Abstract

Most organizations donâ??t focus on what learners really do with their learning environments. Changing the perspective to the learner shows that they enlarge the organizational ones with their own technology-enhanced learning world, using a broad spectrum of technologies: company- and/or higher education-owned Learning Management Systems, social network platforms such as Facebook, mySpace, or Ning, search engines, open web services in the internet like blogs or wikis, and a lot more other applications. In this context, one of the challenges for todayâ??s organizations is how to create well-accepted and used learning environments that drive learnersâ?? success. As errors in requirements specifications have been identified as a major contributor to costly software project failures. Hence it may be highly beneficial if the designers and/or developers of learning environments could verify requirements by predicting learnersâ?? acceptance and usage based on evaluations during the earliest stages of the learning environment development phase. Previous findings of such an approach in the field of CRM software implementation showed that pre-prototype user acceptance tests did have almost equal informational value than their prototype counterparts that ensure hands-on experience with the system. More concrete, we focus on interventions of specific design features during the pre-implementation phase of learning environments. They may help minimizing learnersâ?? initial resistance by providing a realistic preview of the system to enable potential learners to develop accurate perceptions and find out how the system may help them to improve their learning process. The paper proposes a solution by examining the influence of specific design features of learning environments on user acceptance, particularly on the antecedents of perceived usefulness and perceived ease of use. We want to extrapolate the influence of specific design features on specific aspects of perceived usefulness and perceived ease of use in order to enhance designersâ?? and/or developers ability to identify and improve design features during learning environment implementation to enhance critical determinants. The goal of the current work is the improvement of design science in the topic of technology-enhanced learning. To ensure cross-organizational applicability, the approach suggests an application within higher education institutions as well as corporate organizations.

Highlights

  • Virtual learning environments (VLE) are systems that use modern information and communication technologies to support education and training efforts [55]

  • A deeper understanding of specific design characteristics contributing to the antecedents of both perceived ease of use (PEOU), and perceived usefulness (PU) is needed in order to improve our understanding which design features and their inherent characteristics have an impact on which determinants of PU and PEOU in order to provide welldefined and actionable levers to designers and/or developers so that they may foster the acceptance of VLEs [76]

  • In order to address this gap of research, to bring more actionable guidance to practitioners, and foster learners’ acceptance, we suggest the following approach: Firstly, we build on the TAM3 model [70] as it supports our approach in the following way: In contradiction to TAM which is considered as a powerful and parsimonious research framework, the key strength of TAM3 is seen in its comprehensiveness and potential for actionable guidance [70]

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Summary

INTRODUCTION

Virtual learning environments (VLE) are systems that use modern information and communication technologies to support education and training efforts [55]. The design features in turn possess specific characteristics, which can positively influence user acceptance and system success [4, 19, 74, 75] To better extrapolate those critical design features, [2] suggest methods such as prototyping, user testing, and use of early system capabilities. As the manipulation of design features in a field setting may be difficult and expensive [70], [50] and [63] suggest simulation and agent-based modeling approaches that are considered as low-cost alternatives in order to investigate the impact of specific design features on VLE adoption and use.

PERSONAL PORTALS AS FUTURE-ORIENTED ENVIRONMENTS FOR LEARNING
Design Science and Technology Acceptance Research
Design features as pre-implementation interventions
CONCLUSION
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