With the rapid advancement of information technology, online education based on big data and artificial intelligence is a hot research topic in education. This study focuses on applying big data and AI in online vocal wisdom classes to enhance personalized teaching and effectiveness. It aims to address issues in traditional vocal education like…

This teaching tip describes using Microsoft Power BI Desktop in a class to analyze unstructured data from an exit survey of prior students from a Master of Science in Management Information Systems program. Results from a short survey administered to these students showed that the students, using the no-code Power BI, were able to accomplish their…

Out-of-school-time (OST) programs and their funders rely on sound data to make decisions about everything from professional development and student recruitment to the selection of activities to offer students. Programs operate at a range of times (before and after school, weekends, summer) and in a variety of locations (e.g., schools,…

The Expanded Food and Nutrition Education Program (EFNEP) uses a group 24-hour dietary recall (Gr24HDR) to measure changes in diet quality. Participant perceptions of the tool can guide implementation practices used by EFNEP Extension staff. Focus group (FG) sessions were conducted in five states and transcripts analyzed following a framework…

Partnership models have been effective across many areas of higher education such as involving students as teaching and learning consultants, in course design and redesign, and as co-instructors. However, there are few systems-level (i.e., entire programs or institutions) examples of partnership work and virtually none in systems-level assessment.…

The intersection of Data Science (DS) and Library and Information Science (LIS) is rapidly developing, with a notable need for ongoing transdisciplinary training between practitioners in these two fields. The LIS Education and Data Science Integrated Network Group (LEADING) fellowship program and its ancillary community of practice (CoP) showcase…

School-based teams are a core method for stakeholder collaboration and coordination. Although school teams are responsible for making numerous decisions, a limited number of measures exist to support the evaluation of these meetings, none of which span the full range of hypothesized meeting quality variables (e.g., meeting structure, use of data).…

This study aims at a rediscovery of the extent to which a Data Driven Learning (DDL)-based intervention could become instrumental in facilitating grammar instruction with a specific focus on English for Academic Purposes (EAP) and learner autonomy in a preparatory program comprised mostly of Turkish-L1 learners. It provides a context-restricted…

In this study, it was aimed to develop a Likert-type scale that will allow to measure the effectiveness of data-driven decision-making in schools in a valid and reliable way. The study group of the research consists of 179 school administrators working in public primary, secondary and high schools in Kahramanmaras province in the 2019-2020…

Within the context of the telecom industry, this teaching case is an active learning analytics exercise to help students build hands-on expertise on how to utilize Big Data to solve a business problem. Particularly, the case utilizes an analytics method to help develop a customer retention strategy to mitigate against an increasing customer churn…

Novice teachers' readiness for teaching may affect the quality of the classroom environment and teachers' likelihood of remaining in teaching. Using a survey of novice teachers in one state, we examine teachers' preparedness for teaching, the supports offered, and the perceived helpfulness of those supports. Even novice teachers often had some…

The Aid Like A Paycheck student survey was designed to shed light on students' academic and financial attitudes, behaviors, and circumstances over the course of a semester. This supplement to MDRC's final report on Aid Like A Paycheck describes the survey, response rates, and responses to each survey item at three community college systems: two in…

The purpose of the "Drivers Best Practices Assessment" ("DBPA") is to assist organizations in assessing their current supports and resources for quality use of selected programs or practices. Specifically, organizations can use it to: (1) Identify strengths and opportunities for improvement in their current supports and…

A quality rating and improvement system (QRIS) is a voluntary state assessment system that uses multidimensional data on early childhood education programs to rate program quality, support quality improvement efforts, and provide information to families about the quality of available early childhood education programs. QRISs have two components:…

This study investigates the effect of the science writing heuristic (SWH) approach on the quality of prospective science teachers' (PSTs) argumentative writing and their understanding of the components of argumentation in the SWH approach and their own learning. Ten SWH approach activities were implemented during the semester. The study was…