A Journey of Bounty Hunters: Analyzing the Influence of Reward Systems on StackOverflow Question Response Times

Berger, Philipp; Hennig, Patrick; Bocklisch, Tom; Herold, Tom; Meinel, Christoph

doi:10.1109/wi.2016.0114

Cited by 11 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another variable representing the student engagement when rewards are implemented, is the time elapsed from the moment that a student satisfies the reward conditions to the moment s/he claims and receives such reward. This variable can potentially inform us about the student motivation and interest on earning such reward in a massive online learning environment (Berger et al, 2016). The evidence that a student claims the reward right after completing the conditions suggests that s/he was aware of the existence of this reward and wanted to earn it.…”

Section: Rewards and Engagement In Moocsmentioning

confidence: 99%

To reward and beyond: Analyzing the effect of reward-based strategies in a MOOC

Ortega‐Arranz

Bote‐Lorenzo

Asensio-Pérez

et al. 2019

Computers & Education

View full text Add to dashboard Cite

Despite the benefits of MOOCs (e.g., open access to education offered by prestigious universities), the low level of student engagement remains as an important issue causing massive dropouts in such courses. The use of reward-based gamification strategies is one approach to promote student engagement and prevent dropout. However, there is a lack of solid empirical studies analyzing the effects of rewards in MOOC environments. This paper reports a between-subjects design study conducted in a MOOC to analyze the effects of badges and redeemable rewards on student retention and engagement. Results show that the implemented reward strategies had not significant effect on student retention and behavioral engagement measured through the number of pageviews, task submissions, and student activity time. However, it was found that learners able to earn badges and redeemable rewards participated more in gamified tasks than those learners in the control group. Additionally, results reveal that the participants in the redeemable reward condition requested and earned earlier the rewards than those participants in the badge condition. The potential implications of these findings in the instructional design of future gamified MOOCs are also discussed.

show abstract

Section: Rewards and Engagement In Moocsmentioning

confidence: 99%

To reward and beyond: Analyzing the effect of reward-based strategies in a MOOC

Ortega‐Arranz

Bote‐Lorenzo

Asensio-Pérez

et al. 2019

Computers & Education

View full text Add to dashboard Cite

show abstract

“…Client countries achieve their tasks at lower wages in sourcing countries by utilizing the proximity of geography, culture, language and economic characteristics between countries [22]. There are three major nearshoring clusters in the world: the USA and Canada, wealthy nations of Western Europe and Korea and Japan [23].…”

Section: Nearshoringmentioning

confidence: 99%

Implicit and Explicit Knowledge Mining of Crowdsourced Communities: Architectural and Technology Verdicts

Mushtaq¹,

Malik²,

Shah³

et al. 2018

ijacsa

View full text Add to dashboard Cite

Abstract-The use of social media especially community Q&A Sites by software development community has been increased significantly in past few years. The ever mounting data on these Q&A Sites has open up new horizons for research in multiple dimensions. Stackoverflow is repository of large amount of data related to software engineering. Software architecture and technology selection verdicts in SE have enormous and ultimate influence on overall properties and performance of software system, and pose risks to change if once implemented. Most of the risks in Software Engineering projects are directly or indirectly coupled with Architectural and Technology decisions (ATD). Advance Architectural knowledge availability and its utilization are crucial for decision making. Existing architecture and technology knowledge management approaches using software repositories give a rich insight to support architects by offering a wide spectrum of architecture and technology verdicts. However, they are mostly insourced and still depend on manual generation and maintenance of the architectural knowledge. This paper compares various software development approaches and suggests crowdsourcing as knowledge ripped approach and brings into use the most popular online software development community/Crowdsourced (StackOverflow) as a rich source of knowledge for technology decisions to support architecture knowledge management with a more reliable method of data mining for knowledge capturing. This is an exploratory study that follows a qualitative and qualitative e-content analysis approach. Our proposed framework finds relationships among technology and architecture related posts in this community to identify architecture-relevant and technology-related knowledge through explicit and implicit knowledge mining, and performs classification and clustering for the purpose of knowledge structuring for future work.

show abstract

“…Even though this would indeed be promising, we found no meaningful pattern on the timing of the first acceptable response. Modeling the arrival time of an adequately proficient responder is a challenging problem in itself (Bhat et al 2014, Berger et al 2016. Even if we could compute an accurate model that accounts for multiple contributing factors (e.g.…”

Section: Measuring Question Difficultymentioning

confidence: 99%