Goal-setting enhances learning by providing a sense of direction and purpose to individuals. Contemporary social media plays an important role in expressing individual users＇ messages and sharing personal goals withi...Goal-setting enhances learning by providing a sense of direction and purpose to individuals. Contemporary social media plays an important role in expressing individual users＇ messages and sharing personal goals within a given community. The massiveness of the data available for users calls for a more systematic analysis of goals and meaning-making construction of these goals for educational and research purposes. This research proposes an approach to combine methods of mining, corpus linguistics and SFG （systemic functional grammar） for extracting goals in mined tweets, sorting the data linguistically and devising a model for analyzing the data based on the concepts of SFG and genre-based realization. The results of ＂meaning-making＂ analysis of goals show that： （1） mining is a successful tool for processing the large database into the pre-designated typology of goals; （2） the implementation of SFG as an analytical theory for semiotic and semogenic features of goals is a significant expansion of linguistic analysis of goals; （3） the Transitivity Model of SFG for identifying the Ideational Function of social meaning creation shows thc inclination of using ＂material＂, ＂mental＂ and ＂relational＂ processes as well as personal recounts of past learning experiences.展开更多
文摘Goal-setting enhances learning by providing a sense of direction and purpose to individuals. Contemporary social media plays an important role in expressing individual users＇ messages and sharing personal goals within a given community. The massiveness of the data available for users calls for a more systematic analysis of goals and meaning-making construction of these goals for educational and research purposes. This research proposes an approach to combine methods of mining, corpus linguistics and SFG （systemic functional grammar） for extracting goals in mined tweets, sorting the data linguistically and devising a model for analyzing the data based on the concepts of SFG and genre-based realization. The results of ＂meaning-making＂ analysis of goals show that： （1） mining is a successful tool for processing the large database into the pre-designated typology of goals; （2） the implementation of SFG as an analytical theory for semiotic and semogenic features of goals is a significant expansion of linguistic analysis of goals; （3） the Transitivity Model of SFG for identifying the Ideational Function of social meaning creation shows thc inclination of using ＂material＂, ＂mental＂ and ＂relational＂ processes as well as personal recounts of past learning experiences.
