Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…

Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…

An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…

Recommender systems in educational contexts have proven effective to identify learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In current recommendation techniques, and in particular, in…

Social network analysis (SNA) consists of a broad set of frameworks and methods to assess how direct and indirect relationships influence individual functioning. Although interest in SNA has steadily increased in the psychological sciences, school psychology has not kept pace. This article provides a general overview of core SNA concepts,…

This paper presents a financial statements analysis (FSA) project that integrates Bloomberg and Thomson Reuters in an introductory MBA accounting course. The project introduces students to leading financial databases that are used in practice and helps them to understand how such databases can be effectively leveraged to analyze both the financial…

Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…

In this study, we held a 12-hour workshop focused on training the Data-Driven Learning (DDL) approach for in-service Chinese teachers aiming to implement this pedagogy in Mandarin Chinese classrooms in the future. We analyzed data from a postworkshop questionnaire to understand how the individual-level traits of Chinese teachers (such as their…

These are the appendices for the report "The Effects of an Academic Language Program on Student Reading Outcomes." This study investigated WordGen Elementary, a program designed to improve fourth- and fifth-grade students' ability to understand and communicate academic language and their general reading skill. The program provider…

From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…

Classroom discourse is a core medium of instruction -- analyzing it can provide a window into teaching and learning as well as driving the development of new tools for improving instruction. We introduce the largest dataset of mathematics classroom transcripts available to researchers, and demonstrate how this data can help improve instruction.…

Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…

Building on the need for developing educational responses to the impact of data practices in our everyday lives, a new curriculum called Nayah-Irú was designed and implemented in the context of five alternative schools in Uruguay. Nayah-Irú aimed at fostering Critical Data Literacy (CDL) using speculative civic literacies, helping youth and…

Evidence-based practice in early childhood education and care (ECEC) refers to educators, teachers and leaders being intentional in their practice by drawing on rigorous research evidence. This national research snapshot by the Australian Education Research Organisation (AERO) collects evidence on the use of evidence-based practices in Australian…

Due to tremendous reception on digital learning platforms, many online users tend to register for online courses in MOOC offered by many prestigious universities all over the world and gain a lot on cutting edge technologies in niche courses. As the reception of online courses is increasing on one side, there have been huge dropouts of…