This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…

Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…

Purpose: Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims to examine the links among Artificial intelligence (AI), knowledge sharing, ethics, academia and libraries in educational institutions. Moreover, this study also aims to provide a literature base while discussing recent…

This paper examines ChatGPT's capability in evaluating educational learning outcomes, investigating its effectiveness in assessing SMART criteria alignment and identifying the presence of fundamental components. The hypothesis posits that ChatGPT can proficiently accomplish these tasks, offering potential benefits to educational design and…

Successful comprehension is only possible when children draw inferences about ideas implicit or missing in discourse. Supporting inference-making with explicit instruction must start early given its importance in comprehension and knowledge development. However, students who experience difficulties with early reading skills often do not receive…

Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…

This paper argues that generative AI has become ubiquitous in academia, making irrelevant the debates about whether or not to allow it. Instead, the author advocates for transparency and accountability frameworks that acknowledge AI's presence while preserving academic integrity. The paper examines the challenges educators face: unreliable…

To Brian Sutton-Smith's catalogue of seven play rhetorics in his influential work, "The Ambiguity of Play," the author adds an eighth category--the rhetoric of computational play, connecting the research field of game studies with other forms of play studies. By proposing this rhetoric, Sicart seeks to consolidate the relation between…

Many universities utilized a reactive, piecemeal approach to adapt and rapidly reopen schools at the onset of the COVID-19 pandemic. Although schools were able to resume classes online relatively quickly, there was limited time to explore best practices for an optimal online learning environment. The pandemic exposed significant issues in the…

Background and Context: Efforts to engage adult learners in computer science in the United States have been largely unsuccessful. While research examining the use of music for teaching computer programming with K-12 learners is emerging, little research with adult learners exists. Objective: This study evaluates the effect of computer coding…

We introduce the free web-app PyGgb -- the combination of the well-known programming language Python and the dynamic mathematics system GeoGebra. Motivated by the desire to provide an introduction to Python coding in the familiar context of mathematics and geometry, PyGgb allows GeoGebra constructions to be created using Python code. We outline…

Purpose: The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing,…

In this paper, we present the analysis of the students' achievements in learning calculus in a dynamic software environment during the COVID-19 crisis. Two groups of students, the experimental and the control one, were monitored. Blended learning was applied to the students in the experimental group, with the help of "Microsoft Teams"…

GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they are quantifiably worse than real teachers in several pedagogical dimensions. We present the…

Visual inspection of single-subject data is the primary method for behavior analysts to interpret the effect of an independent variable on a dependent variable; however, there is no consensus on the most suitable method for teaching graph construction for single-subject designs. We systematically replicated and extended Tyner and Fienup (2015)…