The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open-source and…

This paper introduces the reader to the "Periodic Table of the World's Religious and Philosophical Traditions" (PTWRPT). It summarizes its background history, the conceptual thinking that underlies it, and explains why and how it was created. Using the same thinking that underlies Mendeleyev's Periodic Table of the Elements, it sets out…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…

In cognitive diagnostic assessment, multiple fine-grained attributes are measured simultaneously. Attribute hierarchies are considered important structural features of cognitive diagnostic models (CDMs) that provide useful information about the nature of attributes. Templin and Bradshaw first introduced a hierarchical diagnostic classification…

This investigation is done during COVID-19 to identify, rank, and classify MOOC (massive open online course) key acceptance factors (KAFs) from an Indian perspective. A systematic literature review identifies 11 KAFs of MOOC. One more novel factor named 'contingent instructor' is proposed by the authors considering pandemic and new normal…

The Wechsler Intelligence Scales for Children (WISC) are the most widely used instrument in assessing cognitive ability, especially with children with autism spectrum disorder (ASD). Previous literature on the WISC has demonstrated a divergent pattern of performance on the WISC for children ASD compared to their typically developing peers;…

In this paper, we present data from two iterative teaching experiments involving students' constructions of four basic counting problems. The teaching experiments were designed to leverage the generalizing activities of relating and extending to provide students with opportunities to reflect on initial combinatorial activity when constructing…

Within the framework of the systematic functional grammar (SFG), Matthiessen (2004) has provided an analysis of the word/element order according to which word/element order in a clause is decided by experiential, interpersonal and textual metafunctions. In this study which has been conducted aiming at the description and analysis of the…

Even though instructional videos are often used in many areas covering a wide range of studies and applications, the lack of a common approach for the definition and classification of instructional videos results in the use of several different models for these purposes. In order to develop such a common approach, there remains the need to build a…

This paper argues that there are no generic methods in academic research that can be categorized in terms like quantitative or qualitative. Each different area of research uses a distinctive combination of methods, theories, and tools in which these methods, theories, and tools have been customized to work together. Grouping every area that uses…

Background: Engineering education research frequently examines students' persistence (or intentions to persist) into engineering careers from engineering school. However, the variety of engineering-related occupations has increased substantially in recent years, challenging researchers' abilities to discern what constitutes persistence in…

Learning assessments are important to monitor the progress of students throughout the teaching process. In the digital era, many local and large-scale learning assessments are conducted through technological tools. In this view, a large-scale learning assessment can be designed to tackle one or multiple parts of the teaching process. Oral reading…

Purpose: The International Classification of Functioning (ICF) provides a framework for understanding and accommodating disability. This study examined predictors and outcomes of ICF familiarity among rehabilitation counselors. Method: Analysis of variance and hierarchical regression analysis were used to examine research questions related to ICF…

Learning Management Systems (LMS) lack automated intelligent components that analyze data and classify learners in terms of their respective characteristics. Manual methods involving administering questionnaires related to a specific learning style model and cognitive psychometric tests have been used to identify such behavior. The problem with…