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Morell, Jonathan A. – American Journal of Evaluation, 2019
Project schedules are logic models that focus on the timing of program activities. Value derives from the fact that schedule changes are not random. Why they occur, and how long they last, can reveal information that would not be easily revealed with other approaches to evaluation. Also, using project schedules as logic models forges a strong link…
Descriptors: Scheduling, Program Administration, Models, Logical Thinking
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Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
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Heiden, Kathleen – Journal of Family and Consumer Sciences, 2018
Research is beneficial for student learning in undergraduate curricula. Undergraduate students who actively participate in research develop problem solving skills and learn to think independently. However, with limited faculty resources at many universities, only elite undergraduate students participate in research programs. This paper provides a…
Descriptors: Partnerships in Education, Mentors, Undergraduate Students, Teaching Methods
Yang, Shuo – ProQuest LLC, 2017
With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…
Descriptors: Probability, Models, Prediction, Longitudinal Studies
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Mimis, Mohamed; El Hajji, Mohamed; Es-saady, Youssef; Oueld Guejdi, Abdellah; Douzi, Hassan; Mammass, Driss – Education and Information Technologies, 2019
The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…
Descriptors: Educational Counseling, Guidance, Educational Research, Data Collection
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Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
Business-Higher Education Forum, 2019
"Creating Purposeful Partnerships" offers insights into business-led regional talent ecosystems that facilitate access, alignment, and development of a prepared workforce with the skills necessary for companies' long-term success. The findings of this report serve as a playbook for CEOs and their executive teams for establishing…
Descriptors: Partnerships in Education, School Business Relationship, Higher Education, Teamwork
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Fujimoto, Ken A.; Gordon, Rachel A.; Peng, Fang; Hofer, Kerry G. – AERA Open, 2018
Classroom quality measures, such as the Early Childhood Environment Rating Scale, Revised (ECERS-R), are widely used in research, practice, and policy. Increasingly, these uses have been for purposes not originally intended, such as contributing to consequential policy decisions. The current study adds to the recent evidence of problems with the…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Preschool Curriculum
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Leblay, Joffrey; Rabah, Mourad; Champagnat, Ronan; Nowakowski, Samuel – International Association for Development of the Information Society, 2018
How can we learn to use properly business software, digital environments, games or intelligent tutoring systems (ITS)? Mainly, we assume that the new user will learn by doing. But what about the efficiency of such a method? Our approach proposes an answer by introducing on-line coaching. In learning process, learners may need guidance to help them…
Descriptors: Intelligent Tutoring Systems, Coaching (Performance), Efficiency, Learning Processes
Fujimoto, Ken A.; Gordon, Rachel A.; Peng, Fang; Hofer, Kerry G. – Grantee Submission, 2018
Classroom quality measures, such as the Early Childhood Environment Rating Scale, Revised (ECERS-R), are widely used in research, practice, and policy. Increasingly, these uses have been for purposes not originally intended, such as contributing to consequential policy decisions. The current study adds to recent evidence of problems with the…
Descriptors: Rating Scales, Educational Quality, Early Childhood Education, Preschool Curriculum
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Morsomme, Raphaël; Alferez, Sofia Vazquez – International Educational Data Mining Society, 2019
Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…
Descriptors: Liberal Arts, Course Selection (Students), Courses, College Students
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Hao, Jiangang; Smith, Lawrence; Mislevy, Robert; von Davier, Alina; Bauer, Malcolm – ETS Research Report Series, 2016
Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…
Descriptors: Evaluation Methods, Games, Computer Assisted Testing, Data Collection
de Hoop, Thomas; Brudevold-Newman, Andrew; Davis, Dustin – American Institutes for Research, 2018
Low- and middle-income countries have made significant progress getting children into school, but student learning and achievement are often dreadfully low (Berry, Barnett, & Hinton, 2015; Pritchett, 2013). Approximately 250 million children across the world are not acquiring basic reading and math skills, even though about half have spent at…
Descriptors: Randomized Controlled Trials, Networks, Electronic Learning, Educational Technology
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Decuypere, Mathias – European Educational Research Journal, 2019
Open Education (OE), a generic term for a collection of practices that seek to broaden the access to education through digital means, has gained increasing traction and popularity over the last years and from various corners, both globally and in European circles. Rather than taking the technologies OE makes use of at face value, this article…
Descriptors: Open Education, Access to Education, Online Courses, Electronic Learning
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Gartner, Tracy B.; Thomas, Carolyn L.; Geedey, Kevin; Bjorgo-Thorne, Kim; Simmons, Jeffrey A.; Shea, Kathleen L.; Dosch, Jerald J.; Zimmermann, Craig R. – American Biology Teacher, 2020
Increasingly, undergraduate institutions are incorporating original research into the curriculum as a matter of best practice. However, while the practice of science has grown more collaborative, undergraduate research has remained largely confined to single-institution studies. Incorporating long-term, distributed research projects into the…
Descriptors: Undergraduate Students, Biology, Science Instruction, Best Practices
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