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Chia-Yu Hsu; Izumi Horikoshi; Rwitajit Majumdar; Hiroaki Ogata – Educational Technology & Society, 2024
This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…
Descriptors: Habit Formation, Behavior Change, Learning Analytics, Data Interpretation
Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
Rwitajit Majumdar; Huiyong Li; Yuanyuan Yang; Hiroaki Ogata – Educational Technology & Society, 2024
Self-direction skill (SDS) is an essential 21st-century skill that can help learners be independent and organized in their quest for knowledge acquisition. While some studies considered learners from higher education levels as the target audience, providing opportunities to start the SDS practice by K12 learners is still rare. Further, practicing…
Descriptors: 21st Century Skills, Skill Development, Electronic Learning, Physical Activity Level
Reich, Justin; Tingley, Dustin; Leder-Luis, Jetson; Roberts, Margaret E.; Stewart, Brandon M. – Journal of Learning Analytics, 2015
Dealing with the vast quantities of text that students generate in Massive Open Online Courses (MOOCs) and other large-scale online learning environments is a daunting challenge. Computational tools are needed to help instructional teams uncover themes and patterns as students write in forums, assignments, and surveys. This paper introduces to the…
Descriptors: Large Group Instruction, Online Courses, Data Collection, Data Analysis
Kamata, Akihito; Nese, Joseph F. T.; Patarapichayatham, Chalie; Lai, Cheng-Fei – Assessment for Effective Intervention, 2013
The purpose of this article is to demonstrate ways to model nonlinear growth using three testing occasions. We demonstrate our growth models in the context of curriculum-based measurement using the fall, winter, and spring passage reading fluency benchmark assessments. We present a brief technical overview that includes the limitations of a growth…
Descriptors: Individual Differences, Reading Fluency, Curriculum Based Assessment, Correlation
Slattery, Timothy J.; Staub, Adrian; Rayner, Keith – Journal of Experimental Psychology: Human Perception and Performance, 2012
An important question in research on eye movements in reading is whether word frequency and word predictability have additive or interactive effects on fixation durations. A fair number of studies have reported only additive effects of the frequency and predictability of a target word on reading times on that word, failing to show significant…
Descriptors: Eye Movements, Word Recognition, Word Frequency, Reading
Rubenstein, Rheta N.; Thompson, Denisse R. – Mathematics Teaching in the Middle School, 2012
Mathematics is rich in visual representations. Such visual representations are the means by which mathematical patterns "are recorded and analyzed." With respect to "vocabulary" and "symbols," numerous educators have focused on issues inherent in the language of mathematics that influence students' success with mathematics communication.…
Descriptors: Student Attitudes, Symbols (Mathematics), Mathematics Instruction, Visual Stimuli
Slattery, Timothy J.; Angele, Bernhard; Rayner, Keith – Journal of Experimental Psychology: Human Perception and Performance, 2011
In the boundary change paradigm (Rayner, 1975), when a reader's eyes cross an invisible boundary location, a preview word is replaced by a target word. Readers are generally unaware of such changes due to saccadic suppression. However, some readers detect changes on a few trials and a small percentage of them detect many changes. Two experiments…
Descriptors: Sentences, Eye Movements, Human Body, Word Processing
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Dimigen, Olaf; Sommer, Werner; Hohlfeld, Annette; Jacobs, Arthur M.; Kliegl, Reinhold – Journal of Experimental Psychology: General, 2011
Brain-electric correlates of reading have traditionally been studied with word-by-word presentation, a condition that eliminates important aspects of the normal reading process and precludes direct comparisons between neural activity and oculomotor behavior. In the present study, we investigated effects of word predictability on eye movements (EM)…
Descriptors: Video Technology, Sentences, Reading, Eye Movements
Nebraska Univ., Lincoln. Dept. of Adult and Continuing Education. – 1973
The teaching of reading is an important aspect of the total Adult Basic Education (ABE) program. The basic problem was: How is the teaching of reading in Nebraska being carried out? In trying to answer this question the document lays the groundwork by opening with a review of related literature and then discusses in detail the type of data…
Descriptors: Adult Basic Education, Adult Reading Programs, Data Analysis, Data Collection
US Department of Education, 2012
This paper describes the District of Columbia's progress in implementing a comprehensive and coherent approach to education reform from the time of application through June 30, 2011. In particular, this report highlights key accomplishments over the reporting period in the four reform areas: standards and assessments, data systems to support…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gains
US Department of Education, 2012
This paper describes Delaware's progress in implementing a comprehensive and coherent approach to education reform from the time of application through June 30, 2011. In particular, it highlights key accomplishments over the reporting period in the four reform areas: standards and assessments, data systems to support instruction, great teachers…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gains
US Department of Education, 2012
This paper describes Florida's progress in implementing a comprehensive and coherent approach to education reform from the time of application through June 30, 2011. In particular, it highlights key accomplishments over the reporting period in the four reform areas: standards and assessments, data systems to support instruction, great teachers and…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gains
US Department of Education, 2012
This paper describe Georgia's progress in implementing a comprehensive and coherent approach to education reform from the time of application through June 30, 2011. In particular, it highlights key accomplishments over the reporting period in the four reform areas: standards and assessments, data systems to support instruction, great teachers and…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gains
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