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Klingbeil, David A.; Van Norman, Ethan R.; Nelson, Peter M. – Assessment for Effective Intervention, 2021
This direct replication study compared the use of dichotomized likelihood ratios and interval likelihood ratios, derived using a prior sample of students, for predicting math risk in middle school. Data from the prior year state test and the Measures of Academic Progress were analyzed to evaluate differences in the efficiency and diagnostic…
Descriptors: Achievement Tests, Grade 6, Grade 7, At Risk Students
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Rein, Benjamin A.; McNeil, Daniel W.; Hayes, Allison R.; Hawkins, T. Anne; Ng, H. Mei; Yura, Catherine A. – Journal of American College Health, 2018
Objective: Training programs exist that prepare college students, faculty, and staff to identify and support students potentially at risk for suicide. Kognito is an online program that trains users through simulated interactions with virtual humans. This study evaluated Kognito's effectiveness in preparing users to intervene with at-risk students.…
Descriptors: College Students, Program Evaluation, Suicide, Prevention
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Samo, Damianus Dao; Darhim; Kartasasmita, Bana G. – Journal on Mathematics Education, 2018
The purpose of this study is to show the differences in problem-solving ability between first-year University students who received culture-based contextual learning and conventional learning. This research is a quantitative research using quasi-experimental research design. Samples were the First-year students of mathematics education department;…
Descriptors: Problem Solving, Mathematics Instruction, College Mathematics, College Freshmen
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Adair, Desmond; Jaeger, Martin; Price, Owen M. – International Journal of Higher Education, 2018
The use of a portfolio curriculum approach, when teaching a university introductory statistics and probability course to engineering students, is developed and evaluated. The portfolio curriculum approach, so called, as the students need to keep extensive records both as hard copies and digitally of reading materials, interactions with faculty,…
Descriptors: Active Learning, Introductory Courses, Statistics, Probability
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Lin, Yu-Shih; Chang, Yi-Chun; Chu, Chih-Ping – IEEE Transactions on Learning Technologies, 2016
The grouping problem is critical in collaborative learning (CL) because of the complexity and difficulty in adequate grouping, based on various grouping criteria and numerous learners. Previous studies have paid attention to certain research questions, and the consideration for a number of learner characteristics has arisen. Such a multi-objective…
Descriptors: Cooperative Learning, Experimental Groups, Control Groups, Pretests Posttests
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Anupam, Aditya; Gupta, Ridhima; Naeemi, Azad; JafariNaimi, Nassim – IEEE Transactions on Education, 2018
Quantum mechanics (QMs) is a foundational subject in many science and engineering fields. It is difficult to teach, however, as it requires a fundamental revision of the assumptions and laws of classical physics and probability. Furthermore, introductory QM courses and texts predominantly focus on the mathematical formulations of the subject and…
Descriptors: Quantum Mechanics, Experiential Learning, Introductory Courses, Educational Games
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Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
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Steiner, Peter M.; Cook, Thomas D.; Li, Wei; Clark, M. H. – Journal of Research on Educational Effectiveness, 2015
In observational studies, selection bias will be completely removed only if the selection mechanism is ignorable, namely, all confounders of treatment selection and potential outcomes are reliably measured. Ideally, well-grounded substantive theories about the selection process and outcome-generating model are used to generate the sample of…
Descriptors: Quasiexperimental Design, Bias, Selection, Observation
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Ouko, Susan; Aurah, Catherine; Amadalo, Maurice – Journal of Education and Practice, 2015
The importance of raising students' competence in mathematics in a developing country such as Kenya cannot be overstated. This is because to produce professionals in areas such as engineering, medicine and accounting requires a good score in mathematics. Students that will further their studies in these areas will find that vectors is prerequisite…
Descriptors: Foreign Countries, Peer Teaching, Secondary School Students, Mathematics Achievement
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Andrade, Alejandro; Danish, Joshua A.; Maltese, Adam V. – Journal of Learning Analytics, 2017
Interactive learning environments with body-centric technologies lie at the intersection of the design of embodied learning activities and multimodal learning analytics. Sensing technologies can generate large amounts of fine-grained data automatically captured from student movements. Researchers can use these fine-grained data to create a…
Descriptors: Measurement, Interaction, Models, Educational Environment
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Ryan, Sarah; Kaufman, Julia; Greenhouse, Joel; She, Ruicong; Shi, Judy – Community College Journal of Research and Practice, 2016
Whether through the use of online-only or hybrid/blended formats, colleges and universities across the country are increasingly utilizing online platforms as a medium for the delivery of instruction. At the same time, we know little about how student learning outcomes are related to students' engagement with online instructional formats. In…
Descriptors: Community Colleges, Two Year College Students, Blended Learning, Online Courses
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Lindstromberg, Seth – Language Teaching Research, 2016
This article reviews all (quasi)experimental studies appearing in the first 19 volumes (1997-2015) of "Language Teaching Research" (LTR). Specifically, it provides an overview of how statistical analyses were conducted in these studies and of how the analyses were reported. The overall conclusion is that there has been a tight adherence…
Descriptors: Meta Analysis, Second Language Learning, Second Language Instruction, Guidelines
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Hoogerheide, Vincent; Loyens, Sofie M. M.; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2016
Online learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the model-observer similarity hypothesis suggests that such…
Descriptors: Video Technology, Modeling (Psychology), Electronic Learning, Gender Differences
Clinton, Virginia; Morsanyi, Kinga; Alibali, Martha W.; Nathan, Mitchell J. – Grantee Submission, 2016
Learning from visual representations is enhanced when learners appropriately integrate corresponding visual and verbal information. This study examined the effects of two methods of promoting integration, color coding and labeling, on learning about probabilistic reasoning from a table and text. Undergraduate students (N = 98) were randomly…
Descriptors: Visual Discrimination, Color, Coding, Probability
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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2017
The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…
Descriptors: Biology, Science Instruction, Intelligent Tutoring Systems, Probability
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