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Courseware integration into task-based learning: a case study of multimedia courseware-supported oral presentations for non-English major students

Published online by Cambridge University Press:  16 May 2011

Shu-Chiao Tsai*
Affiliation:
Department of Applied Foreign Languages, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Rd., Kaohsiung 80778, Taiwan, R.O.C (email: achiao@cc.kuas.edu.tw)
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Abstract

This study reports on the integration of English for Specific Purposes (ESP) multimedia courseware for oral presentations into a self-learning and elective program for non-English major students in an English as a Foreign Language (EFL) setting. A computer-aided instruction approach, combined with a task-based learning approach, was adopted. Computers played a central role as the means of information delivery. The courseware acted as a silent partner and played the role of a tutor and adjunct teacher to provide students with authentic materials for learning to give English oral presentations in international business and technical settings. It offered a variety of learning activities with instant on-line self-evaluation for students to practice integrative language skills and learn content knowledge. Evaluation of student performance was based upon data from pre- and post-tasks, student questionnaires about concerns, and an open-ended questionnaire. After active participation and self-learning, most of the non-English major students clearly indicated they had made some improvement or progress and felt their learning effectiveness for preparing speech texts was significantly improved. In addition, they had become more concerned about their English ability and the ESP courseware was able to meet their need for greater linguistic support to enhance their language ability.

Information

Type
Regular papers
Copyright
Copyright © European Association for Computer Assisted Language Learning 2011
Figure 0

Fig. 1 Bilingual buttons design for selecting sections and their learning topics and unit shown on the main page of the courseware

Figure 1

Fig. 2 The self-checking system for the listening test: the incorrect part of the learners’ reply is shown in red, and its reference answer is in green

Figure 2

Table 1 Frequency for the items given in the first two slides of NEM students’ pre- and post-tests

Figure 3

Table 2 Paired samples t-test analysis of NEM students’ speech texts of the students

Figure 4

Table 3 Results of students’ questionnaire of concern before learning with the courseware

Figure 5

Table 4 Independent samples t-test analysis between non-English major students and sophomore students with English major