The aim of this study is to investigate the trends in research related to problem posing in mathematics education. The study focuses on the articles on problem posing in the Web of Science database between 1990 and 2021. The term co-occurrence map, which was created depending on the data in the text with the bibliometric analysis of the articles…

This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…

As children develop conversational skills such as taking turns and openly listening to ideas, they often experience conflicts and inequity within collaborative dialogue for learning. Previous research suggests that increasing children's awareness about their own behaviors during collaboration may help them adjust their behaviors and become better…

Objective: We aimed to explore conversations about mental health difficulties by Reddit users who posted within college subreddits during the COVID-19 pandemic. Participants: Data were collected from the subreddits of 22 California campuses, representing 113,579 anonymous members. Using the following search terms, we retrieved 577 posts (i.e., 268…

Engaging with primary researchers during qualitative secondary analysis is a practice much recommended but rarely written about. In this article, I reflect on my experience of crossing an imagined boundary between the discrete textual dataset and its creators, of acknowledging and engaging with those researchers who invested in constructing the…

Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…

Libraries have adopted web scale discovery services with the goal of providing their users with a streamlined research experience. However, the single search box that characterizes web scale discovery is one option among many that libraries continue to provide, including subject databases and other legacy tools. Libraries lack evidence regarding…

The manuscript proposes a method based on Blockchain technology, IPFS, and asymmetric key algorithm to authenticate academic degrees and certificates. The proposed method employs decentralization and therefore provides a scalable, secure, transparent, and economical solution than existing methods. In the proposed framework, the degrees and…

The present study offers a novel methodology for corpus-based discourse analysis that combines Kenneth Burke's (1968, 1969) dramatistic method of text analysis and the corpus techniques of keyword extraction and concordance reading. Applying the methodology, a two-stage analysis of Donald Trump's 2016 Orlando speech has been conducted: First, at a…

Constructing scientific arguments is an important practice for students because it helps them to make sense of data using scientific knowledge and within the conceptual and experimental boundaries of an investigation. In this study, we used a text mining method called Latent Dirichlet Allocation (LDA) to identify underlying patterns in students…

The "Journal of Teaching in International Business (JTIB)" is a dedicated and premier platform for research on teaching international business. This study presents a comprehensive overview of the papers published in "JTIB" between 1989 and 2019 through bibliometric methods. Using data from Scopus database, the publications were…

Citespace, a visualization-based analysis tool, has been used to analyze the literature data by visualizing the patterns and potential trends of a field. Previous studies show that when used for analyzing the literature in Chinese, Citespace could only conduct very basic analysis, different from its use in analyzing the literature data in English.…

This study used the bibliometric method to examine the field of second language acquisition (SLA) between 1997 and 2018 to provide a systematic overview of the field and to discover major trends in SLA. Based on citation/cocitation information and keywords retrieved from Web of Science, this study performed three types of bibliometric analyses to…

The goal of this project is to examine the development and current state of U.S. education research through the lens of computational social science. The dissertation comprises three studies which use distinct data--dissertations, library logs, patents--and methods-- topic models, navigational networks, semantic networks--to approach the field. In…

Student success efficacy studies are aimed at assessing instructional practices and learning environments by evaluating the success of and characterizing student subgroups that may benefit from such modalities. We develop an ensemble learning approach to perform these analytics tasks with specific focus on estimating individualized treatment…