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Institution

Aalto University

EducationEspoo, Finland
About: Aalto University is a education organization based out in Espoo, Finland. It is known for research contribution in the topics: Computer science & Context (language use). The organization has 9969 authors who have published 32648 publications receiving 829626 citations. The organization is also known as: TKK & Aalto-korkeakoulu.


Papers
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Journal ArticleDOI
Irja Hyväri1
TL;DR: In this paper, the authors evaluate the critical success/failure factors in project management and examine the relationships between critical success factors and organizational back-growth and organization back-gathering.
Abstract: The main purpose of this study is to evaluate the critical success/failure factors in project management and to examine the relationships between critical success factors and organizational backgro...

273 citations

01 Jan 2012
TL;DR: In this paper, the authors conduct a comprehensive multidisciplinary literature review with an aim to identify the critical issues organizations might need to consider when implementing dashboards, i.e., what types of dashboards work best for different users or tasks.
Abstract: Dashboards are expected to improve decision making by amplifying cognition and capitalizing on human perceptual capabilities. Hence, interest in dashboards has increased recently, which is also evident from the proliferation of dashboard solution providers in the market. Despite dashboards' popularity, little is known about the extent of their effectiveness, i.e. what types of dashboards work best for different users or tasks. In this paper, we conduct a comprehensive multidisciplinary literature review with an aim to identify the critical issues organizations might need to consider when implementing dashboards. Dashboards are likely to succeed and solve the problems of presentation format and information load when certain visualization principles and features are present (e.g. high data-ink ratio and drill down features).Werecommend that dashboards come with some level of flexibility, i.e. allowing users to switch between alternative presentation formats. Also some theory driven guidance through popups and warnings can help users to select an appropriate presentation format. Given the dearth of research on dashboards, we conclude the paper with a research agenda that could guide future studies in this area.

272 citations

Proceedings ArticleDOI
04 Jul 2015
TL;DR: An overview of the body of knowledge regarding the use of educational data mining and learning analytics focused on the teaching and learning of programming is provided and a novel taxonomy to analyse replicating studies is introduced.
Abstract: Educational data mining and learning analytics promise better understanding of student behavior and knowledge, as well as new information on the tacit factors that contribute to student actions. This knowledge can be used to inform decisions related to course and tool design and pedagogy, and to further engage students and guide those at risk of failure. This working group report provides an overview of the body of knowledge regarding the use of educational data mining and learning analytics focused on the teaching and learning of programming. In a literature survey on mining students' programming processes for 2005-2015, we observe a significant increase in work related to the field. However, the majority of the studies focus on simplistic metric analysis and are conducted within a single institution and a single course. This indicates the existence of further avenues of research and a critical need for validation and replication to better understand the various contributing factors and the reasons why certain results occur. We introduce a novel taxonomy to analyse replicating studies and discuss the importance of replicating and reproducing previous work. We describe what is the state of the art in collecting and sharing programming data. To better understand the challenges involved in replicating or reproducing existing studies, we report our experiences from three case studies using programming data. Finally, we present a discussion of future directions for the education and research community.

272 citations

Journal ArticleDOI
Abstract: In response to energy crisis, global warming and climate changes, microalgae have received a great deal of interest as a biofuel feedstock. However, the development of microalgal biofuels witnesses an obvious and serious dilemma. The reported literature shows that “fuel only” option is not economically viable due to the overwhelming investments in capital and operation. Hence, it is questionable whether it is too luxurious to produce microalgae only for biofuel application. In addition, there are some voiced concerns related to the impacts of microalgal biofuel production on the conventional applications, such as cosmetics, pharmaceuticals and nutritious feed. It is therefore questionable whether the microalgal biofuel production will affect the original functions. From a sustainability point of view, the author explores the current challenges in microalgal applications and proposes an innovative framework for microalgal biorefinery, which can realize the production of multiple products in the form of high values and biofuels such as biodiesel, bioethanol and biogas. With the aim at maximizing the value derived from different microalgal components, the innovative microalgal biorefinery concept includes four pathways: high-value products–biodiesel–bioethanol–biogas; high-value products–bioethanol–biogas; high-value products–biodiesel–biogas; and high-value products–biogas. Special attention has been paid to the production of high-value products through system integration and engineering, which is expected to promote the economics of microalgal biofuels. Net energy ratio assessment and cost-effectiveness assessment have been highlighted to testify the feasibility of microalgal biorefinery options, and some crucial actions have been suggested to help establish the process.

272 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed three lignin nanoparticles (LNPs): pure LNPs, iron-III-complexed LNNs, and Fe3O4-infused LNN.

271 citations


Authors

Showing all 10135 results

NameH-indexPapersCitations
John B. Goodenough1511064113741
Ashok Kumar1515654164086
Anne Lähteenmäki11648581977
Kalyanmoy Deb112713122802
Riitta Hari11149143873
Robin I. M. Dunbar11158647498
Andreas Richter11076948262
Mika Sillanpää96101944260
Muhammad Farooq92134137533
Ivo Babuška9037641465
Merja Penttilä8730322351
Andries Meijerink8742629335
T. Poutanen8612033158
Sajal K. Das85112429785
Kalle Lyytinen8442627708
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023101
2022342
20212,842
20203,030
20192,749
20182,719