Comparing Training Methods for a New Interactive Whiteboard

Abstract

The successful implementation of health information systems can be affected by various barriers ranging from technological, human, and organizational. Training is one of the most cited factors for successful implementation. The goal of this study was to evaluate the effectiveness of various training methods. The first two levels Kirkpatrick’s Four-Level Training Evaluation model were utilized to evaluate the training approaches for four groups: No training (control), training through an instructional booklet, training through a video tutorial and super-user training. Following training, participants answered a questionnaire about their impressions of the training and were asked to complete an exercise with an interactive whiteboard. The questionnaire suggested that users preferred super-user training. Based on the results of the exercise, there was a statistically significant difference between training methods in terms of the number of correctly answer questions. Super-user and video training were significantly better compared to the control group. There were no statistically significant differences in the amount of time it took to complete the exercise. Based on these results, super-user training is recommended.

A Psychological Investigation of Selection Criteria for Learning Agents (Super Users) and Allocation of Responsibilities in the Implementation of Technological Change

“…In addition, research has shown that non-existent, poor, or inadequate training is directly correlated with low rates of adoption among employees, as well as unsuccessful implementation ( Gagnon et al, 2012 ; Sætren et al, 2016 ). Therefore, in any assessment of the human and organizational factors that can contribute to a successful implementation of technological change, training of the employees is regarded as crucial ( Wager et al, 2000 ; Åsand and Mørch, 2006 ; Keshavjee et al, 2006 ; Culler et al, 2009 ; McAlearney et al, 2012 ; Sitthidah and St-Maurice, 2016 ). Nevertheless, it turns out that training is often deprioritized and undervalued ( McAlearney et al, 2012 ; Woldesenbet and Klay, 2016 ).…”

“…Many organizations choose to use local super users to help other employees with the new system, to increase the chance of successful implementation ( Kanter, 1984 ; O’Leary, 2000 ; Ash et al, 2003 ; Whitten and Bentley, 2007 ; Martinez et al, 2008 ; Crosson et al, 2011 ; Gagnon et al, 2012 ; Sitthidah and St-Maurice, 2016 ). Super users are usually regular employees who receive additional training in the use of a new computer system to be introduced at the workplace, so that they can provide first-line technical support and training to their colleagues locally ( Åsand and Mørch, 2006 ; Boffa and Pawola, 2006 ).…”

Model Evaluation for Logistic Regression and Support Vector Machines in Diabetes Problem

“…In addition to feature selection, deviding training and testing data is also an important part before analyzing the classification data. Poor training data will result in poor models that will result in poor implementation [8]. In this research will be compared some evaluation model of deviding method for training and testing data, namely Random Repeated Holdout, Stratified Repeated Holdout, Random Cross-Validation, and Startified Cross-Validation.…”