A structured series of activities has been designed and implemented to promote analysis and data reporting skills for second-year organic chemistry students. Student report sheets were developed to assist students in reporting necessary data for their compounds. A series of rubrics have been utilized by students to promote metacognition and by…

This article considers how a handicapping system should be devised for squash. It looks at the American scoring system, and whether it is possible to have a fair system of handicapping. We consider "fair" from a perspective of expected number of rallies won and probability of winning.

Educational reform priorities such as emphasis on quantitative modelling (QM) have positioned undergraduate biology instructors as designers of QM experiences to engage students in authentic science practices that support the development of data-driven and evidence-based reasoning. Yet, little is known about how biology instructors adapt to the…

This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…

[This paper is part of the Focused Collection in Investigating and Improving Quantum Education through Research.] One of the greatest weaknesses of physics education research is the paucity of research on graduate education. While there are a growing number of investigations of graduate student degree progress and admissions, there are very few…

Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to…

Although artificial Intelligence (AI) is prevalent and impacts facets of daily life, there is limited research on responsible and humanistic design, implementation, and evaluation of AI, especially in the field of education. Afterall, learning is inherently a social endeavor involving human interactions, rendering the need for AI designs to be…

Purpose: The evaluation of spelling performance in aphasia reveals deficits in written language and can facilitate the design of targeted writing treatments. Nevertheless, manual scoring of spelling performance is time-consuming, laborious, and error prone. We propose a novel method based on the use of distance metrics to automatically score…

Principles of skill acquisition dictate that raters should be provided with frequent feedback about their ratings. However, in current operational practice, raters rarely receive immediate feedback about their scores owing to the prohibitive effort required to generate such feedback. An approach for generating and administering feedback responses…

This introductory article describes how constructed response scoring is carried out, particularly the rater monitoring processes and illustrates three potential designs for conducting rater monitoring in an operational scoring project. The introduction also presents a framework for interpreting research conducted by those who study the constructed…

While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…

In today's world, Global Competence represents a fundamental disposition for teachers who must be able to teach effectively in classrooms with students from diverse backgrounds and manage multiple learning contexts. For these reasons, it is necessary to set up educational activities during initial teacher education programs aimed at developing and…

How can schools integrate the lessons of remote learning during the COVID-19 pandemic into their face-to-face teaching. What guidelines can teachers use to be sure they are integrating technology? In this article, we propose an adaptation of the Triple E Framework to guide this work. The goal of the framework is to ensure that technology use…

Multilevel modelling (MLM) is the most frequently used approach for evaluating interventions with clustered data. MLM, however, has some limitations that are associated with numerous obstacles to model estimation and valid inferences. Longitudinal multiple-group (LMG) modelling is a longstanding approach for testing intervention effects using…

Role-play is a natural and dominant form of early childhood activity. While playing, a child masters new forms of behavior, learns to interact with others, and develops imagination and self-regulation skills. The existing methods of play assessment are based on different theoretical approaches that variously define both the criteria for play and…