Integrating AI in Classroom Management: Improving Educational Efficiency and Teacher Workflows

Abstract

Background: The use of artificial intelligence (AI) in educational management has become interesting as it helps increase educational quality and ease teachers’ work. Nonetheless, the influence of AI tools on practice and outcomes of teaching has not been adequately researched.

Aim: The present study attempts to establish the role that AI plays in enabling effective management of the classroom by determining the relationships between AI tool utilization, effectiveness, and satisfaction.

Methods: A cross-sectional approach was adopted where an online self-administered quantitative questionnaire was targeting 250 teachers in primary, secondary, and tertiary institutions. Primary data was collected using a structured questionnaire to gather the respondents’ socio-demographic characteristics, usage frequency of AI tools, their effectiveness, and satisfaction with such tools. Descriptive statistics, correlation analysis, and regression models were used to evaluate the data. Normality and reliability of the data were established to strengthen the results of the study.

Results: See the figures above. The majority of the sample opinioned that AI tools were effective (51%). Most effectiveness ratings (36%, see Table 7) placed 3-5 on a Liker Type Scale were in consensus. However, in the study, it was established that the frequency of AI work did not correlate with its use effectiveness(r = -0.053). The Internal consistency analysis demonstrated low (0.0628) Cronbach’s alpha value which discredited the items as measuring similar constructs. As per regression analysis performed with many variables, surprisingly, they did very little to explain the perception of the effectiveness of AI tools (R² = -0.0604).

Conclusion: The data collected demonstrates that in general AI tools are favored by the teachers and that they are likely to utilize them throughout the process of enhancing classroom management and even workflows. However, the two factors are not likely to correlate. Other variables including the kind of AI tool as well as possibly their implementation could vary the extent to which AI tools will be successful. More studies need to be initiated to further perfect the tools that measure AI's impact on education and the methodological conditions that are required to impact positively on the integration of AI in education.