Browsing by Author "Singh, Vivek"

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    A content engagement score for online learning platforms
    (Association for Computing Machinery, 2018-06-26) Singh, Vivek; Padmanabhan, Balaji; de Vreede, Triparna; de Vreede, Gert-Jan; Andel, Stephanie A.; Spector, Paul E.; Benfield, Steve; Aslami, Ahmad
    Engagement on online learning platforms is essential for user retention, learning, and performance. However, there is a paucity of research addressing latent engagement measurement using user activities. In this work in progress paper, we present a novel engagement score consisting of three sub-dimensions - cognitive engagement, emotional engagement, and behavioral engagement using a comprehensive set of user activities. We plan to evaluate our score on a large scale online learning platform and compare our score with measurements from a user survey-based engagement scale from the literature.
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    The Development of a Multidimensional Engagement Measure
    (Research Gate, 2018-08-16) Andel, Stephanie A.; de Vreede, Gert-Jan; Singh, Vivek; de Vreede, Triparna; Padmanabhan, Balaji; Spector, Paul E.
    Over the past decades, user engagement has become central to product success more than ever before. However, while engagement has been studied extensively in various disciplines, these bodies of knowledge are siloed. One indication of this separation is that there is no existing user engagement measure that can be used consistently and reliably across research domains. This emergent research paper aims to progress towards bridging this gap by developing an engagement scale that may be generalized to multiple disciplines. To that effect, we first identified engagement as a three dimensional phenomenon and developed definitions for each dimension. Next, we conducted a series of four studies to develop and validate a measure of user engagement. This resulted in a 16-item measure to assess cognitive, behavioral, and emotional engagement. Future steps include further refinement of the measure, and additional studies to test the generalizability of the scale across disciplines.
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    Do social features help in video-centric online learning platforms? A social presence perspective
    (Elsevier, 2020-12-01) Andel, Stephanie A.; de Vreede, Triparna; Spector, Paul E.; Padmanabhan, Balaji; Singh, Vivek; de Vreede, Gert-Jan
    The popularity of online learning is growing exponentially. Accordingly, it is critical to understand how we can facilitate the learning experience for users in these unique online environments. Past research consistently finds that one important antecedent of online learning outcomes is social presence. However, there is limited research related to how to foster social presence perceptions among users. Further, research has yet to understand whether there are boundary conditions for the positive effects of social presence perceptions on user outcomes (e.g., perceived learning, satisfaction). The current work describes two studies to address these questions. The first study uses an experimental design to investigate how the perception of social presence can be increased in the online learning context. In the second study, we investigate the degree to which social presence perceptions are more beneficial for some individuals versus others. Specifically, we consider two personality traits (i.e., conscientiousness, extraversion) as moderators of the relationships between social presence perceptions and two outcomes – perceived learning and satisfaction. Overall, the results of these two studies provide important insights into how to enhance user outcomes in online learning and training environments.
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    What is Engagement and How Do We Measure It? Toward a Domain Independent Definition and Scale
    (2019-01-08) de Vreede, Triparna; Andel, Stephanie A.; de Vreede, Gert-Jan; Spector, Paul; Singh, Vivek; Padmanabhan, Balaji
    An engaging experience draws in and holds our attention. Engagement is a critical phenomenon of interest in a variety of disciplines and application domains and has been shown to lead to positive outcomes, such as enhanced learning, task performance, or job satisfaction. However, existing measures of engagement are typically specific to the domain in which the research is conducted. This paper builds on the synergies of various disciplines and proposes a discipline-independent definition of engagement and measurement scale. In this paper, we distinguished between the three temporal levels of engagement in terms of the expected length of the engagement (task/activity, initiative, and continuous). We further explored the differences in the conceptualization of engagement, viz. affective, behavioral, and cognitive engagement. We then offered a comprehensive definition of engagement. We finally developed a measurement scale that can be used across domains and contexts which we derived by iteratively refining the items in this scale through a series of five data samples to arrive at the final scale. Our results provide evidence for the scale’s validity in two domains (online learning and work engagement).