Self-regulated learning depends on task difficulty and on learners' resources and cognitive load, as described by an inverted U-shaped relationship in Seufert's (2018) model: for easy tasks, resources are high and load is low, so there is no need to regulate, whereas for difficult tasks, load is too high and resources are too low to regulate. Only…

This paper explores the different epistemologies that define the Professional Doctorate, paying close attention to how Postgraduate Researchers (PGRs) doing a Professional Doctorate reconcile academic and professional knowledge. Through a narrative exploration of the literature published since the first UK Professional Doctorates were awarded in…

This study uses a logistic regression model to analyze survey data (n = 341) and predict factors influencing online course success for underserved and academically at-risk undergraduate students at a small, broad access, four-year, public Midwestern university. Three blocks of predictor variables, demographic (first generation, low income,…

Families and other caregivers play a major role in children's learning and success in school. Psychologists have learned a great deal about how families can help their children learn and thrive in the classroom. Through conversations with caregivers and extensive research, psychologists have developed ideas about how children learn, what helps…

The anthropomorphic characteristics of artificial intelligence (AI) can provide a positive environment for self-regulated learning (SRL). The factors affecting adolescents' SRL through AI technologies remain unclear. Limited AI and disciplinary knowledge may affect the students' motivations, as explained by self-determination theory (SDT). In this…

This study aims to determine indicators that affect students' final performance in an online learning environment using predictive learning analytics in an ICT course and Turkey context. The study takes place within a large state university in an online computer literacy course (14 weeks in one semester) delivered to freshmen students (n = 1209).…

This study investigates the impact of Social-Emotional Learning (SEL) on the mental health and well-being of students at Henan University. Amid China's exam-oriented educational landscape, students often face significant psychological challenges due to academic pressure and limited emotional support. This research aims to (1) examine demographic…

We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…

Simulation software has been integrated into education delivery process in order to provide an effective learning environment for students such as FlexSim and Arena. This study investigated Hong Kong engineering students' help-seeking perception and attitudes towards learning simulation software at their university education institution. Students…

The chapter reports on a study that explored the affordances and challenges of the flipped classroom model for self-regulated learning, involving the implementation of a four-skill integration approach and the use of various digital tools. Twenty-two intermediate Spanish language students from a large public university in the Northeast of the…

This study examined prior knowledge and student engagement in student performance. Log data were used to explore the distribution of final grades (i.e., weak, good, excellent final grades) occurring in an elective undergraduate course. Previous research has established behavioral and agentic engagement factors contribute to academic achievement…

Purpose: The purpose of this study is to examine career-change student teachers' practice-based learning in teacher training, with a special focus on the support they received. Design/methodology/approach: This study is based on a qualitative content analysis of 15 group interviews, including 58 career-change student teachers and focuses on their…

Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all…

The authors describe a research-based conceptual framework of how students learn that can guide the design, implementation, and troubleshooting of teaching practice. The framework consists of nine interacting cognitive challenges that teachers need to address to enhance student learning. These challenges include student mental mindset,…

This study aims to investigate: (1) the construct validity of the "Blended Learners' Online Component Challenges" BLOCC scale; (2) the internal reliability of the scale; and (3) the differences between blended learners' online component challenges according to different socio-demographic variables for Sport Science students. The sample…