SCAFFOLDING COMPLEX TASKS BY OPEN ONLINE SUBMISSION: EMERGING PATTERNS AND PROFILES

Scaffolding Moves by Learners in Online Interactions

Learners can collaborate with each other to achieve a lesson objective. In the collaboration, they can provide each other with guidance in order to identify mistakes and improve their achievements. With the rise of online instructions, this small-scale exploratory study aimed to see how proficient learners guided their less proficient classmates in correcting the grammatical accuracy of sentenc...

Scaffolding Moves by Learners in Online Interactions

Learners can collaborate with each other to achieve a lesson objective. In the collaboration, they can provide each other with guidance in order to identify mistakes and improve their achievements. With the rise of online instructions, this small-scale exploratory study aimed to see how proficient learners guided their less proficient classmates in correcting the grammatical accuracy of sentenc...

Hierarchical Categorization of Open Source Software by Online Profiles

The large amounts of freely available open source software over the Internet are fundamentally changing the traditional paradigms of software development. Efficient categorization of the massive projects for retrieving relevant software is of vital importance for Internet-based software development such as solution searching, best practices learning and so on. Many previous works have been cond...

Profiling knowledge workers using open online profiles

In this paper we investigate the accuracy of user terminology models extracted from open online profiles. In our project, user models are used for the profiling of knowledge workers in order to assist them with information tasks such as email filtering and professional search. We created terminology models from profiles on LinkedIn, Twitter and ArnetMiner (scientific publications) using a term ...

AOM Online Papers Submission # 17162