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Mert Sen; Sevval Nur Sen; Tugrul Gökmen Sahin – Shanlax International Journal of Education, 2023
Today, the use of software in qualitative research analysis is rapidly becoming widespread among researchers. Researchers manage large data sets using features such as editing data, transcribing, creating codes, and searching within data. However, while the data analysis uses software in a format, the analysis of the essence of the data is done by…
Descriptors: Artificial Intelligence, Computer Software, Qualitative Research, Data Analysis
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Corrie Wilder; Shannon Calderone – Impacting Education: Journal on Transforming Professional Practice, 2025
This study explores the integration of generative artificial intelligence (AI) into qualitative research within a higher education context. Through a collaborative self-study, a doctoral candidate and their dissertation supervisor examined the application of Google's Gemini 1.5 to analyze interview data from a dissertation of practice (DiP)…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
Schumacher, Clara; Ifenthaler, Dirk – International Association for Development of the Information Society, 2016
In higher education settings more and more learning is facilitated through online learning environments. To support and understand students' learning processes better, learning analytics offers a promising approach. The purpose of this study was to investigate students' expectations toward features of learning analytics systems. In a first…
Descriptors: College Students, Expectation, Qualitative Research, Interviews
Gray, Shaun L. – ProQuest LLC, 2017
Despite research and practitioner articles outlining the importance information technology disaster plans (ITDRPs) to organizational success, barriers have impeded the process of disaster preparation for Burlington County New Jersey school districts. The purpose of this explanatory qualitative case study was to understand how technology leader…
Descriptors: County School Districts, Information Technology, Technology Uses in Education, Emergency Programs
Cabellon, Edmund T. – ProQuest LLC, 2016
The student affairs profession is at a crossroads (Torres & Walbert, 2010) given digital technology's growth and the academy's administrative expansion (Bowen, 2013). Student affairs administrators must simultaneously respond to digital technology's implications in students' lives (Kirschner & Karpinski, 2010) and to new state and federal…
Descriptors: Student Personnel Services, Student Personnel Workers, Administrators, Technology Uses in Education
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Waseem, Kainat; Kazmi, Hasnain Alam; Qureshi, Ovais Hussain – Journal of Education and Practice, 2017
On this research, the traditional education system of Pakistan has been analyzed in comparison to international modern education system with 3D printing technology. Also how this technology results in revolutionizing current education system and its future aspects. The study adopted semi-structured interviews to solicit an understanding of…
Descriptors: Foreign Countries, Educational Innovation, Computer Peripherals, Printing
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Frischemeier, Daniel; Biehler, Rolf – Statistics Education Research Journal, 2018
Group comparisons offer students opportunities to reason about many fundamental statistical concepts like center, variation, or distribution. When doing such activities using large, real datasets, technology becomes an essential tool for exploring the data. With its large variety of features and its user-friendly handling, TinkerPlots™--as a…
Descriptors: Graphs, Teaching Methods, Educational Technology, Technology Uses in Education
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Mackay, Hannah; Strickland, Martha J. – Middle Grades Review, 2018
As the United States public school classrooms encounter notable shifts in student demographics and increased access to technology, teachers face the dual challenges of cultural and digital differences as they attempt to build relationships with students and develop responsive and relevant instruction. Framed by culturally responsive teaching…
Descriptors: Culturally Relevant Education, Student Developed Materials, Video Technology, Technology Uses in Education
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Gurevich, Irina; Stein, Hana; Gorev, Dvora – Computers in the Schools, 2017
This research traced changes in choices of technological tools and attitudes toward technology use among novice mathematics teachers at three stages of their professional development: as pre-service teachers, a year later, and in their work as novice teachers. At each stage, the participants were required to evaluate the benefits of technology use…
Descriptors: Foreign Countries, Faculty Development, Beginning Teachers, Mathematics Teachers
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Kay, Robin; Benzimra, Daniel; Li, Jia – Journal of Educational Computing Research, 2017
Previous research on distractions and the use of mobile devices (personal digital assistants, tablet personal computers, or laptops) have been conducted almost exclusively in higher education. The purpose of the current study was to examine the frequency and influence of distracting behaviors in Bring Your Own Device secondary school classrooms.…
Descriptors: Foreign Countries, Influence of Technology, Attention Control, Handheld Devices
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Siadaty, Melody; Gaševic, Dragan; Hatala, Marek – Journal of Learning Analytics, 2016
To keep pace with today's rapidly growing knowledge-driven society, productive self-regulation of one's learning processes are essential. We introduce and discuss a trace-based measurement protocol to measure the effects of scaffolding interventions on self-regulated learning (SRL) processes. It guides tracing of learners' actions in a learning…
Descriptors: Metacognition, Learning Processes, Intervention, Technology Uses in Education
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Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – Statistics Education Research Journal, 2017
Connecting data and chance is fundamental in statistics curricula. The use of software like TinkerPlots can bridge both worlds because the TinkerPlots Sampler supports learners in expressive modeling. We conducted a study with elementary preservice teachers with a basic university education in statistics. They were asked to set up and evaluate…
Descriptors: Elementary School Teachers, Preservice Teachers, Teaching Methods, Computer Software
Bertram, Mary – ProQuest LLC, 2017
The purpose of this qualitative descriptive case study was to understand how online undergraduate math instructors perceive student learning in the online learning environment. With significantly higher attrition rates in online math courses, researchers should seek to identify instructional elements that could potentially lead to increased…
Descriptors: College Faculty, Teacher Attitudes, Undergraduate Study, Mathematics Instruction
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Stephens, A. Lynn; Pallant, Amy; McIntyre, Cynthia – International Journal of Science Education, 2016
Deep-sea research is rarely available to undergraduate students. However, as telepresence technology becomes more available, doors may open for more undergraduates to pursue research that includes remote fieldwork. This descriptive case study is an initial investigation into whether such technology might provide a feasible opportunity for…
Descriptors: Undergraduate Students, Student Research, Scientific Research, Oceanography
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