Data analysis is a major part of business analytics (BA), which refers to the skills, methods, and technologies that enable managers to make swift, quality decisions based on large amounts of data. BA has become a major component of Information Systems (IS) courses all over the world. The challenge for IS educators is to teach data analysis--the…

The demand for college graduates with skills in big data analysis is on the rise. Employers in all industry sectors have found significant value in analyzing both separate and combined data streams. However, news reports continue to script headlines drawing attention to data improprieties, privacy breaches and identity theft. While data privacy is…

A recent trend in data-informed continuous improvement efforts is the practice of student-involved data use (SIDU), wherein teachers guide students in tracking and analyzing their own learning data. However, as SIDU is a newer emphasis in educational data use, research is scarce as to how teachers (preservice or veteran) develop the knowledge and…

The present study investigates students' attitudes toward English graded teaching in North China Electric Power University (NCEPU for short). In essence, differences between learners of different grades and achievement groups were examined with regard to five constructs, namely, their perception of English graded teaching, the impact of English…

Closing the U.S. academic achievement gap is as complex as it is comprehensive due to the disproportion of instructional opportunities available to underserved student populations. Underserved student populations are defined as minority and/or students of color from low-socioeconomic families and communities, English language learners and recent…

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and…

To evaluate the willingness of teachers to incorporate aquaponics in the classroom, we engaged teachers in a 6-week project. Participants in the experimental group maintained small-scale aquaponic systems. All teachers completed pretests and posttests, and exit surveys. Both groups (experimental and control) scored significantly higher on the…

Refutation-style texts have been considered a viable strategy for changing psychological misconceptions. The current study aims to integrate refutation-style texts into a classroom-based method of learning. Psychology students were administered a true/false misconception survey and then viewed several refutation-style poster presentations…

The methods of geospatial data processing are being continually innovated, and universities that are focused on educating experts in Environmental Science should reflect this reality with an elaborate and purpose-built modernization of the education process, education content, as well as learning conditions. Geographic Information Systems (GIS)…

In the present study, complex dynamic systems theory and interpersonal theory are combined to describe the teacher-student interactions of two teachers with different interpersonal styles. The aim was to show and explain the added value of looking at different steps in the analysis of behavioral time-series data (i.e., observations of teacher and…

This contribution aimed at developing an understanding of student teachers' conceptions of guided discovery teaching approaches. A cross-sectional survey design involving eleven secondary mathematics teachers who had enrolled for an in-service mathematics education degree was used to address the research question: What are undergraduate student…

In this study, we applied decision trees (DT) to extract a compact set of pedagogical decision-making rules from an original "full" set of 3,702 Reinforcement Learning (RL)- induced rules, referred to as the DT-RL rules and Full-RL rules respectively. We then evaluated the effectiveness of the two rule sets against a baseline Random…

This article is aimed at teachers already experienced with activities involving small, student-collected data sets and who are now ready to begin working with large, online data sets collected by scientists and engineers. The authors discuss challenges, instructional strategies, and sources of appropriate lesson plans. With guidance, plus online…

Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…