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.0.pdf 4. Cortez, P., A. Silva. Using Data Mining to Predict Secondary School Student Performance. EUROSIS. A. Brito and J. Teixeira, Eds. 2008, 5-12. 5. DeLong, C., P. Radclie, L. Gorny. Recruiting for Retention: Using Data Mining and Machine Learning to Leverage the Admissions Process for Improved Freshman Retention. - In: Proc. of the Nat. Symposium on Student Retention, 2007. 6. Dekker, G., M. Pechenizkiy, J. Vleeshouwers. Predicting Students Drop Out: A Case Study. - In: Proceedings of 2nd International Conference on Educational Data Mining (EDM’09), 1-3 July 2009

Educational Production in East Asia: The Impact of Family Background and Schooling Policies on Student Performance Ludger Wößmann Ifo Institute for Economic Research at the University of Munich and CESifo Abstract. East Asian students regularly take top positions in international league tables of educational performance. Using internationally comparable student-level data, I estimate how family background and schooling policies affect student performance in five high-performing East Asian economies. Family background is a strong predictor of student performance

MARSHALL N. ARLIN, JR. 14 North Carolina Advancement School Winston-Salem The effects of formative evaluation on student performance * REVIEW OF THE PROBLEM Recent applications of formative evaluation in education have typically involved criterion-referenced tests, provisions for feedback and correction based on the tests, and provision for adequate learning time to achieve mastery of each criterion unit. (Airasian 1969, 1971; Block 1970, 1971, 1973; Bloom 1967, 1968; Bloom, Hastings & Madeus, 1971; Glaser 1968; Horn 1972; Kim 1971; Knipe 1973

3 The Growing Cost of Laughter BASOCHE AND STUDENT PERFORMANCE By the middle of the sixteenth century, even before the outbreak of the Wars of Religion in I 5 62, the opportunities for satirical theater began to contract. Although festive societies continued to perform farces in the city streets, they were subject to more regulation and sometimes to outright cen- sorship. This transformation of comic theater was linked to two interrelated phenomena: the growing assertiveness of royal political institutions, notably the parlements, and the rising tide of

NASPA Journal, Vol. 40, no. 4, Summer 2003 The LTH Program—A Structured Introductory Process to Improve First-Year StudentsPerformance and Learning Leif Bryngfors Gerhard Barmen ❖ Swedish higher education personnel have come to realize that they now face a problem in higher education: student retention. They have attempted to resolve the problem in a manner consistent with Swedish ethos. The explorations led to the development of the LTH (Swedish abbreviation for Lund Institute of Technology) program, which com- bines an orientation process with a support

1 Introduction The fostering of school competition to improve quality is an important driver of educational policy (e. g., No Child Left Behind in the United States). Many states and cities have adopted accountability systems and voucher programs. These policies may enable increased school choice, provide schools with incentives to improve student performance, or impose corrective actions on poorly performing schools – even closing schools with persistently low academic performance. However, past studies on school competition have been inconclusive; some have

job interviews. To investigate this, the actual spoken language used in simulated job interviews by six final-year university students who were on the verge of entering the job market was analysed and compared with the perspectives of two human resource managers. Thus, this research was driven by the following questions: – To what extent do undergraduate students demonstrate communicative competence in simulated job interviews? – How do human resource managers assess undergraduate studentsperformance using the same data? To achieve the above aims, the data was

Abstract

Background: The students’ progression towards completing their higher education degrees possesses stochastic characteristics, and can therefore be modelled as an absorbing Markov chain. Such application would have a high practical value and offer great opportunities for implementation in practice.

Objectives: The aim of the paper is to develop a stochastic model for estimation and continuous monitoring of various quality and effectiveness indicators of a given higher education study programme.

Method: The study programme is modelled by a finite Markov chain with five transient and two absorbing states. The probability transition matrix is constructed. The quantitative characteristics of the absorbing Markov chain, like the expected time until absorption and the probabilities of absorption, are used to determine chosen indicators of the programme.

Results: The model is applied to investigate the pattern of students’ enrolment and their academic performance in a Slovenian higher education institution. Based on the students’ intake records, the transition matrix was developed considering eight consecutive academic seasons from 2008/09 until 2016/17. The students’ progression towards the next stage of the study programme was estimated. The expected time that a student spends at a particular stage as well as the expected duration of the study is determined. The graduation and withdrawal probabilities were obtained. Besides, a prediction on the students’ enrolment for the next three academic years was made. The results were interpreted and discussed.

Conclusion: The analysis presented is applicable for all higher education stakeholders. It is especially useful for a higher education institution’s managers seeing that it provides useful information to plan improvements regarding the quality and effectiveness of their study programmes to achieve better position in the educational market.

students. SP encounters are an alternative to clinical experiences and a standardized criterion for student performance evaluation. Careful development of encounters, selection and training of SPs, support and debriefing of all participants are essential to a positive SP encounter. SP encounters should be developed based on objectives and competency criteria and relate to actual events. Encounter scripts incorporating any “traditional” language often associated with a specific medical condition are beneficial to standardizing the process. SP preparation in- volves

. Predicting Academic Performance. – In: Proc. of 36th Annual Conference in Frontiers in Education, 2006, pp. 21-26. 10. Hilary, L. S. Studies in the History of Probability and Statistics. XV Historical Development of the Gauss Linear Model. – Journal of Biometrika, Vol. 54 , 1967, No 1/2, pp. 1-24. 11. Huang, S., N. Fang. Predicting Student Academic Performance in an Engineering Dynamics Course: A Comparison of Four Types of Predictive Mathematical Models. – Computers and Education, Vol. 61 , 2013, pp. 133-145. 12. Kabakchieva, D. Predicting Student Performance by Using