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Militello, Matthew; Tredway, Lynda; Hodgkins, Lawrence; Simon, Ken – Journal of Educational Administration, 2021
Purpose: The purpose of this study was to explore the utility of a virtual reality (VR) classroom experience for improving the capacity of instructional leaders. Specifically, school leaders used VR to build their classroom observation and analysis skills to prepare to have more effective post-observation conversations with teachers. The authors…
Descriptors: Computer Simulation, Principals, Professional Development, Instructional Leadership
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Floress, Margaret T.; Zoder-Martell, Kimberly A.; Beaudoin, Melissa M.; Yehling, Zachary R. – Preventing School Failure, 2021
Few studies have examined teachers' natural use of praise and reprimand in the absence of training, possibly due to the challenges of live data collection. This study sought to determine the feasibility of using technology to examine teachers' use of praise and reprimand during class-wide and small group instruction in four elementary classrooms.…
Descriptors: Positive Reinforcement, Negative Reinforcement, Small Group Instruction, Large Group Instruction
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Phillips, Sarah F.; Ferguson, Ronald F.; Rowley, Jacob F. S. – Educational Assessment, 2021
School systems are increasingly incorporating student perceptions of teaching effectiveness into educator accountability systems. Using Tripod's 7Cs™ Framework of Teaching Effectiveness, this study examines key issues in validating student perception data for use in this manner. Analyses examine the internal structure of 7Cs scores and the extent…
Descriptors: Teacher Effectiveness, Evaluation Methods, Scores, Teacher Evaluation
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Karakose, Turgut; Demirkol, Murat – Educational Process: International Journal, 2021
Background/purpose: The current study aims to analyze the thematic structures and trends of scientific publications that examine the relationship between the COVID-19 pandemic and education, while presenting a roadmap for future research on this topic. Materials/methods: The data were obtained from the Web of Science Core Collection (WoSCC)…
Descriptors: Educational Research, Educational Trends, COVID-19, Pandemics
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Levin, Nathan A. – Journal of Educational Data Mining, 2021
The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
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Jin, Sung-Hee – IEEE Transactions on Learning Technologies, 2021
Participation dashboards in online discussions are learning support tools that can have a positive effect on learners' learning outcomes and satisfaction levels, but their effectiveness differs according to how learners recognize and interpret them. However, there is a lack of research investigating the effectiveness of visualization methods…
Descriptors: Asynchronous Communication, Discussion, Computer Mediated Communication, Peer Relationship
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Ulatowski, Joseph; Walker, Ruth – Educational Philosophy and Theory, 2021
A cardinal rule of academic research with human participants is to protect their confidentiality. While there are limits to confidentiality, universities and researchers will make strenuous efforts to protect the identity of participants. This is especially important where they are at risk of serious harm if confidentiality is breached. Yet, some…
Descriptors: Moral Issues, Failure, Universities, Researchers
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
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Delen, Ibrahim; Krajcik, Joseph – Research in Science Education, 2017
The use of mobile devices is increasing rapidly as a potential tool for science teaching. In this study, five educators (three middle school teachers and two museum educators) used a mobile application that supported the development of a driving question. Previous studies have noted that teachers make little effort to connect learning experiences…
Descriptors: Museums, Handheld Devices, Teacher Collaboration, Science Instruction
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Amigud, Alexander; Arnedo-Moreno, Joan; Daradoumis, Thanasis; Guerrero-Roldan, Ana-Elena – International Review of Research in Open and Distributed Learning, 2017
This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…
Descriptors: Data Collection, Data Analysis, Integrity, Electronic Learning
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Liu, Sanya; Hu, Zhenfan; Peng, Xian; Liu, Zhi; Cheng, H. N. H.; Sun, Jianwen – International Journal of Distance Education Technologies, 2017
In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Educational Research
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Belt, Aino; Belt, Pekka – Educational Research, 2017
Background: Efficient classroom management and adequate discipline are major issues for teachers in schools worldwide, with the guiding of students' behaviour as one of the primary challenges. Teachers' knowledge, skills, attitudes and behaviour play central roles in the appropriate handling of classroom disturbances. Purpose: The purpose of this…
Descriptors: Foreign Countries, Home Economics, Teacher Attitudes, Classroom Techniques
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Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
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Lynch, Collin F. – Theory and Research in Education, 2017
Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…
Descriptors: Data Analysis, Data Collection, Privacy, Evaluation Methods
National Centre for Vocational Education Research (NCVER), 2017
NCVER's latest strategic plan outlines the vision and mission, and 7 strategic objectives and interrelated actions, that will direct company activities for the next 3 years. It also details the values that underpin our culture, our commitment to quality and integrity, measures of success against the objectives, and principles of practice and…
Descriptors: Strategic Planning, Vocational Education, Interviews, Stakeholders
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