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Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
Kylie E. Hunter; Mason Aberoumand; Sol Libesman; James X. Sotiropoulos; Jonathan G. Williams; Jannik Aagerup; Rui Wang; Ben W. Mol; Wentao Li; Angie Barba; Nipun Shrestha; Angela C. Webster; Anna Lene Seidler – Research Synthesis Methods, 2024
Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…
Descriptors: Integrity, Randomized Controlled Trials, Participant Characteristics, Computer Software
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
Why Explainable AI May Not Be Enough: Predictions and Mispredictions in Decision Making in Education
Mohammed Saqr; Sonsoles López-Pernas – Smart Learning Environments, 2024
In learning analytics and in education at large, AI explanations are always computed from aggregate data of all the students to offer the "average" picture. Whereas the average may work for most students, it does not reflect or capture the individual differences or the variability among students. Therefore, instance-level…
Descriptors: Artificial Intelligence, Decision Making, Predictor Variables, Feedback (Response)
Anna Lagos Kalargiros – ProQuest LLC, 2024
This study sought to investigate, from an empirical standpoint, whether teacher SECs impact classroom management and their well-being. Teachers completed a questionnaire including the Self-Assessing Social and Emotional Instruction and Competencies: A Tool for Teachers (SSEIC) and Professional Quality of Life (ProQOL), as well as were observed…
Descriptors: Teacher Competencies, Social Development, Emotional Development, Classroom Techniques
Gianna Victoria Araujo – ProQuest LLC, 2024
This correlational study examined the predictive roles of decisional and emotional forgiveness on levels of relationship satisfaction among college students in committed, monogamous romantic relationships for at least 6 months. From an initial pool of 120 Biola University undergraduate students, data from a final sample of 90 participants were…
Descriptors: Correlation, Social Desirability, Emotional Response, Intimacy
Abobakr Aljuwaiber – Perspectives: Policy and Practice in Higher Education, 2024
This paper provides an overview of strategic planning's role in enhancing higher education institutions' sense of strategic direction and outlining measurable goals. The study particularly reflects the practical experience of setting up a strategic plan within a community college at a Saudi Arabian university, providing academic insight into…
Descriptors: Program Implementation, Strategic Planning, Universities, Colleges
Pongchanun Luangpaiboon; Chiramet Phinkrathok; Walailak Atthirawong; Pasura Aungkulanon – SAGE Open, 2024
The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with the formulation of faculty development strategies tailored to enhance efficiency while accommodating individual professionals' unique requirements and…
Descriptors: Decision Making, College Faculty, Simulation, Efficiency
Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
Linde Moriau; Jo Angouri – Curriculum Journal, 2024
This paper reports on a model for participatory curriculum development that builds on a 'connected learning communities' (CLC) approach. We describe and analyse the trajectory of six CLC-cases using a framework informed by Social Practice Theory (SPT). The activities we report on took place during the first pilot year (2020-2021) of a…
Descriptors: Curriculum Development, Participative Decision Making, Communities of Practice, Foreign Countries
Muruvvet Demiral-Uzan; Elizabeth Boling – Educational Technology Research and Development, 2024
This qualitative multi-case study explores the exercise and development of the design judgment of eight instructional design (ID) students working on design projects over one semester in graduate programs at four different institutions in the USA. Their design processes were explored through interviews and their design documents using the concepts…
Descriptors: Instructional Design, Decision Making, Graduate Students, Student Attitudes
Seyma Birinci – ProQuest LLC, 2024
The purpose of this study was to explore how teachers engaged in data use for instructional decision making. A grounded theory research design was used to analyze interviews of 10 special education teachers. Special education teachers were asked to complete an online survey and were interviewed with questions to reveal their experiences with…
Descriptors: Individualized Instruction, Decision Making, Data Use, Special Education Teachers
Rosalyn Kelsy Nelson – ProQuest LLC, 2024
The purpose of this qualitative descriptive study was to explore how novice special education teachers describe the influence of collegial emotional, instrumental, informational, and appraisal support in public charter schools on their career decisions in the southwestern region of the United States. House's theory of social support and Vygotsky's…
Descriptors: Special Education Teachers, Beginning Teachers, Collegiality, Decision Making
Stacey Horn Nichols – ProQuest LLC, 2024
Although higher education institutions may be described as forward-thinking in areas such as research, their teaching practices are often perceived as lacking in innovation. This disjunction has led educators, researchers, and policymakers to question the role and implementation of change in higher education contexts and the factors that affect…
Descriptors: Educational Change, Decision Making, Teaching Methods, Teacher Attitudes
Ian Greener – International Journal of Social Research Methodology, 2024
This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…
Descriptors: Qualitative Research, Research Methodology, Comparative Analysis, Research Design

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