Similarities,divergence, and incapacity in the Bologna Process reform implementation by the former-socialist countries: the self-defeat of state regulations

This qualitative analysis describes the socialist legacy in the governance of higher education within the former Soviet-led member countries that entered the European Higher Education Area (EHEA) between 2001 and 2010. In joining the EHEA these countries signed on for the Bologna Process (BP), but are not members of the European Union. The analysis is based on EHEA BP Country Reports and a survey of Western academic literature and sources from the former-socialist region. It is argued that ministries of education are little engaged with academic and civic communities, in large part because policymakers underestimate the depth of the cultural and institutional changes that are necessary for educational reforms. Therefore, deep convergence of the new signatory countries to the EHEA via the BP has not occurred. Concurrently, West European measures intended to empower educational communities operate perversely in the post-socialist region, characterised by low civic and state capacities. The over-emphasis on bureaucratic checks and controls negates two important aspirations of Bologna: on the one side, university autonomy, empowerment of faculty, and development of local communities; and on the other side, the free flow of international knowledge. Without an adjustment of policies, the prospects for effective reforms are dimmed.     

Online homework impact in undergraduate mathematics and business statistics courses

This evaluation examines the impact on student success rates related to changes in instructional programmes in undergraduate mathematics and statistics courses. Success for students taking courses with a computer-based homework component was compared with success of students who took the course in prior semesters without the computer-based component. Graphical and analytical tools are used to compare results. Results come from multiple semesters of each type of homework application, for both pre-calculus algebra and business statistics courses. Students whose performance is utilised in this study are undergraduate students taking introductory level college mathematics or business statistics courses, with mostly no prior instruction at this level. Comparing the success of the intervention group with the success of the baseline control group, findings support that the students using the computer-based homework instruction are just as successful as those using the traditional method of homework instruction. Utilising the online homework applications, provide several important advantages in today’s universities, including the reduced time for faculty grading, consistency of graded assignments across all sections of a course and most importantly, immediate feedback for students.     

Visualizing statistical edutainment: What you see is what you get

Concepts of data visualization are explored using statistics educational fun items and illustrated by sharing results from the experiment we conducted on cartoon captions.     

Are the Yo-Yo intermittent recovery test levels 1 and 2 both useful? Reliability,responsiveness and interchangeability in young soccer players

Abstract

The aim of this study was to compare the reliability, internal responsiveness and interchangeability of the Yo-Yo intermittent recovery test level 1 (YY1), level 2 (YY2) and submaximal YY1 (YY1-sub). Twenty-four young soccer players (age 17 ± 1 years; height 177 ± 7 cm; body mass 68 ± 6 kg) completed each test five times within pre- and in-season; distances covered and heart rates (HRs) were measured. Reliability was expressed as typical error of measurement (TEM) and intraclass correlation coefficient (ICC). Internal responsiveness was determined as effect size (ES) and signal-to-noise ratio (ES_TEM). Interchangeability was determined with correlation between training-induced changes. The TEM and ICC for distances in the YY1 and YY2 and for HR in YY1-sub were 7.3% and 0.78, 7.1% and 0.93 and 2.2% and 0.78, respectively. The ESs and ES_TEMs were 0.9 and 1.9 for YY1, 0.4 and 1.2 for YY2 and ?0.3 and ?0.3 for YY1-sub. Correlations between YY1 vs. YY2 and YY1-sub were 0.56 to 0.84 and ?0.36 to ?0.81, respectively. Correlations between change scores in YY1 vs. YY2 were 0.29 and ?0.21 vs. YY1-sub. Peak HR was higher in YY1 vs. YY2. The YY1 and YY2 showed similar reliability; however, they were not interchangeable. The YY1 was more responsive to training compared to YY2 and YY1-sub.