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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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Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
Chen, Li; Yoshimatsu, Nobuyuki; Goda, Yoshiko; Okubo, Fumiya; Taniguchi, Yuta; Oi, Misato; Konomi, Shin'ichi; Shimada, Atsushi; Ogata, Hiroaki; Yamada, Masanori – Research and Practice in Technology Enhanced Learning, 2019
The purpose of this study was to explore the factors that might affect learning performance and collaborative problem solving (CPS) awareness in science, technology, engineering, and mathematics (STEM) education. We collected and analyzed data on important factors in STEM education, including learning strategy and learning behaviors, and examined…
Descriptors: STEM Education, Cooperative Learning, Feedback (Response), Learning Strategies
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Dindar, Muhterem; Järvelä, Sanna; Haataja, Eetu – British Journal of Educational Technology, 2020
There is a growing body of research on physiological synchrony (PS) in Collaborative Problem Solving (CPS). However, the current literature presents inconclusive findings about the way in which PS is reflected in cognitive and affective group processes and performance. In light of this, this study investigates the relationship between PS and…
Descriptors: College Students, Metacognition, Physiology, Problem Solving
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Loftus, Mary; Madden, Michael G. – Teaching in Higher Education, 2020
How do we teach and learn with our students about data literacy, at the same time as Biesta (2015) calls for an emphasis on 'subjectification' i.e. 'the coming into presence of unique individual beings'? (Good Education in an Age of Measurement: Ethics, Politics, Democracy. Routledge) Our response to these challenges and the datafication of higher…
Descriptors: Teaching Methods, Data Analysis, Literacy, Learning Processes
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Villanueva Manjarres, Andrés; Moreno Sandoval, Luis Gabriel; Salinas Suárez, Martha Janneth – Digital Education Review, 2018
Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…
Descriptors: Information Retrieval, Data Analysis, Educational Environment, Research Methodology
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Zanchi, Paola; Zampini, Laura; Fasolo, Mirco; D'Odorico, Laura – First Language, 2016
The present study examines narrative competence and its relationships with syntactic and prosodic skills in preschool children. The narrative skills of 30 typically developing Italian children were assessed during their first year of kindergarten attendance (T1) and again one year later (T2). A picture book was used to elicit children's…
Descriptors: Foreign Countries, Preschool Children, Kindergarten, Syntax
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Shen, Shitian; Mostafavi, Behrooz; Barnes, Tiffany; Chi, Min – Journal of Educational Data Mining, 2018
An important goal in the design and development of Intelligent Tutoring Systems (ITSs) is to have a system that adaptively reacts to students' behavior in the short term and effectively improves their learning performance in the long term. Inducing effective pedagogical strategies that accomplish this goal is an essential challenge. To address…
Descriptors: Teaching Methods, Markov Processes, Decision Making, Rewards
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Reilly, Joseph M.; Schneider, Bertrand – International Educational Data Mining Society, 2019
Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…
Descriptors: Problem Solving, Discourse Analysis, Cooperative Learning, Computer Assisted Instruction
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Tellinghuisen, Joel – Journal of Chemical Education, 2015
The method of least-squares (LS) has a built-in procedure for estimating the standard errors (SEs) of the adjustable parameters in the fit model: They are the square roots of the diagonal elements of the covariance matrix. This means that one can use least-squares to obtain numerical values of propagated errors by defining the target quantities as…
Descriptors: Least Squares Statistics, Error of Measurement, Error Patterns, Chemistry
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Vista, Alvin – Cogent Education, 2016
There are relatively few studies in Australia and South-East Asian region that combine investigating models of math growth trajectories with predictors such as reasoning ability and reading comprehension skills. Math achievement is one of the major components of overall academic achievement and it is important to determine what factors (especially…
Descriptors: Foreign Countries, Problem Solving, Reading Comprehension, Predictor Variables
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
Clark, Taylorann K.; Paulsen, Thomas H. – Journal of Agricultural Education, 2016
Technology is becoming increasingly popular in higher education in the way students are asked to communicate and collaborate. The student teaching experience is an integral part of developing critical thinking skills in pre-service teachers. During this experience, it is important that student teachers practice the theory they have been taught in…
Descriptors: Agricultural Education, Student Teachers, Critical Thinking, Electronic Journals
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Barahmand, Ali; Shahvarani, Ahmad – REDIMAT - Journal of Research in Mathematics Education, 2014
The purpose of the present article is to investigate how 15-year-old Iranian students interpret the concept of equation, its solution, and studying the relation between the students' equation understanding and solving. Data from two equation-solving exercises are reported. Data analysis shows that there is a significant relationship between…
Descriptors: Foreign Countries, High School Students, Secondary School Mathematics, Mathematics Education
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Attari, Mohammad Ali; Asgary, Sedigheh; Shahrokhi, Shahnaz; Naderi, Gholam Ali; Shariatirad, Schwann – Journal of Child & Adolescent Substance Abuse, 2012
The prevalence of drug abuse has been reported to be up to 17.0% in Iran. The aim of this study was to investigate the prevalence of two frequently abused substances--cannabis and opium--in samples of the young population in Isfahan, Iran. In a survey done from January 2005 to December 2006, 537 individuals aged 13-20 years were recruited using a…
Descriptors: Marijuana, Physical Examinations, Incidence, Drug Abuse
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