Keeping learners engaged in viewing online video lectures is a challenge, which is considered harder as the length of the video is longer. Although it is a known obstacle, in practice, many videos are lengthy and do not contain interactive elements. This study takes an attention economy perspective, and examines if interactivity may enable effective use of longer online video lectures. Google Analytics data was used to measure average online video lecture viewing completion percentage for two ‘long’ and ‘short’ video lecture groups, before and after the addition of interactive components. Preliminary results show that addition of interactivity significantly improved completion percentage as well as average viewing time for both ‘long’ and ‘short’ video lecture groups by more than 20%. Furthermore, the average viewing time of the ‘long’ group grew to over 10 minutes. The contributions of this study are twofold: it demonstrates the potential of learning analytics to identify ways to improve learning processes, and it provides empirical support for the potential of adding interactive elements to the videos to expand the attention span of learners.
Aim/PurposeAs online video lectures rapidly gain popularity in formal and informal learning environments, one of their main challenges is student retention. This study investigates the influence of adding interactivity to online video lectures on students' attention span. BackgroundInteractivity is perceived as increasing the attention span of learners and improving the quality of learning. However, interactivity may be regarded as an interruption, which distracts students. Furthermore, adding interactive elements to online video lectures requires additional investment of various resources. Therefore, it is important to investigate the impact of adding interactivity to online video lectures on the attention span of learners. Methodology This study employed a learning analytics approach, obtained data from Google Analytics, and analyzed data of two Massive Open Online Courses (MOOCs) that were developed by the Open University of Israel in order to make English for academic purposes (EAP) courses freely accessible. ContributionThe paper provides important insights, based on quantitative empirical research, on the following: integrating interactive elements in online videos; the impact of video length; and differences between two groups of advanced and basic learners. Furthermore, it demonstrates how learning analytics may be used for improving instructional design. Evaluating the Impact of Interactivity in Online Video Lectures 216 FindingsThe findings suggest that interactivity may increase the attention span of learners, as measured by the average online video lecture viewing completion percentage, before and after the addition of interactivity. The impact is significantly stronger for the more advanced course. However, when the lecture is longer than about 15 minutes, the completion percentages decrease, even after adding interactive elements. Recommendations for PractitionersAdding interactivity to online video lectures and controlling their length is expected to increase the attention span of learners. Recommendation for ResearchersLearning analytics is a powerful quantitative methodology for identifying ways to improve learning processes. Impact on Society Providing practical insights on mechanisms for increasing the attention span of learners is expected to improve social inclusion. Future ResearchDiscovering further best practices to improve the effectiveness of online video lectures for diverse learners.
Learning Analytics Dashboards (LAD) promise to disrupt the Higher Education (HE) teaching practice. Current LAD research portrays a near future of e-teaching, empowered with the ability to predict dropouts, to validate timely pedagogical interventions and to close the instructional design loop. These dashboards utilize machine learning, big data technologies, sophisticated artificial intelligence (AI) algorithms, and interactive visualization techniques. However, alongside with the desired impact, research is raising significant ethical concerns, context-specific limitations and difficulties to design multipurpose solutions. We revisit the practice of managing by the numbers and the theoretical origins of dashboards within management as a call to reevaluate the “datafication” of learning environments. More specifically, we highlight potential risks of using predictive dashboards as black boxes to instrumentalize and reduce learning and teaching to what we call “teaching by the numbers”. Instead, we suggest guidelines for teachers’ LAD design, that support the visual description of actual learning, based on teachers’ prescriptive pedagogical intent. We conclude with a new user-driven framework for future LAD research that supports a Learning Analytics Performance Improvement Design (LAPID).
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