The impact of functional interdependencies of computer simulations on collaborative learning: Evidence from multiple sources

2021 ◽  
Author(s):  
Chen‐Chung Liu ◽  
Tsun‐Wei Lin ◽  
Chia‐Hui Cheng ◽  
Cai‐Ting Wen ◽  
Ming‐Hua Chang ◽  
...  
Keyword(s):  
Collaborative Learning ◽  
Computer Simulations ◽  
Multiple Sources ◽  
The Impact

scholarly journals The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi
Keyword(s):  
Saudi Arabia ◽  
Big Data ◽  
Inventory Management ◽  
New Technologies ◽  
Predictive Analytics ◽  
Business Environment ◽  
Primary Data ◽  
Research Approach ◽  
Multiple Sources ◽  
The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

scholarly journals The Impact of Game-Based, Modeling, and Collaborative Learning Methods on the Achievements, Motivations, and Visual Mathematical Literacy Perceptions

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110035
Author(s):  
Aziz İlhan
Keyword(s):  
Collaborative Learning ◽  
Control Group ◽  
Conventional Instruction ◽  
Game Based Learning ◽  
Mathematical Literacy ◽  
Learning Methods ◽  
Learning Groups ◽  
The Mean ◽  
The Impact ◽  
Experimental Group

The present study aimed to investigate the effects of geometry instruction activities conducted in nature based on modeling, game-based, and cooperative learning methods on achievement, mathematical motivation, and visual mathematical literacy perceptions of third-grade elementary school students. The present study is a quantitative study conducted with a pre-test/post-test experimental design with a control group. The study was conducted with 61 students (35 students in the experimental group and 26 students in the control group). Modeling-, game-, and collaborative learning-based activities were conducted with the students in the experimental group. It was determined that the achievements of students who were instructed with modeling-based activities in geometry were high when compared to that of the students instructed with collaborative learning- and game-based methods, and those in the control group where no intervention was applied. This group was followed by the game-based and collaborative learning groups. Based on the variable of motivation, the mean motivation of the students in the modeling group was higher when compared to that of the students in the collaborative learning, game-based, and conventional instruction groups. This group was followed by the collaborative and game-based learning groups. Also, based on the visual mathematical literacy perception variable, the mean visual mathematics literacy perception of the students in the collaborative learning group was higher when compared to that of the students in the groups where the modeling, game-based, and conventional instruction methods were used. This group was followed by the modeling and game-based learning groups.

scholarly journals Collaborative Learning in Makerspaces: A Grounded Theory of the Role of Collaborative Learning in Makerspaces

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110207
Author(s):  
Kolja Oswald ◽  
Xiaokang Zhao
Keyword(s):  
Grounded Theory ◽  
Collaborative Learning ◽  
Venture Creation ◽  
Theoretical Understanding ◽  
Innovative Environment ◽  
Open Coding ◽  
Axial Coding ◽  
The Impact ◽  
Emergent Theory

Makerspaces are a relatively new phenomenon that seem to create an innovative environment for individuals to work on projects and learn about technology. This article presents a grounded theory study, which investigates the impact that makerspaces have on innovation. Strauss and Corbin’s grounded theory methodology is used to research this exploratory topic. The data sample consists of 16 interviews of members of a makerspace in Shanghai, China. Data analysis was conducted abiding by Strauss and Corbin’s coding framework, entailing open coding, axial coding, and selective coding as well as coding tools, such as the coding paradigm and the conditional matrix. Collaborative learning was identified as the core phenomenon of this research, and The Collaborative Learning and its Outcomes Theory was created. The emergent theory contributes to the understanding of how makerspaces impact outcomes, such as innovation and venture creation, as well as explain how collaborative learning in conjunction with other modes of learning can facilitate learning at various complexities. As such, this study’s contributions are in developing the theoretical understanding of makerspaces as well as collaborative learning. It offers managerial and pedagogical implications that can help create learning environments where collaborative learning is fostered.

An Analysis of The Impact of Short-Term Vacation Rentals on the Hotel Industry

2021 ◽  
pp. 109634802110191
Author(s):  
Jungtae Soh ◽  
Kwanglim Seo
Keyword(s):  
Economic Effect ◽  
Hotel Industry ◽  
Price Difference ◽  
Multiple Sources ◽  
Short Term ◽  
Hotel Performance ◽  
Negative Effect ◽  
Research Gap ◽  
The Impact ◽  
Scholarly Attention

Much scholarly attention has been paid to Airbnb’s influence on the hotel industry. However, extant studies have limitations because they consider only Airbnb while overlooking various other short-term vacation rental players that can also affect performance of hotels. To address this research gap, this study aims to provide a broader understanding of the impacts of short-term vacation rentals by analyzing data obtained from various vacation rental platforms. This study shows that while increase in short-term vacation rentals has an overall negative effect on hotel performance, the economic effect is more significant in the low-end market than in the high-end market. Our findings further reveal that the negative effect is reduced when there is a large price difference between short-term vacation rentals and hotels. By comprehensively examining multiple sources of data on hotels and vacation rentals, this study brings alternative perspectives to the attention of researchers for further investigation of vacation rentals.

scholarly journals Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1432
Author(s):  
Xwégnon Ghislain Agoua ◽  
Robin Girard ◽  
Georges Kariniotakis
Keyword(s):  
Satellite Images ◽  
Forecast Accuracy ◽  
Absolute Error ◽  
Data Sources ◽  
Test Case ◽  
Temporal Data ◽  
Multiple Sources ◽  
Forecasting Error ◽  
Spatio Temporal ◽  
The Impact

The efficient integration of photovoltaic (PV) production in energy systems is conditioned by the capacity to anticipate its variability, that is, the capacity to provide accurate forecasts. From the classical forecasting methods in the state of the art dealing with a single power plant, the focus has moved in recent years to spatio-temporal approaches, where geographically dispersed data are used as input to improve forecasts of a site for the horizons up to 6 h ahead. These spatio-temporal approaches provide different performances according to the data sources available but the question of the impact of each source on the actual forecasting performance is still not evaluated. In this paper, we propose a flexible spatio-temporal model to generate PV production forecasts for horizons up to 6 h ahead and we use this model to evaluate the effect of different spatial and temporal data sources on the accuracy of the forecasts. The sources considered are measurements from neighboring PV plants, local meteorological stations, Numerical Weather Predictions, and satellite images. The evaluation of the performance is carried out using a real-world test case featuring a high number of 136 PV plants. The forecasting error has been evaluated for each data source using the Mean Absolute Error and Root Mean Square Error. The results show that neighboring PV plants help to achieve around 10% reduction in forecasting error for the first three hours, followed by satellite images which help to gain an additional 3% all over the horizons up to 6 h ahead. The NWP data show no improvement for horizons up to 6 h but is essential for greater horizons.

Information and mechanical models of intelligence

2005 ◽  
Vol 13 (3) ◽  
pp. 565-582 ◽  
Author(s):  
Maria Eunice Quilici Gonzalez
Keyword(s):  
Cognitive Science ◽  
Computer Simulations ◽  
Advanced Technology ◽  
Main Topic ◽  
Social Environments ◽  
Meaningful Information ◽  
Intelligent Behavior ◽  
Mechanical Models ◽  
The Mind ◽  
The Impact

The impact of new advanced technology on issues that concern meaningful information and its relation to studies of intelligence constitutes the main topic of the present paper. The advantages, disadvantages and implications of the synthetic methodology developed by cognitive scientists, according to which mechanical models of the mind, such as computer simulations or self-organizing robots, may provide good explanatory tools to investigate cognition, are discussed. A difficulty with this methodology is pointed out, namely the use of meaningless information to explain intelligent behavior that incorporates meaningful information. In this context, it is inquired what are the contributions of cognitive science to contemporary studies of intelligent behavior and how technology may play a role in the analysis of the relationships established by organisms in their natural and social environments.

Conceptualizing Computer Simulations in Philosophy of Science

2021 ◽  
Vol 58 (2) ◽  
pp. 151-169
Author(s):  
Timur V. Khamdamov ◽  
Mikhail Yu. Voloshin ◽  
Keyword(s):  
Philosophy Of Science ◽  
Computer Simulations ◽  
Russian Philosophy ◽  
Main Role ◽  
Controversial Issues ◽  
Taxonomic Problem ◽  
Basic Characteristics ◽  
The One ◽  
Definition Of ◽  
The Impact

In the modern Russian philosophy, discussions about the phenomenon of computer simulations in the scientific research practice of conducting experiments are just beginning to pass the stage of initiation in small interdisciplinary groups studying this new direction for the philosophy of science. At the same time, in Western philosophy by the current moment there have been formed entire directions for the study of computer simulations. Different groups of researchers in different ways form ideas about the basic characteristics of simulations: from skeptical views on their nature, which are of no philosophical interest, to extremely revolutionary attitudes that assign simulations to the main role in the next expected turn of philosophy, comparable in its power to the linguistic turn in early XX century. One of the main controversial issues in Western philosophical thought was the search for relevant criteria and signs of simulations that could create a solid basis for formulating a rigorous definition of this phenomenon. Thus, through the definition, researchers first of all try, on the one hand, to solve the taxonomic problem of the correlation and interconnection of simulations with other types of experiment: natural, laboratory, mental, mathematical. On the other hand, to reveal for philosophy ontological and epistemological foundations of simulations, which carry the potential of new philosophical knowledge. This article is devoted to a brief review of the existing concepts of representatives of Western schools of thought on the phenomenon of computer simulations in the context of the philosophy of science. The structure of the review is built on three basic conceptual directions: 1) definition of the term "computer simulation"; 2) computer simulations as an experiment; 3) the epistemic value of simulations. Such a review can become the subject of discussion for Russian researchers interested in the impact of computer simulations on science and philosophy.

Impact of Collaborative Learning Strategies on Social Maturity of Secondary School Students

2021 ◽  
pp. 249-259
Author(s):  
J. N. Baliya ◽  
Shivani Sharma
Keyword(s):  
Collaborative Learning ◽  
Secondary School ◽  
Learning Strategies ◽  
Secondary School Students ◽  
Traditional Learning ◽  
Critical Ratio ◽  
School Students ◽  
Social Maturity ◽  
Post Test ◽  
The Impact

The purpose of this research was to study the impact of collaborative learning strategies on social maturity and its various dimensions viz. personal adequacy, interpersonal adequacy, and social adequacy, of secondary school students. The study was quasiexperimental and used matched pairs pre-test post-test research design. A Higher Secondary School in Educational Zone Hiranagar of District Kathua was chosen for the intervention. The study was conducted on sixty-six students of two sections of class 9th. Two sections were randomly assigned to collaborative and traditional learning conditions. Four methods of collaborative learning viz. Think-Pair-Share, Numbered Heads Together, Jigsaw, and Fish-Bowl were used for a period of over five weeks. The results were analyzed using mean, standard deviation and a critical ratio (CR). The results of the study showed that this approach was successful in increasing personal adequacy, interpersonal adequacy, social adequacy and overall social maturity of secondary school students.

scholarly journals Numerical investigation of the fatal 1985 Manchester Airport B737 fire

2017 ◽  
Vol 121 (1237) ◽  
pp. 287-319 ◽  
Author(s):  
E. R. Galea ◽  
Z. Wang ◽  
F. Jia
Keyword(s):  
Wind Speed ◽  
Numerical Investigation ◽  
Computer Simulations ◽  
Potential Benefit ◽  
Fire Plume ◽  
Significant Difference ◽  
Actual Fire ◽  
The Right ◽  
The Impact ◽  
Burn Through

ABSTRACTIn this paper, fire and evacuation computer simulations are used to reconstruct the 1985 Manchester Airport B737 fire that resulted in the loss of 55 lives. First the actual fire and evacuation are reconstructed. Secondly, the impact of exit opening times and external wind on the fire and evacuation are investigated. Finally, the potential benefit offered by modern materials is evaluated. The results suggest that the number of fatalities could have been reduced by 87% had the forward right exit not malfunctioned and by 36% had the right over-wing exit been opened without delay. Furthermore, given the fuel pool size and location, a critical wind speed of 1.5m/s is necessary to cause the fire plume to lean onto the fuselage eventually resulting in fuselage burn-through. Finally, it is suggested that the use of modern cabin materials could have made a significant difference to the fire development and survivability.

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