Purpose: The purpose of this study is, First, to leverage the limitation of annotated data and to identify the cognitive level of learning objectives efficiently, this study adopts transfer learning by using word2vec and a bidirectional gated recurrent units (GRU) that can fully take into account the context and improves the classification of the…

In this article, I explore the theoretical and analytical potential of the concept of genring, which here refers to productive acts of temporary interpretation and signification, wherein existing classification systems and genre categories in the social are operationalized and (re)negotiated. Foucault and Butler's theories of discursive subjection…

Recent developments in Artificial Intelligence (AI) have generated great expectations for the future impact of AI in education and learning (AIED). Often these expectations have been based on misunderstanding current technical possibilities, lack of knowledge about state-of-the-art AI in education, and exceedingly narrow views on the functions of…

Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military. Innovative approaches for assessing individuals' CPS competency are necessary, as traditional assessment types such as multiple-choice items are not well suited for such a process-oriented…

Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military. Innovative approaches for assessing individuals' CPS competency are necessary, as traditional assessment types such as multiple-choice items are not well suited for such a process-oriented…

Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…

This article aims to study machine learning models to determine their performance in classifying students by gender based on their perception of complex thinking competency. Data were collected from a convenience sample of 605 students from a private university in Mexico with the eComplexity instrument. In this study, we consider the following…

By assessing student engagement with learning tasks along with students' understanding of subject matter before and during teaching, teachers are able to shift their teaching approaches through improvisational pedagogical reasoning in real time. However, if a teacher does not know how to respond to students' cues, their capacity to effectively…

With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…

Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…

Over the past twenty-five years, many academic libraries have shifted from print to digital collections. One consequence of this change has been the increased use of a library's website to access books, journals, and databases in a digital format. Thus, library space, once used to house print material, is now available for other purposes, creating…

Background and Purpose: Physical therapy (PT) student academic and clinical success is dependent on their ability to develop clinical reasoning in the first year, especially prior to the first clinical education experience. However, literature has revealed a very low ability of learners to spontaneously transfer basic science knowledge into…

Engineering identity is a rapidly evolving construct within engineering, primarily due to its link to engineering persistence. Yet, most engineering identity research has been qualitative in nature or has described individuals within the analytical technique as coming from a single population. This study is the first to allow for the detection of…

The cross-classified data structure is ubiquitous in education, psychology, and health outcome sciences. In these areas, assessment instruments that are made up of multiple items are frequently used to measure latent constructs. The presence of both the cross-classified structure and multivariate categorical outcomes leads to the so-called…

This article reports on data collected from a study of 101 students taking a first-year experience course. Using a mapping methodology in an effort to understand what resources students could identify and what relationships they saw between resources, the study showed that resources associated with a specific location or connected with people were…