Choosing a field of study (study major) is challenging for prospective students. However, little research has examined factors measured prior to enrollment to predict motivation and well-being in a specific study major. Based on literature on affective forecasting and person-environment fit, prospective students' well-being forecast could be such…

With the increasing industrial relevance of new quantum technologies, a well-educated quantum workforce becomes increasingly crucial. The foreseeable lack of workforce raises important questions. What are the expectations regarding the future relevance of second-generation quantum technologies? What are the requirements for the workforce in the…

This article aims to study the performance of machine learning models in forecasting gender based on the students' open education competency perception. Data were collected from a convenience sample of 326 students from 26 countries using the eOpen instrument. The analysis comprises 1) a study of the students' perceptions of knowledge, skills, and…

Presidential elections can be forecast using information from political and economic conditions, polls, and a statistical model of changes in public opinion over time. However, these "knowns" about how to make a good presidential election forecast come with many unknowns due to the challenges of evaluating forecast calibration and…

This case study examines the use of electronic resources in academic institutions and the difficulties in forecasting their usage. By employing time series analysis-based models, the study forecasts the utilization of e-resources from 2012 to 2021. It concludes that both Autoregressive Integrated Moving Average (ARIMA) and Error, Trend, Seasonal…

Despite policy relevance, longer-term evaluations of educational interventions are relatively rare. A common approach to this problem has been to rely on longitudinal research to determine targets for intervention by looking at the correlation between children's early skills (e.g., preschool numeracy) and medium-term outcomes (e.g., first-grade…

Election forecasting has become the centerpiece of media coverage of elections. Yet for all the attention paid to forecasting, public understanding remains low and increasingly distrustful. We can improve citizen knowledge and comprehension and increase student engagement by giving students the opportunity to develop their own election forecast.…

The article aims to develop a machine-learning algorithm that can predict student's graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics…

Predictive research on the enrollment proportion of general education and vocational education is crucial to optimizing the regional talent structure and industrial structure adjustment. The reasonable enrollment proportion of general education and vocational education also plays an important role in the adjustment of the overall employment…

This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In the first phase, university profiles are created through cluster analysis. In the second phase, the academic efficiency of these profiles is evaluated through Data Envelopment Analysis. Finally, a machine learning model is trained…

During modern general election cycles, information to forecast the electoral outcome is plentiful. So-called fundamentals like economic growth provide information early in the cycle. Trial-heat polls become informative closer to Election Day. Our model builds on (Linzer, 2013) and is implemented in Stan (Team, 2020). We improve on the estimation…

Background: A cluster-randomized trial at 30 early care and education centers (Intervention = 15, waitlist Control = 15) showed the "Lunch Is in the Bag" intervention increased parents' packing of fruits, vegetables, and whole grains in their preschool children's bag lunches (parent-child dyads = 351 Intervention, 282 Control). Purpose:…

This report provides an overview of the forecast financial health of the HEFCE-funded higher education (HE) sector in England. The analysis covers the financial forecasts for the period 2015-16 to 2018-19, based on information submitted by higher education institutions (HEIs) to HEFCE in July 2016. Financial Reporting Standard (FRS) 102 is the new…

This longitudinal, quasi-experimental field study investigated affective forecasting as a moderator of positive intergroup contact effects among adolescents. We also examined a novel mediating mechanism that underlies this effect, namely accuracy of perceived outgroup willingness for intergroup contact. Three annual waves of survey data were used…

Performance expectations presumably serve to guide sound decision making and behavior. However, expectations are complex phenomena that arise from more than just situational factors and objective probabilities. Although expectations have received extensive attention from researchers, relatively few studies have focused on expectation management…