Prof. I. E. Idaka, Anele, Ezebunwo, Ekereke, Aidam Benjamin, Beshel, Ignatius Akwagiobe, Emmanuel King Ekong & 2Ogba, Uwaoma Flora Ph.D
AN ANALYSIS OF GENDER AND LOCATION BASED DIFFERENTIAL ITEM FUNCTIONING (DIF) IN AI-GENERATED MATHEMATICS QUESTIONS IN CALABAR MUNICIPALITY LOCAL GOVERNMENT
AREA OF CROSS RIVER STATE, NIGERIA”
The study examined gender and location-based differential item functioning (DIF) in AI-generated mathematics multiple-choice examination questions?in the Calabar Municipality Local Government Area, Cross River State, Nigeria. Two objectives were developed that direct the study in accordance with the research questions. The study used a survey research design using a stratified random sampling approach to collect a sample of 400 secondary school students from the Calabar Municipality Local Government Area. Data for analysis was collected using AI-generated mathematics multiple-choice questions. Kuder-Richardson 20 was used to establish the reliability of the study and yielded a coefficient of .81. The research questions were subsequently tested using Bilog-MG 3. The findings revealed that there were ability disparities between male and female counterparts in AI-generated mathematics multiple-choice tests, and there were ability disparities between urban and rural counterparts in AI-generated mathematics multiple-choice questions. It was determined that there was an incidence of gender?and school?location ?Differential Item Functioning (DIF)? in an AI-generated mathematics multiple choice test questions?in Calabar Municipality Local Government. Based on the research findings, it was suggested, among other things, that schools and governments embrace AI and validate AI-generated test questions?for classroom usage.
Keywords: Gender, School Location, Differential Item Functioning (DIF), Artificial Intelligence (AI).
Prof. I. E. Idaka, Anele, Ezebunwo, Ekereke, Aidam Benjamin, Beshel, Ignatius Akwagiobe, Emmanuel King Ekong & 2Ogba, Uwaoma Flora Ph.D
AN ANALYSIS OF GENDER AND LOCATION BASED DIFFERENTIAL ITEM FUNCTIONING (DIF) IN AI-GENERATED MATHEMATICS QUESTIONS IN CALABAR MUNICIPALITY LOCAL GOVERNMENT AREA OF CROSS RIVER STATE, NIGERIA”
The study examined gender and location-based differential item functioning (DIF) in AI-generated mathematics multiple-choice examination questions?in the Calabar Municipality Local Government Area, Cross River State, Nigeria. Two objectives were developed that direct the study in accordance with the research questions. The study used a survey research design using a stratified random sampling approach to collect a sample of 400 secondary school students from the Calabar Municipality Local Government Area. Data for analysis was collected using AI-generated mathematics multiple-choice questions. Kuder-Richardson 20 was used to establish the reliability of the study and yielded a coefficient of .81. The research questions were subsequently tested using Bilog-MG 3. The findings revealed that there were ability disparities between male and female counterparts in AI-generated mathematics multiple-choice tests, and there were ability disparities between urban and rural counterparts in AI-generated mathematics multiple-choice questions. It was determined that there was an incidence of gender?and school?location ?Differential Item Functioning (DIF)? in an AI-generated mathematics multiple choice test questions?in Calabar Municipality Local Government. Based on the research findings, it was suggested, among other things, that schools and governments embrace AI and validate AI-generated test questions?for classroom usage. Keywords: Gender, School Location, Differential Item Functioning (DIF), Artificial Intelligence (AI).