Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…

We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…

Describes a methodology for student involvement in courseware evaluation and for utilizing student reactions in purchasing and implementation decisions. The evaluation forms used in a survey of 2,308 Indiana students are presented, and the results of that survey are discussed. (18 references) (CLB)

This article describes a qualitative research approach (in-depth phenomenological interviewing) and illustrates, through the example of an actual study, its potential for helping institutions of higher education understand their students. It argues that progress in understanding college student outcomes, such as persistence, has been retarded by…

This report discusses the outcomes of a study that investigated the relationship between student scores on the five sub-scales of the School Attitude Assessment Survey-Revised (SAAS-R) and the academic achievement of known groups of gifted achievers and gifted underachievers. The study examined whether gifted achievers and gifted underachievers…

Common elements identified as context variables that may affect student evaluation of instruction are explored, and the literature on student ratings of teacher effectiveness is reviewed. Sociocultural context variables (gender, race, ethnicity, and social class variables) are discussed in terms of stereotyping and prejudice found with…