Physiological responses to ball-drills in regional level male basketball players

The main aim of this study was to assess the physiological responses of male basketball players during usual basketball ball-drills. Fourteen male basketball players (age 18.9 ± 2.3 years) performed the following full-court (28 × 15 m) basketball ball-drills (3 × 4-min with 3-min passive rest): five-a-side (5v5), three-a-side (3v3) and two-a-side (2v2). A main effect (P < 0.0001) for ball-drills modes was evident for all variables (5v5 < 3v3 < 2v2). Mean [Vdot]O(2) during the 5v5, 3v3 and 2v2 were 39.0 ± 7.2, 42.0 ± 7.5 and 45.0 ± 6.5 ml · kg(-1) · min(-1) (69 ± 11, 74 ± 12 and 79 ± 11% of [Vdot]O(2peak)) respectively (5v5 = 3v3 < 2v2, P < 0.001). Mean blood-lactate concentrations for 5v5, 3v3 and 2v2 were 4.2 ± 1.8, 6.2 ± 2.3 and 7.8 ± 1.2 mmol (l(-1) respectively (5v5 < 3v3 < 2v2, P < 0.01). During the 5v5, 3v3 and 2v2 mean heart-rate (HR) was 84.0 ± 9.2, 88.0 ± 8.4 and 92.0 ± 5.6% of the individual peak respectively (5v5 < 3v3 < 2v2; P < 0.001). No significant differences were found between the regression-line slope (P = 0.86) and intercept (P = 0.45) of the HR-[Vdot]O(2) relationships of the multistage maximal fitness test (r(2) from 0.80 to 0.96, P < 0.001) and ball-drills (r(2) from 0.70 to 0.95, P < 0.001) conditions. Reducing the number of players over the same playing court resulted in increments in physiological demands. The 2v2 condition provided responses in the range of those reported to improve aerobic and anaerobic fitness. The aerobic demands of ball-drills can be accurately assessed using heart-rate monitoring in basketball.     

Live and learn from mistakes: A lightweight system for document classification

We present a Life-Long Learning from Mistakes (3LM) algorithm for document classification, which could be used in various scenarios such as spam filtering, blog classification, and web resource categorization. We extend the ideas of online clustering and batch-mode centroid-based classification to online learning with negative feedback. The 3LM is a competitive learning algorithm, which avoids over-smoothing, characteristic of the centroid-based classifiers, by using a different class representative, which we call clusterhead. The clusterheads competing for vector-space dominance are drawn toward misclassified documents, eventually bringing the model to a “balanced state” for a fixed distribution of documents. Subsequently, the clusterheads oscillate between the misclassified documents, heuristically minimizing the rate of misclassifications, an NP-complete problem. Further, the 3LM algorithm prevents over-fitting by “leashing” the clusterheads to their respective centroids. A clusterhead provably converges if its class can be separated by a hyper-plane from all other classes. Lifelong learning with fixed learning rate allows 3LM to adapt to possibly changing distribution of the data and continually learn and unlearn document classes. We report on our experiments, which demonstrate high accuracy of document classification on Reuters21578, OHSUMED, and TREC07p-spam datasets. The 3LM algorithm did not show over-fitting, while consistently outperforming centroid-based, Naïve Bayes, C4.5, AdaBoost, kNN, and SVM whose accuracy had been reported on the same three corpora.     

A structured career intervention program for academically challenged students

A study was carried out to test the effects of a 2-week structured intervention program on academically challenged students’ career development. A quasi-experimental study was designed using pre-tests, post-tests, and a control group approach to examine the effects of the intervention program. Data were collected from both the experimental and control groups. The test was carried out on eight schools in the state of Kedah in Malaysia. Eight school counselors were trained to facilitate the assignment to the experimental groups and to collect data. A total number of 335 students with low academic achievement participated in this study. This number included male (43.6 %) and female (56.4 %) students who were aged 15–16 and a half. Modes of measurement used consisted of a career planning inventory (measuring career planning skills), an academic learning motivation scale (measuring attitude toward academic learning), and an academic study skills test (measuring academic study competencies). Analysis was performed using t-tests and the multivariate analysis of variance to examine the differences in the mean scores. The results show that the sample’s career academic score improved significantly from the pre-test to the post-test. A simple regression analysis was also performed to see the effect of the intervention program on the three dependent variables, which revealed that the career intervention program has positive and significant effects on the three variables. However, further studies on the career program for academically challenged students are highly recommended to support the present study.     

A managerial perspective on institutions' administration readiness to diffuse blended learning in higher education: Concept and evidence

Abstract

There has been rapid development in Blended Learning (BL) diffusion and prior studies mainly focused on issues related to students and lecturers in improving teaching and learning outcomes, but very few studies focused on institution’s readiness and diffusion issues. Thus, there is need for institutional-based research to guide universities, colleges, and polytechnics to strategically diffuse BL. Accordingly, this study develops a model to investigate the variables and associated factors that influence institutions' administration readiness to diffuse BL initiatives based on Diffusion of Innovation (DoI) theory and institutional BL adoption framework that comprises of mature implementation stage of BL. Quantitative research approach was employed and data was collected using online survey questionnaire from 223 e-learning administrators/managers in Malaysia universities, colleges, and polytechnics. Next, Partial Least Square-Structural Equation Modeling (PLS-SEM) technique was employed for data analysis. Results indicate that institutional structure, resource support, technology infrastructure, management strategies, and ethical considerations are key variables that positively predict administration readiness to diffuse BL initiatives in higher education. Additional results from Importance Performance Map Analysis (IPMA) in PLS-SEM suggest that institutional structure has the strongest effect on administrators’ readiness to diffuse BL and is also the most important variable that influences BL diffusion in institutions. Theoretically, findings from this study provide insights on how institutions’ administration perception and acceptance of BL approach can be enhanced. Practically, the developed model can be employed as a readiness tool to assess institutions current state in implementing BL environment and further provides a road map for future improvement.     

Values—— A study of teacher and student perceptions in four countries

The study aimed to assess and compare the values prevalent among the students and teachers of Universities in Bangladesh, Japan, USA and Germany. The sample consisted of 480 students and 236 teachers. The sample included 120 undergraduate students Japan; 120 undergraduate students from Bangladesh; 120 undergraduate students from USA, and 120 undergraduate students from Germany. The faculty sample included 60 teachers from Japan, 60 teachers from Bangladesh; 60 teachers from USA, and 56 teachers from Germany. To identify the value preferences of the individuals a list of 10 values, pro-social, achievement, power over others, security, self direction, otherworldliness, fatalism, narcissism, inner directed, and conservative, based on previous values studies by Singh and Parek were prepared. The first five values were identified in previous studies as functional （Singh, 1975） and other five were identified as dysfunctional （Parek, 1988） in the context of national development of Asian cultures. The results revealed that Bangladeshi students held stronger preferences for values identified as functional values than for those identified as dysfunctional. Japanese students indicated stronger preferences for the values identified as functional values except narcissism. The American students indicated a preference for three of the five values identified as functional but also ranked narcissism and other worldliness as third and fifth preferred values respectively. German student showed a preference for functional values, except narcissism which they also ranked as third. Bangladeshi teachers＇ preferences for functional values were higher than dysfunctional values. Japanese teachers indicated a preference for functional values except narcissism. American teachers preferred functional values except other worldliness. German teachers＇ value preferences were also functional, except for narcissism which they ranked as fifth. Students and teachers in the four countries sampled indicate preferences for values identified as functional with few exceptions. This research suggests that value preferences among university students and teachers are more similar than different, suggesting a homogenizing effect （Boli, 2005） on human values.     

Repeated sprint ability in young basketball players: one vs. two changes of direction (Part 1)

The present study aimed to compare the changes of direction on repeated sprint ability (RSA) vs. intensive repeated sprint ability (IRSA) protocols in basketball. Eighteen young male basketball players performed on RSA [10 × 30-m (15 + 15-m, one change of direction)] and IRSA [10 × 30-m (10 + 10 + 10-m, two changes of direction)]. A correlation matrix between RSA, IRSA, “squat jump (SJ)–countermovement jump (CMJ)”, footstep analysis and total distance in Yo-Yo intermittent recovery level 1 was performed. The best time, worst time, total time and the number of footsteps were significantly smaller in the RSA test compared to IRSA test (P < 0.001), even though they were significantly correlated with each other (r > 0.80, P < 0.05). Blood lactate level and fatigue index did not show any difference between tests. The sensibility of the two tests assessed by the Bland–Altman analysis revealed a small bias (<1.5%) for almost all variables. Moreover, almost all time variables of the two tests were significantly correlated with the SJ (r > 0.478, P < 0.05), CMJ (r > 0.515, P < 0.05) and Yo-Yo (r > 0.489, P < 0.05) performances. The IRSA provided a reliable method for assessing specific sprint ability (with 10-m legs for IRSA ~2.3 s vs. 15 m for RSA ~3 s) with a closer link to basketball game’s actions (~2 s). Besides, IRSA could be an appropriate choice for assessing both RSA and changes of direction capacities in basketball players.     

Exploring the interrelationships between technological predictors and behavioral mediators in online tax filing: The moderating role of perceived risk

This study investigates the interrelationships between technological predictors and behavioral mediators in explaining users' continuance intention for online tax filing. Building on information systems (IS) success and IS continuance literature, this study proposes an extended conceptual framework by adding perceived functional benefit (PFB) as mediating, perceived risk as moderating, and demographic characteristics as control variables. The data collected, through a web-based survey, from 409 users of e-tax services in an emerging economy are analyzed through covariance-based structural equation modeling. Results confirm that PFB, confirmation of expectation, and satisfaction are the major antecedents of continuance intention for e-tax filing. The study also finds the evidence for the indirect effects of IS success factors on continuance intention through such antecedents. In addition, results suggest that the relationships between PFB and satisfaction as well as between PFB and continuance intention are contingent on the users' levels of perceived risk. The study concludes with the useful implications for academicians and policymakers in the context of an emerging economy.     

Enhancing employability through industrial training in the Malaysian context

This study discusses the industrial training programme at the University of Malaya in Malaysia, specifically the issues that need to be addressed in order to enhance the employability skills of graduates. Findings from the feedback obtained from trainees and organizations in the 2008/2009 academic session were examined in terms of the extent to which trainees felt they were prepared for their training, and the extent to which the tasks given to them during their training were appropriate. Further, trainees’ self-rating of particular skills and industry’s rating of the trainees were also examined. The feedback is discussed in the context of the need to equip graduates with employability skills, an issue facing Higher Education Providers worldwide. The findings indicate that most of the students were prepared to face the world of work. However, there were several issues which needed attention. These included the need to address the possible mismatch between the tasks assigned to trainees and their areas of study, and the need to enhance English language competency and particular soft skills throughout their degree programme. Continuous input from industry is also necessary to ensure that the training benefits all parties and contributes to the employability skills of trainees.