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Shabrina, Preya; Mostafavi, Behrooz; Tithi, Sutapa Dey; Chi, Min; Barnes, Tiffany – International Educational Data Mining Society, 2023
Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Graphs, Data Analysis
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Xue, Xiaorui; Xie, Shiwei; Mishra, Shitanshu; Wright, Anna M.; Biswas, Gautam; Levin, Daniel T. – Educational Technology Research and Development, 2022
Recent advances in eye-tracking technology afford the possibility to collect rich data on attentional focus in a wide variety of settings outside the lab. However, apart from anecdotal reports, it is not clear how to maximize the validity of these data and prevent data loss from tracking failures. Particularly helpful in developing these…
Descriptors: Case Studies, Eye Movements, Comparative Analysis, Human Posture
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Smith, Peter K.; Lopez-Castro, Leticia – International Journal of Developmental Science, 2017
Until recently, there were four sources of large-scale self-report survey data on victim rates, cross-nationally: EU Kids Online, Global School Health Survey, Trends in International Mathematics and Science Study, and Health Behaviour of School-aged Children. Smith, Robinson, and Marchi (2016) examined the internal validity and external validity…
Descriptors: Bullying, Victims, Data, Foreign Countries
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Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
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Rife, Sean C.; Cate, Kelly L.; Kosinski, Michal; Stillwell, David – International Journal of Social Research Methodology, 2016
As participant recruitment and data collection over the Internet have become more common, numerous observers have expressed concern regarding the validity of research conducted in this fashion. One growing method of conducting research over the Internet involves recruiting participants and administering questionnaires over Facebook, the world's…
Descriptors: Social Media, Internet, Validity, Social Networks
Zeng, Songtian – ProQuest LLC, 2017
Over 30 states have adopted the Early Childhood Environmental Rating Scale-Revised (ECERS-R) as a component of their program quality assessment systems, but the use of ECERS-R on such a large scale has raised important questions about implementation. One of the most pressing question centers upon decisions users must make between two scoring…
Descriptors: Rating Scales, Scoring, Validity, Comparative Analysis
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Yilmaz, Kaya – European Journal of Education, 2013
There has been much discussion about quantitative and qualitative approaches to research in different disciplines. In the behavioural and social sciences, these two paradigms are compared to reveal their relative strengths and weaknesses. But the debate about both traditions has commonly taken place in academic books. It is hard to find an article…
Descriptors: Research Methodology, Qualitative Research, Statistical Analysis, Comparative Analysis
Jagesic, Sanja; Wyatt, Jeff – College Board, 2018
The Advanced Placement Program® (AP®) offers high school students the opportunity to take rigorous coursework in high school and receive college credit for AP Exam scores that meet or exceed the requirements of their attending institution. Students receiving AP credit are typically exempted from an introductory-level course or series of courses…
Descriptors: Advanced Placement Programs, High School Students, College Credits, Scores
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Bolhuis, Erik; Schildkamp, Kim; Voogt, Joke – Educational Research and Evaluation, 2016
Data use is becoming more important in higher education. In this case study, a team of teachers from a teacher education college was supported in data-based decision making by means of the data team procedure. This data team studied the reasons why students drop out. A team's success depends in part on whether the team is able to develop and apply…
Descriptors: Data Analysis, Decision Making, Case Studies, Teacher Education Programs
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Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
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Inoue, Chihiro – Language Learning Journal, 2016
The constructs of complexity, accuracy and fluency (CAF) have been used extensively to investigate learner performance on second language tasks. However, a serious concern is that the variables used to measure these constructs are sometimes used conventionally without any empirical justification. It is crucial for researchers to understand how…
Descriptors: Comparative Analysis, Syntax, Accuracy, Task Analysis
Hamilton, Laura S.; Steiner, Elizabeth D.; Holtzman, Deborah; Fulbeck, Eleanor S.; Robyn, Abby; Poirier, Jeffrey; O'Neil, Caitlin – RAND Corporation, 2014
This report describes the implementation of professional development (PD) reforms and efforts to use teacher effectiveness (TE) data to inform PD through the third year of the initiative for all seven sites: Hillsborough County Public Schools (HCPS), Shelby County Schools (SCS, formerly Memphis City Schools), Pittsburgh Public Schools (PPS), and…
Descriptors: Teacher Evaluation, Data, Faculty Development, Teacher Effectiveness
Soiferman, L. Karen – Online Submission, 2010
This discussion paper compares and contrasts "inductive" and "deductive" research approaches as described by Trochim (2006) and Plano Clark and Creswell (2007). It also examines the "exploratory" and "confirmatory" approaches by Onwueghuzie and Leech (2005) with respect to the assumption each holds about the nature of knowledge. The paper starts…
Descriptors: Research Methodology, Qualitative Research, Statistical Analysis, Comparative Analysis
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Hawken, Angela; Munck, Gerardo L. – Social Indicators Research, 2013
The two cross-national indices with gender-differentiated data introduced by the UNDP in 1995, as well as several other such indices developed subsequently, are an important resource for researchers and policy makers interested in gender disparities. Yet questions remain regarding how these indices should be interpreted and how valid they are.…
Descriptors: Gender Differences, Validity, Guidelines, Global Approach
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