scholarly journals Dimensions of machine learning in design

1998 ◽  
Vol 12 (2) ◽  
pp. 117-121 ◽  
Author(s):  
DAN L. GRECU ◽  
DAVID C. BROWN
Keyword(s):  
Machine Learning ◽  
Design Research ◽  
Learning Opportunities ◽  
Design Learning ◽  
New Directions ◽  
Design Systems ◽  
Systematic Framework

Many of the design systems developed in recent years incorporate some machine learning. The number of such systems already available, and the multitude of design learning opportunities that are slowly being revealed, suggest that the time is ripe to attempt to put these developments into a systematic framework. Consequently, in this paper we present a set of dimensions for machine learning in design research. We hope that it can be used as a guide for comparing existing work, and that it may suggest new directions for future exploration in this area.

PODC 2020 Review

2021 ◽  
Vol 51 (4) ◽  
pp. 75-81
Author(s):  
Ahad Mirza Baig ◽  
Alkida Balliu ◽  
Peter Davies ◽  
Michal Dory
Keyword(s):  
Machine Learning ◽  
Distributed Computing ◽  
Keynote Speaker ◽  
Lively Discussion ◽  
Theoretical Understanding ◽  
New Directions ◽  
New Ideas ◽  
New Challenges ◽  
The Impact ◽  
Distributed Machine Learning

Rachid Guerraoui was the rst keynote speaker, and he got things o to a great start by discussing the broad relevance of the research done in our community relative to both industry and academia. He rst argued that, in some sense, the fact that distributed computing is so pervasive nowadays could end up sti ing progress in our community by inducing people to work on marginal problems, and becoming isolated. His rst suggestion was to try to understand and incorporate new ideas coming from applied elds into our research, and argued that this has been historically very successful. He illustrated this point via the distributed payment problem, which appears in the context of blockchains, in particular Bitcoin, but then turned out to be very theoretically interesting; furthermore, the theoretical understanding of the problem inspired new practical protocols. He then went further to discuss new directions in distributed computing, such as the COVID tracing problem, and new challenges in Byzantine-resilient distributed machine learning. Another source of innovation Rachid suggested was hardware innovations, which he illustrated with work studying the impact of RDMA-based primitives on fundamental problems in distributed computing. The talk concluded with a very lively discussion.

scholarly journals Ten-Structure as Strategy of Addition 1-20 by Involving Spatial Structuring Ability for First Grade Students

2015 ◽  
Vol 8 (11) ◽  
pp. 16 ◽  
Author(s):  
Ummy Salmah ◽  
Ratu Ilma Indra Putri ◽  
Somakim Somakim
Keyword(s):  
Teaching And Learning ◽  
Design Research ◽  
First Grade ◽  
Learning Activities ◽  
Design Learning ◽  
Spatial Structuring ◽  
Support Students

<p class="apa">The aim of this study is to design learning activities that can support students to develop strategies for the addition of number 1 to 20 in the first grade by involving students’ spatial structuring ability. This study was conducted in Indonesia by involving 27 students. In this paper, one of three activities is discussed namely ten-box activity. This activity was aimed to introduce and develop ten-structure to be a students’ strategy in addition of number 1 to 20. The method was design research by designing learning activities involving spatial structuring ability. PMRI underlined the context and activity. The result of the study indicates that ten-box activities can help students to develop ten-structure as a strategy in addition of number 1 to 20. As a recommendation, PMRI can be implemented as an approach of teaching and learning addition 1 to 20.</p>

The Use of Virtual Worlds for Developing Intercultural Competences

2016 ◽  
Vol 12 (3) ◽  
pp. 51-64 ◽  
Author(s):  
Lisiane Machado ◽  
Amarolinda Zanela Klein ◽  
Angilberto Freitas ◽  
Eliane Schlemmer ◽  
Cristiane Drebes Pedron
Keyword(s):  
Social Interaction ◽  
Virtual Worlds ◽  
Second Life ◽  
Intercultural Competence ◽  
Design Research ◽  
Learning Opportunities ◽  
Educational Method ◽  
Exchange Program ◽  
Sense Of Presence ◽  
Conversational Learning

In this research, the authors present a framework for developing Intercultural Competence (IC) and use Tridimensional Digital Virtual Worlds (3DVW) as environments for developing Intercultural Competence. They developed an artifact, via Design Research, constituted by an educational method using the 3DVW Second Life® as the place for a virtual exchange program between 92 Brazilian and Portuguese master students. The results of the authors' study indicate that the 3DVW can be used for the development of IC because it allows rich experiential and relational/conversational learning opportunities, especially due to the affordances of immersion/sense of presence, social interaction, content production and knowledge sharing.

scholarly journals A Study on the Evolution of Ransomware Detection Using Machine Learning and Deep Learning Techniques

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 551-604
Author(s):  
Damien Warren Fernando ◽  
Nikos Komninos ◽  
Thomas Chen
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Learning Approach ◽  
Learning Approaches ◽  
Learning Techniques ◽  
New Directions ◽  
Encryption Schemes ◽  
Malware Evolution ◽  
Number Of Citations ◽  
Research Studies

This survey investigates the contributions of research into the detection of ransomware malware using machine learning and deep learning algorithms. The main motivations for this study are the destructive nature of ransomware, the difficulty of reversing a ransomware infection, and how important it is to detect it before infecting a system. Machine learning is coming to the forefront of combatting ransomware, so we attempted to identify weaknesses in machine learning approaches and how they can be strengthened. The threat posed by ransomware is exceptionally high, with new variants and families continually being found on the internet and dark web. Recovering from ransomware infections is difficult, given the nature of the encryption schemes used by them. The increase in the use of artificial intelligence also coincides with this boom in ransomware. The exploration into machine learning and deep learning approaches when it comes to detecting ransomware poses high interest because machine learning and deep learning can detect zero-day threats. These techniques can generate predictive models that can learn the behaviour of ransomware and use this knowledge to detect variants and families which have not yet been seen. In this survey, we review prominent research studies which all showcase a machine learning or deep learning approach when detecting ransomware malware. These studies were chosen based on the number of citations they had by other research. We carried out experiments to investigate how the discussed research studies are impacted by malware evolution. We also explored the new directions of ransomware and how we expect it to evolve in the coming years, such as expansion into IoT (Internet of Things), with IoT being integrated more into infrastructures and into homes.

scholarly journals Design Learning for Tomorrow — Design Education from Kindergarten to PhD

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Liv Merete Nielsen ◽  
Karen Brænne ◽  
Ingvill Gjerdrum Maus
Keyword(s):  
Applied Sciences ◽  
Design Education ◽  
Design Research ◽  
International Association ◽  
Research Society ◽  
Decision Makers ◽  
Good Time ◽  
Art And Design ◽  
Design Learning ◽  
Traditional Songs

This issue of FORMakademisk is built upon papers from the DRS//CUMULUS Oslo 2013 con­fer­ence — 2nd International Conference for Design Education Researchers — at Oslo and Akershus University College of Applied Sciences (HIOA) 14-17 May 2013 in Oslo. The conference was a cooperative event between the Design Research Society (DRS) and the International Association of Universities and Schools of Design, Art and Media (CUMULUS), and hosted by the Faculty of Technology, Art and Design at HIOA. The theme for the conference was Design Learning for Tomorrow — Design Education from Kindergar­ten to PhD. The conference received an overwhelming response both ahead of the conference, with 225 admitted papers, and during the conference with 280 delegates from 43 countries listening to 165 presentations and having a good time in Oslo. The last day of the conference was the 17th of May, Norway National Day, with traditional songs and a children’s parade in the centre of Oslo.We see this positive response to the conference as a growing awareness of perceiving design in a broad interdisciplinary perspective in support for a better tomorrow. For years the Design Literacy Research Group, with a base at HIOA in Oslo, has promoted the idea that sustainable design solutions should include more than ‘professional’ designers; they should also include the general public as ‘conscious’ consumers and decision makers with responsi­bility for quality and longevity, as opposed to a ‘throw-away’ society.

DelibAnalysis: Understanding the quality of online political discourse with machine learning

2019 ◽  
Vol 46 (6) ◽  
pp. 810-822
Author(s):  
Eleonore Fournier-Tombs ◽  
Giovanna Di Marzo Serugendo
Keyword(s):  
Machine Learning ◽  
Quality Index ◽  
Political Discourse ◽  
Large Datasets ◽  
Quality Analysis ◽  
Political Discussion ◽  
Systematic Framework ◽  
Insight Into ◽  
Discourse Quality

This article proposes an automated methodology for the analysis of online political discourse. Drawing from the discourse quality index (DQI) by Steenbergen et al., it applies a machine learning–based quantitative approach to measuring the discourse quality of political discussions online. The DelibAnalysis framework aims to provide an accessible, replicable methodology for the measurement of discourse quality that is both platform and language agnostic. The framework uses a simplified version of the DQI to train a classifier, which can then be used to predict the discourse quality of any non-coded comment in a given political discussion online. The objective of this research is to provide a systematic framework for the automated discourse quality analysis of large datasets and, in applying this framework, to yield insight into the structure and features of political discussions online.

Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques

2017 ◽  
Author(s):  
Christine A. Toh ◽  
Elizabeth M. Starkey ◽  
Conrad S. Tucker ◽  
Scarlett R. Miller
Keyword(s):  
Machine Learning ◽  
Design Research ◽  
Machine Learning Techniques ◽  
Numeric Model ◽  
Design Creativity ◽  
Large Sets ◽  
Learning Techniques ◽  
Ideation Methods ◽  
High Level ◽  
Design Ideas

The emergence of ideation methods that generate large volumes of early-phase ideas has led to a need for reliable and efficient metrics for measuring the creativity of these ideas. However, existing methods of human judgment-based creativity assessments, as well as numeric model-based creativity assessment approaches suffer from low reliability and prohibitive computational burdens on human raters due to the high level of human input needed to calculate creativity scores. In addition, there is a need for an efficient method of computing the creativity of large sets of design ideas typically generated during the design process. This paper focuses on developing and empirically testing a machine learning approach for computing design creativity of large sets of design ideas to increase the efficiency and reliability of creativity evaluation methods in design research. The results of this study show that machine learning techniques can predict creativity of ideas with relatively high accuracy and sensitivity. These findings show that machine learning has the potential to be used for rating the creativity of ideas generated based on their descriptions.

scholarly journals THE INNOVATION OF LEARNING TRAJECTORY ON MULTIPLICATION OPERATIONS FOR RURAL AREA STUDENTS IN INDONESIA

2019 ◽  
Vol 10 (3) ◽  
pp. 397-408 ◽  
Author(s):  
Heris Hendriana ◽  
Rully Charitas Indra Prahmana ◽  
Wahyu Hidayat
Keyword(s):  
Basic Concept ◽  
Research Method ◽  
Design Research ◽  
Teaching Experiment ◽  
Learning Trajectory ◽  
Preliminary Design ◽  
Student Difficulties ◽  
Design Learning ◽  
Teaching Design ◽  
Formal Level

The rural area's student difficulties in learning the concept of number operation had been documented by several studies, especially for the case of multiplication. The teacher typically introduces the multiplication concepts using the formula without involving the concept itself. Furthermore, this study aims to design learning trajectory on multiplication operations in the Mathematics of GASING (Math GASING) by focusing more on the concept itself than the formula and by starting from the informal to a formal level of teaching. Design research used as the research method to solve this problem consisting of three phases, namely preliminary design, teaching experiment, and retrospective analysis. The research results show that the Math GASING has a real contribution for students to understanding and mastering in the concept of the multiplication operations. This research also explains the strategy and the model discovered by students in learning multiplication that the students used as a basic concept of multiplication. Finally, the students were able to understand the concept of multiplication more easily, and they showed interest in using this learning trajectory.

scholarly journals Didactical Design Research untuk Mengembangkan Kompetensi Pedagogik Guru di Sekolah Dasar

INVENTA ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 58-68
Author(s):  
Irfan Fauzi ◽  
Didi Suryadi
Keyword(s):  
Literature Review ◽  
Learning Process ◽  
Design Research ◽  
Effective Learning ◽  
Design Learning ◽  
Learning Plans

One of the teacher's abilities related to pedagogics is being able to make effective learning plans that are appropriate to the needs of students, to create this it requires an innovation to design learning. Didactical design research (DDR) is seen as a paradigm of learning innovation in providing solutions to the difficulties of teachers in making learning plans that fit the needs of students in the classroom, in addition to that didactical design research is seen as one way in developing teacher pedagogical competencies, this research aims To examine the DDR paradigm in developing teacher pedagogical competencies, the method used in this study uses literature review from various sources, both journals, books, and other supporting sources. This research is expected to provide insights and knowledge for researchers in developing research using didactical design research, besides this research is expected to provide guidance to teachers in making learning designs that are appropriate to students' needs, so that the learning process is created real and meaningful.

Sign in / Sign up

Export Citation Format

Share Document