Generative AIs have been embraced by learners wishing to offload (parts of) complex tasks. However, recent research suggests that AI users are at risk of failing to correctly monitor the extent of their own contribution when being assisted by an AI. This difficulty in keeping track of the division of labor has been shown to result in placebo and…

Few practical guidelines exist for conducting generic qualitative research (GQR) with rigor and intentional purpose. This article offers varied purposes of GQR (practicality and creating change, flexible blending of methods, and innovation) and pragmatic guidance for counselor educators and doctoral students conceptualizing, designing, and…

This article presents a theoretical review of and methodological guidelines for the study of two key notions in second language acquisition research, complexity and difficulty. The term "complexity" has gained considerable currency over the past decades and has taken on a wide range of meanings. We argue for a more restricted…

Leadership knowledge is viewed as an essential aspect of overall leadership learning, yet questions abound as to who decides what forms of knowledge are recognized as legitimate. This article reviews existing frames of leadership knowledge along with prior attempts to codify leadership knowledge. We then examine the function of leadership…

Translating legal culture-bound terms is one of the difficulties facing any legal translator due to asymmetries between national legal systems. To train trainees to deal with these terms, strategic and intercultural competences must be developed. This article focuses on how to pedagogically address the varying degrees of incongruity that may arise…

Second language (L2) writing researchers have enthusiastically adopted task complexity frameworks in their examination of the effects of complex task features on L2 written performance. However, such research often overlooks the effect(s) of such features on general L2 development as well as L2 writing development. Drawing from Manch?n and…

This reflective piece tells the story of how I started out doing Conversation Analysis (CA) and have been transitioning into doing mixed methods for some years now. My basic argument is that language learning talk is too complex a phenomenon to analyse using a single methodology. Specifically, it is extremely difficult to isolate from the…

Educational researchers have been confronted with a multitude of definitions of task complexity and a lack of consensus on how to measure it. Using a cognitive load theory-based perspective, we argue that the task complexity that learners experience is based on element interactivity. Element interactivity can be determined by simultaneously…

In recent years, first responders have faced increasing challenges in their operations, highlighting a growing need for specialized and comprehensive training. In particular, the firefighting incident commanders (ICs) are playing a pivotal role, providing directions to field operators and making critical decisions in emergency situations. Over…

Student mental health in higher education has been worsening for some time, even prior to the pandemic, showing up in various ways that learners struggle in online learning and other modalities. More recent research on health, sleep, and chronic illness as aspects of online learner mental fatigue and academic performance suggests that online…

Explicit instruction is a teaching strategy that aims to avoid cognitive overload experienced by students which aims to improve academic performance. Previous research has mentioned working memory as a cognitive capacity that processes information and cognitive control and supports the success of explicit teaching on student academic performance.…

This review is aimed at synthesizing current findings concerning technology-based cognitive offloading and the associated effects on learning and memory. While cognitive externalization (i.e., using the environment to outsource mental computation) is a highly useful technique in various problem-solving tasks, a growing body of research suggests…

Complexity and difficulty are two closely related but distinct concepts. These concepts are important in the development of intelligent learning systems, e.g., for sequencing items, student modeling, or content management. We show how to use complexity and difficulty measures in the development of learning systems and provide guidance on how to…

This paper pushes beyond current debates over what is being called the science of reading to articulate a multidimensional complex conception of what is entailed in reading comprehension. Reading comprehension entails not only cognitive processes, but equally important is how issues of identity along multiple dimensions, perceptions of tasks and…

Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…