Sentence examples for medium programs from inspiring English sources

We mitigated this threat by using medium programs in FinG 3 and FinG 4. In the same subcategory, we also highlight that the participants identified bad smells in an unknown family of software, which is not the common.

There was a strong correlation between Language MAP test scores and academic writing scores, particularly with Word Test B, which represents words from the 1-5K most commonly occurring words, which authors such as Nation (1990), Schmitt (2000) and Meara et al., (1997)) claim are essential for reading English texts and are the minimum knowledge required to begin study in English medium programs.

These results give support to research outlining the importance of English proficiency (Yushau & Omar, 2007), and in particular, vocabulary knowledge as a prerequisite for academic success in English medium programs (Meara, et al. 1997; Waring & Nation, 2004; Hsueh-Chao & Nation, 2000).

Research exploring the challenges facing L2 students in English medium programs primarily focus on L2 English users in Anglophone countries, such as Australia and USA (see, Murray, 2012; Read, 2008), rather than English L2 users at universities and colleges in countries where English is not the primary language outside the classroomb.

Furthermore, the costs associated with a colonoscopy-only simulator, for example, is prohibitive to most small to medium programs.

Figure 5 shows that medium program run lengths produce the best detection accuracy coupled with the lowest FN rates.

The TYN test is discussed as reliable, cost and time effective general measure of AEP and for showing if students have the necessary vocabulary knowledge to undertake study in a tertiary level English medium program.

Regardless of the exercise medium, program goals can vary significantly.

The outcomes indicate small to medium program effects.

FinG 3 used four medium size programs.

The pilot was useful in FinG 3 because it helped us to adjust the Answer form, which was different from FinG 1 and FinG 2, and to evaluate the time, because we asked the participants to analyze 12 classes of four medium size programs (more complex that those used in FinG 1/FinG 2).