Abstract
Information technologies have dramatically change education, both within and out of classroom. The learning and training activities in organizations become crucial, which help organizations to increase their knowledge assets and obtain competitive advantages. While organizing learning activities or developing the learning plan for learners at work, the capabilities of learners and the requirements of the tasks which they undertake in business processes should both be considered. In this in-progress research, following the design science paradigm, we intend to build a task-based learning space for learners at work. The task-based learning space is designed to help agents to increase their capabilities or improve the cognitive levels of their capabilities to meet the requirements of tasks. We formally defined the conceptual frameworks, which formally conceptualized the concepts including agent profiling, agent allocation, task profiling, knowledge unit et al. Algorithms of agent-task matching and learning plan development are also introduced. Finally, we propose conclusions and plans to develop this research in the future.
Recommended Citation
Liu, Zhiyong, "Building Task-based Learning Space for Learners at Work" (2017). PACIS 2017 Proceedings. 178.
https://aisel.aisnet.org/pacis2017/178