Many AIED systems support self-regulated learning, yet, support for setting and achieving practice goals has received little attention. We examine how middle school students respond to system-recommended practice goals, building on the success of similar data-driven recommendations in other domains. We introduce an adaptive dashboard in an…

This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…

Although badges are among the most-used game elements in gamified education, studies about their optimal features to motivate learning are scarce. How should a badge be designed to represent an incentive for a specific goal like optimal exam preparation? This study examines usage data of a higher education learning app to determine whether the…

Simulation-based learning environments have been proposed by researchers, as educational tools to support learning in complex business systems. However, studies have evidenced that subjects may nevertheless have great difficulty understanding and managing dynamic systems. Previous research has revealed positive learning and performance effects of…

Teachers' technological experiences are constrained by limitations in reflective decision-making and theoretical frameworks. Challenges with the technological pedagogical content knowledge framework (TPACK) are often associated with deficits in self-regulation. To effectively develop TPACK, it is recommended that educators focus on enhancing…

Passive learning environments to teach programming concepts, especially in large lecture classes, hinder students' motivation, performance and may adversely affect their achievement goals. The study presents the use of two instructional strategies, teamwork, and reflective thinking, using educational technologies introduced in a class of 120…

Massive Open Online Courses (MOOCs) have emerged with much popularity in the last five years, yet many questions remain about whom MOOCs best serve and what constitutes learner success. Completion rates, a common metric of student success, remain low (averaging < 8%) and may be a misleading measure of success unless learner intentions are…

An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For this goal in the context of social interaction in learning, we propose a three-part pipeline that includes data infrastructure, learning process…

This article examines types of interaction from the perspective of intervening agents and interaction outcomes. We argue that the strategic combination of these types of interaction with certain core features (such as dosified input, attainable goal-setting, personalization and collaboration) contribute to creating a more effective relationship…

This pilot study was designed to explore how vicarious learning experiences and goal setting influence preservice teachers' self-efficacy for integrating technology into the classroom. Twenty undergraduate students who were enrolled in an introductory educational technology course at a large midwestern university participated and were assigned…

The discussion of long- versus short-term effects is usually absent when it comes to the choice of training technology. Short-term effects become the major criteria for the choice: training resolves a concrete problem. An important reason for thinking about long-term effects of training and training strategies is the ultimate objective of training…