Author List: Alavi, Maryam; Marakas, George M.; Yoo, Youngjin;
Information Systems Research, 2002, Volume 13, Issue 4, Page 404-415.
Advances in information and communication technologies have fueled rapid growth in the popularity of technology-supported distributed learning (DL). Many educational institutions, both academic and corporate, have undertaken initiatives that leverage the myriad of available DL technologies. Despite their rapid growth in popularity, however, alternative technologies for DL are seldom systematically evaluated for learning efficacy. Considering the increasing range of information and communication technologies available for the development of DL environments, we believe it is paramount for studies to compare the relative learning outcomes of various technologies. In this research, we employed a quasi-experimental field study approach to investigate the relative learning effectiveness of two collaborative DL environments in the context of an executive development program. We also adopted a framework of hierarchical characteristics of group support system (GSS) technologies, outlined by DeSanctis and Gallupe (1987), as the basis for characterizing the two DL environments. One DL environment employed a simple e-mail and listserv capability while the other used a sophisticated GSS (herein referred to as Beta system).Interestingly, the learning outcome of the e-mail environment was higher than the learning outcome of the more sophisticated GSS environment. The post-hoc analysis of the electronic messages indicated that the students in groups using the e-mail system exchanged a higher percentage of messages related to the learning task. The Beta system users exchanged a higher level of technology sense-making messages. No significant difference was observed in the students' satisfaction with the learning process under the two DL environments.
Keywords: Distributed Learning; Learning Assessment; Learning Models; Technology-Supported Learning
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#71 0.180 distributed agents agent intelligent environments environment smart computational environmental scheduling human rule using does embodied provide trends computer-aided heterogeneous inventory
#187 0.144 learning model optimal rate hand domain effort increasing curve result experts explicit strategies estimate acquire learn referral observational skills activities
#233 0.111 group gss support groups systems brainstorming research process electronic members results paper effects individual ebs using used anonymity ideas discussion
#276 0.077 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses important success various indicate tested
#294 0.072 development systems methodology methodologies information framework approach approaches paper analysis use presented applied assumptions based proposed described examines basis proposes
#203 0.066 communication media computer-mediated e-mail richness electronic cmc mail medium message performance convergence used communications messages face-to-face findings participants results work
#12 0.058 students education student course teaching schools curriculum faculty future experience educational university undergraduate mba business technologies graduate courses programs subjects