When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…

Spatial analytics receive increased attention in educational data mining. A critical issue in stop detection (i.e., the automatic extraction of timestamped and located stops in the movement of individuals) is a lack of validation of stop accuracy to represent phenomena of interest. Next to a radius that an actor does not exceed for a certain…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

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…

We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…

Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…

This study examined the validity of data collected from a novel online story retell task. The task was specifically designed for use by junior school teachers with the support of speech-language therapists or literacy specialists. The assessment task was developed to monitor children's oral language progress in their first year at school as part…

This study examined the effectiveness of the iPad app Mathspace on high school students' algebra computation and skill maintenance. The participants in this study were four ninth grade students enrolled in beginning algebra at a large, urban high school. All four students were struggling to obtain grade-level algebra skills and were reported by…

This article focuses on qualitative self-report data from a mixed-methods study which investigated Grade 5 and 6 (n = 274), 11-12-year-old, Irish-medium (IM) immersion students' improvement in linguistic accuracy in response to an explicit-inductive approach to form-focused instruction (FFI). A series of typographically enhanced PowerPoint slides…

This article presents results from an initial investigation of Greek oral reading fluency and prosody. Although currently held perspectives consider reading the product of reading decoding and reading comprehension, there is enough evidence (both Greek and foreign) to suggest that other variables may affect reading, as well. Such variables include…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…