Online innovations have been growing rapidly in the past number of years. The integration of online learning with these technological advancements creates significant challenges in determining how the use of technology can contribute to the delivery of learning materials. An area where little research has been undertaken is in determining the skills and attributes online facilitators need to be effective. This study is based on inputs gathered from both online facilitators and online learners. These inputs provided empirical information pertaining to the roles and tasks of both facilitators and learners in an ideal online learning environment. Of what benefit would this study be to future online learning? Taking cognisance of an ideal online environment, the outcomes of this study are categorised into unique groups that will provide insight to the future development of online facilitators and the tasks to be executed in addressing the diverse needs of the online learner in the knowledge era. / Dissertation (MEd (CIE))--University of Pretoria, 2005. / Curriculum Studies / unrestricted

Distance education (DE) is now recognised as an education system independent from conventional face-to-face education. It has self-governing theories and pedagogies. It attracts students with unique characteristics different from those of on-campus students. The present distance learning student differs from the past ones by characteristics, needs and contexts. Not all students registering for distance learning conform to the characteristics of distance students described in theory. It is now acknowledged that DE systems demand special skills including time management, self-regulation and independent learning skills. Yet, few of these students enter into distance learning with prior experiences on its demands. The new student is compelled to learn to deal with challenges that come with DE i.e. the impact of ‘distance’, isolation and time management. ‘The net generation’ and ‘digital natives’ are now in college but with skills not automatically transferable to learning technologies. Information and communication technologies (ICT) providers are mostly focused on the ‘use’ rather than the ‘user’. Universities are continuously adopting new technologies leaving the student bewildered as to the focus; learning or technology training. The internet has ‘everything’; open course ware (OCW), open education resources (OERS), wikis and all web information. Students cannot simply find things for themselves. Furthermore distance learning has no policy on how to engage with the internet and students are left to decide what, which and how much is required for any level of study. Most universities in Africa moving from single to dual mode have not integrated distance learning pedagogy which requires restructuring in the organisation, policy and course development. DE, though spanning over two centuries has been mutually dependent on technology. The present technology demands a paradigm shift from that of correspondence days. These issues have created the need for support strategies that can literally accompany the DE student throughout his/her academic journey. Universities have established DE units, campuses and schools for a variety of reasons. It is required that such universities provide learner support systems for their students. The purpose of this study was to assess the learner support services available for distance learning undergraduate students in two universities in Kenya i.e. Northern University (NU) and Western University (WU). A Learner support system can comprise of numerous components. In this study, nine (9) components/indices were tested as the indices for providing support services. These are:- registration procedures, orientation programme and skills training, technology and learning materials, counselling and mentorship, interactions and communication, feedback, regional centres and library, students association and representation and course progression and satisfaction. This study employed an evaluation research design utilising both quantitative and qualitative methods. Online questionnaires were used for quantitative data collection. For qualitative data collection two (2) instruments were used; an interview schedule for key programme implementers and a documentary analysis tool for documents and websites. The findings indicated that the main indices that distinguished the two universities were registration process, technology and learning materials, counselling/mentorship and regional centres where the t-test showed significant differences. The p values were 0.008, 0.012, 0.036 and 0.015 respectively at 0.05 significance level. In all of them, Northern University (NU) had a relatively high mean score than Western University (WU) except for the index on counselling and mentorship. / Educational Foundations / D. Ed. (Socio-Education)

Distance education (DE) is now recognised as an education system independent from conventional face-to-face education. It has self-governing theories and pedagogies. It attracts students with unique characteristics different from those of on-campus students. The present distance learning student differs from the past ones by characteristics, needs and contexts. Not all students registering for distance learning conform to the characteristics of distance students described in theory. It is now acknowledged that DE systems demand special skills including time management, self-regulation and independent learning skills. Yet, few of these students enter into distance learning with prior experiences on its demands. The new student is compelled to learn to deal with challenges that come with DE i.e. the impact of ‘distance’, isolation and time management. ‘The net generation’ and ‘digital natives’ are now in college but with skills not automatically transferable to learning technologies. Information and communication technologies (ICT) providers are mostly focused on the ‘use’ rather than the ‘user’. Universities are continuously adopting new technologies leaving the student bewildered as to the focus; learning or technology training. The internet has ‘everything’; open course ware (OCW), open education resources (OERS), wikis and all web information. Students cannot simply find things for themselves. Furthermore distance learning has no policy on how to engage with the internet and students are left to decide what, which and how much is required for any level of study. Most universities in Africa moving from single to dual mode have not integrated distance learning pedagogy which requires restructuring in the organisation, policy and course development. DE, though spanning over two centuries has been mutually dependent on technology. The present technology demands a paradigm shift from that of correspondence days. These issues have created the need for support strategies that can literally accompany the DE student throughout his/her academic journey. Universities have established DE units, campuses and schools for a variety of reasons. It is required that such universities provide learner support systems for their students. The purpose of this study was to assess the learner support services available for distance learning undergraduate students in two universities in Kenya i.e. Northern University (NU) and Western University (WU). A Learner support system can comprise of numerous components. In this study, nine (9) components/indices were tested as the indices for providing support services. These are:- registration procedures, orientation programme and skills training, technology and learning materials, counselling and mentorship, interactions and communication, feedback, regional centres and library, students association and representation and course progression and satisfaction. This study employed an evaluation research design utilising both quantitative and qualitative methods. Online questionnaires were used for quantitative data collection. For qualitative data collection two (2) instruments were used; an interview schedule for key programme implementers and a documentary analysis tool for documents and websites. The findings indicated that the main indices that distinguished the two universities were registration process, technology and learning materials, counselling/mentorship and regional centres where the t-test showed significant differences. The p values were 0.008, 0.012, 0.036 and 0.015 respectively at 0.05 significance level. In all of them, Northern University (NU) had a relatively high mean score than Western University (WU) except for the index on counselling and mentorship. / Educational Foundations / D. Ed. (Socio-Education)