An Approach to Using Existing Online Education Tools to Support Practical Education on MOOCs

Sun, Yue; Qiao, Zijian; Chen, Dejian; Xin, Chao; Jiao, Wenpin

doi:10.1109/compsac.2016.49

Cited by 4 publications

(3 citation statements)

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“…Despite these benefits, learning technology is difficult to apply with consistent efficacy. Learning tools face challenges in incorporating interactivity (Sun et al, 2016), and even well-tested tools can fail to yield the same results in a different learning context because of unforeseen interaction effects (Cuban, 2009). To successfully deploy learning technology, it is necessary to understand learning activity within the workplace.…”

Section: Introductionmentioning

confidence: 99%

Predicting knowledge workers’ participation in voluntary learning with employee characteristics and online learning tools

Hicks¹

2018

Journal of Workplace Learning

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Purpose -This paper aims to explore predicting employee learning activity via employee characteristics and usage for two online learning tools.Design/methodology/approach -Statistical analysis focused on observational data collected from user logs. Data are analyzed via regression models.Findings -Findings are presented for over 40,000 employees' learning activity for one year in a multinational technology company. Variables including job level and tool use yielded a predictive model for overall learning behaviors. In addition, relevant differences are found for managers and nonprofessional learning.Research limitations/implications -Importantly, how well employees learned content was not measured. This research is also limited to observational relationships: for example, the online tools were used by self-selected users, instead of randomly assigned. Future research which randomly assigns tool use to employee subgroups could explore causal relationships.Practical implications -This paper presents implications for business analysts and educational technology: how predictive analytics can leverage data to plan programs, the significant challenges for the adoption and usage for online learning tools, and the distinct needs of managers engaging with these tools.Originality/value -Given a growing emphasis on using employee data, it is important to explore how learning behaviors can be made visible in people analytics. While previous research has surveyed employee cultures on learning or explored the socio-psychological factors which contribute to this learning, this paper presents novel data on employee participation in learning programs which illuminates both how HR metrics can productively use this data to reify learning patterns, and how workplace technology designers can consider important factors such as internal hierarchies.

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Section: Introductionmentioning

confidence: 99%

Predicting knowledge workers’ participation in voluntary learning with employee characteristics and online learning tools

Hicks¹

2018

Journal of Workplace Learning

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“…Smart Web Tutor [18] proposes an approach to enhance massive open online courses (MOOCs) with education resources development for instructors and students, allowing realtime collaborative learning for students. As for the recording phase, it is based on the DOM structure, common on web-sites, and works on three main phases, recording, optimizing, replaying.…”

Section: Scripts and Automation-basedmentioning

confidence: 99%

“…Either using video, tutorials, functionalities as automation and picture-driven computing (PDC), among others [11,[13][14][15][16]. Some also suggest approaches based on crowd learning, like help forums, arguing that people learn better when discussing subjects and an many-to-one support is more efficient [17,18]. Many current help systems are still based on user manuals or do not provide inter-application support.…”

Section: Introductionmentioning

confidence: 99%

Help through demonstration and automation for interactive computing systems: A survey of recent works

Silva

Rodrigues

2021

IJECE

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Usability is very important however, it is still difficult to develop interactive computing systems that meet all user’s specificities. Help systems should be a way of bridging this gap. This paper presents a general survey on recent works (building upon previous surveys) related to improving applications’ help through demonstration and automation and, identifies which technologies are acting as enablers. The main contributions are, identifying (i) which are the recent existing solutions; (ii) which aspects must be investigated further; and (iii) which are the main difficulties that are preventing a faster progress.

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Using coursera clickstream data to improve online education for software engineering

Sun

Xin

2017

Proceedings of the ACM Turing 50th Celebration Conference - China

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An Approach to Using Existing Online Education Tools to Support Practical Education on MOOCs

Cited by 4 publications

References 10 publications

Predicting knowledge workers’ participation in voluntary learning with employee characteristics and online learning tools

Predicting knowledge workers’ participation in voluntary learning with employee characteristics and online learning tools

Help through demonstration and automation for interactive computing systems: A survey of recent works

Using coursera clickstream data to improve online education for software engineering

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