Data mining of course enrollment and course description records has soared as institutions of higher education begin tapping into the value of these data for academic and internal research purposes. This has led to a more than doubling of papers on course prediction tasks every year. The papers often center around a single prediction task and…

The COVID-19 epidemic had caused one of the most significant disruptions to the global education system. Many educational institutions faced sudden pressure to switch from face-to-face to online delivery of courses. The conventional classes are no longer the primary means of delivery; instead, online education and resources have become the…

This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…

In this paper we present a novel, data-driven algorithm for generating feedback for students on open-ended programming problems. The feedback goes beyond next-step hints, annotating a student's whole program with suggested edits, including code that should be moved or reordered. We also build on existing work to design a methodology for evaluating…

In 2015, a new MTeach coursework unit, "Numeracy for Learners and Teachers," was introduced at Monash University. The impetuses for this unit were the Australian Institute for Teaching and School Leadership numeracy standards for graduate teachers, and the inclusion of numeracy as a general capability in the Australian Curriculum. In…

Precipitation data for Macomb (Illinois) for the period 1912-1981 were the bases for developing classroom exercises that offered college students experience in collecting such data. After students collected the data, they reduced them to manageable proportions, and then examined average long-term relations which may have emerged among yearly,…

An approach is described for teaching undergraduate sociology students social research skills through student use of packaged computer programs while carrying out their own research projects. Two back-to-back courses focus on training in data collection methodologies, followed by training in data analysis using the computer. In order to meet the…

A university level course which uses minicomputers in laboratory data acquisition and experimental control is described. The majority of the students are chemistry seniors and graduate students; prerequisites are general physics and one semester of computer science or programing experience. The goals of the course, which is divided into 3 5-week…