GPT-based models have enabled the creation of natural language chatbots that support both Inquiry-Based and Structured Learning approaches. This study offers a direct comparison of these two paradigms within a UNIX Shell scripting course by means of two chatbots: a Lesson Plan-Driven chatbot that ensures all students cover the same topics…

Generative artificial intelligence (AI) models are increasingly able to produce and combine sophisticated text, image, and audio. These advancements are challenging composers and teachers, as they work to reimagine and resist ways that composition and creative work are changing. This paper reports on one analysis in a larger study on multimodal…

Researchers have shown that behavioral skills training (BST) and in situ training are effective for teaching firearm safety skills to children. Within the safety skills literature, there is evidence that manualized interventions are effective for teaching parents and teachers to conduct BST. An approach that has not been evaluated for teaching…

The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments. While much research has focused on higher education, especially for languages like Java and Python, little attention has been given to K-12 settings, particularly for…

The study explored innovative instructional strategy: effect of computer-aided instruction on social studies students' achievement and retention outcome. The study was an experimental study. The sample of the study was 180 students. The instrument used for the study was the scholarly achievement test (SAT). Descriptive statistics were utilized to…

The importance of virtual reality in science education is constantly increasing. For this reason, this study aims to identify current trends in science education through virtual reality (VR) themes using a bibliometric analysis of the Web of Science (WoS) database. Data analysis was conducted with VOSviewer software. Findings reveal that VR…

Quiet eye training, a technique focused on optimizing gaze behavior during critical moments, has shown potential for enhancing motor skill acquisition. This study investigates the effects of quiet eye training in both virtual and real-world environments on dart-throwing learning. The participants consisted of 45 female students who were randomly…

While virtual reference has become more critical during and after COVID-19, there remains a lack of current research in patron and librarian perceptions of the service. This study aims to compare librarian and patron ratings of chat interactions and highlight trends in what these ratings may suggest. Researchers collected randomized samples of…

Purpose: The notion of using a generative artificial intelligence (AI) engine for text composition has gained excessive popularity among students, educators and researchers, following the introduction of ChatGPT. However, this has added another dimension to the daunting task of verifying originality in academic writing. Consequently, the market…

Artificial intelligence is increasingly integrated into daily life, and modern educated individuals should have the ability to use AI tools correctly to improve work, study, and life efficiency. In this context, artificial intelligence literacy has been proposed. Due to the lack of consensus on the constructs of artificial intelligence literacy,…

This study uses the concept of dilemmatic space to unpack the complexities of teachers' work when it comes to assessing students in the GenAI age. A key idea of dilemmatic space is that dilemmas are not 'out there' but constructions based on individuals' priorities, knowledge and values. Therefore, studying what teachers perceive as 'dilemmatic'…

This study explores the impact of three alternative grading systems--specifications grading, standards-based grading (SBG), and ungrading--on student motivation, engagement, stress, enjoyment, and perceptions of fairness. Quantitative and qualitative analyses were conducted with students from mathematics, computer science, and statistics courses.…

Explain-in-Plain-English (EiPE) questions are used by some researchers and educators to assess code reading skills. EiPE questions require students to briefly explain (in plain English) the purpose of a given piece of code, without restating what the code does line-by-line. The premise is that novices who can explain the purpose of a piece of code…

In the wake of the present inclusion of programming in mathematics education, which is a feature of curricular revisions in many countries, we have analysed newly inserted programming activities in mathematics textbooks. The aim was to investigate how such activities relate to and potentially affect students' opportunities to learn mathematics.…

One of the identified points of confusion and a barrier to students using generative artificial intelligence (GenAI) is knowing what their professor would consider appropriate use of GenAI in a classroom setting or course framework. This creates points of friction for instructors and students as they try to navigate an ever-changing landscape,…