Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…

The present study investigated the extent to which monitoring practice and timely monitoring feedback, contextualized in an online undergraduate biology course, improved students' metacognitive monitoring and learning outcomes. The intervention followed a true experimental design and randomly assigned 162 students into three conditions: a control…

Promoting a high level of student engagement has been a goal for many teachers. Opportunities to respond (OTR) offer a low-cost instructional practice that allows teachers to improve student engagement in the classroom. In this study, we explored the potential effects of a data-driven coaching model on one elementary school teacher's…

The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…

The theory of evolution is the central combing theory that brings together all the tenets of biology that bring about a solid understanding of life. It is also one of the most controversial scientific theories of all time and is widely rejected by about 40% of the general public in the United States. One of the biggest reasons for low evolution…

Identifying unfamiliar faces is surprisingly error-prone, even for experienced professionals who perform this task regularly. Previous attempts to train this ability have been largely unsuccessful, leading many to conclude that face identity processing is hard-wired and not amenable to further perceptual learning. Here, we take a novel expert…

This article describes an informal study that focused on teaching eighth graders to take a critical stance and talk back to texts. In this era of "fake news," "alternative facts," and what has been called a "post-truth" culture, it is imperative that students do not simply accept everything they read, see, or hear at…

Many elementary and middle school students are confronted by media messages constantly. They receive messages not only from family and friends, but from television and social media outlets. The media messages about current events are often politically biased, polarized in nature, and potentially inaccurate, especially on social media platforms.…

Most research focusing on the challenges that international teaching assistants (ITAs) encounter in U.S. classrooms employs a linguistic perspective. The present study furthers that research by examining other challenges unique to ITAs, through the lens of an intercultural competence framework. Through individual interviews with 15 ITAs, the study…

This study draws on Legitimation Code Theory (LCT), particularly semantic gravity waving, as a strategy for academic literacies practitioners to conceptualise how knowledge in their field might be organised and presented. Students can be guided to notice meanings related to context-dependency at the discourse and lexico-grammatical levels through…

This paper examines written language accuracy in a content and language integrated learning (CLIL) and a non-CLIL instruction context including grade and gender in the analysis. Essays written by 393 third and fourth year CLIL and non-CLIL secondary education students were evaluated by two measures of second language (L2) accuracy: error-free…

It's indisputable: disinformation, hoaxes, propaganda, and hyper-partisanship are increasingly global phenomena. Educators, librarians, policymakers, and community leaders are wondering about the implications of the changing information landscape. Anyone can publish and promote anything, and increasing political polarization is being combined with…

Self-assessment is essential to scientific literacy as stated by the National Research Council Committee on Conceptual Framework for the New K-12 Science Education Standards and has since been incorporated into the Next Generation Science Standards. However, little empirical evidence documents which instructional tools are beneficial in improving…

Advances in computer technology and artificial intelligence create opportunities for developing adaptive language learning technologies which are sensitive to individual learner characteristics. This paper focuses on one form of adaptivity in which the difficulty of learning content is dynamically adjusted to the learner's evolving language…

In this paper, we propose a computational approach to model the Zone of Proximal Development (ZPD) using predicted probabilities of correctness and engaging students in reflective dialogue. To that end, we employ a predictive model that uses a linear function of a variety of parameters, including difficulty and student knowledge and we analyze the…