Faced the vast amount of information, choosing the appropriate materials is a prerequisite for effective self-directed learning. The recommendation algorithm is a kind of intelligent technology that can accurately locate the required information which the users care about most. However, many recommendation techniques experience can not be trained…

Teaching quantum physics (QP) to high school (HS) students is gaining momentum, necessitating the exploration of various effective methods. Specifically, the research on quantitative teaching methods is still in its early stages. Understanding the power of Dirac notation (DN) in teaching is crucial for grasping the complexities of QP, as it…

How to make own advantages when submitting applications and increase the probability of getting a job early? The target of this study is to analyse the determinants of unemployment duration and the probability of seeking a job after graduation. It is carried out by using survival analysis along with the Cox model and Kaplan-Meier estimator and…

Background: The closures resulting from the COVID-19 pandemic significantly impacted teacher licensure pathways. During that time, prospective teachers had less access to student teaching experiences, fewer program and course completion opportunities, and a reduced ability to prepare for and pass state licensing examinations. In response, a State…

Non-compliance is a challenge for practitioners serving children with and without disabilities. Many interventions have been developed to increase compliance. High-probability request sequences (HPRS), an antecedent-based intervention that is based on behavioral momentum theory, is one way to increase compliant behavior. HPRS includes the…

We study how colleges shape their students' voting habits by linking millions of SAT takers to their college-enrollment and voting histories. To begin, we show that the fraction of students from a particular college who vote varies systematically by the college's attributes (e.g. increasing with selectivity) but also that seemingly similar…

What happens when college students are not able to enroll in the courses they want? We use a natural experiment at Purdue University in which first-year students are conditionally randomly assigned to oversubscribed courses. Compared to students who are assigned a requested course, those who are shut out are 40% less likely to ever take the…

Vocational Education and Training (VET) programs are prevalent in a European context, but often struggle with drop-out rates that exceed those of general upper-secondary education. Using Danish administrative data, we study the effects of reform-induced reductions in shares of VET students who did not pass their lower secondary final exams on…

Previous research has shown that early numerical abilities are predictive of later mathematical achievement. In line with these previous studies, we investigated whether early numerical abilities are also associated with later probabilistic reasoning abilities. In the present study, we examined children's numerical abilities in the second grade of…

This thesis studies four independent resource allocation problems with different assumptions on information available to the central planner, and strategic considerations of the agents present in the system. We start off with an online, non-strategic agents setting in Chapter 1, where we study the dynamic pricing and learning problem under the…

The purpose of this study was to compare and contrast frameworks for evaluating methodological rigor in single case research. Specifically, research on high-probability requests to increase compliance in young children was evaluated. Ten studies were identified and were coded using 4 frameworks. These frameworks were the Council for Exceptional…

The study examines the association of social background, academic-related and institution-related factors with indicators of higher education dropout risk, i.e. students' perceived probability of graduating and their consideration of leaving their studies. Bivariate analysis and multilevel logistic models were used to analyse data from 1533…

The association of autism spectrum disorder (ASD) with self-reported maternal cannabis use from 3 months pre-conception to delivery ("peri-pregnancy") was assessed in children aged 30-68 months, born 2003 to 2011. Children with ASD (N = 1428) were compared to children with other developmental delays/disorders (DD, N = 1198) and…

People's expectations help them make judgments about the world. In the area of spatial memory, the interaction of existing knowledge with incoming information is best illustrated in the category effect, a bias in positioning a target toward the prototypical location of its region (Huttenlocher et al., 1991). According to Bayesian principles, these…

Student perpetrated violence against teachers is widespread, yet few studies differentiate teacher experiences of violence by school level (i.e., elementary, middle, and high school). This study, based upon 2,558 pre-kindergarten through 12th grade teacher survey responses, revealed differences in types of student aggression against teachers by…