FonF practice model from theory to practice: CALL via focus on form approach and non-linear dynamic motivation to develop listening and speaking proficiency

2019 ◽  
Vol 130 ◽  
pp. 40-58 ◽  
Author(s):  
Akbar Bahari
2019 ◽  
Vol 14 (1) ◽  
pp. 45 ◽  
Author(s):  
Akbar Bahari

<p class="Default">Drawing on dynamic systems theory, FonF practice model was contextualized with respect to its impact on L2 learners’ incidental and intentional vocabulary acquisition in CALL context. To this end,<strong> </strong>a mixed methods approach was conducted on a sample of 93 intermediate EFL learners in CALL setting in keeping with the FonF practice model. Comparing incidental and intentional acquisition was the target of the study. The obtained results confirmed the effectiveness of the FonF practice model via form-, meaning-, and communication-oriented strategies to develop listening and speaking proficiency as well as incidental and intentional vocabulary acquisition among the experimental group. The main educational implication of the study is the effectiveness of FonF practice model at recruiting the potential behind CALL affordances towards developing listening-speaking proficiency and developing intentional and incidental vocabulary while catering for nonlinear dynamic motivational factors at individual L2 learner level.</p><p class="Default"> </p>


2020 ◽  
Author(s):  
Gabriel Stockdale ◽  
Vasilis Sarhosis ◽  
Gabriele Milani

2021 ◽  
Vol 11 (11) ◽  
pp. 4898
Author(s):  
Jin-Seon Kim ◽  
Ju-Seong Jung ◽  
Dong-Keun Jung ◽  
Eui-Yong Kim ◽  
Kang-Seok Lee

The present study proposes a new seismic retrofitting method using a concrete-filled tube modular frame (CFT-MF) system, a novel technique to overcome and improve the limitations of existing seismic strengthening methods. This CFT-MF seismic retrofitting method makes the most of the advantages of both concrete and steel pipes, thereby significantly improving constructability and increasing integration between the existing structure and the reinforcement joints. This method falls into the category of typical seismic retrofitting methods that focus on increasing strength, in which the required amount of seismic reinforcement can be easily estimated. Therefore, the method provides an easy solution to improving the strength of existing reinforced concrete (RC) structures with non-seismic details that are prone to shear failure. In the present study, a full-size two-story test frame modeled from existing domestic RC structures with non-seismic details was subjected to pseudo-dynamic testing. As a result, the effect of the CFT-MF system, when applied to existing RC structures, was examined and verified, especially as to its seismic retrofitting performance, i.e., restoring force characteristics, stiffness reinforcement, and seismic response control. In addition, based on the pseudo-dynamic testing results, a restoring force characteristics model was proposed to implement non-linear dynamic analysis of a structure retrofitted with the CFT-MF system (i.e., the test frame). Finally, based on the proposed restoring force characteristics, non-linear dynamic analysis was conducted, and the results were compared with those obtained by the pseudo-dynamic tests. The results showed that the RC frame (building) with no retrofitting measures applied underwent shear failure at a seismic intensity of 200 cm/s2, the threshold applied in seismic design in Korea. In contrast, in the frame (building) retrofitted with the CFT-MF system, only minor earthquake damage was observed, and even when the maximum seismic intensity (300 cm/s2) that may occur in Korean was applied, small-scale damage was observed. These results confirmed the validity of the seismic retrofitting method based on the CFT-MF system developed in the present study. The non-linear dynamic analysis and the pseudo-dynamic test showed similar results, with an average deviation of 10% or less in seismic response load and displacement.


2004 ◽  
Vol 35 (6-8) ◽  
pp. 673-683 ◽  
Author(s):  
Liviu Librescu ◽  
Sang-Yong Oh ◽  
Joerg Hohe

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