scholarly journals Role of Learning Analytics to Evaluate Formative Assessments: Using a Data Driven Approach to Inform Changes in Teaching Practices

2021 ◽  
Vol 34 (0) ◽  
pp. 550
Author(s):  
Rayapudi Hima Sagarika ◽  
Rohit Kandakatla ◽  
Ashwini Gulhane
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Richard R. Rodrigues ◽  
Manoj Gurung ◽  
Zhipeng Li ◽  
Manuel García-Jaramillo ◽  
Renee Greer ◽  
...  

AbstractWestern diet (WD) is one of the major culprits of metabolic disease including type 2 diabetes (T2D) with gut microbiota playing an important role in modulating effects of the diet. Herein, we use a data-driven approach (Transkingdom Network analysis) to model host-microbiome interactions under WD to infer which members of microbiota contribute to the altered host metabolism. Interrogation of this network pointed to taxa with potential beneficial or harmful effects on host’s metabolism. We then validate the functional role of the predicted bacteria in regulating metabolism and show that they act via different host pathways. Our gene expression and electron microscopy studies show that two species from Lactobacillus genus act upon mitochondria in the liver leading to the improvement of lipid metabolism. Metabolomics analyses revealed that reduced glutathione may mediate these effects. Our study identifies potential probiotic strains for T2D and provides important insights into mechanisms of their action.


2019 ◽  
Vol 17 (3) ◽  
pp. 317-332
Author(s):  
Agata Klimczak-Pawlak

Pragmatic competence in L2 English is claimed here to be crucial for successful communication in a variety of communicative contexts across Europe. However, due to language background, cultural and identity differences among users of English, there is a need for reflection and data-driven examination of how the language is used in specific situations. This paper adopts a cross-cultural perspective on the study of the use of English in the European Union with focus on its role in tourism. The role of English as the language of communication in Europe is discussed, followed by a proposal as to the way in which its actual usage can be studied. The data-driven approach to pragmatic behavior is advocated as the basis for the development of pragmatic competence in learners of English with focus on those who wish to engage in tourism.


Author(s):  
Julia Chen ◽  
Dennis Foung

This chapter explores the possibility of adopting a data-driven approach to connecting teacher-made assessments with course learning outcomes. The authors begin by describing several key concepts, such as outcome-based education, curriculum alignment, and teacher-made assessments. Then, the context of the research site and the subject in question are described and the use of structural equation modeling (SEM) in this curriculum alignment study is explained. After that, the results of these SEM analyses are presented, and the various models derived from the analyses are discussed. In particular, the authors highlight how a data-driven curriculum model can benefit from input by curriculum leaders and how SEM provides insights into course development and enhancement. The chapter concludes with recommendations for curriculum leaders and front-line teachers to improve the quality of teacher-made assessments.


2019 ◽  
Vol 250 ◽  
pp. R47-R53
Author(s):  
Tim Besley ◽  
Richard Davies

Executive SummaryAlongside the challenge of maintaining economic competitiveness in the face of great uncertainty, Brexit brings an opportunity for the government to set out a new industrial strategy. The case for doing so rests on the need to address areas of persistent structural weakness in the UK economy, including low productivity. But it is important that any new industrial strategy be based on appropriately granular data reflecting the real structure of the UK corporate sector: the overwhelmingly preponderant role of services as opposed to manufacturing, for example; the importance of young, fast-growing firms as opposed to SMEs; the relatively high failure rate of companies in the UK; and the relative lack of successful mid-sized firms. Such a data-driven approach might spawn an industrial strategy quite different from the piecemeal programmes of recent years.Internationally, the UK is a laggard in this area, and the recently-created Industrial Strategy Council does not look strong enough to change that position. To move forward, the government needs to make industrial strategy a central plank of economic policy, embedded at the heart of the administration with its own staff and funding, and operations based on a comprehensive review of the economic contribution and potential of various types of firm. Needless to say, it cannot be a substitute for a continuing commitment to competition and markets, or a stalking horse for protectionism: interventions should be justified by carefully-argued market failure arguments, be time-limited, and transparently evaluated.


2020 ◽  
Vol 46 (6) ◽  
pp. 516-522
Author(s):  
Lana Bojanić ◽  
Sandra Flynn ◽  
Myrsini Gianatsi ◽  
Navneet Kapur ◽  
Louis Appleby ◽  
...  

Author(s):  
Maribel Tercedor Sánchez ◽  
Alicia Casado Valenzuela

Understanding the role of mental images and embodiment in metaphorical thought is fundamental to the study of metaphor in science in general, and in medicine in particular. And analysing typologies of metaphorical images and their function is a key issue in assessing their success in disseminating knowledge, since knowledge construction depends on the interaction between verbal and visual information (Ketola, 2016). In this article, we describe the premises and methodological steps followed in analysing and describing visual metaphorical information in medical texts for lay audiences. We follow a data-driven approach in which images were extracted from the VariMed database, a multimodal terminographical tool for translation, linguistic research and knowledge dissemination. An experiment was carried out to explore how successfully metaphorical images used as illustrations for specific medical concepts were identified and understood. We conclude that metaphorical images were preferred over non-metaphorical illustrations for medical concepts, which may point to lay audiences’ familiarity with metaphorical multimodal references.


Author(s):  
Teresa Cerratto Pargman ◽  
Cormac McGrath

With the growing digitalization of the education sector, the availability of significant amounts of data, “big data,” creates possibilities for the use of artificial intelligence technologies to gain valuable insight into how students learn in higher education. Learning analytics technologies are examples of how deep learning algorithms can identify patterns in data and incorporate this “knowledge” into a model that is eventually integrated into the digital platforms used for interacting with students. This chapter introduces learning analytics as an emerging sociotechnical phenomenon in higher education. We situate the promises and expectations associated with learning analytics technologies, map their ties to emerging data-driven practices, and unpack the ethical concerns that are related to such practices via examples.Following this, we discuss three insights that we hope will provoke discussions among educators, researchers, and practitioners in higher education: (1) educational data-driven practices are highly context sensitive, (2) educational data-driven practices are not synonymous with evidence-based practices, and (3) innovative educational data-driven practices are not sustainable per se. This chapter calls for debating the role of emerging data-driven practices in higher education in relation to academic freedom and educational values embedded in critical pedagogy.


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