Running Head: ARTIFICIAL INTELLIGENCE        1
ARTIFICIAL INTELLIGENCE        6
ARTIFICIAL INTELLIGENCE: THE IMPACT ON EDUCATION AND THE WORK FORCE
Abstract
In the current research project the impact of artificial intelligence on education and workforce has been considered as the chosen topic. The research introduces the research aim and objectives in the introduction chapter and based on the variables identified in the introduction chapter, the literature review chapter is composed in the following section. The researcher has made use of primary research strategy and has framed 5 questions each for two specific samples- one for the education and another for the workforce. Based on the data findings research implications and conclusion is also provided, aiding readers’ comprehensiveness.
Table of Contents
Introduction    5
Background    5
Research problem    5
Research Aim and Objectives    6
Literature Review    6
Artificial Intelligence    6
Factors Effecting Artificial Intelligence    6
Modern Education Needs    7
Modern Workforce Needs    7
Methodology    8
Participants    8
Research Methods    8
Instrument    8
Strategies for Data Collection    9
Getting Access    9
Analysis of Findings from Questionnaires    9
Data Analysis    9
Ethics Consideration    9
Limitation of the Study    10
Discussion of the Findings    10
Questionnaire 1: 50 Randomly Chosen Teachers from Australian Education Organisations    10
Questionnaire 2: 50 Randomly Chosen Managers from Australian Organisations    15
Implications of Research    20
Conclusion    20
References    21
Appendices    22
Appendix 1: Questionnaires 1    22
Appendix 2: Questionnaires 2    24
List of Tables
Table 1: Perception on the Use of AI in Education    12
Table 2: Potential Hazard of AI in Education    13
Table 3: Frequency of AI Improving Innovation and Learning    14
Table 4: AI as a Threat to Teachers’ Employability    15
Table 5: Improvement of AI in Education    16
Table 6: Frequency of AI Improving Workforce Accuracy and Performance    17
Table 7: Frequency of AI Reducing Workforce Flexibility    18
Table 8: Frequency of AI and Manager Comparison in Managing Workforce    19
Table 9: Hazards of AI in Managing Workforces    20
Table 10: Ways to Improve AI on Managing Workforce    21
List of Figures
Figure 1: Perception on the Use of AI in Education    12
Figure 2: Potential Hazard of AI in Education    13
Figure 3: Frequency of AI Improving Innovation and Learning    14
Figure 4: AI as a Threat to Teachers’ Employability    15
Figure 5: Improvement of AI in Education    16
Figure 6: Frequency of AI Improving Workforce Accuracy and Performance    17
Figure 7: Frequency of AI Reducing Workforce Flexibility    18
Figure 8: Frequency of AI and Manager Comparison in Managing Workforce    19
Figure 9: Hazards of AI in Managing Workforces    20
Figure 10: Ways to Improve AI on Managing Workforce    21
Introduction
Background
    The development of the Artificial Intelligence (AI) technology has been a remarkable achievement in the history of human science and as well as Information Technology (IT). However, the necessity of creating the AI technology and its application has been a matter of debate, having equal response for and against the use of AI. The way AI technology imitates the human learning patterns; give it a very effective and accurate functional dynamics, however, there are areas of improvement, evidently observed. In the current research project, the impact of AI technology on the current educational system and the workforces has been discussed in details.
Research problem
    The use of AI technology has been promoted as a human like learning and functioning technique without human errors and therefore, has been incorporated in educational organisations for students teaching, subject selection, question formulation and students’ merit evaluation. Taking cue from the situation, Grewal, Motyka and Levy (2018), stated that AI is making education more accurate and effective on one hand and on the other is losing the human appeal of learning, making the learning process lack innovation.
In case of assessing impact of AI on the workforces, the opinions are polarising. As identified by Furey and Martin (2019), the use of AI is also evident in the workplaces, positing higher productivity on one hand, while on the other hand, creating adverse impact on the scope of employability. Based on the identified aspect of the use of AI in education and in workforce, the problem tends to arise from the question whether AI should be used for betterment of education and workforce performance, or should not be used for maintaining human appeal and human based social perceptions.
Research Aim and Objectives
    The aim of the current research is to assess the impact of AI on education and workforce. Based on the aim, the research objectives are framed and are mentioned below.
· To assess the necessity of using AI in Education and Workforce
· To assess the merits and de-merits of using AI in Education and Workforce
· To find ways to improve the use of AI in Education and Workforce
Literature Review
Artificial Intelligence
    The development of AI technology has been based upon the remarkable processing engines developed on data algorithm frameworks. As stated by Kuleshov (2018), AI uses algorithms for predict results similar to other algorithm based systems, however, the use of human data in collective formats, processing them in minute details and the use of neural framework makes the AI system more complex and human like in its functioning. However, as argued by Agarwal (2018), AI, although being very advanced, is at the end of day an algorithm-based system, which makes it prone to error and vulnerable to manipulation.
Factors Effecting Artificial Intelligence
    Firstly, the availability of Information Technology and internet are major factors of AI technology development. As mentioned by Hao et al. (2019), AI is based on data collection and processing, and while IT helps in the data processing for algorithm development the internet helps in the transmission of data from generic to specific databases, leading to accurate processing of relevant data. As identified by Bosch, Olsson and Crnkovic (2018), development of high speed computing hardware such as neural engines, microprocessors, modems and storage devices have helped in the development of AI technology. In addition, the development of cloud computing has also been a major contributors in the development of AI technology, as it has ensured the sharing of data via internet connected devices, offering the effectiveness functioning of the AI technology.
Modern Education Needs
    Based on the increasing needs of vocational training and the reduction of theoretical and professional learning, along with the development of global citizenship lifestyle, the modern educational sector has transitioned from its usual pattern. As opined by Hoffmann-Longtin, Rossing and Weinstein (2018), the modern education has included the aspect of online learning, personalised course offering, long-distance education increasing frequencies. In order to make the educational offering more customisable, the degree of similarity reduction in terms of student or learners’ evaluation of merit, and to assess the potential of innovative approach without error, the use of AI has become necessary and is a very logical need in modern education.
Modern Workforce Needs
    The modern workforce efficiency in propelling business organisations towards benefit are not reliant on employee performance and skill usage, but on the accuracy of work, in...