Adapting the graduation efficiency index to provide a consistent basis for assessment of student progress towards graduation

Graduation efficiency is of top concern for institutions of higher education throughout the world. Increasingly, accountability metrics have come under scrutiny as policymakers seek to ensure public resources are efficiently used. Traditionally, higher education policymakers in the USA and Europe have used graduation rate as an accountability measure to assess a university’s efficient use of resources. This time-to-degree method, however, does not take into account the shift in student demographics from a traditional full-time student to the diverse group of students pursuing higher education through varied paths, including balancing work with reduced course loads, studying abroad, completing internships, among others. These changes suggest additional accountability measures are needed to accurately capture student progress as it relates to resource utilisation. This research adapts the Graduation Efficiency Index proposed by Gillmore and Hoffman (1997) to a cohort-based model to allow for evaluating retention policies implemented by cohorts to improve student progress.     

The Influence of Learning Styles on Knowledge Acquisition in Public Sector Management

This research note outlines a project designed to investigate the role of training institutions in providing effective training and development programmes for managers. The investigation is being carried out in the light of recent criticisms levelled against the nature of formal learning environments prevalent in most institutional settings. The traditional role of trainers and developers as the providers of knowledge and skills for the development of competent managers runs contrary to recent findings, which suggest that managers learn more effectively in informal settings, rather than the formal settings evident in many development programmes. The idea that explicitly extracted competencies are the target every manager should aim for to improve their effectiveness is also challenged because competencies alone are no longer regarded as a sufficient criterion for success. Recent research has attached greater importance to the need to help managers see knowledge as a social phenomenon, and one factor that might distinguish successful managers from others is tacit knowledge. A major focus of this study is to explore the possibility that the level and content of tacit knowledge acquired by managers may be influenced by their individual learning styles, and the degree to which their dominant styles are matched with the context of their work environment.     

Financial Literacy and Economics Education Among Young Adults: An Observation From Tunisia

Financial literacy is a key element in financial decision making and well-being, which may affect all areas of our lives. Inadequate levels of financial literacy, particularly among young adults, is a global problem. This study addresses the following questions: are young adults financially literate, and how can this be measured? This study examines financial literacy and economics education among university students in Tunisia. The findings suggest that university students have inadequate knowledge of personal investment. Most importantly, the authors find that financial illiteracy is prevalent. Although this study was limited to Tunisian students, applications to broader young adult populations, particularly in the assessment method, are easily made.     

Enantioselective assembly of multi-layer 3D chirality

The first enantioselective assembly of sandwich-shaped organo molecules has been achieved by conducting dual asymmetric Suzuki-Miyaura couplings and nine other reactions. This work also presents the first fully C-C anchored multi-layer 3D chirality with optically pure enantiomers. As confirmed by X-ray diffraction analysis that this chiral framework is featured by a unique C₂-symmetry in which a nearly parallel fashion consisting of three layers: top, middle and bottom aromatic rings. Unlike the documented planar or axial chirality, the present chirality shows its top and bottom layers restrict each other from free rotation, i.e., this multi-layer 3D chirality would not exist if either top or bottom layer is removed. Nearly all multi-layered compounds showed strong luminescence of different colors under UV irradiation, and several randomly selected samples displayed aggregation-induced emission (AIE) properties. This work is believed to have broad impacts on chemical, medicinal and material sciences including optoelectronic materials in future.     

Blockchain technology awareness on social media: Insights from twitter analytics

PurposeThis study investigates the affective technology acceptance model applied to the case of blockchain through Twitter text mining.Design/methodology/approachThe analysis focuses on mapping the acceptance drivers of the blockchain technology by visualizing the users perception constructs through Blockchain hashtags. More than 5000 relevant tweets per day were collected between December 15, 2020, and January 15, 2021. The Kruskal-Wallis and the Mann-Whitney tests were applied over the frequency of the characteristics and the emotions' measurements to validate the research hypotheses.FindingsThe results prove that users show more interest in security, shareability, and decentralization characteristics. Therefore, the blockchain technology usefulness is rather perceived in the informational domain, and the blockchain ease of use is further expressed in smart contracts as a use case. Blockchain benefits are more discussed than the drawbacks among Twitter users. Besides, positive feelings with strong emotions of trust and joy dominate among users. In summary, the results show significant awareness of users towards blockchain technology.OriginalityTo the best of the authors' knowledge, this paper is the first study that explores the affective technology acceptance model with user-generated content analysis.     

Anti-migratory effects of Piper betle leaf aqueous extract on cancer cells and its microtubule targeting properties

Journal of Zhejiang University-SCIENCE B - 本文研究了槟榔 (Piper betle, PB)...     

Morning–evening difference of team-handball-related short-term maximal physical performances in female team handball players

This study investigated the two different time-of-day effect on team-handball-related short-term maximal physical performances. At two different time-of-day, fifteen young female team handball players performed different physical tests: HandGrip (HG) test, Ball-Throwing Velocity (BTV) test, Modified Agility T-test (MAT) and Repeated Shuttle-Sprint and Jump Ability (RSSJA) test. Rating of perceived exertion (RPE) scale was determined following the termination of the last test. Measurements were performed at two separate testing sessions (i.e., in the morning (7:00–8:30 h) and in the early evening (17:00–18:30 h)) in a randomised and counter-balanced setting on non-consecutive days. The results showed that HG (P = 0.0013), BTV (P = 0.0027) and MAT (P < 0.001) performances were better in the evening compared with the morning. During RSSJA, both best and mean sprint times were shorter in the evening compared to the morning (P < 0.001). Moreover, during the latter test, mean jump performance was higher in the evening compared to the morning (P = 0.026). However, there was no morning–evening difference in the best jump performance during RSSJA. Likewise, jump performance decrement was not affected by the time-of-day of testing. On the other hand, RPE fluctuated, with morning nadirs and afternoon/early evening highest values. The findings suggest that in female team handball players, team-handball-related short-term maximal physical performances were better in the afternoon than in the morning.     

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.     

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.     

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.