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Direct linkKeith C. Radley; Evan H. Dart – Journal of Behavioral Education, 2025
Recent research has indicated that the manner in which single-case data are typically displayed for visual analysis may influence rater decisions regarding the effect of an intervention. Subsequently, researchers have encouraged adherence to a standard assembly for linear graphs in order to control these effects. Others, however, have encouraged…
Descriptors: Graphs, Research Design, Visual Aids, Data Analysis
Kwende, Maurine K. – ProQuest LLC, 2023
Instructional designers make numerous decisions daily to perform their job, for example, what authoring tool to use, what model or strategy to use, and what design process to use to develop learning solutions. Decision-making is important in the field of instructional design. The literature revealed many factors or variables instructional…
Descriptors: Delphi Technique, Expertise, Instructional Design, Decision Making
Download full textKent Anderson Seidel – School Leadership Review, 2025
This paper examines one of three central diagnostic tools of the Concerns Based Adoption Model, the Stages of Concern Questionnaire (SoCQ). The SoCQ was developed with a focus on K12 education. It has been used widely since developed in 1973, in early childhood, higher education, medical, business, community, and military settings. The SoCQ…
Descriptors: Questionnaires, Educational Change, Educational Innovation, Intervention
Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
Robert Shand; Stephen M. Leach; Fiona M. Hollands; Florence Chang; Yilin Pan; Bo Yan; Dena Dossett; Samreen Nayyer-Qureshi; Yixin Wang; Laura Head – Grantee Submission, 2022
We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…
Descriptors: Value Added Models, Data Analysis, Program Evaluation, Program Effectiveness
Robert Shand; Stephen M. Leach; Fiona M. Hollands; Florence Chang; Yilin Pan; Bo Yan; Dena Dossett; Samreen Nayyer-Qureshi; Yixin Wang; Laura Head – American Journal of Evaluation, 2022
We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…
Descriptors: Value Added Models, Data Analysis, Program Evaluation, Program Effectiveness
David B. Spight; Deirdre Mooney; Rachael Orr – NACADA Review: Academic Advising Praxis and Perspectives, 2023
Advising programs for undecided/exploratory students risk reinvention of the wheel through lack of familiarity with existing literature. This lack can also leave the scholar and the practitioner unable to identify potential gaps within the research. Applying the methodological approach of qualitative historiography to literature from 1950 to 2022,…
Descriptors: Academic Advising, Historiography, Decision Making, Risk
Kipfmiller, Kailie J.; Brodhead, Matthew T.; Wolfe, Katie; LaLonde, Kate; Sipila, Emma S.; Bak, M. Y. Savana; Fisher, Marisa H. – Journal of Behavioral Education, 2019
Behavior analysts visually analyze graphs to interpret data in order to make data-based decisions. Though front-line employees implement behavioral interventions on a daily basis, they are not often trained to interpret these data. A clinical decision-making model may aid front-line employees in learning how to interpret graphs. A…
Descriptors: Employees, Intervention, Behavior Modification, Decision Making
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Abboud, Maha; Rogalski, Janine – Canadian Journal of Science, Mathematics and Technology Education, 2021
This study addresses teachers' activity when working with digital technologies (DT) in their classrooms. We build upon a model that considers teaching as managing "open dynamic situations." Within the model, teachers' activity is viewed as diagnosing students' mathematical activity, managing uncertainties due to the characteristics of…
Descriptors: Teaching Methods, Models, Technology Uses in Education, Educational Technology
Qiuyu Zheng; Zengzhao Chen; Mengke Wang; Yawen Shi; Shaohui Chen; Zhi Liu – IEEE Transactions on Learning Technologies, 2024
The rationality and the effectiveness of classroom teaching behavior directly influence the quality of classroom instruction. Analyzing teaching behavior intelligently can provide robust data support for teacher development and teaching supervision. By observing verbal and nonverbal behaviors of teachers in the classroom, valuable data on…
Descriptors: Teacher Behavior, Teacher Student Relationship, Verbal Communication, Nonverbal Communication
Brann, Kristy L.; Naser, Shereen C.; Clough, Mac – Journal of Educational and Psychological Consultation, 2023
The current study describes the process of a participatory consultation framework, the Participatory Culture Specific Intervention Model (PCSIM), to plan and implement a data-based decision-making framework. The framework integrates proactive and systematic identification of emotional and behavioral needs as well as cognitive psychology techniques…
Descriptors: Consultation Programs, Data Use, Decision Making, Intervention
Tao, Yuan; Liu, Shiqing – Asia Pacific Journal of Education, 2022
While network governance in education has been widely discussed in the literature, research focusing on the behaviours of and interactions between pluralist actors is rare, and the power exercised by China's local governments in network governance is under-researched. This study uses school turnaround, a networking process that involves multiple…
Descriptors: Networks, Governance, School Turnaround, Local Government
Dart, Evan H.; Radley, Keith C. – School Psychology Quarterly, 2018
Single-case data are frequently used in school psychology. In research, single-case designs allow experimenters to provide rigorous demonstrations of treatment effects on a smaller scale and with more precise measurement than traditional group experimental design. In practice, single-case data are used to evaluate the effects of school-based…
Descriptors: Graphs, Psychology, Visual Perception, Data
Lana Shklyar Nenide; Kate Sweeney; Gerard Costa; Neal M. Horen; Robert M. Corso; Jordana Ash, Contributor; Lynette Aytch, Contributor; Julie Betchkal, Contributor; Jean Budd, Contributor; Margo Candelaria, Contributor; Corinne G. Catalano, Contributor; Kimberly P. Diamond-Berry, Contributor; Faith Eidson, Contributor; Brandy Fox, Contributor; Keri Giordano, Contributor; Amy Hunter, Contributor; Harleen Hutchinson, Contributor; Nucha Isarowong, Contributor; Ashley McCormick, Contributor; Kelli McDermott, Contributor; Kaitlin Mulcahy, Contributor; Carmen Rosa Noroña, Contributor; Nichole Paradis, Contributor; Rebecca Parlakian, Contributor; Lindsay J. Pearson, Contributor; Thomas Rendon, Contributor; Julia Sayles, Contributor; Jayne Singer, Contributor; Staci Sontoski, Contributor; Kristin Tenney-Blackwell, Contributor; Mary Louise Hemmeter, Contributor – Brookes Publishing Company, 2025
Infant Mental Health (IMH) and the Pyramid Model (PM) are two frameworks with an important common goal: supporting the mental health and social-emotional well-being of infants, young children and their families. For the first time ever, one book integrates these two frameworks to create a more effective, knowledgeable, and responsive early…
Descriptors: Infants, Models, Mental Health, Diversity Equity and Inclusion
