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Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
Collaborative for Academic, Social, and Emotional Learning, 2020
Educators across the country are grappling with an unprecedented set of circumstances as they prepare to welcome students and adults back to school. We face the layered impact of schools closures (e.g., loss of school-based relationships, routines, and learning); COVID-19 (e.g., on health, isolation, stress, and trauma); economic crisis (e.g.,…
Descriptors: Social Emotional Learning, COVID-19, Pandemics, School Closing
Lewis, Christine; Ollivaud, Patrice – OECD Publishing, 2020
Swiss society is ageing. At the same time, life expectancy is increasing. With most workers retiring around age 65, time in retirement is growing and the ratio of retirees to employees is set to soar. These developments bring a range of opportunities but will likely weigh on growth in GDP per capita and increase public spending. They may also…
Descriptors: Foreign Countries, Aging (Individuals), Population Trends, Public Policy
Metz, Allison; Louison, Laura; Ward, Caryn; Burke, Katie – National Implementation Research Network, 2020
The purpose of the "Implementation Support Practitioner Profile" is to identify the skills and competencies needed by implementation support practitioners to support effective implementation and scaling of evidence-informed practices, programs and policies to improve outcomes for people and communities. The integration of implementation…
Descriptors: Evidence Based Practice, Empathy, Personality Traits, Interdisciplinary Approach
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Svihla, Vanessa; Wester, Michael J.; Linn, Marcia C. – Journal of Learning Analytics, 2015
Designing learning experiences that support the development of coherent understanding of complex scientific phenomena is challenging. We sought to identify analytics that can also guide such designs to support retention of coherent understanding. Based on prior research that distributing study of material over time supports retention, we explored…
Descriptors: Science Education, Pretests Posttests, Inquiry, Multiple Regression Analysis
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Ting, Choo-Yee; Ho, Chiung Ching – British Journal of Educational Technology, 2015
This paper presents the dataset collected from student interactions with INQPRO, a computer-based scientific inquiry learning environment. The dataset contains records of 100 students and is divided into two portions. The first portion comprises (1) "raw log data", capturing the student's name, interfaces visited, the interface…
Descriptors: Inquiry, Educational Environment, Scientific Methodology, Interaction
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Chang Rundgren, Shu-Nu – Cultural Studies of Science Education, 2015
In this increasingly globalised age, ideas developed in different cultures and countries can be disseminated very rapidly, which is supposed to allow people who live in different cultures to exchange information and learn from each other easily. However, the process of adapting educational ideas developed within one culture for use in another…
Descriptors: Cultural Differences, Teaching Methods, Cultural Relevance, Teacher Attitudes
National Centre for Vocational Education Research (NCVER), 2015
This publication provides data on Australian Qualifications Framework (AQF) programs completed from 2010 to 2014 in Australia's government-funded vocational education and training (VET) system (broadly defined as all activity delivered by government providers and government-funded activity delivered by community education and other registered…
Descriptors: Foreign Countries, Vocational Education, Federal Aid, Graduation Rate
Osher, D.; Fisher, D.; Amos, L.; Katz, J.; Dwyer, K.; Duffey, T.; Colombi, G. D. – National Center on Safe Supportive Learning Environments, 2015
Discriminatory discipline practices in the nation's schools disproportionately impact students of color; students with emotional, behavioral, and cognitive disabilities; and youth who identify as lesbian, gay, bisexual, transgender, and questioning (LGBTQ). Large numbers of these students are removed from class, lose opportunities to learn, and…
Descriptors: Discipline, Minority Group Students, Disabilities, Homosexuality
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
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Knight, Simon; Shum, Simon Buckingham; Littleton, Karen – Journal of Learning Analytics, 2014
Learning Analytics is an emerging research field and design discipline that occupies the "middle space" between the learning sciences/educational research and the use of computational techniques to capture and analyze data (Suthers & Verbert, 2013). We propose that the literature examining the triadic relationships between…
Descriptors: Data Analysis, Data Collection, Educational Research, Epistemology
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Pechenizkiy, Mykola; Gaševic, Dragan – Journal of Learning Analytics, 2014
This section offers a compilation of 16 extended abstracts summarizing research of the doctoral students who participated in the Second Learning Analytics Summer Institute (LASI 2014) held at Harvard University in July 2014. The abstracts highlight the motivation, main goals and expected contributions to the field from the ongoing learning…
Descriptors: Educational Research, Data Collection, Data Analysis, Doctoral Programs
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Ivancevic, Vladimir – Journal of Learning Analytics, 2014
Tests targeting the upper limits of student ability could aid students in their learning. This article gives an overview of an approach to the construction of such tests in programming, together with ideas on how to implement and refine them within a learning management system.
Descriptors: Item Banks, Educational Research, Data Collection, Data Analysis
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Ye, Cheng; Biswas, Gautam – Journal of Learning Analytics, 2014
Our project is motivated by the early dropout and low completion rate problem in MOOCs. We have extended traditional features for MOOC analysis with richer and higher granularity information to make more accurate predictions of dropout and performance. The results show that finer-grained temporal information increases the predictive power in the…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Saunders, Cheston; Taylor, Amy – Science Teacher, 2014
Pollution is not a problem we just read about anymore. It affects the air we breathe, the land we live on, and the water we consume. After noticing a lack of awareness in students, a lesson was developed that used Google Earth to pinpoint sources of pollution in the local area and in others across the country, and their effects on the surrounding…
Descriptors: Pollution, Educational Technology, Ecology, Misconceptions
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