In a world overflowing with information, how can we adapt our learning methods to thrive? Dave Cormier, a pioneering figure in digital education, presents a thought-provoking manifesto in "Learning in a Time of Abundance." A leading voice in digital learning, Cormier offers a fresh perspective on how we can face the uncertainty of a…

Modern astronomy as a field of inquiry may be shaped by what we consider the "scientific" ways of knowing. However, the history of astronomy as a human endeavour dates back millennia before the "modern" notions of "science". This long history means that astronomy is, at its core, built on a rich cultural diversity and…

The core task of reading is to look at letters and identify their sounds and meaning. In English, the spelling system is "quasiregular," meaning it includes many reliable patterns (some so reliable they could be called "rules") but also many inconsistent ones (the sound of "EA" in "heat" vs.…

Despite growing interest in spaced retrieval methods, a research gap has been discovered, with insufficient data to support best practises in year-one science. After analysing five systematic action cycles, four interrelated themes emerged: dual coding, cognitive load, peer communication, and feedback-driven metacognition. While literature…

We use a continuous improvement model to evaluate an information design assignment by analyzing 120 student drafts and finals alongside instructor feedback. Using data from across sections (N = 118), we illustrate a process focused on improving student learning that other technical and professional communication program administrators and faculty…

This study investigated the effects of presenting domain information (basic information about the domain) either together with or instead of offering exploratory practice (an exploratory opportunity in a simulation-based representation of the learning domain) prior to inquiry learning for facilitating students' hypothesis generation and subsequent…

Humans excel at detecting patterns in information, abstracting rules, and making inferences. Underlying these skills is relational reasoning: the cognitive ability to identify and map abstract, generalizable relations between pieces of information. Though this powerful ability supports higher-order cognition, it can also be a processing bottleneck…

Lifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology…

While the concept of big ideas has been widely promoted in different subject areas such as history and STEM, its pedagogical power has received little attention in second language education. In view of this gap, this paper seeks to conceptualize and practicalize this notion by addressing two fundamental questions regarding the "what" and…

Procedural learning and automatization have widely been studied in behavioral psychology and typically involves a rapid improvement, followed by a plateau in performance throughout repeated training. More recently, brain imaging studies have implicated frontal-striatal brain circuits in skill learning. However, it is largely unknown whether…

Successful computer-based assessments for learning greatly rely on an effective learner modeling approach to analyze learner data and evaluate learner behaviors. In addition to explicit learning performance (i.e., product data), the process data logged by computer-based assessments provide a treasure trove of information about how learners solve…

This anthology discusses the necessity of an expanded notion of lifelong learning. Expanded lifelong learning means providing consistent and inter-connected preconditions for learning in all life contexts, both individually and collectively. Expanding the concept of lifelong learning means to provide conducive preconditions for learning,…

Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…

Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational data to enhance teaching and learning. However, as educational data increases, distilling meaningful insights presents challenges, particularly concerning individual learner differences. This work introduces a…

Successful recognition is generally thought to be based on both recollection and familiarity of studied information. Recent studies found that making judgments of learning (JOLs) can reactively facilitate recognition performance, a form of reactivity effect on memory. The current study aimed to explore the roles of recollection and familiarity in…