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Although a vast body of studies regarding the variables related to students' achievement exists, only a handful has investigated how these variables combine and interact together. Such an investigation might make it possible to more accurately illustrate the heterogeneity of students enrolling in university and assess the impact of this diversity on academic achievement. The current study focused on the person-centered approach and investigated the possibility of determining significant subgroups of freshmen in the very first week of the academic year in the Belgian educational context. Using k-mean clustering, 2178 freshmen were classified according to their past performance, socioeconomic status, study choice process, and academic self-efficacy beliefs at the beginning of the first year at university. Analyses of variance were also conducted to analyze the relationship between these student clusters and academic achievement outcomes. Six distinct profiles of students were identified representing different combinations of achievement predictors. Results revealed different odds of success among these profiles. The implications of our approach to the understanding of the heterogeneity of freshmen and the first-year achievement process are discussed.

This paper presents a prospective study aimed at identifying the predictors of academic achievement among first-year university students. It tries to develop an inclusive view of academic achievement by taking into account the possible differential impact of several predictors in two different faculties of the university. Some 317 university students from the two faculties (science and physical education), who were in their first year at university, participated in the study. During the academic year, these students completed a questionnaire. The outcome variable was their average academic mark at the end of the year. Multiple regression analyses were performed to identify the most powerful predictors of achievement. The results showed that past school failure, parental education and self-efficacy beliefs predicted achievement in both programs. Age, secondary-school specialisation, reasons for choosing the program, deep processing, time spent studying and intention to persist have also been highlighted as significant predictors of success, but only in one of the two faculties. Self-efficacy was the most powerful predictor of achievement in physical education courses, whereas intention to persist was the most powerful predictor in science. These results show the importance of adopting an integrated and contextualised approach to exploring the predictors of academic achievement at university.