The present study aims at providing a descriptive account of the unaccusative verbs in Jordanian Arabic dialect (henceforth, JA) in terms of Transitivity. It also aims at presenting empirical evidence to prove that a split projection analysis is appropriate for unaccusative predicates in JA in light of the Minimalist Approach (Chomsky, 1995,…

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…

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…

Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…

Efforts to strengthen inclusive practice in education have been found to be underpinned by encounters with dilemmas. In particular, much has been written about the 'dilemma of difference', which is the perceived tension between wanting to provide for individual needs in education and wanting to avoid stigmatising individuals by treating them…

Think-aloud protocols are a standard method to study self-regulated learning (SRL) during learning by problem-solving. Advances in automated transcription and large language models (LLMs) have automated the transcription and labeling of SRL in these protocols, reducing manual effort. However, while effective in many emerging applications, previous…

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…