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Er Türküresin, Hafize – International Journal of Curriculum and Instruction, 2021
In the study, it was aimed to examine theses written on value education between 2009 and 2019 in terms of descriptive and methodological features. In this context, 475 theses, which were written between the relevant years and have access, were reached. Within the scope of the research, the criterion-sampling method was used while determining…
Descriptors: Values Education, Social Values, Moral Values, Masters Theses
Joseph G. Donelan; Yu Liu – Advances in Accounting Education: Teaching and Curriculum Innovations, 2021
This chapter advocates a teaching approach for the statement of cash flows (SCF) that includes introduction of the SCF early in the curriculum using the accounting equation format, which helps students visualize the cash and accrual activities. We then adapt this accounting equation format to a worksheet model that can be used later in the…
Descriptors: Accounting, Business Education, Teaching Methods, Curriculum Design
National Forum on Education Statistics, 2021
The work of the National Forum on Education Statistics (Forum) is a key aspect of the National Cooperative Education Statistics System (Cooperative System). The Cooperative System was established to produce and maintain, with the cooperation of the states, comparable and uniform education information and data that are useful for policymaking at…
Descriptors: Data Collection, Information Storage, Information Management, Data Use
Qutoshi, Sadruddin Bahadur – Journal of Education and Educational Development, 2018
Phenomenology as a philosophy and a method of inquiry is not limited to an approach to knowing, it is rather an intellectual engagement in interpretations and meaning making that is used to understand the lived world of human beings at a conscious level. Historically, Husserl' (1913/1962) perspective of phenomenology is a science of understanding…
Descriptors: Phenomenology, Philosophy, Inquiry, Hermeneutics
Pardos, Zachary A.; Dadu, Anant – Journal of Educational Data Mining, 2018
We introduce a model which combines principles from psychometric and connectionist paradigms to allow direct Q-matrix refinement via backpropagation. We call this model dAFM, based on augmentation of the original Additive Factors Model (AFM), whose calculations and constraints we show can be exactly replicated within the framework of neural…
Descriptors: Q Methodology, Psychometrics, Models, Knowledge Level
Mittelmeier, Jenna; Edwards, Rebecca L.; Davis, Sarah K.; Nguyen, Quan; Murphy, Victoria L.; Brummer, Leonie; Rienties, Bart – Frontline Learning Research, 2018
Learning analytics has been increasingly outlined as a powerful tool for measuring, analysing, and predicting learning experiences and behaviours. The rising use of learning analytics means that many educational researchers now require new ranges of technical analytical skills to contribute to an increasingly data-heavy field. However, it has been…
Descriptors: Educational Researchers, Educational Research, Data Collection, Data Analysis
Roll, Anne E.; Koehly, Laura M. – Journal of Applied Research in Intellectual Disabilities, 2020
Background: For people with intellectual disabilities (ID), social networks play a key role in facilitating social inclusion, health, and quality of life. This study shows that a multi-informant approach to collecting social network data improves our understanding of the social worlds of people with Down Syndrome (DS). Method: A mixed methods…
Descriptors: Social Networks, Down Syndrome, Measurement Techniques, Data Collection
Jones, Kyle M. L.; Briney, Kristin A.; Goben, Abigail; Salo, Dorothea; Asher, Andrew; Perry, Michael R. – College & Research Libraries, 2020
Universities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains…
Descriptors: Academic Libraries, Learning Analytics, Privacy, Ethics
Doleck, Tenzin; Lemay, David John; Basnet, Ram B.; Bazelais, Paul – Education and Information Technologies, 2020
Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…
Descriptors: Learning Analytics, Prediction, Information Retrieval, Accuracy
Yildiz, Ali – Online Submission, 2020
The purpose of the study is to discuss accurate and effective data collection for qualitative studies. The analysis of the written documents for the study was carried out via the descriptive analysis approach. Many documents reviewed, checked for authenticity, arranged, and organized by field experts can be a source of data, and using these…
Descriptors: Data Collection, Qualitative Research, Accuracy, Documentation
Cate, Leandra; Wetzstein, Lia; Kovacich, Katie – Community College Research Initiatives, 2023
One of the key commitments of the Community College Research Initiatives (CCRI's) STEM Transfer Partnership (STP) program is to transform STEM transfer pathways and improve outcomes for students from low-income backgrounds using student input. Student input is an essential element in institutional transformation for student success but the process…
Descriptors: STEM Education, Student Attitudes, Educational Change, Data Collection
Chang, Hedy N. – Attendance Works, 2023
This brief is the third annual examination of how state attendance policies and practices have evolved since the onset of the COVID-19 pandemic. States can play an essential guiding role in the collection, use and public availability of attendance and chronic absence data. While reporting chronic absence on state report cards is required by the…
Descriptors: Attendance, State Policy, Educational Policy, Data Collection
Thelk, Amy D.; McGraw, Jillian P.; Hanel, Joel – Assessment Update, 2023
Following a set of state meetings held throughout fall 2020, the Virginia Education Assessment Collaborative (VEAC) decided to offer a mini-conference in November 2020 to round out offerings and to buttress conversation around topics of high need and interest to Educator Preparation Providers (EPPs). Leveraging the familiar process of the…
Descriptors: Stakeholders, Conferences (Gatherings), Videoconferencing, Teacher Education Programs
Miller-Rushing, Anica; Hufnagel, Elizabeth – Journal of Science Teacher Education, 2023
In-service teachers of science work with unique content and pedagogical experiences within a changing educational landscape. Understanding teacher agency in these circumstances will help researchers understand the actions that these teachers take. The purpose of this meta-analysis was to review how the agency of K-12 in-service teachers of science…
Descriptors: Elementary Secondary Education, Science Teachers, Professional Autonomy, Educational Research
Izenberg, Maxwell; Brown, Ryan; Siebert, Cora; Heinz, Ron; Rahmattalabi, Aida; Vayanos, Phebe – Field Methods, 2023
In the small town of Sitka, Alaska, frequent and often catastrophic landslides threaten residents. One challenge associated with disaster preparedness is access to timely and reliable risk information. As with many small but diverse towns, who or what is a trustworthy source of information is often contested. To help improve landslide…
Descriptors: Community Involvement, Social Networks, Data Collection, Network Analysis

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