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Dunn, Karee E.; Skutnik, Anne; Patti, Christine; Sohn, Brian – Action in Teacher Education, 2019
The purpose of this qualitative study was to explore how pre-service teachers perceive, understand, and feel about Data-driven decision making (DDDM), as well as the impact of targeted, persuasive instruction on those constructs. According to conceptual change theory, learners sometimes hold knowledge, feelings, and beliefs that may be…
Descriptors: Attitude Change, Data Use, Preservice Teachers, Student Attitudes
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Nelson, Randy B.; Yusef, Kideste Mariam; Cooper, Adrienne – Scholarship and Practice of Undergraduate Research, 2019
Bethune-Cookman University's Center for Undergraduate Research Excellence has operated a summer research program since 2014. An interdisciplinary team of faculty mentors and student research fellows examined variables impacting juvenile delinquency and risk of recidivism within Florida, using a database of more than 64,000 youth who aged out of…
Descriptors: Summer Programs, Interdisciplinary Approach, Research Training, Black Colleges
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Barkaoui, Khaled – Studies in Second Language Acquisition, 2019
When responding to a writing task, writers spend a significant amount of their time not writing. These periods of physical inactivity, or pauses, during writing provide observable and measurable cues as to when, where, and how long writers halt to plan and/or revise their texts. Consequently, examining writers' pausing patterns can provide…
Descriptors: Writing Processes, Task Analysis, Second Language Learning, Language Proficiency
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Bierenstiel, Matthias; Snow, Kathy – Journal of Chemical Education, 2019
The Periodic Table of the Elements (PTE) is arguably one of the most central topics in chemistry. This article provides a critical review of current teaching practices of the PTE to high-school students and undergraduate university students. It also provides a new teaching model, the "periodic universe", for understanding of the PTE…
Descriptors: Chemistry, Science Instruction, Teaching Methods, High School Students
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Wu, Fati; Lai, Song – Distance Education, 2019
Open, flexible and distance learning has become part of mainstream education in China. Using a blended learning program in a Chinese high school as the case, this study adopted data-mining approaches to establish predictive models using personality traits. Results showed that, for students with high OE and low extraversion, and students who are…
Descriptors: Personality Traits, Learning Analytics, Foreign Countries, At Risk Students
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Herodotou, Christothea; Rienties, Bart; Boroowa, Avinash; Zdrahal, Zdenek; Hlosta, Martin – Educational Technology Research and Development, 2019
By collecting longitudinal learner and learning data from a range of resources, predictive learning analytics (PLA) are used to identify learners who may not complete a course, typically described as being at risk. Mixed effects are observed as to how teachers perceive, use, and interpret PLA data, necessitating further research in this direction.…
Descriptors: Prediction, Learning Analytics, Teacher Role, Teacher Attitudes
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Mello, P. S.; Natale, C. C.; Trivelato, S. L. F.; Marzin-Janvier, P.; Vieira, L. Q.; Manzoni-de-Almeida, D. – Biochemistry and Molecular Biology Education, 2019
This article examines student engagement in an inquiry-based learning activity, planned to provide students with elements in the social, epistemic, and conceptual dimensions related to the scientific practice in immunology. The activity was applied to 39 groups of students enrolled in immunology or biochemistry courses in a public university in…
Descriptors: Science Instruction, Inquiry, Learning Activities, Epidemiology
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Ouyang, Liming; Zhang, Huizhan; Zhang, Xuexin; Wu, Haizhen – Biochemistry and Molecular Biology Education, 2019
Genomics is a core course for bioscience-majored undergraduates in many universities. However, the teaching of genomics faces many challenges such as the need for rapid updating of related knowledge, content overlap between genomics and molecular biology, lack of motivation of students in the traditional passive classroom-learning model, the…
Descriptors: Genetics, Science Instruction, Majors (Students), Undergraduate Students
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Torres, Vasti; Jones, Susan R.; Renn, Kristen – Journal of College Student Development, 2019
This essay advances discussion of the evolution of student development theory as foundational knowledge for student affairs practice and the role theoretical consensus plays in the application of theory to student affairs practice. We located our discussion within the context of student affairs as a low-consensus field and address 2 related…
Descriptors: Student Personnel Services, Student Development, Theory Practice Relationship, Higher Education
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Rosmansyah, Yusep; Achiruzaman, Mohamad; Hardi, Ariq Bani – Journal of Information Technology Education: Research, 2019
Aim/Purpose: This research proposed a 3D multiuser virtual learning environment (3DMUVLE) educational game design framework by combining ATMSG, ADDIE, E-Simulation, and 3D Open Simulator Technology Architecture. This paper focused on a case study of online training for food crops productivity data surveys. Background: The conventional online…
Descriptors: Virtual Classrooms, Educational Games, Computer Simulation, Data Collection
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Orchard, Ryan K. – Journal of Educational Technology Systems, 2019
Learning management systems (LMS) allow for a variety of ways in which online multiple-choice assessments ("tests") can be configured, including the ability to allow for multiple attempts and options for which of and how the attempts will count. These options are usually chosen according to the instinct of the instructor; however, LMS…
Descriptors: Integrated Learning Systems, Data Use, Electronic Learning, Assignments
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Amiraullt, Ray J. – Quarterly Review of Distance Education, 2019
The educational setting has been the backdrop for numerous debates as far back as recorded history. Today's educational setting, however, contains technological elements so advanced that they by their very nature bring with them a series of highly significant implications which educators have never before been required to address. These issues…
Descriptors: Educational Technology, Technology Uses in Education, Ownership, Privacy
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van Geel, Marieke; Keuning, Trynke; Visscher, Adrie; Fox, Jean-Paul – Leadership and Policy in Schools, 2019
School leaders are assumed to be important for the implementation of data-based decision making (DBDM), but little is known about changes in leadership during this implementation. Educational leadership was measured before, during, and after a two-year, school-wide DBDM intervention in 96 primary schools. Advanced analysis techniques were applied:…
Descriptors: Instructional Leadership, Data Analysis, Intervention, Decision Making
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Cohen, Anat; Shimony, Udi; Nachmias, Rafi; Soffer, Tal – British Journal of Educational Technology, 2019
This study explores and characterizes learners' participation patterns in MOOC forums, as well as the factors that correlate with learners' participation. Educational data mining and learning analytics methods were used to retrieve and analyze the learners' interpersonal interaction data, which had accumulated in the Coursera log files. The…
Descriptors: Online Courses, Student Participation, Correlation, Mass Instruction
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Schildkamp, Kim; Smit, Maaike; Blossing, Ulf – Scandinavian Journal of Educational Research, 2019
Schools need support in the use of data. To provide this support, a data team intervention was developed. A prior study conducted in the Netherlands showed that several factors can enable or hinder the work of data teams. The current replication study focuses on the factors influencing data use in data teams and the perceived effects of the data…
Descriptors: Foreign Countries, Professional Development, Information Utilization, Evidence Based Practice
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