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Merminod, Gilles – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2023
Since the nineties, the idea that narratives are essential for an efficient communication has massively spread in management, marketing and politics, supported by the profuse publication of storytelling guides and criticized by a number of social commentators. Nevertheless, little is known about how reflexive activities specific to professional…
Descriptors: Interpersonal Relationship, Story Telling, Business Communication, Personal Narratives
Lu, Kristine; Carlson, Spencer E.; Gerber, Elizabeth M.; Easterday, Matthew W. – Instructional Science: An International Journal of the Learning Sciences, 2023
Most social challenges fall outside of the authority of any single individual and therefore require collective action-coordinated efforts by many stakeholders to implement solutions. Despite growing interest in teaching students to lead collective action, we lack models for how to teach these skills. Collective action ostensibly involves design:…
Descriptors: Models, Change, Student Leadership, Undergraduate Students
Véliz, Daniela; Bernasconi, Andrés; Celis, Sergio; Mella, Monserratt; Miranda, Constanza – Journal of Higher Education Policy and Management, 2023
Universities seeking to establish or expand their research missions in developed countries have at their disposal well-established literature on strategies to foster research capacity in universities. On the contrary, the literature on these processes in the context of developing countries is quite recent and scarce. We offer a descriptive,…
Descriptors: Developing Nations, Foreign Countries, Universities, Capacity Building
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Christie Poteet – New Directions for Student Services, 2023
The Appreciative-Based Change (ABC) Model of Community Engagement focuses on strengthening partnerships and maximizing impact by using an appreciative approach to service-learning while addressing the challenges of community-university partnerships. The model offers phases that identify and leverage unified strengths, assets, and resources to…
Descriptors: Service Learning, Models, Community, Colleges
Xiaona Xia – Interactive Learning Environments, 2023
Effective analysis and demonstration of these data features is of great significance for the optimization of interactive learning environment and learning behavior. Therefore, we take the big data set of learning behavior generated by an online interactive learning environment as the research object, define the features of learning behavior, and…
Descriptors: Learning Strategies, Interaction, Educational Environment, Learning Analytics
O'Rourke, Felicia M. – ProQuest LLC, 2023
Chronic stress and burnout associated with Division I athletics is common and specifically the profession of athletics academic advising at the Division I level has reputed to be, as Meyer (2005) states, "one of the most challenging jobs in higher education." Yet, the topic is under-explored. While roughly one thousand articles are being…
Descriptors: Athletics, Academic Advising, Faculty Advisers, Teacher Burnout
Feldberg, Zachary R. – ProQuest LLC, 2023
Cognitive diagnostic models (CDMs) provide pedagogically relevant information in the form of a student profile of multiple binary categorizations of students into mastery or nonmastery statuses on latent traits called attributes. Federal educational accountability requires accountability measures to designate students into one of at least three…
Descriptors: Accountability, Standards, Cutting Scores, Models
Liang, Qianru; de la Torre, Jimmy; Law, Nancy – Journal of Educational and Behavioral Statistics, 2023
To expand the use of cognitive diagnosis models (CDMs) to longitudinal assessments, this study proposes a bias-corrected three-step estimation approach for latent transition CDMs with covariates by integrating a general CDM and a latent transition model. The proposed method can be used to assess changes in attribute mastery status and attribute…
Descriptors: Cognitive Measurement, Models, Statistical Bias, Computation
Chen, Yinghan; Wang, Shiyu – Journal of Educational and Behavioral Statistics, 2023
Attribute hierarchy, the underlying prerequisite relationship among attributes, plays an important role in applying cognitive diagnosis models (CDM) for designing efficient cognitive diagnostic assessments. However, there are limited statistical tools to directly estimate attribute hierarchy from response data. In this study, we proposed a…
Descriptors: Cognitive Measurement, Models, Bayesian Statistics, Computation
Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John – Educational and Psychological Measurement, 2021
This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates…
Descriptors: Goodness of Fit, Hierarchical Linear Modeling, Computation, Models
Markus Gangl – Sociological Methods & Research, 2025
Rating scales are ubiquitous in the social sciences, yet may present practical difficulties when response formats change over time or vary across surveys. To allow researchers to pool rating data across alternative question formats, the article provides a generalization of the ordered logit model that accommodates multiple scale formats in the…
Descriptors: Rating Scales, Surveys, Responses, Models
Kevin Ng – Education Economics, 2025
This study evaluates techniques to identify high-quality teachers. Since tenure restricts dismissals of experienced teachers, schools must predict productivity and dismiss those expected to perform ineffectively prior to tenure receipt. Many states rely on evaluation scores to guide these personnel decisions without considering other dimensions of…
Descriptors: Identification, Teacher Effectiveness, Teacher Selection, Teacher Evaluation
Carolina Cuéllar; Andrea Horn; Álvaro González; Juan Pablo Queupil – Professional Development in Education, 2025
Capacity-building has been promoted by the central level in Chile, through a reform that resembles school districts, where the intermediate level is intended to provide pedagogical support for schools. However, this has proven to be challenging due to different visions about what capacity-building looks like and how it relates to school…
Descriptors: Capacity Building, Public Education, Foreign Countries, Educational Change
Douglas Kaufman – Literacy, 2025
Writing workshop, as conceived by Donald Graves and other US researchers in the 1980s, positively transformed the writing instruction of many teachers. However, others experienced considerable challenges as they tried to create workshop classrooms. This article examines the three historical conditions that defined workshop: (1) choice, (2) time…
Descriptors: Writing Workshops, Writing Instruction, Models, Program Implementation