We manipulated three types of short feedback (emotional, epistemic, and neutral) in an intelligent tutoring system designed to help struggling adult readers improve reading comprehension strategies. We conducted our research on college students to eventually compare with the targeted adult population. We also recorded their facial emotions.…

The 8th International Conference on Educational Data Mining (EDM 2015) is held under auspices of the International Educational Data Mining Society at UNED, the National University for Distance Education in Spain. The conference held in Madrid, Spain, July 26-29, 2015, follows the seven previous editions (London 2014, Memphis 2013, Chania 2012,…

Many administrators in Learning Assistance Programs (LAPs) have teaching duties, or take on teaching duties at some point in their careers. This study was designed to examine the impact of LAP experience on classroom pedagogy. A pilot study was utilized first through listservs and email chains to ask that question of LAP professionals. After…

Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…

This exploratory study compares the shared book reading behaviours of five school aged children with DS (aged 11 years 6 months to 15 years 6 months) before and after participation in an intervention which included selected components of the MultiLit Reading Tutor Program. The program was delivered 1:1 to participants each week over a 12 week…

The study examined the prevailing assumption of education's role in labor market outcomes using samples from Korea's young adult population. KEEP, collected annually by KRIVET since 2004, includes an initial sample in 2004 of 12th graders from both general and vocational high schools; the sample size reflected a total of 2000 students for each…

The purpose of this pilot study with a within-subject design was to gain a deeper understanding about the promise and restrictions of a virtual tutoring system designed to teach science to first grade students in Finland. Participants were 61 students who received six tutoring science sessions of approximately 20 min each. Sessions consisted of a…

We examined the efficacy of an afterschool multicomponent reading intervention for third- through fifth-grade students with reading difficulties. A total of 419 students were identified for participation based on a 90 standard score or below on a screening measure of the Test of Silent Reading Efficiency and Comprehension. Participating students…

The purpose of this pilot study with a within-subject design was to gain a deeper understanding about the promise and restrictions of a virtual tutoring system designed to teach science to first grade students in Finland. Participants were 61 students who received six tutoring science sessions of approximately 20 min each. Sessions consisted of a…

The 2013 Washington State Legislature enacted legislation (Revised Code of Washington [RCW] 28A.165.100) requiring additional data reporting for the Learning Assistance Program (LAP). Under the guidelines provided in the law, the Office of Superintendent of Public Instruction (OSPI) produces an annual report to the Legislature summarizing the…

Recent research has extended student modeling to infer not just whether a student knows a skill or set of skills, but also whether the student has achieved robust learning--learning that enables the student to transfer their knowledge and prepares them for future learning (PFL). However, a student may fail to have robust learning in two fashions:…

One of the most popular student modeling approaches is Constraint-Based Modeling (CBM). It is an efficient approach that can be easily applied inside an Intelligent Tutoring System (ITS). Even with these characteristics, building new ITSs requires carefully designing the domain model to be taught because different sources of errors could affect…

Brainwaves (EEG signals) and mouse behavior information are shown to be useful in predicting academic emotions, such as confidence, excitement, frustration and interest. Twenty five college students were asked to use the Aplusix math learning software while their brainwaves signals and mouse behavior (number of clicks, duration of each click,…

Prior research shows that representational competencies that enable students to use graphical representations to reason and solve tasks is key to learning in many science, technology, engineering, and mathematics domains. We focus on two types of representational competencies: (1) "sense making" of connections by verbally explaining how…

The purpose of this study was to examine the effect of household education expenditure on National College Entrance Exam (NCEE) performance in China. Using a comprehensive dataset with a sample size of 5840 students collected in Jinan, China, this study found that the average effect of household education expenditure on NCEE performance is not…