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proceedings of Student Mobility and ICT: Can E-LEARNING

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Summing up the results <strong>of</strong> carried out studies the following list <strong>of</strong> the subjects, tutorials on which<br />

were taken by secondary school leavers or those applying to universities, has been made up. The results are<br />

given in Table 4.<br />

Table 4: Rating <strong>of</strong> subjects, tutorials on which were most <strong>of</strong>ten taken by secondary school leavers<br />

or those applying to universities (respondents’ opinion).<br />

Subject<br />

1. Mathematics 5. Biology<br />

2. Foreign language 6. Chemistry<br />

3. Lithuanian language 7. Physics<br />

4. History<br />

Summing up data in Table 4 we see that tutorials were most <strong>of</strong>ten taken on the following subjects:<br />

Mathematics, Foreign language, Lithuanian language <strong>and</strong> History. Thus <strong>of</strong>-line <strong>and</strong> on-line preparatory<br />

courses might be organized on the same subjects. Less popular tutorials were on Biology, Chemistry <strong>and</strong><br />

Physics.<br />

Conclusions<br />

Many higher schools are not succeeding in preparing large numbers <strong>of</strong> young people for lasting<br />

success in further education <strong>and</strong> careers, most <strong>of</strong> them need preparatory courses, so we analyzed the<br />

indicators <strong>of</strong> a need for preparatory courses, which were emphasized in scientific literature: 1) lack <strong>of</strong><br />

academic performance; 2) lack <strong>of</strong> pr<strong>of</strong>essional motivation; 3) lack <strong>of</strong> career counseling; 4) differences in<br />

learning cultures if they leave secondary school; 5) differences in national cultures if they go abroad;<br />

6) differences in a social status if there is a change in family support. All these indicators lead to the<br />

reduction <strong>of</strong> drop-out rates in higher education.<br />

Drop-out <strong>of</strong> higher education institutions is determined by various predictors. The main predictors,<br />

which have been highlighted by majority <strong>of</strong> scientists, are: academic performance, low motivation,<br />

effectiveness <strong>of</strong> study habits <strong>and</strong> strategies, adequacy <strong>of</strong> study skills on entry, etc. In fact, low grades <strong>and</strong><br />

inability to study difficult subjects are one <strong>of</strong> the revealed factors; therefore, preparatory learning might be<br />

useful <strong>and</strong> needful. Statistical information on higher school drop-outs shows that highest drop-out rates are<br />

in science study programs: mathematics, physics, technical sciences, chemistry, followed by humanities<br />

sciences.<br />

Study <strong>of</strong> various documents on admission requirements to Lithuanian undergraduate consecutive<br />

studies in the context <strong>of</strong> teaching subjects, description <strong>and</strong> analysis <strong>of</strong> research on the most popular study<br />

subjects, tutorials on which were taken by school children or those seeking for admission to higher<br />

university institutions allow identify these study subjects, on which <strong>of</strong>-line <strong>and</strong> on-line preparatory courses<br />

might be <strong>of</strong>fered: Mathematics, Foreign language, Lithuanian language, History, Biology, Chemistry <strong>and</strong><br />

Physics.<br />

References<br />

Alex<strong>and</strong>er, K. L., Entwistle, D. R., & Kabbani, N. S. (2001). The dropout process in life course<br />

perspective: Early risk factors at home <strong>and</strong> school. Teachers College Record, 103, 760–822.<br />

Ashar, H., & Skenes, R. (1993). <strong>Can</strong> Tinto's student departure model be applied to non-traditional students?<br />

Adult Education Quarterly, 43(2), 90-97.<br />

Astone, N. M., & McLanahan, S. S. (1991). Family structure <strong>and</strong> high school completion. American<br />

Sociological Review, 56, 309-320.<br />

B<strong>and</strong>ura, A. (1997). Self-efficacy: The exercise <strong>of</strong> control. New York: Freeman.<br />

Barkauskait, M., Motiejnien, E. (2004). Mokymosi motyvacijos stoka ir jos sprendimo galimybes.<br />

Pedagogika, 70, 38 – 43.<br />

Barrington, B. L., Hendricks, B. (1989). Differentiating characteristics <strong>of</strong> high school graduates, dropouts,<br />

<strong>and</strong> nongraduates. Vol. 82, 3009 – 319.<br />

Battin-Pearson S., Newcomb, M.D., Abboti, R.D., Hill, K.G., Catalano, R.F., Hawkins, J.D. (2000).<br />

Predictors <strong>of</strong> early high school dropout: A test <strong>of</strong> five theories. J Educ Psychol, 92, 568–582.<br />

Conference <strong>proceedings</strong> <strong>of</strong> <strong>Student</strong> <strong>Mobility</strong> <strong>and</strong> <strong>ICT</strong>: <strong>Can</strong> E-<strong>LEARNING</strong> overcome barriers <strong>of</strong> Life-Long learning?” 92

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