The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…

To succeed in mathematics middle-years' students must move from additive to multiplicative thinking and from arithmetic calculations to generalised algebraic strategies. If we ask the right questions this progression can be monitored and prompted through fraction tasks. Students' solution strategies for fraction tasks vary from a dependence on…

This study examines the effectiveness of the Center for Civic Education's Project Citizen teacher professional development program and curriculum intervention in producing positive student learning outcomes that support civic engagement. Through Project Citizen, students identify and research a problem in their community, explore solutions,…

Open-ended questions in mathematics are commonly used by teachers to monitor and assess students' deeper conceptual understanding of content. Student answers to these types of questions often exhibit a combination of language, drawn diagrams and tables, and mathematical formulas and expressions that supply teachers with insight into the processes…

Automatic speech recognition (ASR) has considerable potential to model aspects of classroom discourse with the goals of automated assessment, feedback, and instructional support. However, modeling student talk is besieged by numerous challenges including a lack of data for child speech, low signal to noise ratio, speech disfluencies, and…

This study examines data from a field experiment investigating the effects of a personalized recommendation algorithm that proposes to students which videos to watch next, after they complete mini-assessments for algebra that available on the Math Nation intelligent virtual learning environment (IVLE). The end users of Math Nation are students…

THS is applied to Science High Schools, Social Sciences High Schools, Anatolian Technical Programs of Vocational and Technical Anatolian High Schools and Project schools for student selection. With THS, approximately 10 percent of more than one million students are placed in a secondary education institution based on their preferences. The purpose…

Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

This paper investigates differences in students having various scores when designing controlled experiments in two types of scientific inquiry tasks (a fair test and an exhaustive test). We measure temporal features of preparation time and execution time, which reflect respectively the process of question understanding and answer planning and that…

Pandemic-related policies are typically developed by districts and translated to all schools for implementation. Understanding the degree to which the pandemic impacted school-level performance would provide additional perspective for researchers looking to help district and school officials move forward. The main purpose of this study is to…

Graduating high school seniors who are college and career ready has become a focal point of our nation. The Advancement Via Individual Determination (AVID) program has been preparing college and career ready students who are first generation college-going students, from subgroups traditionally underrepresented in higher education, and from…

Sequence of contextual information refers to the order of descriptions involved in the context component of items, such as sequence of events, sequence of intention and action, and sequence of effect and cause. To build on prior findings on how different sequences of contextual information could influence student test scores, we used eye tracking…

With only 34% of 8th grade students earning a rating of proficient or higher in science education (from the 2011 National Assessment of Education Progress data), much work is needed in our classrooms to achieve the new more rigorous performance expectations found in the "Next Generation Science Standards." For decades, researchers have…

Assessing Opportunities to Learn (OTL) implies the measurement of different aspects of the curricular implementation in the classrooms, such as the contents that the teacher selects for the course and the time of exposure and the frequency of the tasks proposed. Based on recent studies that demonstrate the influence of this curricular dimension on…