Ondigi, S. R.Ayot, Henry O.Omariba, Alice2014-07-232014-07-232014-07-23http://ir-library.ku.ac.ke/handle/123456789/10575A research thesis submitted in fulfillment of the requirements for the award of the degree of doctor of philosophy (educational technology) in the school of education of Kenyatta University, February, 2016This study is concerned with teachers' preparedness in integrating ICT in public teacher training colleges. The rationale is based on the view that properly designed, learning materials inspired by integration of ICT and delivered by technology add value to a teaching environment on which contact hours are limited. The curriculum needs academic standards and the development of digital age skill for the 21st century learners if vision 2030 and beyond education goals have to be realized. The literature review focuses on the meaning of ICT, Global ranking on integration of ICT, Global overview of ICT use in education, Integration of ICT in Africa, Status of integration of lCT in education in Africa, Readiness in the integration of lCT in Kenya, Integrating ICT and education in Kenya, the rationale for integrating lCT in education, and challenges of integrating technology in the primary teacher curriculum. A descriptive survey design will be in the study which will be conducted in four (4) public primary teacher training colleges in Central region ofKenya. The region has four public teacher training colleges. These will provide an ideal population for the study. The target population will be tutors, second year student teacher trainees, College principals and Kenya Institute of Curriculum Development (KICD) e-learning Officers. The major research instruments will be questionnaires for tutors and student teacher trainees, interview schedule for the principals and Kenya Institute of Curriculum Development elearning developers, and observation schedule. The obtained data will be analyzed systematically using descriptive statistics, the Statistical Package for Social Sciences (SPSS). Both Quantitative data and. qualitative data will be analyzed descriptively using descriptive and inferential statistics. The results obtained will be reported, discussed, summarized, conclusion drawn and necessary recommendations be made.enThesis