An intervention framework for developing interactive video lectures based on video clickstream behavior: a quasi-experimental evaluation

ABSTRACT

The purpose of this study is to develop an intervention framework based on video clickstream interactions for delivering superior user experience for video lectures. Apart from existing studies on data-driven interventions, this study focuses on video clickstream interactions to identify timely interventions for creating interactive video lectures. First, a framework was developed through an exploratory experiment, in which 29 students’ clickstream behaviors were tracked on an online platform and then individual interviews were held with 17 of the students and a subject-matter expert. The framework shows how click types are transformed into interactive elements with five question types (where, why, which, how, what). It includes click types, click reasons, interventions, actions, and interactive elements. Then, a quasi-experimental study was performed with 18 students to investigate the effect of the proposed framework on the students’ satisfaction and engagement. The results showed that students’ satisfaction significantly increased for interactive videos created using the proposed framework when motivation was controlled. In addition, students’ frequency to go back to important points decreased significantly in interactive videos, whilst students’ frequency to skip unimportant points increased significantly in interactive videos. In conclusion, the proposed framework can be used to transform linear videos to interactive videos.

KEYWORDS:

• Video clickstream behavior
• interactive video
• learning analytics
• intervention framework
• video lecture

Acknowledgement

This research was carried out in the scope of the first author's doctoral dissertation under the supervision of the second and third authors.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Ozan Raşit Yürüm

Ozan Raşit Yürüm is currently an instructor at Distance Education Application and Research Center at İzmir Institute of Technology. He received his Master's and PhD degrees in Information Systems from Middle East Technical University. His research interests include learning analytics, educational data mining, distance education, e-learning, programming languages, software quality management and agile software development.

Soner Yıldırım

Soner Yıldırım is currently a Professor of Instructional Technology at the Department of Computer Education and Instructional Technology at Middle East Technical University. His research interests focus on Pre and Inservice teacher technology training, Web-Based Training, Adult Learning, Human Performance Technologies (EPSS), Instructional Technology Planning, Reusable Learning Objects.

Tuğba Taşkaya-Temizel

Tuğba Taşkaya Temizel is currently a Professor of Data Informatics at the Graduate School of Informatics, Middle East Technical University. Her research interests focus on data mining, text mining, information extraction, big data, deep learning, machine learning, mobile computing, grid computing, cloud computing, persuasive technologies, social media analytics, user behavior analysis and temporal data mining.