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ALSaad, Fareedah; Reichel, Thomas; Zeng, Yuchen; Alawini, Abdussalam – International Educational Data Mining Society, 2021
With the emergence of MOOCs, it becomes crucial to automate the process of a course design to accommodate the diverse learning demands of students. Modeling the relationships among educational topics is a fundamental first step for automating curriculum planning and course design. In this paper, we introduce "Topic Transition Map" (TTM),…
Descriptors: Online Courses, Student Diversity, Student Needs, Course Content
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Cogliano, MeganClaire; Bernacki, Matthew L.; Hilpert, Jonathan C.; Strong, Christy L. – Journal of Educational Psychology, 2022
We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…
Descriptors: Learning Analytics, College Science, Undergraduate Students, Biology
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Carman, Jennifer; Zint, Michaela; Burkett, Erin; Ibáñez, Inés – Science Education, 2021
As climate change becomes an increasingly important topic for science educators, it is critical to learn how teachers may be able to increase students' knowledge about it. We conducted two consecutive quasi-experimental studies that investigated the role of interest in predicting middle school students' knowledge gains from a unit about how…
Descriptors: Climate, Change, Science Instruction, Middle School Students
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Morsy, Sara; Karypis, George – Journal of Educational Data Mining, 2019
In order to help undergraduate students towards successfully completing their degrees, developing tools that can assist students during the course selection process is a significant task in the education domain. The optimal set of courses for each student should include courses that help him/her graduate in a timely fashion and for which he/she is…
Descriptors: Undergraduate Students, Grade Point Average, Course Selection (Students), Prediction
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Ortigosa, Alvaro; Carro, Rosa M.; Bravo-Agapito, Javier; Lizcano, David; Alcolea, Juan Jesus; Blanco, Oscar – IEEE Transactions on Learning Technologies, 2019
This paper presents the work done to support student dropout risk prevention in a real online e-learning environment: A Spanish distance university with thousands of undergraduate students. The main goal is to prevent students from abandoning the university by means of retention actions focused on the most at-risk students, trying to maximize the…
Descriptors: At Risk Students, Dropout Prevention, Undergraduate Students, Distance Education
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Joyce, Kathryn E.; Cartwright, Nancy – American Educational Research Journal, 2020
This article addresses the gap between what works in research and what works in practice. Currently, research in evidence-based education policy and practice focuses on randomized controlled trials. These can support causal ascriptions ("It worked") but provide little basis for local effectiveness predictions ("It will work…
Descriptors: Theory Practice Relationship, Educational Policy, Evidence Based Practice, Educational Research
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Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
Blazar, David; McNamara, Doug; Blue, Genine – Annenberg Institute for School Reform at Brown University, 2021
While teacher coaching is an attractive alternative to one-size-fits-all professional development, the need for a large number of highly skilled coaches raises potential challenges for scalability and sustainability. Collaborating with a national teacher training organization, our study uses administrative records to estimate the degree of…
Descriptors: Coaching (Performance), Faculty Development, Teacher Education, National Organizations
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Shi, Xin; Prevett, Pauline; Farnsworth, Valerie; Kwong, Koo Chun; Wan, Wanggen; He, Feng; Zhai, Qingqing; Zhen, Lu – Journal of Financial Counseling and Planning, 2019
This study develops a general method for modeling changes in response to items relating to students perceptions of personal finance and financial products. The new method is illustrated to analyze data from a sample of 1,250 students aged 16-18 who participated in a financial capability education study in the UK. We demonstrate how a quantitative…
Descriptors: Money Management, Literacy, Student Attitudes, Program Effectiveness
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Rickard, Brian; Mills, Melissa – International Journal of Mathematical Education in Science and Technology, 2018
Tutoring centres are common in universities in the United States, but there are few published studies that statistically examine the effects of tutoring on student success. This study utilizes multiple regression analysis to model the effect of tutoring attendance on final course grades in Calculus I. Our model predicted that every three visits to…
Descriptors: Mathematics Instruction, College Mathematics, Calculus, Tutoring
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Al Otaiba, Stephanie; Connor, Carol M.; Folsom, Jessica S.; Wanzek, Jeanne; Greulich, Luana; Schatschneider, Christopher; Wagner, Richard K. – Society for Research on Educational Effectiveness, 2015
This randomized control study compares the efficacy of two response-to-intervention (RTI) models: (1) Dynamic RTI, which immediately refers grade 1 students with the weakest skills to the most intensive intervention supports (Tier 2 or Tier 3); and (2) Typical RTI, which starts all students in Tier 1 and after 8 weeks, decides whether students who…
Descriptors: Response to Intervention, Randomized Controlled Trials, Models, Program Effectiveness
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Howe, Christine; Tavares, Joana Taylor; Devine, Amy – Journal of Experimental Child Psychology, 2012
Adults make erroneous predictions about object fall despite recognizing when observed displays are correct or incorrect. Prediction requires explicit engagement with conceptual knowledge, whereas recognition can be achieved through tacit processing. Therefore, it has been suggested that the greater challenge imposed by explicit engagement leads to…
Descriptors: Models, Prediction, Scientific Concepts, Program Effectiveness
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Kim, Hye Jeong; Miller, Heather R.; Herbert, Bruce; Pedersen, Susan; Loving, Cathy – Journal of Science Education and Technology, 2012
In this study, a wiki was integrated into a professional development model that systemically addresses early-career teachers' needs. This study was conducted to examine the impact of wiki-based professional development activities in a scientist-teacher professional learning community and focused on early-career teachers' perceptions of the role of…
Descriptors: Cooperation, Program Effectiveness, Science Teachers, Scientists
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Harvill, Eleanor L.; Peck, Laura R.; Bell, Stephen H. – American Journal of Evaluation, 2013
Using exogenous characteristics to identify endogenous subgroups, the approach discussed in this method note creates symmetric subsets within treatment and control groups, allowing the analysis to take advantage of an experimental design. In order to maintain treatment--control symmetry, however, prior work has posited that it is necessary to use…
Descriptors: Experimental Groups, Control Groups, Research Design, Sampling
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Williford, Anne; Boulton, Aaron; Noland, Brian; Little, Todd D.; Karna, Antti; Salmivalli, Christina – Journal of Abnormal Child Psychology, 2012
The present study investigated the effects of the KiVa antibullying program on students' anxiety, depression, and perception of peers in Grades 4-6. Furthermore, it was investigated whether reductions in peer-reported victimization predicted changes in these outcome variables. The study participants included 7,741 students from 78 schools who were…
Descriptors: Bullying, Structural Equation Models, Victims, Depression (Psychology)
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