Longitudinal data analysis has been widely employed to examine between-individual differences in within-individual changes. One challenge of such analyses is that the rate-of-change is only available indirectly when change patterns are nonlinear with respect to time. Latent change score models (LCSMs), which can be employed to investigate the…

Complex research questions often need large samples to obtain accurate estimates of parameters and adequate power. Combining extant data sets into a large, pooled data set is one way this can be accomplished without expending resources. Measurement invariance (MI) modeling is an established approach to ensure participant scores are on the same…

The idea of data-based decision-making (DBDM) at the classroom level is that teachers use assessment data to adapt their instruction to students' individual needs and thus improve students' learning progress. In this study, we first investigate this theoretically assumed DBDM process, and second, we evaluate the effectiveness of teacher support on…

One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that "continuous-time models" are well suited to study the continuously developing constructs of primary interest in the education…

Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in…

Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…

Curriculum-Based Measurement of Reading (CBM-R) is frequently used to monitor instructional effects and evaluate response to instruction. Educators often view the data graphically on a time-series graph that might include a variety of statistical and visual aids, which are intended to facilitate the interpretation. This study evaluated the effects…

This study integrated the multimodal framework of learning analytics (IMFLA) with the concept mapping (Cmap) approach to improve students' vocabulary and reading abilities. A total of 70 participants were divided into 2 classes, Class 1 (experimental) and Class 2 (control), for a 1-year period. Vocabulary and reading tests were implemented 3…

Reading comprehension is often treated as a multidimensional construct. In many reading tests, items are distributed over reading process categories to represent the subskills expected to constitute comprehension. This study explores (a) the extent to which specified subskills of reading comprehension tests are conceptually conceivable to…

As a school-wide framework, Multi-Tiered Systems of Support (MTSS) relies on the prevention and early identification of students at risk of academic failure. Approaches to early identification of students in need of support include the administration of universal screening assessments and the analysis of existing student data such as attendance,…

Selecting assessments for adults who struggle with reading can be difficult because few literacy measures used by reading researchers have been normed on this population, leaving uncertainty regarding the validity of these tests for adult learners. This study focused on the performance of 116 adults reading between the 3rd and 8th grade levels on…

Purpose: The study sought to determine the hierarchical nature of reading skills. Whether reading is a "unitary" or "multi-divisible" skill is still a contentious issue. So is the hierarchical order of reading skills. Determining the hierarchy of reading skills is challenging as item difficulty is greatly influenced by factors…

Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…

This paper shows how an American International School in Vietnam has been using data and Learning Analytics to find out about students' learning from their assessments and how they use these findings to improve, among other areas, the reading skills of their mostly English as an Additional Language (EAL) student population. The source of data…

This study examines the effects of schools' implementation of a new system for testing on student reading. Data on seven Norwegian primary schools were obtained through participant journals and interviews conducted throughout a period of five years. The analyses draw upon Cultural-Historical Activity Theory, especially the framework for expansive…