
Vol 51 (3) ◽  
pp. 9-16
Author(s):  
José Suárez-Varela ◽  
Miquel Ferriol-Galmés ◽  
Albert López ◽  
Paul Almasan ◽  
Guillermo Bernárdez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Networks ◽  
Real World ◽  
Large Scale ◽  
Lessons Learned ◽  
Educational Resources ◽  
Global Competition ◽  
International Telecommunication Union ◽  
International Telecommunication ◽  
Broad Audience

During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in real-world deployments. This poses the need to count on new generations of students, researchers and practitioners with a solid background in ML applied to networks. During 2020, the International Telecommunication Union (ITU) has organized the "ITU AI/ML in 5G challenge", an open global competition that has introduced to a broad audience some of the current main challenges in ML for networks. This large-scale initiative has gathered 23 different challenges proposed by network operators, equipment manufacturers and academia, and has attracted a total of 1300+ participants from 60+ countries. This paper narrates our experience organizing one of the proposed challenges: the "Graph Neural Networking Challenge 2020". We describe the problem presented to participants, the tools and resources provided, some organization aspects and participation statistics, an outline of the top-3 awarded solutions, and a summary with some lessons learned during all this journey. As a result, this challenge leaves a curated set of educational resources openly available to anyone interested in the topic.

In search of design principles for tools and practices to support communication within a learning community

1998 ◽  
Vol 30 (2) ◽  
pp. 113-118 ◽  
Author(s):  
Stephanie Houde ◽  
Rachel Bellamy ◽  
Laureen Leahy
Keyword(s):  
Learning Community ◽  
Design Principles

scholarly journals Recontextualizing Quality Talk for an Eighth-Grade English Classroom in China

2020 ◽  
pp. 209653112097017
Author(s):  
Liwei Wei ◽  
P. Karen Murphy ◽  
Shenghui Wu
Keyword(s):  
Language Learning ◽  
Small Group ◽  
English Language ◽  
Group Discussion ◽  
Lessons Learned ◽  
Target Language ◽  
Eighth Grade ◽  
Pedagogical Approach ◽  
Language Class ◽  
English Classroom

Purpose: Conducting meaningful interactions in the target language is essential for language learning. However, in many English language classrooms in China, it is rare that students are provided with such opportunities. In the current study, we presented and critically evaluated the implementation of a small-group discussion approach called Quality Talk (QT) in an eighth-grade English language classroom in China. Design/Approach/Methods: One eighth-grade English teacher and 82 eighth-grade students in a public middle school in Beijing participated in the study using a pretest-posttest, quasi-experimental design. Recordings of teacher coaching sessions and student discussions, researchers’ field notes, and participating teacher’s written reflections were used to identify successful practices and lessons learned with respect to the implementation of QT. Implications for future directions were also discussed. Findings: The results revealed that to successfully implement a discourse-intensive pedagogical approach in a large English language class, it is essential that (a) the materials used for discussion closely align with the school curriculum, (b) students are grouped heterogeneously and scaffolded to engage in discussions both in their native and target languages, and (c) student leadership be leveraged to facilitate discussion in each small group. Originality/Value: The present study delineated the details with respect to implementing a discourse-intensive pedagogical approach in an eighth-grade English classroom in China. We derived several key insights from recontextualizing QT in an English learning, large class context in China. These insights might hold the potential to improve the effectiveness of English teaching and learning in China.

scholarly journals The interplay between environmental exposures and COVID-19 risks in the health of children

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Peter D. Sly ◽  
Brittany A. Trottier ◽  
Catherine M. Bulka ◽  
Stephania A. Cormier ◽  
Julius Fobil ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Disease Severity ◽  
Research Effort ◽  
Severe Disease ◽  
Environmental Exposures ◽  
Research Strategy ◽  
Lessons Learned ◽  
Research Questions ◽  
The Impact

Abstract Background An unusual feature of SARS-Cov-2 infection and the COVID-19 pandemic is that children are less severely affected than adults. This is especially paradoxical given the epidemiological links between poor air quality and increased COVID-19 severity in adults and that children are generally more vulnerable than adults to the adverse consequences of air pollution. Objectives To identify gaps in knowledge about the factors that protect children from severe SARS-Cov-2 infection even in the face of air pollution, and to develop a transdisciplinary research strategy to address these gaps. Methods An international group of researchers interested in children’s environmental health was invited to identify knowledge gaps and to develop research questions to close these gaps. Discussion Key research questions identified include: what are the effects of SAR-Cov-2 infection during pregnancy on the developing fetus and child; what is the impact of age at infection and genetic susceptibility on disease severity; why do some children with COVID-19 infection develop toxic shock and Kawasaki-like symptoms; what are the impacts of toxic environmental exposures including poor air quality, chemical and metal exposures on innate immunity, especially in the respiratory epithelium; what is the possible role of a “dirty” environment in conveying protection – an example of the “hygiene hypothesis”; and what are the long term health effects of SARS-Cov-2 infection in early life. Conclusion A concerted research effort by a multidisciplinary team of scientists is needed to understand the links between environmental exposures, especially air pollution and COVID-19. We call for specific research funding to encourage basic and clinical research to understand if/why exposure to environmental factors is associated with more severe disease, why children appear to be protected, and how innate immune responses may be involved. Lessons learned about SARS-Cov-2 infection in our children will help us to understand and reduce disease severity in adults, the opposite of the usual scenario.

scholarly journals Report on the 11th bibliometric-enhanced information retrieval workshop (BIR 2021)

2021 ◽  
Vol 55 (1) ◽  
pp. 1-9
Author(s):  
Ingo Frommholz ◽  
Guillaume Cabanac ◽  
Philipp Mayr ◽  
Suzan Verberne
Keyword(s):  
Information Retrieval ◽  
Lessons Learned ◽  
Future Research ◽  
Research Questions ◽  
Important Branch

The 11th Bibliometric-enhanced Information Retrieval Workshop (BIR 2021) was held online on April 1st, 2021, at ECIR 2021 as a virtual event. The interdisciplinary BIR workshop series aims to bring together researchers from different communities, especially Scientometrics/Bibliometrics and Information Retrieval. We report on the 11th BIR, its invited talks and accepted papers. Lessons learned from BIR 2021 are discussed and potential future research questions identified that position Bibliometric-enhanced IR as an exciting special yet important branch of IR research.

scholarly journals Pattern-based design applied to cultural heritage knowledge graphs

Semantic Web ◽  
2020 ◽  
pp. 1-45
Author(s):  
Valentina Anita Carriero ◽  
Aldo Gangemi ◽  
Maria Letizia Mancinelli ◽  
Andrea Giovanni Nuzzolese ◽  
Valentina Presutti ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Design Patterns ◽  
Lessons Learned ◽  
Knowledge Graph ◽  
Unit Testing ◽  
Domain Specific ◽  
Rigorous Testing ◽  
Ontology Design ◽  
Domain Specific Knowledge ◽  
Knowledge Graphs

Ontology Design Patterns (ODPs) have become an established and recognised practice for guaranteeing good quality ontology engineering. There are several ODP repositories where ODPs are shared as well as ontology design methodologies recommending their reuse. Performing rigorous testing is recommended as well for supporting ontology maintenance and validating the resulting resource against its motivating requirements. Nevertheless, it is less than straightforward to find guidelines on how to apply such methodologies for developing domain-specific knowledge graphs. ArCo is the knowledge graph of Italian Cultural Heritage and has been developed by using eXtreme Design (XD), an ODP- and test-driven methodology. During its development, XD has been adapted to the need of the CH domain e.g. gathering requirements from an open, diverse community of consumers, a new ODP has been defined and many have been specialised to address specific CH requirements. This paper presents ArCo and describes how to apply XD to the development and validation of a CH knowledge graph, also detailing the (intellectual) process implemented for matching the encountered modelling problems to ODPs. Relevant contributions also include a novel web tool for supporting unit-testing of knowledge graphs, a rigorous evaluation of ArCo, and a discussion of methodological lessons learned during ArCo’s development.

scholarly journals Palliative care in paediatric oncology: perceptions, expertise and practices from the perspective of the multidisciplinary team

2015 ◽  
Vol 36 (2) ◽  
pp. 56-62 ◽  
Author(s):  
Adriana Ferreira da Silva ◽  
Helena Becker Issi ◽  
Maria da Graça Corso da Motta ◽  
Daisy Zanchi de Abreu Botene
Keyword(s):  
Palliative Care ◽  
Multidisciplinary Team ◽  
Structured Interview ◽  
Paediatric Oncology ◽  
Lessons Learned ◽  
Team Members ◽  
Descriptive Research ◽  
The Family ◽  
Research Questions ◽  
Oncology Unit

OBJECTIVE: To reveal the perceptions, expertise and practices of multi-professional teams providing palliative care to children in a paediatric oncology unit. The research questions were based on everyday care, facilitations and difficulties, essential aspects of professional approaches, and the inter-disciplinary focus of care for children in palliative care and their families. METHOD: Qualitative, exploratory and descriptive research. Data were collected from June to October 2013 from nine professional multidisciplinary team members by means of a semi-structured interview submitted to thematic analysis. RESULTS: The following four themes emerged from analysis: palliative care: conceptions of the multi-professional team; the construction of singular care; the facilitations and difficulties experienced by the team and significant lessons learned. CONCLUSIONS: The subjects revealed that the team also suffers with the death of a child and, like the family, moves toward the construction of coping mechanisms for the elaboration of mourning. Paradoxically, the team shares knowledge to determine the foundations of a singular therapeutic project and inserts the family in this process so that it can be the protagonist of the child's care.

scholarly journals The Application of Virtual Simulations Using Second Life in a Foreign Language Classroom

2014 ◽  
Vol 2 (1) ◽  
pp. 67 ◽  
Author(s):  
Tecnam Yoon
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Learning Community ◽  
Second Life ◽  
Virtual Simulation ◽  
English Learning ◽  
Language Class ◽  
Simulation Based ◽  
Language Classroom ◽  
Virtual Simulations

<p><em>The purpose of this paper is to investigate the effects of virtual simulation-based language learning in a foreign language class in Korea. Total 35 1st-year university students in Korea participated in this research to figure out the effect of simulations. A virtual English learning community, ‘Cypris Chat’ in Second Life was selected as a learning tool. For the data collection, a survey questionnaire was distributed and analyzed quantitatively. The result shows that the majority of the students had a positive attitude toward using a virtual simulation in English learning and had better understanding in learning English by experiencing an authentic practice. The first section of this paper provides a general overview of simulations in educational settings through an insightful literature review of the current research in the area. The review includes a comprehensive outlook on simulations, an example of successful classroom integration and some of the considerations researchers have found for their implementation. The latter section addresses the research method, results and conclusions.</em></p>

scholarly journals The Impact of Online Training on Saudi Medical Students’ Attitudes, Awareness, and Use of Language Learning Strategies in Relation to their Developing Autonomy

2016 ◽  
pp. 4-15
Author(s):  
Sahar Alzahrani ◽  
Julie Watson
Keyword(s):  
Language Learning ◽  
Learning Strategies ◽  
Group Discussion ◽  
Strategy Training ◽  
Strategy Development ◽  
Learning Material ◽  
Language Learning Strategies ◽  
Research Questions ◽  
Students Attitudes ◽  
The Impact

In the context of ongoing debate about the relationship between strategy training and autonomous learning, this study set out in the belief that they are inextricably linked and sought to explore three important aspects of learner strategy development more deeply. An experiment was designed to investigate the effectiveness of learner training with three groups of Saudi students taking a course in English for Medical Purposes: control (no treatment), offline (treatment delivered on paper), and online (online treatment). The treatments used supplementary learning material focused on language learning strategies (LLS). The design and the delivery of the treatments was informed by Rubin, Chamot, Harris, and Anderson (2007), Cohen (1998), Murphy and Hurd (2011), and Murphy (2008a). This paper sought to answer three research questions related to the impact of learner training on students’ attitudes, awareness, and use of LLS in relation to their autonomous abilities after exposure to the treatment. Qualitative data from students’ reflective writings, interviews and focus group discussion was used to answer these questions. For the two treatment groups, the treatment impact was found to be positive in relation to the research questions and negative in the control. The online group outperformed the offline one in all the three investigated aspects.

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