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Heilmann, Sharon – Networks: An Online Journal for Teacher Research, 2018
This article examines how educational scaffolding was used in a graduate research methods course to encourage student mastery of two qualitative research concepts, interviews and narrative inquiry. Findings suggest that scaffolding resulted in students' mastery of both concepts as well as students' increased attention to quality of interview…
Descriptors: Scaffolding (Teaching Technique), Interviews, Personal Narratives, Inquiry
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Staveley-O'Carroll, James – Journal of Economic Education, 2018
Over the course of one semester, six empirical assignments that utilize FRED are used to introduce students of money and banking courses to the economic analysis required for the conduct of monetary policy. The first five assignments cover the following topics: inflation, bonds and stocks, monetary aggregates, the Taylor rule, and employment.…
Descriptors: Economics Education, Graphs, Assignments, Macroeconomics
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Moltudal, Synnøve; Høydal, Kjetil; Krumsvik, Rune Johan – Designs for Learning, 2020
Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
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Gallagher, Kerry – State Education Standard, 2016
Digital tools are making it easier than ever for teachers to gather and analyze formative data. Paper exit slips can take a classroom teacher upward of an hour to sort and graph after just one day of classes. But now, that same teacher can pose a question out loud to the class and ask students to type answers on their mobile phones and hit send.…
Descriptors: Data Collection, Formative Evaluation, Technology Uses in Education, Handheld Devices
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Gelan, Anouk; Fastré, Greet; Verjans, Martine; Martin, Niels; Janssenswillen, Gert; Creemers, Mathijs; Lieben, Jonas; Depaire, Benoît; Thomas, Michael – Computer Assisted Language Learning, 2018
Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date,…
Descriptors: Data Collection, Data Analysis, Computer Assisted Instruction, Second Language Instruction
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Hampshire, Patricia Korzekwa; Butera, Gretchen D.; Dustin, Timothy J. – Intervention in School and Clinic, 2014
For students with autism, homework time may be especially challenging due to problems in self-organization and difficulties generalizing skills from one setting to another. Although often problematic, homework can provide a valuable context for teaching organizational skills that become essential as students become more independent. By learning to…
Descriptors: Autism, Pervasive Developmental Disorders, Homework, Intervention
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Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H. – Educational Technology & Society, 2018
Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Data Collection
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Smith, Trevor I.; Christensen, Warren M.; Mountcastle, Donald B.; Thompson, John R. – Physical Review Special Topics - Physics Education Research, 2015
We report on several specific student difficulties regarding the second law of thermodynamics in the context of heat engines within upper-division undergraduate thermal physics courses. Data come from ungraded written surveys, graded homework assignments, and videotaped classroom observations of tutorial activities. Written data show that students…
Descriptors: Undergraduate Students, Science Education, College Science, Physics
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Hartnett, Jessica L. – Teaching of Psychology, 2013
The present article describes four free or inexpensive Internet-based activities that can be used to supplement statistics/research methods/general psychology classes. Each activity and subsequent homework assessment is described, as well as homework performance outcome and student opinion data for each activity. (Contains 1 table.)
Descriptors: Internet, Educational Technology, Computer Uses in Education, Teaching Methods
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Rosenblatt, Rebecca; Heckler, Andrew F.; Flores, Katharine – Advances in Engineering Education, 2013
We apply a "tutorial design process", which has proven to be successful for a number of physics topics, to design curricular materials or "tutorials" aimed at improving student understanding of important concepts in a university-level introductory materials science and engineering course. The process involves the identification…
Descriptors: Engineering Education, Science Education, College Students, Introductory Courses
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Zhang, Hangjin; Almeroth, Kevin – Journal of Interactive Learning Research, 2010
Many universities are currently using Course Management Systems (CMSes) to conduct online learning, for example, by distributing course materials or submitting homework assignments. However, most CMSes do not include comprehensive activity tracking and analysis capabilities. This paper describes a method to track students' online learning…
Descriptors: Management Systems, Online Courses, Higher Education, Formative Evaluation
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Wagner, Petra; Schober, Barbara; Spiel, Christiane – Learning and Instruction, 2008
The paper presents three studies which deal with the time students spend working at home for school. In addition, the paper focuses on the distribution of time investment over the course of a week and on the relationship between academic achievement and time spent working at home for school. In sum, 824 students with an average age of 15 years…
Descriptors: Age, Academic Achievement, Diaries, Homework
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Ishikawa, Sandra – Journal of Second Language Writing, 1995
Examines long-term effects of two types of practice task on low-proficiency English-as-a-foreign-language writing. Two classes of freshmen at a Japanese women's college were assigned homework tasks based on picture stories. Results showed that low-proficiency students can improve their writing proficiency more by writing out picture stories than…
Descriptors: College Students, Data Analysis, Data Collection, English (Second Language)
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Orman, Sheryl A. – Arithmetic Teacher, 1993
Describes mathematics backpacks containing four mathematics activities designed to (1) strengthen the home-school connection; (2) present open-ended activities that encourage discussion; and (3) engage students and parents in learning mathematical concepts. Provides a sample draft letter to the parents, example activities, guidelines for…
Descriptors: Data Collection, Elementary Education, Enrichment Activities, Graphs