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Direct linkLydia P. Gleaves; David A. Broniatowski – Cognitive Research: Principles and Implications, 2024
As they become more common, automated systems are also becoming increasingly opaque, challenging their users' abilities to explain and interpret their outputs. In this study, we test the predictions of fuzzy-trace theory--a leading theory of how people interpret quantitative information--on user decision making after interacting with an online…
Descriptors: Intervention, Automation, Decision Making, Internet
Jillian Reeves – Urban Review: Issues and Ideas in Public Education, 2025
This article presents a new approach to understanding higher rates of punitive discipline utilized against Black students and in Black schools by combining the theoretical construct of antiblackness with Robert Emerson's last resort sanctions to create the framework of Antiblackness in Last Resort Sanctions. This article is the first to apply last…
Descriptors: Racism, Discipline, Discipline Policy, Discipline Problems
Theo van der Zee – International Studies in Catholic Education, 2025
Societal developments and phenomena such as diversity, secularisation, individualisation and the marketisation of education challenge Catholic schools in their striving for good education. Issues related to these developments and phenomena put their distinctive articulation and interpretation of values and ethical commitments to the test. It is by…
Descriptors: Catholic Schools, Educational Quality, Social Change, Intervention
Carla Bang; Kelly Carroll; Niyati Mistry; Justin Presseau; Natasha Hudek; Sezgi Yanikomeroglu; Jamie C. Brehaut – Health Education & Behavior, 2025
Misinformation hinders the impact of public health initiatives. Efforts to counter misinformation likely do not consider the full range of factors known to affect how individuals make decisions and act on them. Implementation science tools and concepts can facilitate the development of more effective interventions against health misinformation by…
Descriptors: Misinformation, Scientific Concepts, Decision Making, Health Behavior
Jihyun Rho; Martina A. Rau – Educational Psychology Review, 2025
Misleading data visualizations have become a significant issue in our information-rich world due to their negative impact on informed decision-making. Consequently, it is crucial to understand the factors that make viewers vulnerable to misleading data visualizations and to explore effective instructional supports that can help viewers combat the…
Descriptors: Visual Aids, Decision Making, Data Use, Deception
Annelise Mennicke; Jessamyn Bowling; Erika Montanaro; Madi Williams; Hannah Carlson; Victoria McClare; Erin A. Meehan; Jasmine Temple; Bridget N. Jules; Anvi Tirunagari; Neha Kissler; Phoebe Pruneda; Keshawn S. Mathews; Gabrielle Haley; Michael J. Brienzo; Iris F. McMillan; Anna Yoder; Casey Mesaeh; Christopher Correia; Sarah McMahon – Journal of American College Health, 2025
Objective: The study aimed to identify phases of bystander intervention (BI) for problematic alcohol use (PAU) among college students. Participants: Twenty focus groups and nine interviews were conducted. Methods: Transcripts were thematically analyzed. Results: The phases of the Bystander Intervention for Problematic Alcohol Use Model (BIPAUM)…
Descriptors: Intervention, Audiences, Alcohol Abuse, College Students
Alexandra Lee; Meetal Shah; Justin Long – Society for Research on Educational Effectiveness, 2024
An extensive number of studies evaluating educational interventions are conducted and disseminated through peer-reviewed articles and conference presentations annually, but there is limited uptake of research among key stakeholders--educators and administrators (henceforth, practitioners; Farley-Ripple et al, 2018; Hollands et al., 2019; Slavin,…
Descriptors: Program Evaluation, Educational Technology, Intervention, Evidence Based Practice
Noelle Brown; Sara Nurollahian; Eliane S. Wiese – ACM Transactions on Computing Education, 2025
While there have been many calls for teaching ethics and responsible computing, it is unclear how responsible computing instruction and technical learning interact. Some instructors even hesitate to include ethics in their courses, fearing it might distract students from learning technical computing content. An approach called…
Descriptors: Teaching Methods, Computer Science Education, Intervention, Ethics
Jessica R. Toste; Sally K. Fluhler; Emily A. Farris; Brennan W. Chandler – Intervention in School and Clinic, 2025
Students with reading disabilities require instruction and intensive intervention targeted to their current learning needs. Through data-based instruction, educators can monitor student's performance and make adjustments to instruction to better address student needs using both progress monitoring and diagnostic assessment. This article provides…
Descriptors: Reading Fluency, Reading Difficulties, Students with Disabilities, Intervention
Peer reviewedSean C. Austin; Kent McIntosh; Keith Smolkowski; Maria Reina Santiago-Rosario; Stacy L. Arbuckle; Nicole E. Barney – Grantee Submission, 2024
Following a randomized controlled trial that showed effectiveness of an equity-centered positive behavioral interventions and supports (PBIS) professional development intervention on student discipline in elementary schools, we studied the extent to which the intervention had differential effects on individual teachers' use of exclusionary…
Descriptors: Positive Behavior Supports, Discipline, Decision Making, Social Justice
Mario Caracuel González; Alicia Benarroch Benarroch; Teresa Lupión Cobos; Ángel Blanco López – Research in Science Education, 2024
This study addresses the issue of preference for natural versus synthetic products in different contexts, specifically food, medicines, and cosmetics. Participants were 52 students aged 14-15 years from two schools. We analysed the choices and justifications offered by 28 students from one of the schools before and after receiving an instructional…
Descriptors: Adolescents, Preferences, Food, Context Effect
Cheryl Regehr; Marion Bogo; Jane Paterson; Arija Birze; Karen Sewell; Barbara Fallon; Glenn Regehr – Journal of Social Work Education, 2024
Stress experienced during high-risk decision-making may impair performance, but can also be a cue, provoking the move from intuitive and automatic application of expertise to reflective and deliberative approaches. This article reports an exploratory intervention designed to provoke reflection-in-action and, ultimately, to improve practice…
Descriptors: Intervention, Reflection, Decision Making, Anxiety
Elisabeth J. Malone; Kathleen N. Zimmerman – Topics in Early Childhood Special Education, 2025
Noncompliance is a frequently reported challenging behavior for young children. However, many interventions that address noncompliance fail to consider crucial self-advocacy skills that may be jeopardized when compliance is taught in isolation. We examined the noncompliance literature in the context of ethical considerations for young children:…
Descriptors: Compliance (Psychology), Ethics, Young Children, Intervention
Hiroaki Ogata; Changhao Liang; Yuko Toyokawa; Chia-Yu Hsu; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar – Technology, Knowledge and Learning, 2024
This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…
Descriptors: Educational Technology, Instructional Design, Cooperation, Data Use
Marissa J. Filderman; Samantha A. Gesel – TEACHING Exceptional Children, 2024
Data-based decision making (DBDM) is a process of using student data to inform instructional decisions and intensify intervention for students whose data indicate inadequate academic and behavioral progress. Data teams, an important structure for DBDM, are a collaborative group of school faculty who meet to systematically analyze student data,…
Descriptors: Evidence Based Practice, Decision Making, Data Use, Intervention
