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Jeffrey Matayoshi; Shamya Karumbaiah – Journal of Educational Data Mining, 2024
Various areas of educational research are interested in the transitions between different states--or events--in sequential data, with the goal of understanding the significance of these transitions; one notable example is affect dynamics, which aims to identify important transitions between affective states. Unfortunately, several works have…
Descriptors: Models, Statistical Bias, Data Analysis, Simulation
Cintron, Dakota W.; Montrosse-Moorhead, Bianca – American Journal of Evaluation, 2022
Despite the rising popularity of big data, there is speculation that evaluators have been slow adopters of these new statistical approaches. Several possible reasons have been offered for why this is the case: ethical concerns, institutional capacity, and evaluator capacity and values. In this method note, we address one of these barriers and aim…
Descriptors: Evaluation Research, Evaluation Problems, Evaluation Methods, Models
Howard, Natalie-Jane – Online Submission, 2021
Ethnography offers a holistic approach to qualitative researchers in educational contexts and appeals to scholars who wish seek to reveal rich narratives through their immersion in specific domains. This review paper examines the mobilization of the ethnographic research approach reported in studies from two distinctive learning contexts: an…
Descriptors: Ethnography, Research Methodology, Evaluation Research, Qualitative Research
Juan Miguel L. Andres-Bray – ProQuest LLC, 2021
The purpose of this dissertation was to develop and use a platform that facilitates Massive Open Online Course (MOOC) replication research. Replication and the verification of previously published findings is an essential step in the scientific process. Unfortunately, a replication crisis has long plagued scientific research, affecting even the…
Descriptors: MOOCs, Replication (Evaluation), Evaluation Research, Research Design
Boyd, Austin T.; Rocconi, Louis M. – Practical Assessment, Research & Evaluation, 2021
Social Network Analysis (SNA) is a statistical method used to analyze the social structure and interactions among individuals within a network. SNA is used extensively in a number of disciplines such as sociology, geography, and communications research. However, the use of SNA by practitioners and researchers in assessment and evaluation is much…
Descriptors: Social Networks, Network Analysis, Data Analysis, Social Science Research