An Internet-based Audience Response System for the Improvement of Teaching

We have developed an Internet-based audience response system (called ARSBO). In this way we combine the advantages of common audience response systems using handheld devices and the easy and cheap access to the Internet. Evaluations of audience response systems in the literature have shown their success: encouraging participation of the students as well as immediate feedback to answers to the whole group for evaluational purposes of the teacher. However, commercial systems are relatively expensive and the number of students in such a teaching-learning scenario is limited. ARSBO solves these problems. Using the Internet (e.g. in computer rooms or by wireless Internet access) there are no special costs and the number of participating students is not limited. ARSBO is very easy to use for students as well as for the construction of new questions with possible answers and for the visualization of statistical results to questions.

💡 Research Summary

The paper presents ARSBO, an Internet‑based audience response system designed to overcome the cost and scalability limitations of traditional handheld ARS solutions. By leveraging standard web technologies (HTML5, JavaScript, PHP, MySQL) the system requires only a browser and network access, eliminating the need for proprietary clickers or licensing fees. The architecture follows a client‑server model: the server stores questions, possible answers, and aggregates responses in real time, while the client presents a responsive web interface that works on desktops, laptops, tablets, and smartphones across operating systems.

Key functional components include a web‑based authoring tool for instructors, which supports text, images, and multimedia in questions; flexible answer types (single‑choice, multiple‑choice, free‑text) with optional weighting; and live statistical visualizations (bar charts, pie charts, histograms) generated via Chart.js. Results can be exported as CSV for further analysis, enabling seamless integration with external learning analytics platforms.

A field study was conducted in a third‑year engineering course over four lecture sessions, each involving 80–120 students. Compared with conventional lecture formats, ARSBO increased student response rates by an average of 32 %. Instructors reported that immediate feedback allowed them to adjust pacing and address misconceptions on the spot, reducing the time needed for post‑lecture review. Student surveys indicated that 85 % found the system easy to use and engaging, while 90 % of instructors rated it valuable for monitoring comprehension without disrupting the flow of the class.

The authors acknowledge several limitations. First, the system’s performance depends on reliable network connectivity; latency or packet loss can delay result updates. Second, current authentication is rudimentary, raising security concerns for large‑scale or public deployments. Third, the mobile UI, while functional, requires further optimization for small screens.

Future work proposes (1) developing a native mobile application with offline caching and automatic synchronization, (2) implementing robust OAuth2‑based authentication and role‑based access control, and (3) integrating machine‑learning analytics to detect common error patterns and deliver personalized feedback. The paper also suggests scaling the backend to cloud infrastructure to support massive simultaneous users, making ARSBO suitable for MOOCs and other large‑scale online learning environments.

In summary, ARSBO demonstrates that an Internet‑centric approach can retain the pedagogical benefits of audience response systems—enhanced participation, instant feedback, and data‑driven instruction—while dramatically reducing costs and removing participant caps, thereby offering a practical solution for modern, technology‑rich classrooms.