scholarly journals International Research Students’ Experiences in Academic Success

2013 ◽  
Vol 1 (3) ◽  
pp. 275-280
Author(s):  
Joanne Sin Wei Yeoh ◽  
Daniel R Terry
2008 ◽  
Vol 45 ◽  
pp. 35-44
Author(s):  
Margarita Putniņa

Pasirinktas tyrimo aspektas yra svarbus edukacinei veiklai. Mokslininkai, jį tyrinėję anksčiau (Weiner, Bar-Tal, Brophy ir kiti), skatina universitetų dėstytojus padėti studentams susikurti tinkamą aplinką, galinčią turėti įtakos jų pasiekimams ir poveikį jų elgsenai. Tai padėtų išvengti akademinių nesėkmių. Praktinis tyrimas atskleidė, koks yra studentų kasdienis indėlis siekiant akademinių laimėjimų ar patiriant nesėkmę. Klausimas buvo tiriamas pateikus neviešinamus individualius klausimus. Panašūs tyrimai buvo atlikti ir LU A, Latvijos universitetuose ir Talino universitete. Estijoje buvo siekiama palyginti, kiek kultūrinė aplinka ir kalba gali paveikti, lemti studentų mąstymą ir veiksmus, taip pat komunikacijos procesus. Antroji tyrimo dalis pristato giluminius interviu, kuriuos taikant buvo apklausti 6 universitetų dėstytojai. Viena vertus, dėstytojai sutaria, kad latviai yra egocentriška tauta, bet, kita vertus, jie yra atviresni tarpasmeniniam dialogui nei estai.Do culture and its social environment determine humans’ perception of their achievement related behaviour?Margarita Putniņa SummaryThe chosen research topic is valuable for educational practice. Scientists who have researched it (Weiner, Bar-Tal, Brophy, et al.) encourage university teachers to help students create appropriate attributions for their achievement-related behaviour, preventing failure in academic activities. In the practical research, students’ causal attributions of their academic success and failure were studied using open-ended questions. A similar research was done half a year ago in LUA, Latvia and Tallinn University, Estonia in order to compare how the cultural environment and language influence the students’ way of thinking and acting, including the process of communication.The most prevailing cause of failure in students’ answers was ‘other people’, like in the previous research (44% now, 53% before), but as regards success internal causes prevailed (55% now, 55% before).The category of interaction still remained a rather important factor in both the case of success and the case of failure (success 11.7% and to failure 17% now, success 18% and failure 21% before).The sign of self-serving bias was affirmed again.The second part of practical research consisted of the analysis of material obtained by deep interviews with six university teachers involved in teaching the students-respondents. On the one hand, teachers consider Latvians to be an ego-centred nation, but on the other hand, they are more open than Estonians to interpersonal dialogue.Key words: causal attributions, self-serving bias, academic achievements, students, teachers


Author(s):  
Saeide Amerioon ◽  
Mohammad Mehdi Hosseini ◽  
Mahshid Moradi

AbstractEducational data mining is an emerging exquisite field that has been successfully implemented in higher education. One of the best ways to increase the efficiency of this emerging phenomenon is to select efficient professors and effective teaching methods. This study is intended to show academic success factors to have better management in student curriculum, contextualizing the progress and to prevent unfavorable conditions for students. In this research, students of Shahrood University of Technology were studied. Initially, 3,765 samples of students' educational background were considered. Then, pre-processing was performed to make the data normalized. Next, several predictive models were developed using a supervised data mining approach. Next, five algorithms by the best result were selected. Comparing the results of algorithms applied to data, the two algorithms, radial basis function network and the Naïve Bayes with respectively value F-measure 0.929 and 0.942 showed more accurate results. Finally, the most effective feature was selected, the attributes ‘maximum semester’ and ‘the total number of units dropped’ were ranked an the most important, and the three attributes of ‘the basic courses average’, ‘the number of units of main courses’ and ‘the total average’, were placed in the next ranks.


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