Empirical Data Analysis-Based Teaching Material Sharing Modeling and Experiment Design for Reward Incentive
Date Issued
2007
Date
2007
Author(s)
Yeh, Li-Wei
DOI
en-US
Abstract
Teaching material sharing (TMS) websites grow rapidly in Taiwan due to one-outline-multiple-texts policy under nine-year compulsory curriculum. The prevalence of personal computers provides convenient way to share teaching resources and experiences on TMS system. Teachers can enhance their teaching abilities and provide high-quality education to increase the competitiveness of our next generation. However, no effective incentives to encourage sharing activities are proposed.
This thesis focuses on modeling TMS behavior over different reward incentive and different quality and quantity of teaching materials on TANet among elementary teachers. We aim to propose a prescriptive model for incentive design to establish a high quality and sustainably increasing quantity for teaching material sharing system. User behaviors discussed in this thesis including joining in to the community, leaving from the community, uploading and downloading teaching materials. Recent researcher investigated teacher behavior on knowledge sharing mainly influenced by website resources and reward incentive. Hence we consider two issues that are critical to the TMS: (1) Collective behavior modeling with SCTNet empirical data without reward incentive. (2)Experiment design for modeling response to reward incentive under constant website resources.
We extend the Bass Model [Lai05] to S-shaped curve model for constructing collective behavior model. Bass Model uses the S-curve for describing the relation between uploading probability over time. The S-curve has a characteristic: slow start in the initial period, fast growth when the amount accumulated to a level and saturation in final. Based on this characteristic, we propose an S-shaped model which describes the relation between website resources and collective behavior which includes the probabilities of joining, download and upload. With empirical data from SCTNet without reward incentive, we analyze empirical data obtained from SCTNet and use regression to derive the parameter of the S-shaped model. This prescriptive model could serve as an estimation method for future network manager to predict the collective behavior under different teaching material quantity and quality.
To design experiment for modeling response to monetary reward, the reward policy we consider is relatively ranking policy. Under constant community resources, we design small experiment on P2P TMS system in lab to model the user response including the probability of joining, upload and download over different reward proportion and reward budget. We replace the horizontal axis of the S-curve in Bass Model [Bas69] to conjecture the variation of user response including upload, download and upload under different reward budget in fixed reward proportion. We also base on the Expectancy theory [Ger04] and Expected Utility Theory [Nic02] to sketch the user response under different proportion in reward fixed reward. Through the Two-Factor factorial lab experiment, future researcher can obtain the user response data, which includes the probability of joining, download and upload, under different reward budget and different proportion of reward winner. Such results may help construct the modules of reward policy management in the prescriptive modeling framework for incentive design.
Subjects
經驗數據分析
教材分享模型
獎勵誘因
實驗設計
思摩特
Empirical analysis
Teaching material sharing
Reward incentive
Experiment design
SCTNet
Type
thesis
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