Designing an English Syllabus for architecture students is important to match what they are studying at the university and their future job later. Through the syllabus, lecturers are aware of the mapping between learning outcomes, materials, teaching methods, and assessment and most importantly what students need in the future. English instruction for architecture students is included as English for Specific Purposes. In this circumstance, the lecturers must provide students with the students needs in their field, as outlined in the syllabus. To meet these requirements, the researchers conducted a Research and Development to develop an English Syllabus for Architecture students adapted from Borg and Gall (2003) including (1) needs analysis, (2) writing the product, (3) validating the product, (4) revising the product and (5) final product. Meanwhile, Language Program Development (LPD) by Yalden (1987) is chosen as the model of syllabus development. Thirty three architecture students, three architecture lecturers, and three architecture professional workers as alumni and stakeholder were involved. They were given a questionnaire, an interview, and a validation sheet to collect and triangulate the data. Then, the syllabus was developed, validated, and revised. The results showed that the syllabus of English for Architecture Students has been developed as an integrated syllabus, and it is feasible to use.
Having English for all non-English department students as a compulsory course in the institution is worthwhile for the improvement of students’ ability in using foreign language; however, practically, the students and the lecturers deal with a lot of issues regarding the implementation of the subject itself. Every English class of non-English department is a large class consisting of more than 50 and even 100 students. Handling large classes constitutes a real challenge to every lecturer that it may hinder greater academic achievement and favorable attitudes toward learning. This study aims to find out how NovoLearning program can be the alternative to cope with large class problems of non-English language students. NovoLearning program is an artificial intelligence-based mobile learning that provides a fully integrated training solution, allowing focused English language instruction, communication preparation and integrated skills training. This study employed descriptive qualitative research involving 356 non-English department students from MIPA major namely Mathematics, Biology, Chemistry, Physics, and Natural Science Education Study Programs. Interview, observation, and documentation were employed to obtain the data of this present study. The results show that NovoLearning program can elevate the efficiency of the teaching and learning level to its best quality. It witnessed several views of students that get advantages from the use of the program such as the interactivity, boost on students’ English proficiency, and high-quality feedback. The practical use of this program makes it potential to be applied not only for today’s learning as an alternative to cope with ineffectiveness of large class but also for more advanced learning in the future.
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