scholarly journals Forecasting Undergraduate Majors Using Academic Transcript Data

2021 ◽  
Author(s):  
David Nathan Lang ◽  
Alex Wang ◽  
Nathan dalal ◽  
Andreas Paepcke ◽  
Mitchell Stevens
Keyword(s):  
Academic Career ◽  
Private University ◽  
Forecasting Accuracy ◽  
College Entry ◽  
Course Sequences ◽  
Class Voting ◽  
Data Capturing ◽  
The Relationship ◽  
Better Than ◽  
Random Guessing

Abstract: Committing to a major is a fateful step in an undergraduate education, yet the relationship between courses taken early in an academic career and ultimate major selection remains little studied at scale. Using transcript data capturing the academic careers of 26,892 undergraduates enrolled at a private university between 2000 and 2020, we describe enrollment histories using natural-language methods and vector embeddings to forecast terminal major on the basis of course sequences beginning at college entry. We find (I) a student's very first enrolled course predicts major thirty times better than random guessing and more than a third better than majority-class voting, (II) modeling strategies substantially influence forecasting accuracy, and (III) course portfolios varies substantially within majors, raising novel questions what majors mean or signify in relation to undergraduate course histories.

scholarly journals Advertising Media Impact in Consumer Buying Behavior

2019 ◽  
Vol 8 ◽  
pp. 54-56
Author(s):  
Ashmita Dahal Chhetri
Keyword(s):  
Consumer Behavior ◽  
Young Male ◽  
Electronic Media ◽  
Buying Behavior ◽  
Media Impact ◽  
High Degree ◽  
The Impact ◽  
Buying Behaviors ◽  
The Relationship ◽  
Better Than

Advertisements have been used for many years to influence the buying behaviors of the consumers. Advertisements are helpful in creating the awareness and perception among the customers of a product. This particular research was conducted on the 100 young male and female who use different brands of product to check the influence of advertisement on their buying behavior while creating the awareness and building the perceptions. Correlation, regression and other statistical tools were used to identify the relationship between these variables. The results revealed that the relationship between media and consumer behavior is positive. The adve1tising impact on sales and there is positive and high degree relationship between advertising and consumer behavior. The impact on advertising of a product of electronic media is better than non-electronic media.

scholarly journals Comparative Study on Relative Fossil Energy Carrying Capacity in China and the United States

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2972
Author(s):  
Zhili Zuo ◽  
Jinhua Cheng ◽  
Haixiang Guo ◽  
Yonglin Li
Keyword(s):  
United States ◽  
Carrying Capacity ◽  
The United States ◽  
Reference Area ◽  
Energy Sustainability ◽  
Fossil Energy ◽  
The Relationship ◽  
Population And Environment ◽  
Better Than ◽  
Innovative Concept

Based on resource carrying capacity, this study used the revised theory of relative resource carrying capacity (RRCC) and introduced an innovative concept of relative fossil energy carrying capacity (RFECC), which evaluates the degree of fossil energy sustainability based on the relationship between economy, population, and environment. This study took China and the United States as the study objects, took the whole country as the reference area, and calculated the RFECC of population, economic, and environmental resources from 2000 to 2018. Therefore, based on the comparative analysis, the following conclusions were drawn: (i) there is a big difference in the RFECC between China and the United States, which is manifested in the inverted U-shaped trend in China and the U-shaped trend in the United States; (ii) the relative fossil energy carrying states in China and the United States are different, mainly reflected in the economy and environment; (iii) the gap in RFECC between China and the United States has gradually widened; in general, China’s economic RFECC is better than that of the United States, while environmental RFECC and population RFECC in the United States is better than that of China; and (iv) coal and oil should be used as a breakthrough point for the sustainable fossil energy and sustainable development for China and the United States, respectively.

scholarly journals Academic Press and Student Engagement: Can Academic Psychological Capital Intervene? Test of a Mediated Model on Business Graduates

2019 ◽  
Vol 8 (3) ◽  
pp. 134
Author(s):  
Meryem Fati ◽  
Umair Ahmed ◽  
Waheed Ali Umrani ◽  
Fazluz Zaman
Keyword(s):  
Student Engagement ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Psychological Capital ◽  
Private University ◽  
Academic Press ◽  
Academic Efficacy ◽  
Business Graduates ◽  
Research Gap ◽  
The Relationship

Psychological wellbeing has gained much prominence over the recent years. Parallel to organizational domains, empirical attention is also being paid across the academics as well. The present study attempted to examine the much important role and relationship between academic press and student engagement and to what length academic psychological capital can potentially mediate in the relationship. A total of 371 undergraduate students were sampled for the present study from a private university in Bahrain. Through using structural equation modelling using Smart PLS 3 the results of the mediated model reported significant relationship between academic press and academic psychological capital (i-e academic efficacy and resilience). Though the study did not find any support for academic press and student engagement relationship, nonetheless, found a significant mediation of academic psychological capital in the relationship between academic press and student engagement. The findings have suggested that students’ perceptions about how much their teacher presses them to do thoughtful work, facilitation in explaining and motivating for full efforts can act as a key ingredient for nurturing students` connectivity with the studies in general and views about their own learning. Accordingly, the study has also underlined that students with positive academic press from their teachers tend to be higher in engagement due to enhanced efficacy and resilience. The present study has attempted to address a major research gap with acute empirical findings for academicians to enhance their students` wellbeing. 

scholarly journals Algorithmic and human prediction of success in human collaboration from visual features

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Martin Saveski ◽  
Edmond Awad ◽  
Iyad Rahwan ◽  
Manuel Cebrian
Keyword(s):  
Machine Learning ◽  
Visual Cues ◽  
Success Factors ◽  
Group Performance ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Adventure Game ◽  
Group Success ◽  
The Relationship ◽  
Better Than

AbstractAs groups are increasingly taking over individual experts in many tasks, it is ever more important to understand the determinants of group success. In this paper, we study the patterns of group success in Escape The Room, a physical adventure game in which a group is tasked with escaping a maze by collectively solving a series of puzzles. We investigate (1) the characteristics of successful groups, and (2) how accurately humans and machines can spot them from a group photo. The relationship between these two questions is based on the hypothesis that the characteristics of successful groups are encoded by features that can be spotted in their photo. We analyze >43K group photos (one photo per group) taken after groups have completed the game—from which all explicit performance-signaling information has been removed. First, we find that groups that are larger, older and more gender but less age diverse are significantly more likely to escape. Second, we compare humans and off-the-shelf machine learning algorithms at predicting whether a group escaped or not based on the completion photo. We find that individual guesses by humans achieve 58.3% accuracy, better than random, but worse than machines which display 71.6% accuracy. When humans are trained to guess by observing only four labeled photos, their accuracy increases to 64%. However, training humans on more labeled examples (eight or twelve) leads to a slight, but statistically insignificant improvement in accuracy (67.4%). Humans in the best training condition perform on par with two, but worse than three out of the five machine learning algorithms we evaluated. Our work illustrates the potentials and the limitations of machine learning systems in evaluating group performance and identifying success factors based on sparse visual cues.

The use of faecal nitrogen as an index for estimating the consumption of herbage by grazing animals

1963 ◽  
Vol 61 (1) ◽  
pp. 33-43 ◽  
Author(s):  
G. W. Arnold ◽  
M. L. Dudzinski
Keyword(s):  
Organic Matter ◽  
Nitrogen Concentration ◽  
Linear Equations ◽  
Slope Position ◽  
Seasonal Differences ◽  
Faecal Nitrogen ◽  
Independent Variable ◽  
Regression Relations ◽  
The Relationship ◽  
Better Than

Data from thirty-five digestibility trials with sheep in metabolism cages were used to investigate statistically the relationships between organic matter intake (I), faecal organic matter output (F), and the nitrogen concentration in faecal organic matter (N).The data fell easily into groups due to botanical or seasonal differences in the feed. These groups of data were homogeneous and provided highly significant linear equations of the forms I = bF + cFN and I = a + cFN. When compared these groups of data sometimes showed differences in slope, position or both. A quadratic expressionI = bF + cFN + dFN2was found to accommodate a majority of the data but to be less precise than I = a + cFN.A further expression incorporating N as an independent variable was also examined,I = a + cFN2 + eN.This expression, although far from being universally adequate, proved to be generally better than existing formulae. When applied to the data of Greenhalgh et. al. (1960), it substantially reduced heterogeneity between data for spring and data for summer pastures.Causes of variation in the relationship between organic-matter intake and nitrogen in faeces, and some of the hazards of extrapolation from empirical regression relations, are discussed.

scholarly journals An analysis of Italian university students’ performance through segmented regression models: gender differences in STEM courses

Genus ◽  
2021 ◽  
Vol 77 (1) ◽  
Author(s):  
Andrea Priulla ◽  
Nicoletta D’Angelo ◽  
Massimo Attanasio
Keyword(s):  
Gender Differences ◽  
Regression Models ◽  
First Year ◽  
Strongly Correlated ◽  
Segmented Regression ◽  
Freshmen Students ◽  
Female Performance ◽  
And Mathematics ◽  
The Relationship ◽  
Better Than

AbstractThis paper investigates gender differences in university performances in Science, Technology, Engineering and Mathematics (STEM) courses in Italy, proposing a novel application through the segmented regression models. The analysis concerns freshmen students enrolled at a 3-year STEM degree in Italian universities in the last decade, with a focus on the relationship between the number of university credits earned during the first year (a good predictor of the regularity of the career) and the probability of getting the bachelor degree within 4 years. Data is provided by the Italian Ministry of University and Research (MIUR). Our analysis confirms that first-year performance is strongly correlated to obtaining a degree within 4 years. Furthermore, our findings show that gender differences vary among STEM courses, in accordance with the care-oriented and technical-oriented dichotomy. Males outperform females in mathematics, physics, chemistry and computer science, while females are slightly better than males in biology. In engineering, female performance seems to follow the male stream. Finally, accounting for other important covariates regarding students, we point out the importance of high school background and students’ demographic characteristics.

Modeling CO2 Emissions of Top 5 Emitters with Combination Technique

2012 ◽  
Vol 616-618 ◽  
pp. 1143-1147
Author(s):  
Wei Sun ◽  
Jing Min Wang ◽  
Jun Jie Kang
Keyword(s):  
Forecast Error ◽  
Combination Method ◽  
Future Projection ◽  
Forecasting Accuracy ◽  
Combination Technique ◽  
Combination Forecast ◽  
Forecast Models ◽  
Model Time Series ◽  
Grey Verhulst Model ◽  
Better Than

In this paper, the performance of combination forecast methods for CO2 emissions prediction is investigated. Linear model, time series model, GM (1, 1) model and Grey Verhulst model are selected in study as the separate models. And, four kinds of combination forecast models, i.e. the equivalent weight (EW) combination method, variance-covariance (VACO) combination method, regression combination (R) method, and discounted mean square forecast error (MSFE) method are chosen to employ for top 5 CO2 emitters. The forecasting accuracy is compared between these combination models and single models. This research suggests that the combination forecasts are almost certain to outperform the worst individual forecasts and maybe even better than most individual ones. Furthermore the combination forecasts can avoid the risk of model choosing in future projection. For CO2 emissions forecast with many uncertain factors in the future, combining the single forecast would be safer in such forecasting situations.

Birth Order and Perceptual Motor Performance

1977 ◽  
Vol 45 (3_suppl) ◽  
pp. 1076-1078 ◽  
Author(s):  
John E. Bassett ◽  
Edward B. Blanchard ◽  
William F. Gayton ◽  
Kenneth L. Ozmon
Keyword(s):  
Birth Order ◽  
Motor Coordination ◽  
First Graders ◽  
Perceptual Performance ◽  
Developmental Test ◽  
Perceptual Motor Performance ◽  
Visual Motor ◽  
The Relationship ◽  
Secondary Finding ◽  
Better Than

To examine the relationship between performance on the Frostig Developmental Test of Visual Perception and birth order, 578 first-graders were tested. Later-born children performed significantly better than did firstborns on specific subtests of the Frostig (Visual-motor Coordination and Figure-ground Perception). There was a significant interaction on Perceptual Constancy which indicated that later-born males performed significantly better than did firstborn males. A secondary finding was a r of .547, a stronger relationship between intelligence level and global perceptual performance than previously reported.

CS Intensity, Amobarbital Sodium and the Conditioned Avoidance Response

1966 ◽  
Vol 18 (2) ◽  
pp. 645-646 ◽  
Author(s):  
Barbara J. Powell ◽  
M. E. Ogle ◽  
L. K. Martin ◽  
D. K. Kamano
Keyword(s):  
Avoidance Response ◽  
Avoidance Performance ◽  
Conditioned Avoidance ◽  
Conditioned Avoidance Response ◽  
Drug Condition ◽  
Marked Decline ◽  
Amobarbital Sodium ◽  
The Relationship ◽  
Better Than

In studying the relationship between level of CS intensity (light) and drug condition (amobarbital sodium) in the acquisition of the conditioned avoidance response of the white rat in a jump-box task, data showed that both variables influenced avoidance performance. Although the over-all performance of drugged Ss was better than that of those given a placebo, primary differences occurred at 50,000 and 800,000 peak candles of CS intensity; performance of Ss under placebo showed a marked decline at 800,000 peak candles.

Knowledge Management and Continuous Improvement in a Private University from Lima, Peru [Gestión del Conocimiento y Mejora Continua en una Universidad Privada de Lima, Perú]

2021 ◽  
Vol 4 (2) ◽  
pp. 38-50
Author(s):  
Victoria Ysabel Bringas Rios
Keyword(s):  
Knowledge Management ◽  
Continuous Improvement ◽  
Significant Relationship ◽  
Success Factors ◽  
Private University ◽  
Cross Sectional ◽  
Leading Role ◽  
Statistical Program ◽  
Level Of Significance ◽  
The Relationship

Knowledge management and continuous improvement are key success factors that are applied in organizations independently; However, there is a significant relationship between the two, therefore organizations that seek to be leaders in their sector must analyze them together. Considering that universities have a leading role and must transcend the expectations of our society, I have considered it pertinent to carry out this article whose purpose is to establish the relationship between Knowledge Management and Continuous Improvement in a Private University from Lima, Peru. It has a quantitative approach because statistical analysis was used to test what was established in the hypotheses. The design is non-experimental, cross-sectional, since information is presented as it occurs in reality and in a given time, it is transectional, correlational, because it measures and evaluates the relationship between the variables. The sample is made up of 45 individuals between heads of areas and school coordinators, to whom a questionnaire with 32 questions was applied, whose data were processed in the statistical program SPSS version 25. Finally, the significant relationship between management of the knowledge and continuous improvement, obtaining a Spearman Rho, 0.730, at the 1% level of significance. Likewise, the findings affirm that the phases of creating, storing, applying and transferring knowledge also have a significant relationship with continuous improvement.

Sign in / Sign up

Export Citation Format

Share Document