The 'schoolification' of early childhood education and care programs, seen as readying children for formalised schooling, has had an impact on the education of younger and younger age groups. While the focus of past research has mainly focused on 4-5-year-old children, this study shifts the focus to 2-3-year-old children and the literacy focus of…

The use of metacognitive prompting to support self-regulated learning is a well-established area of research in education. Despite receiving considerable attention, the precise mechanism of prompting and its effects on the learning process remain unclear, especially in the context of multimedia learning. This study employed a controlled laboratory…

Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…

Errors are inevitable in most learning contexts, but under the right conditions, they can be beneficial for learning. Prior research indicates that generating and learning from errors can promote retention of knowledge, higher-level learning, and self-regulation. The present review proposes an integrated theoretical model to explain two major…

Play-based learning is an approach used in early childhood education that is well supported by research on its varieties and effectiveness for young children's learning. Play-based learning meets the developmental needs of young children, but new research presented in this paper suggests that teenagers learn through play too. The experience of 25…

For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…

Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

For successful learning, students need to evaluate their learning status relative to their learning goals and regulate their study in response to such monitoring. The present study investigated whether making metacognitive judgments on previously studied text would enhance the learning of that studied (backward effect) and newly studied text…

Involuntary musical imagery (INMI; more commonly known as "earworms" or having a song "stuck in your head") is a common musical phenomenon and one of the most salient examples of spontaneous cognition. Despite the ubiquitous nature of INMI in the general population, functional roles of INMI remain to be fully established and…

Representations are key to mathematical activities and meaning-making processes as they are part of modeling, connecting, communicating, and understanding mathematical ideas and concepts. The current study sought to examine a group of novice algebra learners' interactions with different representations from an onto-semiotic approach. A case study…

An imagineering learning model using advance organizers with the internet of things was developed to promote creative innovation for learners in the 21st century. It is an innovation initiated by integrating classroom learning and technology that connects with the internet of things. The objectives of this research were (1) to study and synthesize…

A name for the field of instructional technology has long been debated. Terms such as learning design, educational technology, instructional systems design and learning systems have been used to describe the field over the past 100 years. With an exploration of the history of the field, this article rebrands the field as Knowledge Systems Design…

Current learning platforms generally have problems such as fragmented knowledge, redundant information, and chaotic learning routes, which cannot meet learners' autonomous learning requirements. This paper designs a learning path recommendation system based on knowledge graphs by using the characteristics of knowledge graphs to structurally…

On the one hand, research on religious education is done according to a transnational scientific paradigm, on the other hand, it is performed within particular institutional contexts which vary from nation to nation.This raises the question of how institutional context affect research on religious education. The paper addresses this question on…

Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students' low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification…