Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

Recently, there has been a demand for increased educational technology usage in the university classroom, despite expanded access and implementation there has been little attention paid to student data privacy concerns. Our work is one institution's response to addressing the data privacy gap by creating a comprehensive review process for…

Studies indicate that racial disparities in STEM achievement or equity grade gaps are associated with faculty fixed mindset beliefs; however, whether specific instructional beliefs are linked to student academic achievement remains unclear. We surveyed 216 STEM faculty to assess their mindset and instructional beliefs and linked these to detailed…

This study examined the roles and tasks of school heads in promoting quality education in community secondary schools in Tanzania. Specifically, it assessed the contribution of school principals' administrative roles and tasks, as well as their supervision of classroom pedagogical practices. The study adopted a qualitative approach, utilizing a…

Comparative interrupted time series (CITS) designs evaluate impact by modeling the relative deviation from trends among a treatment and comparison group after an intervention. The broad applicability of the design means it is widely used in education research. Like all non-experimental evaluation methods however, the internal validity of a given…

With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…

Background: Acquisition and generalization of data analysis skills are perennial challenges for psychology students. Teaching advanced data analysis in a psychology-specific context might improve students' learning. Objective: At a mid-sized public university, we evaluated student outcomes after a new quantitative psychology course taught in the…

The purpose of this study is to look at the impact in terms of timing of language-based learning differences and how this has impacted students' overall comprehension scores on SAT or ACT and final English grade. Participants were male alumni of a private college preparatory school with a diagnosed language-based learning difference who were a…

New technological developments, such as 5G networks, smart and interconnected devices, and the development of the Internet of Things (IoT), lead to a new reality in which the secure flow of data is non-negotiable. In this new reality, blockchain technology can play a crucial role, as it has the ability to provide the necessary background for the…

MegaSoTL projects are scholarship of teaching and learning (SoTL) projects that generate evidence of learning from multiple institutions. While being increasingly practiced, MegaSoTL projects and their potential contribution to improve higher education pedagogy remain understudied in higher education literature. In this article, we introduce…

The use of technology in K-12 education is now more widespread than it ever was before the pandemic, and that is the case even though nearly all schools across the country have transitioned back to in-person learning. Record numbers of students now have their own school-issued digital devices, educators have become more critical evaluators of…

Running records is an important reading assessment for diagnosing early readers' needs in diverse instructional settings across grade levels. This study develops an innovative app to help teachers administer running records assessment and investigates teachers' perceptions of its functionality and usability in practical classrooms. The app offers…

Since 2016, the Advanced Distributed Learning (ADL) Initiative has been developing the Total Learning Architecture (TLA), a 4-pillar data strategy for managing lifelong learning. Each pillar describes a type of learning-related data that needs to be captured, managed, and shared across an organization. Each data pillar is built on a set of…

Background: Students who do not acquire social and emotional skills are at risk for a range of negative outcomes that include emotional and behavioral disabilities, lower school achievement and school failure, peer rejection, substance abuse, and school dropout (Downer & Pianta, 2006; Riggs et al., 2006 Quinn & Poirier, 2004). Tools for…

This booklet has been developed in hopes that it may aid in keeping communication open and focused between families and schools. Building communication between parents and the school staff through letters offers a way of keeping records of ideas, concerns, and suggestions. This booklet provides general guidelines to writing letters as well as…