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Prasoon Patidar; Tricia J. Ngoon; Neeharika Vogety; Nikhil Behari; Chris Harrison; John Zimmerman; Amy Ogan; Yuvraj Agarwal – Journal of Learning Analytics, 2024
Classroom sensing systems can capture data on teacher-student behaviours and interactions at a scale far greater than human observers can. These data, translated to multi-modal analytics, can provide meaningful insights to educational stakeholders. However, complex data can be difficult to make sense of. In addition, analyses done on these data…
Descriptors: Learning Analytics, Classroom Observation Techniques, Data Analysis, Student Behavior
Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
Constructing Theoretically Informed Measures of Pause Duration in Experimentally Manipulated Writing
Sophie Hall; Veerle M. Baaijen; David Galbraith – Reading and Writing: An Interdisciplinary Journal, 2024
This paper argues that traditional threshold-based approaches to the analysis of pauses in writing fail to capture the complexity of the cognitive processes involved in text production. It proposes that, to capture these processes, pause analysis should focus on the transition times between linearly produced units of text. Following a review of…
Descriptors: Writing (Composition), Cognitive Processes, Writing Processes, College Students
Woolverton, Genevieve Alice; Pollastri, Alisha R. – Educational Measurement: Issues and Practice, 2021
Within classrooms, psychologists and teachers use direct behavior observation methods, systematic behavior observations (SBOs) and direct behavior ratings (DBRs), to gather information about students' behaviors for the purposes of making decisions related to diagnosis and classroom management or behavioral feedback respectively. Observers use SBOs…
Descriptors: Student Behavior, Classroom Observation Techniques, Behavior Rating Scales, Behavior Patterns
Joanna Clifton-Sprigg; Jonathan James – British Educational Research Journal, 2025
Using newly released detailed data on absence from school, we find a 'Friday effect'--children are much less likely to attend schools in England on Fridays. We use daily level data across the whole of England and find that this pattern holds for different schools and for different types of absence, including illness-related authorised and…
Descriptors: Foreign Countries, Attendance Patterns, Student Behavior, Attendance
Knox, Jeremy; Williamson, Ben; Bayne, Sian – Learning, Media and Technology, 2020
This paper examines visions of 'learning' across humans and machines in a near-future of intensive data analytics. Building upon the concept of 'learnification', practices of 'learning' in emerging big data-driven environments are discussed in two significant ways: the "training" of machines, and the "nudging" of human…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Man Machine Systems
Eaton, Sarah Elaine – Online Submission, 2020
Purpose: This report highlights ways in which race-based data can be used to combat systemic racism in matters relating to academic and non-academic and student misconduct. Methods: Information synthesis of available information relating to race-based data and student conduct. Results: A summary and synthesis of how and why race-based data can be…
Descriptors: Data Collection, Minority Group Students, Racial Bias, Student Behavior
Bates, Agnieszka – Critical Studies in Education, 2023
Growing societal concern about a crisis in the wellbeing of young people has prompted a range of responses from governments and corporations, predicated on an ideal of the resilient, self-reliant individual. Behavioural economists, data scientists and educational technology companies now offer a variety of psychological interventions based on…
Descriptors: Well Being, Psychometrics, Interpersonal Relationship, Social Emotional Learning
Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Rodriguez, Luis A.; Welsh, Richard O. – AERA Open, 2022
The school discipline literature has expanded rapidly in recent decades, yet the conceptualization and measurement of school discipline patterns remains overlooked. In this paper, we present a comprehensive analytic framework to examine school discipline patterns that encompasses school-level metrics that capture the prevalence and disparity in…
Descriptors: Discipline, Outcomes of Education, Incidence, Expulsion
Koegel, Robert L. – Journal of Positive Behavior Interventions, 2018
This article focuses on an analysis of trends in the "Journal of Positive Behavorial Interventions" ("JPBI") since its inception. The primary emphasis is on the variables that contributed to the origin of the journal. Key researchers and other professionals felt that there was a need for a new field (with a new journal) in…
Descriptors: Positive Behavior Supports, Intervention, Student Behavior, Behavior Problems
Thoutenhoofd, Ernst D. – Studies in Philosophy and Education, 2018
Like other parts of the social system, education is becoming an information-driven venture: data technologies pervade all levels of the system. This datafication of education seems to take place alongside a general turn to learning that Gert Biesta has called learnification: a progressively singular focus on the manipulable features of individual…
Descriptors: Information Technology, Data Analysis, Learning Processes, Intervention
Manolev, Jamie; Sullivan, Anna; Slee, Roger – Learning, Media and Technology, 2019
This paper critically examines the ways in which ClassDojo is altering the disciplinary landscape in schools through the datafication of discipline and student behaviour. ClassDojo is one of the most popular and successful educational technologies and is used internationally. It is a school-based social media platform that incorporates a gamified…
Descriptors: Discipline, Student Behavior, Educational Technology, Technology Uses in Education
Gage, Nicholas A.; Beahm, Lydia; Kaplan, Rachel; MacSuga-Gage, Ashley S.; Lee, Ahhyun – Beyond Behavior, 2020
The Positive Behavioral Interventions and Supports (PBIS) framework is currently implemented in more than 25,000 schools across the globe. Its implementation has demonstrated positive impacts on a number of behavioral and academic outcomes. A growing evidence base has found that PBIS has been particularly effective at reducing both in- and…
Descriptors: Student Behavior, Behavior Problems, Positive Behavior Supports, Intervention
Orchard, Ryan K. – Journal of Educational Technology Systems, 2019
Learning management systems (LMS) allow for a variety of ways in which online multiple-choice assessments ("tests") can be configured, including the ability to allow for multiple attempts and options for which of and how the attempts will count. These options are usually chosen according to the instinct of the instructor; however, LMS…
Descriptors: Integrated Learning Systems, Data Use, Electronic Learning, Assignments