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Application of Artificial Intelligence for Effective Teaching and Learning of Robotics Education in Schools
Content Structure of Application of Artificial Intelligence for Effective Teaching and Learning of Robotics Education in Schools
- The abstract contains the research problem, the objectives, methodology, results, and recommendations
- Chapter one of this thesis or project materials contains the background to the study, the research problem, the research questions, research objectives, research hypotheses, significance of the study, the scope of the study, organization of the study, and the operational definition of terms.
- Chapter two contains relevant literature on the issue under investigation. The chapter is divided into five parts which are the conceptual review, theoretical review, empirical review, conceptual framework, and gaps in research
- Chapter three contains the research design, study area, population, sample size and sampling technique, validity, reliability, source of data, operationalization of variables, research models, and data analysis method
- Chapter four contains the data analysis and the discussion of the findings
- Chapter five contains the summary of findings, conclusions, recommendations, contributions to knowledge, and recommendations for further studies.
- References: The references are in APA
- Questionnaire
Abstract of Application of Artificial Intelligence for Effective Teaching and Learning of Robotics Education in Schools
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.
Artificial intelligence can dramatically improve the efficiencies of our workplaces and can augment the work humans can do. When AI takes over repetitive or dangerous tasks, it frees up the human workforce to do work they are better equipped for—tasks that involve creativity and empathy among others.
AI can automate the expedition of administrative duties for teachers and academic institutions. Educators spend a lot of time on grading exams, assessing homework, and providing valuable responses to their students. But technology can be used to automate the grading tasks where multiple tests are involved.
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Changes that have been implemented in schools are now moving outside the classroom. Companies are advertising new employment opportunities, tailored to the new curricula. However, it is not clear whether the new curricula and new school structures motivated industry to define new types of workers, or whether the need for new types of workers, a few years back, inspired the push for new curricula and changes in the school environment.
In addition to the industrial push, new government policies are underway to support changes in education (especially in elementary education) in Europe. The study will investigate application of artificial intelligence for effective teaching and learning of robotics education in schools.
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