scholarly journals Visualization and Experiential Learning of Mathematics for Data Analytics

Computation ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 37
Author(s):  
Venkatraman ◽  
Overmars ◽  
Wahr
Keyword(s):  
Experiential Learning ◽  
Data Analytics ◽  
Positive Impact ◽  
Information And Communications Technology ◽  
Industry Group ◽  
Innovative Methods ◽  
Mathematics Skills ◽  
And Mathematics ◽  
Ict Industry ◽  
Computational Skill

The information and communications technology (ICT) industry workforce is now required to deal with ’Big Data’, and there is a need to fill the computational skill shortage in data analytics. The integrated skills of combining computer and mathematics capabilities is much sought after by every industry embarking on digital transformation. Studies conducted internationally and by the Australian Industry Group show the requirements for improving computational skills in the workplace. This research takes a positive step to address this issue by introducing visualization and experiential learning in the ICT curriculum in order to uplift mathematics skills required for data analytics. We present the use of such innovative methods adopted in a higher education setting. The results and positive impact achieved through this study are presented.

The integration of a community service learning water project in a post-secondary chemistry lab

2021 ◽  
Author(s):  
Karen Ho ◽  
Boris S. Svidinskiy ◽  
Sahara R. Smith ◽  
Christopher C. Lovallo ◽  
Douglas B. Clark
Keyword(s):  
Service Learning ◽  
Experiential Learning ◽  
Secondary Students ◽  
Community Service ◽  
Positive Impact ◽  
Methodological Approach ◽  
Community Service Learning ◽  
Secondary Chemistry ◽  
Post Secondary ◽  
K 12

Community Service Learning (CSL) is an experiential learning approach that integrates community service into student projects and provides diverse learning opportunities to reduce interdisciplinary barriers. A semester-long chemistry curriculum with an integrated CSL intervention was implemented in a Canadian university to analyze the potential for engagement and positive attitudes toward chemistry as a meaningful undertaking for 14 post-secondary students in the laboratory as well as for their 400 K-12 student partners in the community. Traditionally, introductory science experiments typically involve repeating a cookbook recipe from a lab book, but this CSL project allowed the post-secondary and K-12 students to work collaboratively to determine the physical and chemical properties and total dissolved solids in the water fountains from the K-12 students' schools. Post-instructional surveys were completed by all learners and were analyzed using a mixed methodological approach with both quantitative and qualitative methods. The expected audience that may be interested in this study are those involved in teaching chemistry in higher education and at the K-12 level as well as those interested in service learning, community and civic engagement, experiential learning, and development of transferable skills in chemistry. The results demonstrate that both groups of students report favorable engagement and attitudes towards learning chemistry and higher self-confidence levels on performing lab skills after the activity. Furthermore, both groups of students expressed interest in exploring future projects, which is indicative of the positive impact of CSL and the mutual benefits of the partnership.

PEDAGOGICAL INTERACTION IN DR. THOMAS GORDON’S PROGRAMS

2021 ◽  
Vol 12 (1) ◽  
pp. 121-127
Author(s):  
Darina Georgieva ◽  
◽  
Maria Dishkova
Keyword(s):  
Effective Teachers ◽  
Positive Impact ◽  
Children And Youth ◽  
Target Groups ◽  
Innovative Methods ◽  
Effective Training ◽  
Teachers Training

The article provides a brief description of Dr. Thomas Gordon’s programs: Parents Effective Training, Training Effective Teachers, Training Effective Children and Youth. They have proved their efficiency in recent decades, combining traditional techniques with innovative methods of pedagogical interaction with children. On this basis, a study was conducted with 23 Bulgarian trainers in these programs. Their opinion is extremely important because they have observation of the target groups and the positive impact of what they have learned on their relationships with students, teachers, parents, children, youth. The survey was conducted with the help of a questionnaire, which consists of open and closed questions. The obtained results are summarized and analyzed.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

Data Analytics and STEM Student Success: The Impact of Predictive Analytics-Informed Academic Advising Among Undeclared First-Year Engineering Students

2018 ◽  
Vol 22 (3) ◽  
pp. 497-521 ◽  
Author(s):  
Yu (April) Chen ◽  
Sylvester Upah
Keyword(s):  
Higher Education ◽  
Student Success ◽  
Academic Advising ◽  
Data Analytics ◽  
Predictive Analytics ◽  
First Year ◽  
Program Of Study ◽  
Science Technology ◽  
Mathematics Student ◽  
And Mathematics

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success. This study took the first step to investigate the influence of using predictive analytics on academic advising in engineering majors. Specifically, we examined the effects of predictive analytics-informed academic advising among undeclared first-year engineering student with regard to changing a major and selecting a program of study. We utilized the propensity score matching technique to compare students who received predictive analytics-informed advising with those who did not. Results indicated that students who received predictive analytics-informed advising were more likely to change a major than their counterparts. No significant effects was detected regarding selecting a program of study. Implications of the findings for policy, practice, and future research were discussed.

Big data analytics capabilities and knowledge management: impact on firm performance

2019 ◽  
Vol 57 (8) ◽  
pp. 1923-1936 ◽  
Author(s):  
Alberto Ferraris ◽  
Alberto Mazzoleni ◽  
Alain Devalle ◽  
Jerome Couturier
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Data Analytics ◽  
Structural Equation ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Integrated Approach ◽  
Content Type ◽  
Decision Making Processes ◽  
External Sources

Purpose Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information for businesses and transformed into big data related-knowledge and efficient decision-making processes, thereby improving performance. However, the management of the knowledge generated from the BDA as well as its integration and combination with firm knowledge have scarcely been investigated, despite an emergent need of a structured and integrated approach. The paper aims to discuss these issues. Design/methodology/approach Through an empirical analysis based on structural equation modelling with data collected from 88 Italian SMEs, the authors tested if BDA capabilities have a positive impact on firm performances, as well as the mediator effect of knowledge management (KM) on this relationship. Findings The findings of this paper show that firms that developed more BDA capabilities than others, both technological and managerial, increased their performances and that KM orientation plays a significant role in amplifying the effect of BDA capabilities. Originality/value BDA has the potential to change the way firms compete through better understanding, processing, and exploiting of huge amounts of data coming from different internal and external sources and processes. Some managerial and theoretical implications are proposed and discussed in light of the emergence of this new phenomenon.

Computational Participation as a Portal to Collaborative STEM

2019 ◽  
pp. 334-347
Author(s):  
Ramya Sivaraj
Keyword(s):  
Experiential Learning ◽  
Real World ◽  
Stem Learning ◽  
Experiential Learning Theory ◽  
Digital Platforms ◽  
Sociocultural Perspectives ◽  
Innovative Solution ◽  
Problem Solving Strategies ◽  
Solution Design ◽  
And Mathematics

This chapter explores computational participation as an integrative portal, offering a model for integration across individual disciplines, with an emphasis on the transformative potential of innovative digital practices to engage learners in collaborative science, technology, engineering, and mathematics (hereafter “STEM”) learning. Drawing on sociocultural perspectives and Dewey's experiential learning theory, computational participation in STEM is examined with respect to how learners meaningfully engage with problem-solving strategies, innovative solution design, and multiple iterations of testing. Utilizing examples of interactive digital platforms, such as Scratch and Hypothes.is, this chapter makes a case for how computational participation in STEM creates opportunities for collaborative learning in the virtual and real world, while maintaining a central focus on real world issues. Integrating computational participation in STEM, consequently, supports active, experiential learning, where STEM learners are able to develop transferable conceptual understandings, along with application of skills, such as creativity, critical thinking, communication, and collaboration.

Government Involvement in Skills Issues

2011 ◽  
pp. 126-149
Author(s):  
Elizabeth Lahey
Keyword(s):  
The United States ◽  
Rate Of Change ◽  
Information And Communications Technology ◽  
Department Of Labor ◽  
Industry Sector ◽  
Technology Products ◽  
International Projects ◽  
Government Involvement ◽  
Ict Industry ◽  
Taking Action

Technology products and services make up approximately one-third of the U.S. economy. The statistics are similar around the globe. Governments are concerned because this industry sector significantly impacts employment and productivity rates. The birth of the information age and the criticality of knowledge workers had great potential. To date, however, the benefits are not fully realized. The rate of change in the industry has instead created a significant gap between the needs of employers and the skills of the workforce. While technology professionals cannot find jobs, employers claim they cannot hire workers with necessary skills portfolios. Government agencies are taking action to coordinate state, national, and international projects to bridge this skill gap. One project currently underway in the United States is the development of national skill standards for the information and communications technology (ICT) industry sector. It is funded by the Department of Labor.

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