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Randall, Katie Weaver; Ward, Justin – Washington Office of Superintendent of Public Instruction, 2018
The 2013 Washington State Legislature enacted legislation (Revised Code of Washington [RCW] 28A.165.100) requiring additional data reporting for the Learning Assistance Program (LAP). Under the guidelines provided in the law, the Office of Superintendent of Public Instruction (OSPI) produces an annual report to the Legislature summarizing the…
Descriptors: Language Arts, Mathematics Education, Supplementary Education, Learning Problems
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McLaren, Bruce M.; Adams, Deanne M.; Mayer, Richard E. – International Journal of Artificial Intelligence in Education, 2015
Erroneous examples--step-by-step problem solutions with one or more errors for students to find and fix--hold great potential to help students learn. In this study, which is a replication of a prior study (Adams et al. 2014), but with a much larger population (390 vs. 208), middle school students learned about decimals either by working with…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Arithmetic, Mathematics Instruction
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Stapleton, Laura M.; Pituch, Keenan A.; Dion, Eric – Journal of Experimental Education, 2015
This article presents 3 standardized effect size measures to use when sharing results of an analysis of mediation of treatment effects for cluster-randomized trials. The authors discuss 3 examples of mediation analysis (upper-level mediation, cross-level mediation, and cross-level mediation with a contextual effect) with demonstration of the…
Descriptors: Effect Size, Measurement Techniques, Statistical Analysis, Research Design
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Bowling, Bethany; Doyle, Maureen; Taylor, Jennifer; Antes, Alison – Journal of STEM Education: Innovations and Research, 2015
Efforts to improve retention in science, technology, engineering, and mathematics (STEM) majors frequently utilize peer mentors and/or leaders. At Northern Kentucky University, the STEM Ambassador (SA) program involves students in the creation of a STEM community through multifaceted roles as mentors, peer-learning facilitators, and social…
Descriptors: STEM Education, Majors (Students), School Holding Power, Mentors
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Hooshyar, D.; Ahmad, R. B.; Yousefi, M.; Yusop, F. D.; Horng, S.-J. – Journal of Computer Assisted Learning, 2015
Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem-solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one-to-one personalized and…
Descriptors: Flow Charts, Intelligent Tutoring Systems, Educational Technology, Teaching Methods
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Hull, Alison; du Boulay, Benedict – Computer Science Education, 2015
Motivation and metacognition are strongly intertwined, with learners high in self-efficacy more likely to use a variety of self-regulatory learning strategies, as well as to persist longer on challenging tasks. The aim of the research was to improve the learner's focus on the process and experience of problem-solving while using an Intelligent…
Descriptors: Motivation, Metacognition, Feedback (Response), Intelligent Tutoring Systems
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Feng, Shi; Stewart, Janay; Clewley, Danielle; Graesser, Arthur C. – Grantee Submission, 2015
We manipulated three types of short feedback (emotional, epistemic, and neutral) in an intelligent tutoring system designed to help struggling adult readers improve reading comprehension strategies. We conducted our research on college students to eventually compare with the targeted adult population. We also recorded their facial emotions.…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Feedback (Response)
Santos, Olga Cristina, Ed.; Boticario, Jesus Gonzalez, Ed.; Romero, Cristobal, Ed.; Pechenizkiy, Mykola, Ed.; Merceron, Agathe, Ed.; Mitros, Piotr, Ed.; Luna, Jose Maria, Ed.; Mihaescu, Cristian, Ed.; Moreno, Pablo, Ed.; Hershkovitz, Arnon, Ed.; Ventura, Sebastian, Ed.; Desmarais, Michel, Ed. – International Educational Data Mining Society, 2015
The 8th International Conference on Educational Data Mining (EDM 2015) is held under auspices of the International Educational Data Mining Society at UNED, the National University for Distance Education in Spain. The conference held in Madrid, Spain, July 26-29, 2015, follows the seven previous editions (London 2014, Memphis 2013, Chania 2012,…
Descriptors: Data Analysis, Educational Research, Computer Uses in Education, Integrated Learning Systems
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Gowda, Sujith M.; Baker, Ryan S.; Corbett, Albert T.; Rossi, Lisa M. – International Journal of Artificial Intelligence in Education, 2013
Recent research has extended student modeling to infer not just whether a student knows a skill or set of skills, but also whether the student has achieved robust learning--learning that enables the student to transfer their knowledge and prepares them for future learning (PFL). However, a student may fail to have robust learning in two fashions:…
Descriptors: Learning Processes, Transfer of Training, Outcomes of Education, Intelligent Tutoring Systems
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Gálvez, Jaime; Conejo, Ricardo; Guzmán, Eduardo – International Journal of Artificial Intelligence in Education, 2013
One of the most popular student modeling approaches is Constraint-Based Modeling (CBM). It is an efficient approach that can be easily applied inside an Intelligent Tutoring System (ITS). Even with these characteristics, building new ITSs requires carefully designing the domain model to be taught because different sources of errors could affect…
Descriptors: Models, Problem Solving, Intelligent Tutoring Systems, Item Response Theory
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Azcarraga, Judith; Suarez, Merlin Teodosia – International Journal of Distance Education Technologies, 2013
Brainwaves (EEG signals) and mouse behavior information are shown to be useful in predicting academic emotions, such as confidence, excitement, frustration and interest. Twenty five college students were asked to use the Aplusix math learning software while their brainwaves signals and mouse behavior (number of clicks, duration of each click,…
Descriptors: Brain, Computer Peripherals, Prediction, Emotional Response
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Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Instructional Science: An International Journal of the Learning Sciences, 2017
Prior research shows that representational competencies that enable students to use graphical representations to reason and solve tasks is key to learning in many science, technology, engineering, and mathematics domains. We focus on two types of representational competencies: (1) "sense making" of connections by verbally explaining how…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
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Zhang, Yu; Zhou, Xuehan – Current Issues in Comparative Education, 2017
The purpose of this study was to examine the effect of household education expenditure on National College Entrance Exam (NCEE) performance in China. Using a comprehensive dataset with a sample size of 5840 students collected in Jinan, China, this study found that the average effect of household education expenditure on NCEE performance is not…
Descriptors: Expenditures, College Entrance Examinations, Scores, Foreign Countries
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Zamberlan, Lisa; Wilson, Stephanie E. – Journal of Peer Learning, 2017
This paper reports on an action research project involving the redesign, implementation and evaluation of a peer tutor program in a first year design studio in higher education. The effectiveness of the revised program, particularly its capacity to support learning for commencing students in the environment of a creative studio, is examined…
Descriptors: Action Research, Peer Teaching, Tutoring, Design
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Metsala, Jamie L.; David, Margaret D.; Brown, Sarah – Reading & Writing Quarterly, 2017
This study examined the incidence of reading impairments, the reading profiles, and the outcomes of a reading intervention for youth involved in a comprehensive crime prevention program. Rates of reading impairments were between 55% and 61%. Reading profiles for participants with reading comprehension impairments showed deficits in phonological…
Descriptors: Reading Programs, Reading Difficulties, Reading Instruction, Youth Programs
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