The purpose of this study is to provide reliable evidence of the observable correlates of the Aha! moment and what this means for moving from surface to deep thinking. The study analyses facial expressions and body language from video recordings of students solving problems, followed by interviews, focus groups, and surveys. The problem-solving…

As a prominent aspect of modeling learners in the education domain, knowledge tracing attempts to model learner's cognitive process, and it has been studied for nearly 30 years. Driven by the rapid advancements in deep learning techniques, deep neural networks have been recently adopted for knowledge tracing and have exhibited unique advantages…

This article provides a conceptual review of the principles of input spacing as they might relate specifically to oral task repetition research and presents some of the common methodological considerations from the broader input spacing literature. The specific considerations discussed include the interaction between intersession intervals and…

Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…

Against the backdrop of the expansion of the literacy curriculum to include multiliteracies in education systems around the world, we discuss how a design-based research approach can contribute to practical outcomes in building the participating teachers' confidence and competence in their pedagogical practices, developing scalable lesson…

The Institute for Citizens & Scholars brings together diverse people, across traditional divides, to build a constitutional democracy that works for all. In 2019, Citizens & Scholars released the whitepaper "From Civic Education to a Civic Learning Ecosystem: A Landscape Analysis and Case for Collaboration," which noted a…

This paper reports on an exploratory study about probabilistic intuition in learning mathematics for decision-making. The analysis was carried out on a group of high school students in relation to their probabilistic intuition in problem-solving, after performing playful learning activities on a simulation platform specifically designed for this…

Measurement uncertainty is an important topic in the undergraduate laboratory curriculum. Previous research on student thinking about experimental measurement uncertainty has focused primarily on introductory-level students' procedural reasoning about data collection and interpretation. In this paper, we extended this prior work to study…

In order to learn more about student understanding of the structure of proofs, we generated a novel genre of tasks called "Proof Without Claim" (PWC). Our work can be viewed as an extension of Selden and Selden's (1995) construct of "proof framework"; while Selden and Selden discuss how the structure of a proof can be discerned…

Peer Evaluation Systems (PESs) allow members of student teams to provide one another with computer-mediated feedback in the form of qualitative, open-ended comments. The current research leverages unsupervised Natural Language Processing (NLP), namely Biterm Topic Modeling (BTM) and sentiment analysis, to uncover latent topics and degree of…

How can social media help transform a student's learning experience and promote active engagement with learning content and peers? "Social Media for Active Learning" helps instructors achieve this goal. Many people use social media in their everyday lives, seeking information and informal learning opportunities via their online networks.…

Widely prevalent in a variety of educational contexts around the world, rote learning practices entail repetition techniques to acquire new knowledge. These practices have long been critiqued because of the emphasis on recall rather than deep understanding. Less attention has been directed, however, at the literacy ideologies underpinning such…

In this article, we explore digital storytelling as a community-engaged pedagogy to create students' immigration stories in Maryland as part of the project "Intercultural Tales: Learning with Maryland's Immigrant Communities." Stories highlight students' lived experiences of immigration, language, and identity. By envisioning themselves…

Economic education is an essential prerequisite for coping with economic-characterised problems in various life spheres, especially with socio-economic problems in the societal sphere. Making informed and reasoned decisions on socio-economic problems requires domain-specific content knowledge and domain-specific argumentation skills. Economic…

Lexical inferencing is considered a listening strategy that is commonly employed by advanced EFL (English as a Foreign Language) listeners and a factor that contributes to successful listening comprehension. However, investigations of the factors that influence inferencing success in listening as well as how much each factor contributes to success…