The application of big data in education sparks debates on its effects. Researchers explore its impact on learning outcomes, with divergent views on neural networks' potential and negative consequences. This study assesses big data's influence on basic literacy skills in music education for 5th graders. Using clustering and k-density analyses,…

Response process validity evidence provides a window into a respondent's cognitive processing. The purpose of this study is to describe a new data collection tool called a whole-class think aloud (WCTA). This work is performed as part of test development for a series of problem-solving measures to be used in elementary and middle grades. Data from…

Recent research underscores the importance of inquiry learning for effective science education. Inquiry learning involves self-regulated learning (SRL), for example when students conduct investigations. Teachers face challenges in orchestrating and tracking student learning in such instruction; making it hard to adequately support students. Using…

We used an unobtrusive approach, keystroke logging, to examine students' cognitive states during essay writing. Based on data contained in the logs, we classified writing process data into three states: text production, long pause, and editing. We used semi-Markov processes to model the sequences of writing states and compared the state transition…

This study investigates the effects of a scenario-based assessment design on students' writing processes. An experimental data set consisting of four design conditions was used in which the number of scenarios (one or two) and the placement of the essay task with respect to the lead-in tasks (first vs. last) were varied. Students' writing…

Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students' processes as they progress through learning…

Research into human decision making (DM) processes from outside of education paint a different picture of DM than current DM models in education. This pilot study assesses the use of critical decision method (CDM)--developed from observations of firefighters' DM -- in the context of primary mathematics teachers' in-class DM. Preliminary results…

Self-regulated learning is an elaborate metacognitive process consisting of an individual's awareness of the thought process, flexibility in one's approach to problem solving, and motivation to persist through obstacles until a goal has been met. Strategies and instructional practices used to develop mathematically proficient thinkers also develop…

These proceedings contain papers of the 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019) held in Šiauliai, Lithuania, June 17-19, 2019. This symposium was organized by the Scientific Methodical Center "Scientia Educologica" in cooperation with the Institute of Education, Šiauliai University. The…

The purpose of this study is to investigate how sixth graders develop inquiry skills to construct explanations in an inquiry-based learning environment. We designed a series of inquiry-based learning activities and identified four inquiry skills that are relevant to students' construction of explanation. These skills include skills to identify…

Using a qualitative approach, this study investigated how the use of GIS technology affected fourth graders' geography learning and understanding of place. For this study, a GIS module was developed and implemented. The data gathering included transcripts from video and audio recordings of classroom instructions, interviews with the students and…

The XX IDEA annual conference has been focused and reflected on different ways and means of meeting various kinds of methodological challenges, new technologies and multi-media developments, newly emerging partnerships and collaboration between emerging sectors on one hand and between the institutions functioning with similar objectives and…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…