Predicting Website Audience Demographics forWeb Advertising Targeting Using Multi-Website Clickstream Data

2010 ◽  
Vol 98 (1) ◽  
pp. 49-70 ◽  
Author(s):  
KoenW. De Bock ◽  
Dirk Van den Poel
Keyword(s):  
Clickstream Data ◽  
Audience Demographics

The Producers and Hairspray

2019 ◽  
pp. 589-611
Author(s):  
Dean Adams
Keyword(s):  
Original Work ◽  
Movie Stars ◽  
Creative Team ◽  
Audience Demographics

Marketability is the focus of this chapter on The Producers and Hairspray, movies that were based on stage musicals that were originally based on low-budget, largely nonmusical movies. The chapter compares the two movie adaptations, noting that Susan Stroman restaged her original work for film, and many of the original creative team (including costume designer William Ivey Long) reprised their Broadway visual contributions for film, while the producers of Hairspray selected Hollywood professionals instead of the original Broadway creative team to supervise the making of the film. In another contrast, the 2005 film of The Producers is 134 minutes long to Hairspray’s 116, and The Producers used its Broadway stars rather than using the latest Hollywood names; Hairspray chose movie stars. With these contrasting strategies, and their relationship to the audience demographics for cinema today, it is unsurprising that Hairspray was a hit on the screen and that The Producers was a flop.

scholarly journals The politics of piracy: political ideology and the usage of pirated online media

2021 ◽  
Author(s):  
Lorenz Graf-Vlachy ◽  
Tarun Goyal ◽  
Yannick Ouardi ◽  
Andreas König
Keyword(s):  
Information Systems ◽  
Political Ideology ◽  
File Sharing ◽  
Openness To Experience ◽  
Online Media ◽  
Clickstream Data ◽  
Political Ideologies ◽  
Systems Research ◽  
Information Systems Research ◽  
The U.S

AbstractThere is a lack of clarity in information systems research on which factors lead people to use or not use technologies of varying degrees of perceived legality. To address this gap, we use arguments from the information systems and political ideology literatures to theorize on the influence of individuals’ political ideologies on online media piracy. Specifically, we hypothesize that individuals with a more conservative ideology, and thus lower openness to experience and higher conscientiousness, generally engage in less online media piracy. We further hypothesize that this effect is stronger for online piracy technology that is legally ambiguous. Using clickstream data from 3873 individuals in the U.S., we find that this effect in fact exists only for online media piracy technologies that are perceived as legally ambiguous. Specifically, more conservative individuals, who typically have lower ambiguity intolerance, use (legal but ambiguously perceived) pirated streaming websites less, while there is no difference for the (clearly illegal) use of pirated file sharing websites.

scholarly journals Understanding Learning Analytics Indicators for Predicting Study Success

2020 ◽  
Author(s):  
Dirk Ifenthaler ◽  
Jane Yin-Kim Yau
Keyword(s):  
Learning Analytics ◽  
Education Institution ◽  
Sociodemographic Factors ◽  
Cognitive Capacity ◽  
Study Success ◽  
Related Factors ◽  
Clickstream Data ◽  
Learning History ◽  
Learning Journey ◽  
Key Indicators

Common factors, which are related to study success include students’ sociodemographic factors, cognitive capacity, or prior academic performance, and individual attributes as well as course related factors such as active learning and attention or environmental factors related to supportive academic and social embeddedness. The aim of this research is to gain a deeper understanding of not only if learning analytics can support study success, but which aspects of a learner’s learning journey can benefit from the utilisation of learning analytics. We, therefore, examined different learning analytics indicators to show which aspect of the learning journey they were successfully supporting. Key indicators may include GPA, learning history, and clickstream data. Depending on the type of higher education institution, and the mode of education (face-to-face and/or distance), the chosen indicators may be different due to them having different importance in predicting the learning out-comes and study success.

scholarly journals Understanding student learning pathways in traditional online history courses: utilizing process mining analysis on clickstream data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matt Crosslin ◽  
Kimberly Breuer ◽  
Nikola Milikić ◽  
Justin T. Dellinger
Keyword(s):  
Poster Session ◽  
Process Mining ◽  
Structured Learning ◽  
College Level ◽  
Ongoing Research ◽  
Clickstream Data ◽  
Content Type ◽  
Learner Centered ◽  
Learning Pathways ◽  
Practical Implications

PurposeThis study explores ongoing research into self-mapped learning pathways that students utilize to move through a course when given two modalities to choose from: one that is instructor-led and one that is student-directed.Design/methodology/approachProcess mining analysis was utilized to examine and cluster clickstream data from an online college-level History course designed with dual modality choices. This paper examines some of the results from different approaches to clustering the available data.FindingsBy examining how often students interacted with others, whether they were more internal or external facing with their pathway choices, and whether or not they completed a learning pathway, this study identified five general tactics from the data: Individualistic Internal; Non-completing Internal; Completing, Interactive Internal; Completing, Interactive, and Reflective and Completing External. Further analysis of when students used each tactic led to the identification of four different strategies that learners utilized during class sessions.Practical implicationsThe results of this analysis could potentially lead to the creation of customizable design models that can assist learners as they navigate modality choices in learner-centered or less-structured learning design methodologies.Originality/valueFew courses are designed to give the learners the options to follow the instructor or create their own learning pathway. Knowing how to identify what choices a learner might take in these scenarios is even less explored. Preliminary data for this paper was originally presented as a poster session at the Learning Analytics and Knowledge conference in 2019.

Sign in / Sign up

Export Citation Format

Share Document