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Tytler, Russell; Ferguson, Joseph; White, Peta – Learning: Research and Practice, 2020
Increasingly, learning in science and mathematics is considered in terms of induction into the multimodal language practices of the disciplinary community. A strong strand of research in this tradition has involved students being challenged to invent multimodal language forms, and their ideas refined through structured guidance. Often, however,…
Descriptors: Science Instruction, Mathematics Instruction, Inquiry, Teaching Methods
Glazer, Randy – ProQuest LLC, 2019
Employee turnover continues to be discussed as an outcome in Human Resources (HR), but comparatively few studies have examined the relationship between turnover as the independent variable and institutional outcomes. Although the call to HR practitioners has often been made over the past 20 years regarding the importance of tying HR programs and…
Descriptors: Labor Turnover, Employees, Correlation, Human Resources
Bohorquez, Carlos; Marquet, Pascal – International Association for Development of the Information Society, 2019
This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…
Descriptors: Instructional Design, Programming, Conflict, Teaching Methods
Aimee Evan; Olivia Szendey; Kelly Wynveen – WestEd, 2025
This paper reports on a study that adopted a systematic approach to school-level early warning. The study examined areas where research consistently shows schools commonly experience decline: (1) leadership stability; (2) talent management; (3) organizational culture; (4) financial operations; and (5) instructional programming. Rather than relying…
Descriptors: Educational Indicators, Educational Quality, Identification, Prevention
Motz, Benjamin; Busey, Thomas; Rickert, Martin; Landy, David – International Educational Data Mining Society, 2018
Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…
Descriptors: Data Collection, Data Analysis, Enrollment, Higher Education
Boticki, Ivica; Akçapinar, Gökhan; Ogata, Hiroaki – Interactive Learning Environments, 2019
In this paper log data on e-book usage is used as part of a learning analytics approach to generate user models which describe university students' characteristics in multiple dimensions. E-book usage is logged and analysed to extract information on how users use e-books for academic purposes. Two cases contributing to user modelling are…
Descriptors: Electronic Publishing, Data Collection, Data Analysis, Books
Reed, Megan H.; Jenkins, Tom; Kenyon, Lisa – Science Teacher, 2019
Nitrogen- or phosphorus-based fertilizers, used in agriculture, can run off into nearby waterways during periods of heavy rain or high flow and cause harmful blooms (Paerl et al. 2016), low oxygen (Joyce 2000), and decreased biodiversity (Sebens 1994). Studies of the effects wetlands can have on water and habitat quality (Verhoeven and Meuleman…
Descriptors: Natural Resources, Biodiversity, Grade 9, Ecology
Kara J. Beckman; Angeline Gacad; Barbara McMorris – Grantee Submission, 2023
Schools are increasingly turning towards restorative practices as a pathway to building schools with stronger relationships, justice, and equity. While effectiveness studies are increasing, too little attention is focused on evaluating implementation. This resources is for audiences who evaluate implementation of whole school restorative practices…
Descriptors: Program Implementation, Program Evaluation, Discipline, Justice
Culver, K. C.; Harper, Jordan; Kezar, Adrianna – Pullias Center for Higher Education, 2021
A customized guide about liberatory design thinking processes that have been tested within college settings to support changes that enhance equity in policies and practices within institutions. This research is based on case studies of several institutions, including focus group interviews with the campus design teams and an analysis of artifacts.…
Descriptors: Design, Program Design, Colleges, Universities
Wu, Wei; Jia, Fan; Kinai, Richard; Little, Todd D. – International Journal of Behavioral Development, 2017
Spline growth modelling is a popular tool to model change processes with distinct phases and change points in longitudinal studies. Focusing on linear spline growth models with two phases and a fixed change point (the transition point from one phase to the other), we detail how to find optimal data collection designs that maximize the efficiency…
Descriptors: Longitudinal Studies, Data Collection, Models, Change
Morell, Jonathan A. – American Journal of Evaluation, 2019
Project schedules are logic models that focus on the timing of program activities. Value derives from the fact that schedule changes are not random. Why they occur, and how long they last, can reveal information that would not be easily revealed with other approaches to evaluation. Also, using project schedules as logic models forges a strong link…
Descriptors: Scheduling, Program Administration, Models, Logical Thinking
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
Heiden, Kathleen – Journal of Family and Consumer Sciences, 2018
Research is beneficial for student learning in undergraduate curricula. Undergraduate students who actively participate in research develop problem solving skills and learn to think independently. However, with limited faculty resources at many universities, only elite undergraduate students participate in research programs. This paper provides a…
Descriptors: Partnerships in Education, Mentors, Undergraduate Students, Teaching Methods
Avi Feller; Maia C. Connors; Christina Weiland; John Q. Easton; Stacy B. Ehrlich; John Francis; Sarah E. Kabourek; Diana Leyva; Anna Shapiro; Gloria Yeomans-Maldonado – Journal of Research on Educational Effectiveness, 2025
One part of COVID-19's staggering impact on education has been to suspend or fundamentally alter ongoing education research projects. This article addresses how to analyze the simple but fundamental example of a multi-cohort study in which student assessment data for the final cohort are missing because schools were closed, learning was virtual,…
Descriptors: COVID-19, Pandemics, Data Collection, Educational Research
Mimis, Mohamed; El Hajji, Mohamed; Es-saady, Youssef; Oueld Guejdi, Abdellah; Douzi, Hassan; Mammass, Driss – Education and Information Technologies, 2019
The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…
Descriptors: Educational Counseling, Guidance, Educational Research, Data Collection

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