A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…

Vocabulary knowledge plays a critical role in supporting text comprehension and broader learning across the school day. While school offers opportunities to build vocabulary knowledge, studies have shown that very little time is devoted to vocabulary instruction at the elementary level. This may be, in part, because educators commonly report being…

Blended learning, integrating online and in-person components, has been increasingly adopted in higher education to enhance students' learning experience and outcomes. While the advantages of blended learning are well-evidenced, research has primarily focused on the online pre-learning component, neglecting the significance of in-class activities.…

Concepts contain rich structures that support flexible semantic cognition. These structures can be characterized by patterns of feature covariation: Certain features tend to cluster in the same items (e.g., "feathers," "wings," "can fly"). Existing computational models demonstrate how this kind of structure can be…

Research in mathematics education constantly oscillates between theoretical or 'Is' questions and practical or 'Ought' questions: Researchers are not only pursuing theoretical questions by investigating what those involved in the teaching and learning of mathematics do, but they are also working on practical recommendations for what they ought to…

This article engages posthuman theory to propose a rethinking of the theory and practice of relational pedagogies within higher education (HE). There has been renewed emphasis within HE discourses on the significance of relationships within learning and teaching as a means to offer a counter-view to an uncaring marketised HE system. This article…

This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…

Due to the development of deep learning technology, its application in education has received increasing attention from researchers. Intelligent agents based on deep learning technology can perform higher order intellectual tasks than ever. However, the high deployment cost of deep learning models has hindered their widespread application in…

When faced with the need to transform an object, idea, or situation, people have a tendency to favor adding new components rather than removing existing ones. This is called the "additive bias." Previous research, along with historical and anecdotal examples, shows that this bias may significantly reduce problem-solving abilities and…

Retrospective confidence refers to the phenomenological experience of the level of certainty that retrieved information is, in fact, correct. Retrospective confidence judgments are examined across a range of sub-disciplines in psychology from perception to memory research, and in education and legal applications. This paper focuses on…

During language acquisition, children are tasked with the challenge of determining which words can appear in which syntactic constructions. This has been long recognized as a learnability paradox. On one hand, there are generalizations that children must learn. On the other hand, language is known for its arbitrariness, so children also need to…

The Mastery Performance-Goal Orientation Test (MP-GOT) assesses performance- and mastery-orientation along a single bipolar dimension. In Study 1 (n = 198) we explored its psychometric properties and determined whether its results were related to learning. In addition, we employed Latent Profile Analysis to explore goal orientation profiles. In…

While statistical learning is often studied individually, its collective representation through self-other integration remains unclear. This study examines dynamic self-other integration and its multi-brain mechanism using simultaneous recordings from dyads. Participants (N = 112) each repeatedly responded to half of a fixed stimulus sequence with…

Retrieval practice has been shown to be an effective and efficient way to enhance learning and which has led researchers to call for retrieval practice to be part of teachers' regular repertoire of activities within a classroom. Recent policy changes in England have seen retrieval practice being encouraged and emphasized as a strategy that…

The integration of Internet technology and the collaborative development of smart classrooms is an essential step for colleges and universities to advance English instruction reform. This study utilized data mining (DM) technology to analyze the learning process in college English smart classrooms. The results indicate that the DM algorithm used…