scholarly journals Video Data Analysis for Tracing Emotional Aspects of Collaborative Design and Making Processes

2021 ◽  
Vol 21 (3) ◽  
pp. 1-14
Author(s):  
Tiina Paavola ◽  
Kaiju Kangas ◽  
Sirpa Kokko ◽  
Sini Riikonen ◽  
Varpu Mehto ◽  
...  
Keyword(s):  
Video Analysis ◽  
Collaborative Design ◽  
Basic Education ◽  
Digital Fabrication ◽  
Video Data ◽  
Analysis Method ◽  
Video Recordings ◽  
Collaborative Processes ◽  
Emotional Aspects ◽  
Using Data

The purpose of the article is to introduce a systematic, three-level video analysis method for tracing the emotional aspects of a collaborative design and making process. Maker-centred learning can evoke strong emotions affecting students’ motivation because it involves them in externalising their ideas through conceptual, visual and material artefacts. For analysing longitudinal collaborative processes, we developed the visual Making-Process-Rug video analysis method, which enables tracing materially mediated verbal and embodied making processes. We provide examples of the method using data, where a team of seventh-grade students performing regular schoolwork were engaged in using traditional and digital fabrication technologies for inventing, designing, and making artefacts. Taking a case study perspective, we focus on a team of four students who worked on a smart product project. We analysed video recordings from the team’s 11 hours of design and making sessions on three levels: macro, intermediate and micro. The benefit of the three-level method is that it allows simultaneous analysis of social-discursive and materially embodied aspects of activities. It also enables analysing large samples of video data systematically, and focusing on both micro-level and macro-level perspectives of activity. The method for identifying emotions from video data has potential for educational research on various fields, however, the culture-specific expressions and interpretations of emotions require special attention when developing the method further. Keywords: basic education, collaborative process, emotional expression, Making-Process-Rug, sociomateriality, video analysis method

scholarly journals Bringing maker practices to school: tracing discursive and materially mediated aspects of student teams’ collaborative making processes

2020 ◽  
Vol 15 (3) ◽  
pp. 319-349 ◽  
Author(s):  
Sini Riikonen ◽  
Pirita Seitamaa-Hakkarainen ◽  
Kai Hakkarainen
Keyword(s):  
Video Analysis ◽  
Digital Fabrication ◽  
Analysis Method ◽  
Seventh Grade ◽  
School Work ◽  
Regular School ◽  
Collaborative Processes ◽  
Student Teams ◽  
Epistemic Object

Abstract The present investigation aimed to analyze the collaborative making processes and ways of organizing collaboration processes of five student teams. As a part of regular school work, the seventh-grade students were engaged in the use of traditional and digital fabrication technologies for inventing, designing, and making artifacts. To analyze complex, longitudinal collaborative making processes, we developed the visual Making-Process-Rug video analysis method, which enabled tracing intertwined with social-discursive and materially mediated making processes and zoomed in on the teams’ efforts to organize their collaborative processes. The results indicated that four of the five teams were able to take on multifaceted epistemic and fabrication-related challenges and come up with novel co-inventions. The successful teams’ social-discursive and embodied making actions supported each another. These teams dealt with the complexity of invention challenges by spending a great deal of their time in model making and digital experimentation, and their making process progressed iteratively. The development of adequate co-invention and well-organized collaboration processes appeared to be anchored in the team’s shared epistemic object.

scholarly journals Eye-opening facilitator behaviours: an Interaction Analysis of facilitator behaviours that advance debriefings

2019 ◽  
Vol 6 (4) ◽  
pp. 220-228
Author(s):  
Klas Karlgren ◽  
Fredrik Larsson ◽  
Anders Dahlström
Keyword(s):  
Video Analysis ◽  
Interaction Analysis ◽  
Video Data ◽  
Alternative Strategies ◽  
Simulation Performance ◽  
Video Assisted ◽  
Video Recordings ◽  
Starting Point ◽  
Eye Opening

IntroductionAnalyses of simulation performance taking place during postsimulation debriefings have been described as iterating through phases of unawareness of problems, identifying problems, explaining the problems and suggesting alternative strategies or solutions to manage the problems. However, little is known about the mechanisms that contribute to shifting from one such phase to the subsequent one. The aim was to study which kinds of facilitator interactions contribute to advancing the participants’ analyses during video-assisted postsimulation debriefing.MethodsSuccessful facilitator behaviours were analysed by performing an Interaction-Analytic case study, a method for video analysis with roots in ethnography. Video data were collected from simulation courses involving medical and midwifery students facilitated by highly experienced facilitators (6–18 years, two paediatricians and one midwife) and analysed using the Transana software. A total of 110 successful facilitator interventions were observed in four video-assisted debriefings and 94 of these were included in the analysis. As a starting point, the participants’ discussions were first analysed using the phases of a previously described framework, uPEA (unawareness (u), problem identification (P), explanation (E) and alternative strategies/solutions (A)). Facilitator interventions immediately preceding each shift from one phase to the next were thereafter scrutinised in detail.ResultsFifteen recurring facilitator behaviours preceding successful shifts to higher uPEA levels were identified. While there was some overlap, most of the identified facilitator interventions were observed during specific phases of the debriefings. The most salient facilitator interventions preceding shifts to subsequent uPEA levels were respectively: use of video recordings to draw attention to problems (P), questions about opinions and rationales to encourage explanations (E) and dramatising hypothetical scenarios to encourage alternative strategies (A).ConclusionsThis study contributes to the understanding of how certain facilitator behaviours can contribute to the participants’ analyses of simulation performance during specific phases of video-assisted debriefing.

Video analysis and the temporality of inscriptions within social interaction: the case of architects at work

2012 ◽  
Vol 12 (3) ◽  
pp. 304-333 ◽  
Author(s):  
Lorenza Mondada
Keyword(s):  
Social Interaction ◽  
Empirical Study ◽  
Video Analysis ◽  
Video Data ◽  
The Other ◽  
Professional Activity ◽  
Social Activities ◽  
Video Recordings ◽  
The One ◽  
The Way

This article shows how artefacts – and more specifically documents and visualizations such as images, maps and plans – can be analysed in detail within an ethnomethodological and conversation analytic perspective focusing on the way in which they are manipulated within social activities. The aim is double. On the one hand, the article deals with the way in which the temporal and interactional feature of inscriptions in interaction can be preserved and analysed on the basis of video data, highlighting some of the challenges of producing adequate video recordings and video transcriptions of these phenomena. On the other hand, the article offers an empirical study of a professional activity in which participants manipulate texts, plans and other visualizations. Thus, it analyses in detail a meeting video recorded in an architectural office, in which three architects read, discuss, and draw plans, as well as explore and discover ideas by formulating, gesticulating, and sketching them.

ESTIMATION OF TECHNICAL, SPECIALIZED AND ECONOMIC EFFICIENCY OF CULTIVATED POTATO VARIETIES USING DATA ENVELOPE ANALYSIS METHOD (DEA) IN IRAQ FOR SPRING LUG 2018

2020 ◽  
pp. 119-131
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Potato Crop ◽  
Economic Status ◽  
Analysis Method ◽  
Envelope Analysis ◽  
Variable Capacity ◽  
Data Envelope Analysis ◽  
Using Data ◽  
The Stability

Research highlights the importance of potato crop, which occupies a prominent food and economic status in food security besides rice, wheat and corn at the local and global level. Despite the expansion of the cultivation of potato crop in Iraq in general and Ameriyah district in particular However, potato productivity remains substandard, this may be due to a lack of knowledge of the most efficient varieties and not to use productive resources at the levels at which technical, specialized and economic efficiency is achieved. Therefore, the aim of the research is to determine the technical, specialized and economic efficiency according to the cultivated seed category. The data envelope analysis (DEA) method was used to estimate technical, specialized and economic efficiency, assuming constant and variable capacity returns. As a result of the study, the Safrana variety achieved the highest average technical efficiency according to the stability of the yield and capacity efficiency in addition to achieving the highest average specialized and economic efficiency, The Lapadia variety achieved the highest average technical efficiency, assuming that capacity returns have changed. Therefore, we recommend the adoption of items that achieve higher efficiency and the need to redistribute the elements of production better and Achieving the optimum levels at which technical, specialized and economic efficiency is achieved and saving what has been wasted.

Effects of acute methamphetamine administration on spacing in paired rats: Investigation with an automated video-analysis method

1996 ◽  
Vol 20 (6) ◽  
pp. 1037-1049 ◽  
Author(s):  
Toshikazu Shinba ◽  
Ken-Ichi Yamamoto ◽  
Gong-Min Cao ◽  
G.O. Mugishima ◽  
Yoshinori Andow ◽  
...  
Keyword(s):  
Video Analysis ◽  
Analysis Method ◽  
Automated Video Analysis

scholarly journals RESPONS AL JAM’IYATUL WASHLIYAH TERHADAP TERORISME

2017 ◽  
Vol 22 (1) ◽  
pp. 1
Author(s):  
Ja'far Ja'far
Keyword(s):  
Data Analysis ◽  
Field Studies ◽  
Data Sources ◽  
Islamic State ◽  
Data Display ◽  
Analysis Method ◽  
Suicide Bombings ◽  
Library Research ◽  
The Government ◽  
Using Data

Al Washliyah merupakan satu di antara banyak organisasi Islam yang menolak paham dan gerakan terorisme di Indonesia. Artikel ini mengkaji respons Al Washliyah terhadap terorisme. Kajian ini menarik dilakukan, sebab organisasi ini memiliki pengikut yang fanatik dan mengelola amal usaha yang banyak, tetapi masih relatif jarang diteliti oleh para peneliti. Kajian ini merupakan studi lapangan (library research) dimana sumber datanya diperoleh dari kegiatan wawancara dan studi dokumen. Data dianalisis dengan menggunakan metode analisis data menurut Miles dan Huberman: reduksi data, pemaparan data, dan penarikan kesimpulan. Didasari dengan teori Matusitz, Pranawati, dan Golose tentang doktrin terorisme dimana gerakan ini ingin mendirikan negara Islam, memaknai jihad sebagai perang, anti terhadap non-Muslim, dan melegalkan bom bunuh diri, kajian ini akan menelaah respons Al Washliyah terhadap empat persoalan tersebut. Kajian ini mengajukan temuan bahwa Al Washliyah menolak paham dan gerakan terorisme yang muncul dan berkembang di Indonesia, dan para ulamanya menilai bahwa kaum teroris telah salah dalam memahami ajaran Islam. Temuan kajian ini dapat berkontribusi bagi pemerintah dalam upaya menanggulangi gerakan terorisme di Indonesia. Al Washliyah is one of Islamic organizations that rejects the concept of terrorism in Indonesia. This article examines Al Washliyah's responses to terrorism. This study is interesting because this organization has fanatic followers and manages many business charities, but rarely investigated by researchers. This research is field studies where the data sources obtained from the interviews activities and document studies. Data were analyzed by using data analysis method according to Miles and Huberman: data reduction, data display, and conclusion. Based on the theory of Matusitz, Pranawati, and Golose about terrorism doctrine in which the program wants to establish an Islamic state, interpret jihad as war, anti to non-Muslims, and legalize suicide bombings, this study will examine the Al Washliyah's responses to those four issues. This study proposes that Al Washliyah rejects the concept of terrorism which appears and develops in Indonesia, and ulama consider that terrorists have misunderstood on Islamic concept. The findings of this study may contribute to the government in combating terrorism movement in Indonesia.

The Research on C2C E-Commerce Website Using Data Mining Tools to Improve the Network Marketing Effect

2013 ◽  
Vol 433-435 ◽  
pp. 1885-1889
Author(s):  
Lu Feng ◽  
Zhan Quan Wen ◽  
Jie Mei Lin
Keyword(s):  
Data Mining ◽  
Analysis Method ◽  
Network Marketing ◽  
Data Mining Tool ◽  
Mining Tool ◽  
Using Data ◽  
Object Of Study ◽  
Hyperlink Analysis ◽  
Mining Tools

We used the principle of hyperlink analysis method to mine the website data according to the indicators of the hyperlink analysis. We selected Taobao.com as an object of study. The evaluation indicators of network marketing effect were page views, sales quantity, sales, the number of adding store to bookmark . According to our research, we find Taobao.com stores can use data mining tool to obtain the very good marketing effect.

Data Visualization And Sales Prediction of PD. Asia Agung (Ajinomoto) Pontianak in 2019

2020 ◽  
Vol 7 (2) ◽  
pp. 51-57
Author(s):  
Willy Yunus ◽  
Ririn Ikana Desanti ◽  
Wella Wella
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Original Data ◽  
Analysis Method ◽  
Average Income ◽  
West Kalimantan ◽  
Regression Methods ◽  
Sales Prediction ◽  
Independent Variable ◽  
Using Data

PD. Asia Agung Pontianak is the only official distributor of Ajinomoto in the West Kalimantan region. Every year this company needs to find out the amount of turnover that will be obtained in the coming year. Unfortunately, the company only makes predictions using the average income from each year which is very less accurate. This research is conduct to create visualizations and predictions using multiple linear regression methods to predict the turnover obtained in the coming year. Multiple linear regression is a regression analysis method that can use more than 2 variables in the prediction process which is divided into 2 parts, namely the dependent variable and the independent variable. The results obtained in this research are prediction results in 2019 using data from 2010 to 2018 as a basis. Prediction results show that the longer the data used the smaller the error rate obtained. The original data from the company is visualized using a dashboard on tableau software so that the data could be easier to analyze by the company.

Effective Video Shot Boundary Detection and Keyframe Selection using Soft Computing Techniques

2018 ◽  
Vol 8 (2) ◽  
pp. 27-48 ◽  
Author(s):  
Rashmi B S ◽  
Nagendraswamy H S
Keyword(s):  
Fuzzy Sets ◽  
Video Analysis ◽  
Boundary Detection ◽  
Extraction Methods ◽  
Video Data ◽  
Shot Boundary Detection ◽  
Keyframe Extraction ◽  
Soft Computing Techniques ◽  
Video Shot ◽  
Shot Boundary

The amount of video data generated and made publicly available has been tremendously increased in today's digital era. Analyzing these huge video repositories require effective and efficient content-based video analysis systems. Shot boundary detection and Keyframe extraction are the two major tasks in video analysis. In this direction, a method for detecting abrupt shot boundaries and extracting representative keyframe from each video shot is proposed. These objectives are achieved by incorporating the concepts of fuzzy sets and intuitionistic fuzzy sets. Shot boundaries are detected using coefficient of correlation on fuzzified frames. Further, probabilistic entropy measures are computed to extract the keyframe within fuzzified frames of a shot. The keyframe representative of a shot is the frame with highest entropy value. To show the efficacy of the proposed methods two benchmark datasets are used (TRECVID and Open Video Project). The proposed methods outperform when compared with some of state-of-the-art shot boundary detection and keyframe extraction methods.

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