The initial learning experience is a critical opportunity to support conceptual understanding of abstract STEM concepts. Although hands-on activities and physical three-dimensional models are beneficial, they are seldom utilized and are replaced increasingly by digital simulations and laboratory exercises presented on touchscreen tablet computers.…

Converging evidence suggests that traditional domain-general working memory (WM) training does not have reliable far-transfer effects, but produces reliable, modest near-transfer effects on structurally similar untrained tasks. Given the critical role of WM in academic development, WM training that incorporates task-specific features may maximize…

The author has been influenced throughout his time in mathematics education by the work of Caleb Gattegno. Gattegno made extensive use of the word awareness whereas much educational literature from a psychological perspective talks about memory (for example, Justicia-Galiano, MartÌn-Puga, Linares & Pelegrina, 2017). This has, amongst other…

This study was conducted to determine the opinions of elementary teachers about the child abuse and neglect education program developed according to the quantum learning model. This study was carried out with the participation of 20 elementary teachers working in the Yozgat province of Turkey. Quantitative and qualitative research methods were…

This study is a qualitative analysis of the work of preservice special education teachers on an activity during which they had to design a game that represented the concept of working memory. The study draws from the framework of model-eliciting activities that require students to develop structural representations of concepts that can be used to…

Spatial skills are embedded in all aspects of the geosciences. The teaching and learning of spatial skills has been a challenging, but vital, endeavor. To support student learning of spatial skills in undergraduate courses, we designed scaffolds for spatially dependent content in a mid-level geoscience course using playdough to allow students to…

Within the context of complex cognitive processing and educational interventions, Woolfolk (2016) makes reference to problem solving acquisition, problem solving retention, and problem solving transfer. In each of the aforementioned types of problem solving activities, problem identification and problem representation (reflecting procedural…

Science learning requires visuospatial thinking. Accordingly, spatial ability is regarded as the key to learning science well, but its effects are sometimes not as significant as expected. To this end, this research aims to conceptualize spatial abilities and to clarify their relation to science learning based on an analysis of empirical studies.…

This paper proposes a synthesis of the science of learning into a "model" teachers can follow and apply right away in their classrooms. Recent studies in neuroscience show that that our brains appear to actively and purposefully forget most of what we learn--continually clearing out old and unneeded memories to allow us to focus on more…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

In this paper, readers are guided through the design and development of educational programs based on the 4C/ID model. This was illustrated via a practical example in Physics education, to teach the theme "Electrical circuits" to students of the 9th grade of compulsory education. In the article, the followed steps are described, from…

The declarative/procedural (DP) model posits that the learning, storage, and use of language critically depend on two learning and memory systems in the brain: declarative memory and procedural memory. Thus, on the basis of independent research on the memory systems, the model can generate specific and often novel predictions for language. Till…

This essay focuses on two sites of memory in my professional life. One is from my very early years of teaching, the second from about 10 years later. Each is centred on a moment of controversy in English curriculum in New South Wales, Australia, and each is to do with the teaching of writing and the supposed neglect of language study, including…

Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling…

Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…