This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…

The measurement of student performance during their progress through university study provides academic leadership with critical information on each student's likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those "at risk" of…

Credit recovery in public education has become an intervention used widely in the United States to address the rising number of students who are not meeting with success in the completion of required courses in the traditional education setting. With the passing of the Every Student Succeeds Act in 2015, public schools sought a method to motivate…

As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research. This paper intends to summarize the main outcomes of a systematic review of empirical evidence on learning analytics for learning design. Moreover, this paper presents an overview of what and…

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…

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…

Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…

Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…

Technology-enhanced formative evaluation (TEFE) could enhance student achievement while diminishing the burden of formative evaluation for educators. The current study examined data from 360 randomly selected schools that either used a TEFE program for 1 year to 4 years 11 months, for 5 or more years, or not at all. Analyses of covariance found a…

This paper describes the findings of an exploratory cycle of a design-based research project and examines the learning effectiveness of collaborative activities that are supported by the GroupScribbles (GS) software technology in two Singapore primary science classrooms. The students had ten weeks of GS-based lessons in science, which were…

This study focuses on the impact of wireless, mobile computing tools on student assessment outcomes. In a campus-wide wireless, mobile computing environment at an upper Midwest university, an empirical analysis is applied to understand the relationship between student performance and Tablet PC use. An experimental/control group comparison of…

Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…

The What Works Clearinghouse (WWC) reviewed interventions to promote middle school students' math knowledge and skills. Because there is some variation in how school districts organize middle school, we considered curricula aimed at students in grades 6 through 9, covering one or more of the following content areas: numbers and operations,…

Discussion of educational evaluation focuses on five topics critical to evaluating adaptive learning environment systems: (1) the system being evaluated; (2) standards, both engineering standards and standards for assessing learning outcomes such as task transfer; (3) gathering appropriate data; (4) processes for gathering data; and (5) rules for…

Project SIRA (System for Instructional Response Analysis) used a systems approach to develop a complete range of programs and techniques both for evaluation of student performance and for evaluation and revision of computer-assisted instruction (CAI) lesson material. By use of the PLATO computer-based instructional hardware system at the…