Technology and data analysis have evolved into a resource-rich tool for collecting, researching and comparing student achievement levels in the classroom. There are sufficient resources to discover student success through data analysis by routinely collecting extensive data on student behaviour and curriculum structure. Educational Data Mining…

Starting with the hypothesis that analogical reasoning consists of a search of semantic space, we used eye-tracking to study the time course of information integration in adults in various formats of analogies. The two main questions we asked were whether adults would follow the same search strategies for different types of analogical problems and…

Purpose: Kahoot! is a free e-learning tool that employs game-based learning which is often considered a best practice in education. The aim of the current study is to assess the effectiveness of Kahoot! in a child development course. Design/methodology/approach: Sections of child development were randomized in terms of review format prior to exams…

The purpose of this study was to determine if there exist any predictive relationships between faculty demographic, academic, and occupational factors, and faculty participation in professional development programs. Despite the established benefits of faculty participating in professional development programs and its corresponding impact on…

Studies on framing demonstrate that the way ideas are presented influences emotions and decision-making. Many bullying interventions involve competing frames, with some discussing bullying in terms of negative effects and others in terms of resiliency. Gender is closely related to frames about bullying, as culturally communicated expectations…

With growing attention to youth's efforts to address sexual and gender diversity issues in Gender-Sexuality Alliances (GSAs), there remains limited research on adult advisors. Do advisor characteristics predict their youth members' advocacy? Among 58 advisors of 38 GSAs, we considered whether advisor attributes predicted greater advocacy by youth…

With growing attention to youth's efforts to address sexual and gender diversity issues in gender-sexuality alliances (GSAs), there remains limited research on adult advisors. Do advisor characteristics predict their youth members' advocacy? Among 58 advisors of 38 GSAs, we considered whether advisor attributes predicted greater advocacy by youth…

We design a commitment contract for college students, "Study More Tomorrow," and conduct a randomized control trial testing a model of its demand. The contract commits students to attend peer tutoring if their midterm grade falls below a pre-specified threshold. The contract carries a financial penalty for noncompliance, in contrast to…

Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…

We investigated the relationship between category learning and domain-general object recognition ability (o). We assessed this relationship in a radiological context, using a category learning test in which participants judged whether white blood cells were cancerous. In study 1, Bayesian evidence negated a relationship between o and category…

This study investigated the predictive validity of school-subject-specific self-concepts of ability, intrinsic task values, and cost (operationalized as task effort) for motivation regarding unclassified novel learning content--a fictional project management course--as a function of perceived similarity between school subject and novel learning…

Laypeople's estimates of carbon footprints have repeatedly shown to be deficient, which may hinder targeted behavior change to reduce CO2 emissions. In an online study (N = 127), a vast underestimation of carbon footprints for 60 food items was observed in an on average highly educated convenience sample, confirming a lack of carbon footprints…

Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…

Placement and support of students in first-year mathematics courses at institutions of higher education has long been a consequential issue. In a bid to address it, many systems and institutions of higher learning have elected to implement a co-remediation framework in place of pre-remediation, due in large part to the prohibitive cost of the…

Farmer education and learning have traditionally focused on developing practical farming skills and techniques. Meanwhile, studies on farmer learning and education have not adequately considered its social cognitive dimension. Hence, this study empirically examines farmers' perceptions of and interest in distance learning, involving 1284…