Understanding student perceptions of a web-based blended learning environment

The purpose of this paper is to report on how web-based training and testing platforms provide opportunities for students to leverage the capabilities of various information and communication technologies to engage in self-directed learning.

The impact of an interactive learning environment on improving students’ essential skills was measured using a previously validated structured questionnaire, consisting of five subscales: content, accuracy, format, ease of use, and timeliness. Having analyzed the instrument, the authors decided to modify it to incorporate two more measures of overall reliability and satisfaction to capture students’ overall satisfaction level with the tool. Overall, 24 items are used to measure students’ perceptions of the tool content, accuracy, format, ease of use, timeliness, reliability and satisfaction. A five-point Likert-type scale was used in the questionnaire where 1=strongly disagree and 5=strongly agree.

This study suggests that while students’ major, instructor, and course grade are important factors impacting student perception of the learning tool, year (freshman vs sophomore) and gender do not have any impact on the student perception. Course grade shows an interesting trend. Students who received an A and an F as their final grades are the most satisfied groups compared to other grade groups. This finding suggests a further study is needed to explore the impact of the course grade on the students’ satisfaction with the tool. While students liked simulations, grading feature with immediate feedback, electronic textbook and the system overall, they suggested improvements in the grading module, simulations, projects, system compatibility, system reliability, and cost.

Most studies use a survey to measure student’s satisfaction with a web-based learning platform. This study, however, made an attempt to understand students’ satisfaction with a web-based blended learning platform by analyzing their comments and feedback on the course using a text analytics tool.