Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…

The goal of this study is to identify the relationship between K-12 teachers' self-efficacy beliefs, classroom goal structure and use of instructional strategies. The study also aims to determine if there is variance in the relationship between these constructs for primary versus secondary school teachers. Data collection involved completion of a…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students' online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression…

Online learning is one of the fastest growing trends in education. A practical problem faced by instructional designers and online instructors is how to design an interactive learning activity that benefits content mastery without adding technological barriers. The online discussion forum provides quick solutions because it is usually ready for…

This study investigates the impact of students' motivation and personality traits on their academic performance in online and blended learning environments. It was conducted with students attending a mandatory introductory information technology course given in a university in Turkey. The Big Five Inventory and Motivated Strategies for Learning…

Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing attention. Unfortunately, monitoring these behaviors in real-time has…

The number of courses offered online and the level of students enrolled in online courses has dramatically increased over the last several years. The National Education Center for Education Statistics reports that during the 2006-2007 school term, 97% of public two-year institutions across the nation offered college-level distance learning…

Students' motivation has been identified as a critical factor for meaningful engagement and positive academic achievement in various educational settings. In particular, self-regulation strategies have been identified as important skills in online learning environments. However, applying self-regulation strategies, such as goal setting,…

A path model was used to test the unique and interactive effects of cognitive and motivational variables when learning in a supportive online learning system, Collaborative Inquiry System (CIS). In this student-centered learning environment, students interact with computer simulations and are assisted by online scaffolds intended to help them…

Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online…

The purpose of this study is to determine online self-regulated learning levels of students by adapting "Online Self-Regulated Learning Scale" designed by Barnard and his colleagues into Turkish. Present study, irrespective of being a scale analysis, is at the same time a qualitative research. It is executed via scan model. Study group…

Applying three mathematical modeling techniques, this study proposes and tests the fit of an academic performance model, and then estimates the relative importance of four performance predictors: academic ability, performance goal orientation, educational technology use, and social network density. Drawing on social network theory, findings from…

Rapid increase in information sources in different formats, developments in technology and need for lifelong learning have drawn increased attention to needs for information literacy. Although information literacy is significant for students of all educational levels, it has become even more significant for e-learners. Therefore, this study…

Starting from Perkins' (1985) framework, this study addresses tool use in a computer-based learning environment. In line with Perkins, first the effects of tool use on performance were investigated to gain insight into the functionality of the tools. Next, the influence of advice was studied to identify whether this advice could make students more…