Language Learning Motivation and Language Learning Strategies of Taiwanese EFL Students

[[abstract]]This study investigated the relationship between student motivation, both extrinsic and intrinsic, and learning strategies for English as a foreign language (EFL) students. Subjects were 46 Taiwanese undergraduate and graduate students of advanced EFL at a public university in the United States who were administered motivation and learning strategies questionnaires. Results reveal that total learning strategies were associated with motivational intensity, intrinsic motivation, and extrinsic motivation. Intrinsic motivation was associated with cognitive and metacognitive learning strategies, while extrinsic motivation was associated with memory and affective strategies. Compensation strategies were the most commonly used, and had little relationship to motivation. Social strategies had little relationship to either extrinsic or intrinsic motivation. Motivational intensity correlated moderately with intrinsic motivation, but had little relationship to extrinsic motivation. An appendix contains the survey questionnaire. Contains 42 references

Cooperative Vehicle Tracking in Large Environments

Vehicle position tracking and prediction over large areas is of significant importance in many industrial applications, such as mining operations. In a small area, this can be easily achieved by providing vehicles with a constant communication link to a control centre and having the vehicles broadcast their position. The problem changes dramatically when vehicles operate within a large environment of potentially hundreds of square kilometres and in difficult terrain. This thesis presents algorithms for cooperative tracking of vehicles based on a vehicle motion model that incorporates the properties of the working area, and information collected by infrastructure collection points and other mobile agents. The probabilistic motion prediction approach provides long-term estimates of vehicle positions using motion profiles built for the particular environment and considering the vehicle stopping probability. A limited number of data collection points distributed around the field are used to update the position estimates, with negative information also used to improve the estimation. The thesis introduces the concept of observation harvesting, a process in which peer-to-peer communication between vehicles allows egocentric position updates and inter-vehicle measurements to be relayed among vehicles and finally conveyed to the collection points for an improved position estimate. It uses a store-and-synchronise concept to deal with intermittent communication and aims to disseminate data in an opportunistic manner. A nonparametric filtering algorithm for cooperative tracking is proposed to incorporate the information harvested, including the negative, relative, and time delayed observations. An important contribution of this thesis is to enable the optimisation of fleet scheduling when full coverage networks are not available or feasible. The proposed approaches were validated with comprehensive experimental results using data collected from a large-scale mining operation

Cooperative Vehicle Tracking in Large Environments

Vehicle position tracking and prediction over large areas is of significant importance in many industrial applications, such as mining operations. In a small area, this can be easily achieved by providing vehicles with a constant communication link to a control centre and having the vehicles broadcast their position. The problem changes dramatically when vehicles operate within a large environment of potentially hundreds of square kilometres and in difficult terrain. This thesis presents algorithms for cooperative tracking of vehicles based on a vehicle motion model that incorporates the properties of the working area, and information collected by infrastructure collection points and other mobile agents. The probabilistic motion prediction approach provides long-term estimates of vehicle positions using motion profiles built for the particular environment and considering the vehicle stopping probability. A limited number of data collection points distributed around the field are used to update the position estimates, with negative information also used to improve the estimation. The thesis introduces the concept of observation harvesting, a process in which peer-to-peer communication between vehicles allows egocentric position updates and inter-vehicle measurements to be relayed among vehicles and finally conveyed to the collection points for an improved position estimate. It uses a store-and-synchronise concept to deal with intermittent communication and aims to disseminate data in an opportunistic manner. A nonparametric filtering algorithm for cooperative tracking is proposed to incorporate the information harvested, including the negative, relative, and time delayed observations. An important contribution of this thesis is to enable the optimisation of fleet scheduling when full coverage networks are not available or feasible. The proposed approaches were validated with comprehensive experimental results using data collected from a large-scale mining operation

How the Effects of IT Capability and Knowledge Capability on Organizational Agility are Contingent on Environmental Uncertainty and Information Intensity

Although the relationship of information technology (IT) capability and knowledge capability with organizational agility has been documented, limited information is available on the extent to which these two capabilities affect organizational agility. Attempts to understand the effect of IT and knowledge capability on organizational agility in the presence of contextual factors have also been few. Based on data collected from 123 organizations in China, we examine the moderating effects of two contextual factors (environmental uncertainty and information intensity) on the relationship of IT and knowledge capability with organizational agility. We contribute to current knowledge by showing that environmental uncertainty positively moderates the effects of IT capability and knowledge capability on organizational agility and that information intensity positively moderates the effects of knowledge capability on organizational agility. While we find that both IT and knowledge capabilities have positive effects on organizational agility, knowledge capability is more effective than IT capability

Reclassifying the SILL: Validation Using Exploratory and Confirmatory Factor Analysis

For decades, the Strategy Inventory of Language Learning (SILL) has been extensively used in the previous studies on foreign/second language (L2) learners’ learning strategies, which have yielded a substantial amount of empirical findings in the field of L2. The conventional classification of the SILL questionnaire, however, has not gone without challenges, especially given the tremendous diversity of the EFL context. In this study, we revisited the SILL and reclassified the language learning strategies in this popular questionnaire. The data were collected in an EFL context in which a total of 282 Taiwanese senior high school students filled out the SILL questionnaire. Validity was the paramount concern during reclassifying and was demonstrated via exploratory factor analysis (EFA) and confirmation factor analysis (CFA). EFA was first used to extract factors from the SILL, which helps to conceptualize the new classification. CFA was then performed to confirm the exploratory model. At the end of the study, the SILL was reclassified into the 6 dimensions which were labeled as: 1) Social Strategies, 2) Metacognitive Strategies (Type I), 3) Metacognitive Strategies (Type II), 4) Affective Strategies, 5) Cognitive Strategies and 6) Memory Strategies. Keywords: Language learning strategy, the Strategy Inventory of Language Learning, exploratory factor analysis, confirmatory factor analysi

Senior High School EFL Students’ L2 Motivational Configurations and Learning Outcomes: A Person-centered Approach

This study utilized a person-centered approach to explore senior high school EFL students’ motivations and their learning outcomes. Cluster analysis extracted four second language (L2) motivational configurations among the 922 participants: 1) the High Motive group which is characterized by high amount of L2 motivation, 2) the Performance-focused group which is characterized by low intrinsic motivation and a focus on examination scores, 3) the Socioculture-focused group characterized by low intrinsic motivation but an interest in the L2 culture, 4) and the Low Motive group characterized by low motivation. It was found that a good quality group was absent from this particular EFL context. The High Motive group and the Performance-focused group outperformed the other two groups in terms of the L2 learning outcomes. Integrative motivation emerged from the person-centered approach. Contextual factors such as the economic situation and influence of Confucianism were discussed in relation to the results. Keywords: Second language learning motivation, Motivational configuration, English as a foreign language, Learning outcomes, Person-centered approac