The teaching of laboratory skills to undergraduate students is central to all experimental sciences. In this setting, students must understand the experimental procedures as well as the fundamental principle(s) being demonstrated, all while learning within a limited time. Other limiting factors include access to equipment and reagents, resulting…

This study examines how secondary-school students recognize and relate to artificial intelligence (AI) and the meanings they attribute to it in their everyday lives. Using a quantitative, descriptive, cross-sectional design, we explore the subjectivities of a purposive sample of 576 students from both public and private schools. The analysis…

This paper explores the integration of generative AI in the writing feedback process by trialling two highly scaffolded feedback tasks. This paper draws on recent literature to consider both the significant benefits AI integration may afford the language learner, as well as negative effects. Two tasks trialled at UNSW College: (1) an AI-enhanced…

Many aspects of noticing in the classroom are tacitly understood by experienced educators. In this case study, we pair ecological and cognitive psychology with computer-augmented analysis of video data to try to better understand some of the tacit elements of educator noticing and decision-making. The ecological model of noticing views noticing as…

Virtual Literature Circle (VLC) shows promise in developing critical reading skills among EFL students, but limited empirical research addresses the specific challenges in fostering collaborative learning, engagement, and learning outcomes. To address this gap, a sequential mixed-method study involving 25 EFL students was conducted. The findings…

Engaging students and developing interest can be challenging--and not always successful on the first couple of tries. With the help of Elon University's Information Technology team, the Office of the Registrar created a technology solution to give faculty more data about the students registered for their classes in the upcoming term. Using…

Sinusoidal functions are difficult for students: Periodicity is a new concept, transferring information from the unit circle can be confusing, and computations with multiple solutions can be overwhelming. Many struggle with both the unfamiliar "waviness" of sinusoidal graphs and their transformations (translations, dilations, and…

In teaching digital artmaking in a public high school, a regular challenge faced by students and teachers is overcoming the ways that the software and hardware systems in the lab often fail to accommodate the learning needs of all students. The perceived immutability and infallibility of digital systems and the resultant tendencies of self-blame…

This research examines small group collaboration on the Augmented Reality (AR) Sandbox, an interactive, real-time topographical simulator that provides a color layer of augmentation showing depths and height, contour lines, and hydrology vis-a-vis the terrain of sand in a box. Prior research has focused on AR Sandbox activity designs, outcome…

Computer-assisted analysis of students' written responses to questions is becoming a possibility due to developments in technology. This could make such constructed response questions more feasible for use in large classrooms where multiple choice assessments are often considered a more practical option. In this study, we use a previously…

Recently, many studies have discussed the importance of meditation and artmaking in the art classroom (Ganley, 2017; Kohler, 2012; Patterson, 2015; Phillips, 2016; Rohloff, 2008). The practice of meditation and artmaking not only promotes the physical health of the body but also develops the inner attitude of self and identity. Often artmaking and…

Students acquire knowledge as they interact with a variety of learning materials, such as video lectures, problems, and discussions. Modeling student knowledge at each point during their learning period and understanding the contribution of each learning material to student knowledge are essential for detecting students' knowledge gaps and…

Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing.…

Q methodology provides a unique mixed-methods means of examining subjectivity through the use of an activity called a Q sort in which participants must sort a list of given items within a predetermined sorting form. Although Q methodology has a long history as a research tool, its use as an instructional tool has not been extensively explored.…

This study investigated the effectiveness of visual training or verbal training on how to use a text-picture processing strategy for learning from computer-based multimedia instructional material. Sixty-nine university students were randomly assigned to the verbal training group (students received text-based instruction for a text-picture…