An Exploratory Mixed Method Study on H5P Videos and Video-Related Activities in a MOOC Environment

An Exploratory Mixed Method Study on H5P Videos and Video-Related Activities in a MOOC Environment

Stefan Thurner, Sandra Schön, Lisa Schirmbrand, Marco Tatschl, Theresa Teschl, Philipp Leitner, Martin Ebner
Copyright: © 2022 |Pages: 18
DOI: 10.4018/IJTEE.304388
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Abstract

In this paper, an exploratory mixed-method study is presented examining the video-related behavior of participants of a massive open online course (MOOC; N=1.238). Firstly, detailed log-file analysis of six videos has been carried out to compare clickstreams of videos with and without integrated H5P quiz integration. It shows quite different seeking and watching pattern behavior in video with H5P quizzes. In a second step, learners participated in an online questionnaire (N=707): Most of them see the quizzes in videos as always or mostly helpful (67%). The survey also shows that for many, taking notes, turning on subtitles, using the transcripts or even increasing the speed are important activities when learning with the videos in the MOOC. In a third step, interviews with ten MOOC participants are a source for qualitative insights in how the learners use the learning videos.
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Introduction

Since their emergence and the massive hype surrounding massive open online courses (MOOCs) in the 2010s, these openly available sources for education have gone through massive changes over the past decade (Admiraal et al., 2015; Pilli et al., 2018). Over the years, researchers and designers of MOOCs have developed strategies and tools to enhance aspects of their courses and rise the quality of these educational environments, overall. Different types of research on MOOCs were done in the past. This ranges from research on retention- and completion-rates (Jordan, 2014) and explanations for these behaviors (Clow, 2013) to studies that analyzes the participant-behavior over a complete MOOC. These last approaches often lead to categories, grids or clustering-methods, such as Ferguson et al.’s (2015) or Yoon et al.’s (2021) study. Typically, videos are the core of MOOCs and are enriched by forum discussion or further readings. In many cases, researchers use data from video logs to predict completion rates (Halawa et al., 2014; Lemay & Doleck, 2020), develop visual representation methods of these data (Mubarak et al., 2021) or compare behavior between video-driven MOOCs and for-credit courses (Almeda, 2018). Other researchers focus on data gathered outside of the MOOC and try to connect these findings to aspects such as grades or dropout rates (Gamage et al., 2020). To further enhance the design process of such MOOCs and to lower down learner dropout rates, increase completion rates, enhance learner engagement, and better learning outcomes, metastudies (e.g., Yu, 2021b) have also been conducted.

However, research on interactivity, and especially the influence of certain methods, is still rather rare. Wilkie et al.’s (2018) work is an example of a study on a specific tool, in this case H5P. However, the results of the study were based upon anecdotal evidence from staff and learners at a university. To gain more insights into the influence of H5P, this study built upon the described positive findings.

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