The study explored the Impact of Artificial Intelligence on Communication in College of Education in Gombe State, Nigeria. Specifically, the study was set to: assess the impact of artificial intelligence tools on communication in colleges of education in Gombe State, Nigeria. This objective was framed into a research question and a hypothesis respectively. Survey research design was used in the study. The population of the study was made up of 3,181 respondents which comprised 1,658 lecturers and 1,523 senior management staff in the three (3) government owned Colleges of Education in Gombe State, Nigeria. A sample size of 346 participants, consisting of 180 and 166 senior management staff were used in the study. The instrument titled “Questionnaire on Artificial Intelligence Tools and Automation of Routine Administrative Task (QARITARAT)” was used for data collection in the study. The validated instrument was pilot tested, the reliability co-efficient was determined using Cronbach Alpha statistic and a reliability coefficient of 0.82 was obtained. The data collected in the study was computerized into database using Statistical Package for Social Sciences (SPSS) version 23.0. The descriptive statistics of frequency counts, mean and standard deviation was used to answer the research question, while Chi-square (2) was used to test the hypothesis at 0.05 level of significance. Findings revealed that significant difference does exist in the impact of artificial intelligence on communication in colleges of education in Gombe State, Nigeria. It was recommended among others that, the management of colleges of education should carefully deploy artificial intelligence tools in automating routine administrative tasks within the tertiary institutions so as to forestall the negative impact of the technology on institutions’ data. The management of the colleges of education should consider ethical factors and significant challenges that integrating artificial intelligence tools poses which include potential for bias, privacy breaches, and loss of human touch among others.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
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This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
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The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
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It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...
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