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Delving Into The Specificity Of Instructional Guidance In Social Media-Supported Learning Environments, Tian Luo Jan 2018

Delving Into The Specificity Of Instructional Guidance In Social Media-Supported Learning Environments, Tian Luo

STEMPS Faculty Publications

Aim/Purpose: This study investigates the variations in student participation patterns across different types of instructional activities, learning modes, and with different instructional guidance approaches. In the current study, different variables, modes of learning (guided versus unguided), and types of guidance (social versus cognitive) were manipulated in a series of microblogging-supported collaborative learning tasks to examine to what extent and in which aspects instructional guidance affects the effectiveness and student perception of microblogging-supported learning.

Background: Despite the overwhelming agreement on the importance of instructional guidance in microblogging-supported learning environments, very few studies have been done to examine the specificity of guidance, …


Using Data Mining For Predicting Relationships Between Online Question Theme And Final Grade, M'Hammed Abdous, Wu He, Cherng-Jyh Yen Jan 2012

Using Data Mining For Predicting Relationships Between Online Question Theme And Final Grade, M'Hammed Abdous, Wu He, Cherng-Jyh Yen

Information Technology & Decision Sciences Faculty Publications

As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students' learning experiences is a critical step forward. The adoption of EDM by higher education as an analytical and decision making tool is offering new opportunities to exploit the untapped data generated by various student information systems (SIS) and learning management systems (LMS). This paper describes a hybrid approach which uses EDM and regression analysis to analyse live video streaming (LVS) students' online learning behaviours and their performance in their courses. Students' participation and login frequency, as …