According to cognitive load theory, learning can only be successful when instructional materials and procedures are designed in accordance with human cognitive architecture. In this context, one of the biggest challenges is the accurate measurement of the different cognitive load types as these are associated with various activities during…

We develop and validate a self-report measure of intrinsic and extrinsic cognitive load suitable for measuring the constructs in a variety of learning contexts. Data were collected from three independent samples of college students in the U.S. (N[subscript total]= 513; M[subscript age]= 21.13 years). Kane's (2013) framework was used to validate…

The cognitive load imposed by instruction is an important consideration for instructional designers. Theoretical models have traditionally divided total cognitive load into intrinsic, extrinsic, and germane load. The 10-item Cognitive Load Inventory (CLI-10) is designed to measure these three types of cognitive load. It is typically administered…

The rapid digital transformation of vocational education and training (VET) has underscored the need to adapt traditional assessment methods to digital formats. However, when transitioning to digital modes, it is crucial to consider factors beyond mere technical implementation, particularly the potential impact of altered presentation formats on…

Reasoning for complexity is a fundamental competency in these complex times for solutions to social problems and decision-making. The purpose of this paper is to demonstrate the validity and reliability of the eComplexity instrument by presenting its psychometric properties. The instrument consists of a Likert-type scale questionnaire designed to…

Since the development of the technological pedagogical content knowledge (TPACK) framework, researchers have been developing a variety of instruments to measure the TPACK of pre-service and in-service teachers. The task of developing an efficient, reliable, and valid instrument is difficult. Even validated instruments require guidance for…

For P-12 teachers to effectively learn a technology, they must manage the cognitive load inherent to this learning task. However, technology adoption research has not investigated effects of cognitive load on teachers' experiences with learning technology or their technology adoption decisions. Hence, an instrument measuring cognitive load…

e-Textbooks and e-learning technologies have become ubiquitous in college and university courses as faculty seek out ways to provide more engaging, flexible and customizable learning opportunities for students. However, the same technologies that support learning can serve as a source of frustration. Research on frustration with technology is…

In the current study, we aimed to develop a reliable and valid scale to address individual cognitive load types. Existing scale development studies involved limited number of items without adequate convergent, discriminant and criterion validity checks. Through a multistep correlational study, we proposed a three-factor scale with 13 items to…

Research indicates that learning from erroneous examples (EE) is superior to correct examples because errors may provide students with a stimulus to spontaneously produce more self-explanations, leading to better learning outcomes. However, because most studies were conducted in individual settings, it remains an open question whether the…

Recent research points to the need for a specific research focus on language task engagement because task engagement can lead to increased motivation, persistence, satisfaction, and learner achievement (Early, Rogge, & Deci, 2014; Henri, Halverson, & Graham, 2015; Reeve & Lee, 2014); a major gap in the research in this area is the lack…

This study was conducted to create a reliable and valid low- to medium-inference, multidimensional measure of instructor clarity from seminal work across several academic fields. Five hundred and sixty six students responded to an initial pool of 87 items and were split into two samples to investigate the factor structure of the new measurement…

When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the…

Based on the cognitive-affective theory, the present study designed a science inquiry learning model, "predict-observe-explain" (POE), and implemented it in an app called "WhyWhy" to examine the effectiveness of students' science inquiry learning practice. To understand how POE can affect the cognitive-affective learning…

The author investigated the relationship between aspects of student motivation and performance on mathematical tasks varying in cognitive demand relevant to meeting the expectations of the Common Core State Standards for Mathematics (CCSS-M). A sample of 479 primarily Latino middle school students completed established survey measures of…