Impact of Active Learning Training Design on Self Efficacy Levels of Participants
Jain Mathew1, Rachana Mukherjee2, Sridevi Nair3
1Jain Mathew, Professor, Department of Management Studies, CHRIST (Deemed to be University), Bengaluru, India.
2Rachana Mukherjee, Research Scholar, Department of Management Studies, CHRIST (Deemed to be University), Bengaluru, India
3Sridevi Nair, Research Scholar, Department of Management Studies, CHRIST (Deemed to be University), Bengaluru, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5914-5921 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8909118419/2019©BEIESP | DOI: 10.35940/ijrte.D8909.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Training evaluation and the need for effective and efficient training methods have always been the focus of researchers and practitioners alike. This search was further fuelled by the creation and identification of theories in the area of learning. Organizational researchers have been constantly borrowing from the fields of Academics in the hopes of identifying what would work best for their people. While adoption of theories has been accepted and encouraged, the understanding of the effects of the new ‘Learner centric’ approaches is still incomplete. The current study attempts to evaluate one proposed outcome of Self-efficacy. Literature in the area of Self-efficacy has linked the concept to training transfer. In the current study, the researchers attempt to understand the relationship between Active Learning design and Self-efficacy. The findings of the study suggest that this relationship is significant and must be considered while planning and designing training modules. The researchers also propose an equation to predict the levels of self-efficacy in the participants, given the level of participation, quality and timeliness of feedback and the learning environment.
Keywords: Active Learning, Self-Efficacy, Training, Training design.
Scope of the Article: Deep Learning.