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…

We propose a novel model for learning environments to target the characteristics of digital natives and to improve informal learning practices, i.e. the exploration, discovery and self-monitoring of learning content and the reflection on learning activities. The Mobile Playful Learning Environment (MPLE) model is defined as consisting of seven…

This volume highlights unique features of L2 teachers' motivation, autonomy and career development in Far East counties (including Japan, South Korea and China), using diverse methodological research approaches incorporating both quantitative and qualitative paradigms. While much of current research focuses on students' psychology, this volume…

This research investigates a model for developing meta-cognitive tools to be used by pre-service teachers during apprenticeship (student teaching) experience to operationalise the epistemological model of Cook and Brown (2009). Meta-cognitive tools have proven to be effective for increasing performance and retention of undergraduate students.…

The use of computers for learning is often a complex issue which involves cognitive and metacognitive concerns. This gives rise to our interest in examining the intention to use technology with relation to regulation of cognition. The use of technology for learning would necessarily require learners to exercise a certain level of regulation over…

The "Assurance of Learning for Graduate Employability" framework is a quality assurance model for curriculum enhancement for graduate employability, enabling graduates to achieve "the skills, understandings and personal attributes that make [them] more likely to secure employment and be successful in their chosen occupations to the…

For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…

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 was to examine the relationship among students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified…

"Theoretical Foundations of Learning Environments" provides students, faculty, and instructional designers with a clear, concise introduction to the major pedagogical and psychological theories and their implications for the design of new learning environments for schools, universities, or corporations. Leading experts describe the most…

A general model for motivational design of instruction is described and reviewed in terms of its application to E-learning contexts. Following a description of what is meant by E-learning environments and an overview of the four category model and design process known as the ARCS model, a variety of studies are summarized. The ARCS model is based…