While learning analytics (LA) practices have been shown to be practical and effective, most of them require a huge amount of data and effort. This paper reports a case study which demonstrates the feasibility of practising LA at a low cost for instructors to identify at-risk students in an undergraduate business quantitative methods course.…

We developed a method for using Coh-Metrix to automatically analyze tutorial dialogues. Coh-Metrix, a web-based tool for automatically evaluating text, is freely available to researchers. We applied the method to 190 tutorial dialogues between women and "BRCA Gist" from two experiments. "BRCA Gist" is an intelligent tutoring…

Extensive research in learning science has established the importance of time management in online learning. Recently, learning analytics (LA) has shed further lights on the temporal characteristics of learning by allowing researchers to capture authentic digital footprints of student learning behaviours. Nonetheless, students' timing of…

The importance of teachers in online learning is widely acknowledged to effectively support and stimulate learners. With the increasing availability of learning analytics data, online teachers might be able to use learning analytics dashboards to facilitate learners with different learning needs. However, deployment of learning analytics…

In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…

The aim of the present study is to evaluate the efficiency of an online curriculum based on the views of lecturers and students enrolled in the program. The study is mainly based on survey method. In order to collect qualitative data, interviews forms developed by the researcher were used. The reliability and validity of the interview forms were…

Learning from the practice of teaching teachers is a promising approach for mathematics teacher educators to attain the extensive knowledge and abilities needed for their roles. As mathematics teacher educators ourselves striving to develop across our professional lifespans, we used one such approach, known as a lesson experiment, to investigate…

The purpose of this research is to propose how we can encourage non-computing major first-generation-college-bound students to be actively involved in learning data analytics. Non-computing major students have limited opportunities to take a data analytics related course. The computing major programs have the resource limit for offering none-major…

The Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at the fourth and eighth grades, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student…

This quantitative, correlational study used learning analytics to examine correlations between predictor variables (student-content, student-instructor, and student-system interactions) and criterion variable (student-student interactions) and to determine if the four predictor variables were significant predictors of grades in graduate students…

The objectives of the audit were to determine whether the Puerto Rico Department of Education (Puerto Rico): (1) submitted complete, accurate, and reliable Adult Education program performance data to the U.S. Department of Education (Department); (2) ensured that Adult Education program funds were used in accordance with applicable Federal and…

The increasing amount of available subjective text data in internet such as product reviews, movie critiques and social media comments provides golden opportunities for information retrieval researchers to extract useful information out of such datasets. Topic modeling and sentiment analysis are two widely researched fields that separately try to…

The rate at which data is produced and accumulated today is greater than at any point in history with little prospect of slowing. As organizations attempt to collect and analyze this data, there is a tremendous unmet demand for appropriately skilled knowledge workers. In response, universities are developing degree programs in data science and…

When combining results across related studies, a multivariate meta-analysis allows the joint synthesis of correlated effect estimates from multiple outcomes. Joint synthesis can improve efficiency over separate univariate syntheses, may reduce selective outcome reporting biases, and enables joint inferences across the outcomes. A common issue is…

Currently, only a small percentage of internships accredited by the American Psychological Association (APA) are filled by school psychology interns and only a few of the available APA internship positions are in schools. Program data submitted online to APA indicate that many interns are in sites that meet the guidelines adopted by the Council of…