Large-scale assessments play a key role in education: educators and stakeholders need to know what students know and can do, so that they can be prepared for education policies and interventions in teaching and learning. However, a score from the assessment may not be enough--educators need to know why students got low scores, how students engaged…

Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…

This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…

Background: The proliferation of computer-based learning platforms (CBLPs) has caused an increased focus on understanding how to build scalable systems that optimize learning. Thus, CBLPs often rely on close response questions (e.g., multiple choice questions, "select all that apply," "arrange in the correct order," etc.) for…

Helping students to stay motivated by creating an environment that makes them interact is essential to attaining academic achievement. This action research utilizing mixed methods approach explores the flipped classroom's impact on the students' achievement motivation. Also, a significant focus has been on how students interacted with their…

In response to a decline in the numeracy skills and confidence of first-year biomedical science undergraduate students, a series of quizzes was developed to encourage students to practice their numeracy skills with topic-related problems. The quizzes were created using existing tools in the online learning platform Blackboard (Blackboard, Inc.).…

Learning in the Fourth Industrial Revolution era, especially in mathematics, needs to equip students with life skills that can be used in the future such as critical thinking, problem-solving, literacy, collaboration, decision making, creative thinking, responsibility, and independent learning. This study aims to analyze the effectiveness of the…

In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…

STACK is an online testing system that can automatically assess mathematical formulae. When working with STACK on a smartphone, inputting mathematical formulae is time-consuming; therefore, to solve this problem a mathematical formula input interface for smartphones has been developed based on the flick operation. However, since the time of…

Teachers often rely on the use of a range of open-ended problems to assess students' understanding of mathematical concepts. Beyond traditional conceptions of student open-ended work, commonly in the form of textual short-answer or essay responses, the use of figures, tables, number lines, graphs, and pictographs are other examples of open-ended…

This paper presents a case study conducted by two universities seeking to explore Open Education Resources (OER) in their precalculus course. Students not only gained access to their textbook for free on the first day of class, but also Lumen OHM, an online mathematics assessment platform. The majority of students involved in the study were…

Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…

As most courses turn into distant formats, what are the benefits and hindrances of conducting university math courses using multiple technologies? In this e-learning environment, are content-neutral platforms necessary for teaching and learning in these classes? Specifically, what activities on the Moodle e-learning platform are more effective…

The goal of this study was to further evaluate the impact of IXL Math on math learning outcomes. Using a quasi-experimental design with matched treatment and control groups, this analysis utilized data from 312 public schools in Mississippi during the 2021-2022 school year. The middle school analysis included 272 schools (136 treatment, 136…

Edmentum offers a personalized learning platform called Exact Path. Over the past five years, about 56 schools and districts in Virginia have implemented the program. This quasiexperimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to investigate the efficacy of Exact Path in…