Automatic answer assessment systems typically apply semantic similarity methods where student responses are compared with some reference answers in order to access their correctness. But student responses in dialogue based tutoring systems are often grammatically and semantically incomplete and additional information (e.g., dialogue history) is…

This experimental research study examined the effects of using a mobile learning environment (MLE) that provided scaffolded assistive tutoring on student achievement in a Circuit Analysis (Network Theory) course. It also aimed to examine the relationships between students' user learning analytics and their learning outcomes. The design and…

The purpose of this study was to examine the effects of a vocabulary tutoring intervention with defining key vocabulary terms and algebraic problem-solving skills of students who struggle with mathematics. Literature shows that there is a need to further explore how students with mathematical learning difficulties learn mathematics vocabulary at…

The purpose of this mixed methods study was to investigate relationships between students' ALEKS usage, teachers' implementation of ALEKS, and student performance on the 2017-2018 LEAP 2025 mathematics assessment. The quantitative portion of the study involved district-level analyses and teacher-level analyses that explored relationships between…

The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…

Educational inequality is a long-standing and persistent challenge. Never has this inequality been more evident than during the COVID-19 era. The pandemic put existing divisions into sharp relief, and made them worse. Recent evidence tells a terrible story of the consequences of the pandemic--and the response of the education system to the…

Innovation in education is vital for responding to emerging challenges, such as the COVID-19 pandemic, and for building progress on longstanding challenges in schools. The infusion of substantial, highly flexible pots of federal relief dollars created an opportunity to pilot new programs and initiatives. Many states and districts opted to invest…

This dissertation study presents a case study of one of the largest educational agencies in China. The study investigated the instructional effectiveness of the test prep program in Test of English as a Foreign Language (TOEFL). The purpose of this study is threefold: 1) to examine the educational effectiveness of a language proficiency test…

Recent advances in Artificial Intelligence (AI) have paved the way for the integration of text-based and voice-enabled chatbots as adaptive virtual tutors in education. Despite the increasing use of AI-powered chatbots in language learning, there is a lack of studies exploring the attitudes and perceptions of teachers and students towards these…

The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of…

This study examines two 5-year longitudinal data sets of community college students (n = 595 and n = 593) to explore factors associated with successful outcomes in developmental mathematics. Logistic regression models consider the role of demographic factors, course format, and student support structures on the likelihood of a student completing…

Current technologies for qualitative data analysis treat all types of data analysis as a homogeneous category, and for this reason, the value of other technologies for a discourse analysis of transcripts is not well examined. Therefore, the current study addresses how qualitative data can be analyzed by a learning analytic tool, such as Knowledge…

We evaluated the validity of an automated approach to learning progress assessment (aLPA) for English written expression. Participants (n = 105) were students in Grades 2-12 who had parent-identified learning difficulties and received academic tutoring through a community-based organization. Participants completed narrative writing samples in the…

Background: In fall 2020, community colleges (CCs) served nearly five million students, representing 29% of U.S. undergraduates. Despite providing unprecedented access to postsecondary education, rates of degree attainment are low. Among first-time, full-time, degree/certificate-seeking students whose first postsecondary school is a CC, only 31%…

Many learners are unmotivated to learn mathematics due to a lack of attention, irrelevance of mathematics, low self-confidence and dissatisfaction. However, peer tutoring can afford learners opportunities to engage with other individuals who have overcome similar challenges in the learning of mathematics and who can motivate them to become…