Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/3892
Title: IMPACT OF INTELLIGENT LEARNING ON STUDENTS’ ACHIEVEMENT AND INTEREST IN TECHNICAL DRAWING IN NIGER STATE, NIGERIA
Authors: James, C. S.
Shiitu, B. K.
Hassan, A. M.
Keywords: Technical drawing, Intelligent learning, Achievement, Interest
Issue Date: Oct-2019
Publisher: 32nd Annual National Conference and Annual General Meeting of Technology Education Practitioners Association of Nigeria
Citation: 1. C. S. James, B. K. Shittu & A. M. Hassan (2019) Impact of Intelligent Learning on Students Achievement and Interest in Technical Drawing in Niger State, Nigeria. In: A. S. Bappah, J.M. Mafwalai, S.A. Adebayo, R. Ager & P. S. WIlliams (Eds) TVET and Climate Change Information needs for Sustainable Environmental Protection in Nigeria. Proceedings of the 32nd Annual National Conference and Annual General Meeting of Technology Education Practitioners Association of Nigeria, 304-310
Abstract: The study investigated the impact of Intelligent learning on students’ achievement and interest in in Technical drawing in Abuja and Niger State, Nigeria. Two research questions were raised and two hypotheses were formulated and tested at .05 level of significance. Pretest-posttest non-equivalent control group design of quasi experimental study was used for the study. The population for the study consisted of 428 National Technical College (NTC) II students. The sample size for this study consisted of 180 students, with 68 students in the experimental group and 112 students in the control group. Purposive sampling technique was used in selecting and assigning Government Technical College, Minna to the experimental group and Simple Random Sampling (SRS) technique was used in selecting and assigning MammanKontagora Technical College (MKTC), Pandogari to the control group. The instruments used for data collection were Technical Drawing Achievement Test (TDAT) andTechnical DrawingInterest Inventory (TDII). The instruments were validated by two experts from Federal University of Technology, Minna and one expert in test development unit, National Examination Council, Minna. The reliability coefficient of TDAT was found to be 0.77 using Pearson Product Moment Correlation coefficient and of TDII was found to be 0.79, using Cronbach’s Alpha. Mean was used to answer the research questions; while ANCOVA was employed to test the hypotheses. Findings of the study revealed that Intelligent learning is more effective in improving student’s achievement and stimulating student’s interest in Technical drawing than conventional teaching method. It was therefore recommended that teachers, especially those teaching Technical drawing should adopt Intelligent learning to teach students at technical colleges.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/3892
Appears in Collections:Industrial and Technology Education

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