Purpose: In spite of the popularity of learning analytics (LA) in higher education institutions (HEIs), the success rate and value gained through LA projects is still little and unclear. The existing research on LA focusses more on tactical capabilities rather than its effect on organizational value. The key questions are what are the expected…

Background: Motivational factors are one active area of research that aims to increase the inclusion of women in physics. One of these factors that has only recently gained traction in physics is intelligence mindset (i.e., the belief that intelligence is either innate and unchangeable or can be developed). We studied 781 students in…

High levels of math anxiety combined with low levels of mindfulness may contribute to disproportionate failure rates in introductory college mathematics classes. Although research has confirmed benefits of mindfulness in reducing anxiety and stress, findings have been less clear regarding links between mindfulness and achievement outcomes. The…

This study focuses on the role of numerous cognitive skills such as phonological awareness (PA), rapid automatized naming (RAN), visual and selective attention, auditory skills, and implicit learning in developmental dyslexia. We examined the (co)existence of cognitive deficits in dyslexia and assessed cognitive skills' predictive value for…

This study explored predictors of service use among 174 transition-age youth (age 16-30) with an Autism Spectrum Disorder using Andersen's (J Health Soc Behav 36(1):1-10, 1995) healthcare utilization model. Family caregivers were interviewed about past 6-month use of 15 services. On average, youth used 6.1 and needed 3.2 additional services.…

Predictive coding theories of autism suggest that symptoms could result from an atypical learning of expectations. We assessed whether adults with autism could learn expectations in an uncertain context. Twenty-nine neurotypicals and 25 autistic adults participated in an associative learning task. After hearing a tone, participants had to predict…

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)…