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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Toskin, Katarzyna; Kunene, Niki – Information Systems Education Journal, 2021
Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time…
Descriptors: College Faculty, Data Analysis, Statistics Education, Undergraduate Students
Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
Brueck, Stefan R. – ProQuest LLC, 2017
This inquiry explores Integral Theory's prospective value to assist interpreting student teachers' communicated awarenesses for how they make sense of their own pedagogies, acknowledging student teachers' partial existence within post-secondary teacher education circumstances along with emerging twenty-first century conditions. Accordingly, this…
Descriptors: Student Teacher Attitudes, Reflective Teaching, Teaching Methods, Interviews
Nguyen, Quan; Huptych, Michal; Rienties, Bart – Journal of Learning Analytics, 2018
Extensive research in learning science has established the importance of time management in online learning. Recently, learning analytics (LA) has shed further lights on the temporal characteristics of learning by allowing researchers to capture authentic digital footprints of student learning behaviours. Nonetheless, students' timing of…
Descriptors: Time Management, Online Courses, Educational Technology, Technology Uses in Education
Dogan, Tasin; Yildirim, Sefa – Universal Journal of Educational Research, 2018
With this study, it was aimed at drawing attention to the troubles and problems encountered by the teachers in the presence of various variables regarding the teaching of the history topics in the 7th grade social studies course. At the same time, in order to offer solution suggestions for teaching history topics effectively, we have tried to…
Descriptors: Secondary School Teachers, Teacher Attitudes, Opinions, History Instruction
Chambers, Jennifer; Hausman, Charles – Education Leadership Review of Doctoral Research, 2014
This qualitative comparative case study identified factors that distinguish between high and low-performance on reading achievement in elementary rural Appalachian schools. This study determined the most effective instructional reading strategies, as well as other influential factors, implemented by school districts in the rural Appalachia area…
Descriptors: Elementary School Students, Rural Schools, Reading Achievement, High Achievement
Reynolds, Todd – Studying Teacher Education, 2016
During my English Language Arts methods class, I noticed that my discussion patterns were teacher-focused and in an Initiation-Response-Evaluation format. Because I wanted to model dialogic methods of whole-class discussions for my preservice teachers, I recoiled from this finding and began a self-study using an action research method to examine…
Descriptors: Teacher Educators, Language Arts, Methods Courses, Classroom Communication
Baele, Loren C. – ProQuest LLC, 2017
This multiple methods (Denzin, 1978) study investigated two instructional approaches, traditional module and electronic Problem-Based Learning instruction (e-PBL), used within a middle school engineering classroom focused on the variables of engagement, content knowledge, student self-assessment and teacher assessment of problem solving solutions.…
Descriptors: Middle School Students, Engineering Technology, Problem Solving, Teaching Methods
Brophy, Caroline; Hahn, Lukas – Journal of Statistics Education, 2014
In this paper, we describe an in-class experiment that is easy to implement with large groups of students. The experiment takes approximately 15-20 minutes to run and involves each student completing one of four types of Sudoku puzzles and recording the time it takes to completion. The resulting data set can be used as a teaching tool at an…
Descriptors: Large Group Instruction, Lecture Method, Educational Experiments, Puzzles
Rhoades, Jesse Lee; Woods, Amelia Mays – Journal of Teaching in Physical Education, 2012
This study examined National Board Certified Physical Education Teachers' (NBCPET) instructional practices. Socialization theory guided this study. Data were collected on six NBCPETs using systematic observations and open-ended interviews. Each teacher was observed two full days, with data gathered from eight to 11 lessons for each teacher.…
Descriptors: Grounded Theory, Physical Education, Socialization, Data Analysis
Chiasson, Kari; Terras, Katherine; Smart, Kathy – Journal of College Teaching & Learning, 2015
This qualitative study explores the experiences of 10 faculty members who developed and taught an online course that they had previously taught in a face-to-face classroom. The categories from the data analysis included planning, implementation, and reflection. Within the categories, eight themes emerged from the data. The themes addressed…
Descriptors: Online Courses, Electronic Learning, Educational Change, Teacher Attitudes

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