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Decker, Adrienne; McGill, Monica M. – Education Sciences, 2019
There has been considerable investment in pre-college educational interventions for all areas of STEM (including computer science). The goal of many of these initiatives is to engage and interest students early in their educational career. In this study, a systematic literature review was undertaken to determine the demographic and program data…
Descriptors: Literature Reviews, Differences, Engineering Education, STEM Education
Reid, David B. – School Leadership & Management, 2019
This exploratory multi-case study investigates the types of teacher performance data principals consider and collect when evaluating teachers. Data come from public school principals (N = 10) in the U.S. state of Michigan and includes: interviews (n = 30), observations (n = 20), and artifacts collected in 2016 and 2017. Additionally, specific…
Descriptors: Principals, Teacher Evaluation, Teacher Administrator Relationship, School Effectiveness
Williamson, Ben – British Journal of Educational Technology, 2019
Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…
Descriptors: Foreign Countries, Higher Education, Technology Uses in Education, Data Analysis
Lasater, Kara – School Community Journal, 2019
The purpose of this study was to use an action research approach to improve family-school partnerships within one rural high school. The action research process occurred over three school years and involved multiple cycles of investigation. Each cycle of investigation involved an ongoing, iterative process of reflecting, planning, acting, and…
Descriptors: Family School Relationship, Rural Schools, High Schools, Trust (Psychology)
Berens, Johannes; Schneider, Kerstin; Gortz, Simon; Oster, Simon; Burghoff, Julian – Journal of Educational Data Mining, 2019
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…
Descriptors: Risk Management, At Risk Students, Dropout Prevention, College Students
Silva, Valtemir A.; Bittencourt, Ig Ibert; Maldonado, Jose C. – IEEE Transactions on Learning Technologies, 2019
Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…
Descriptors: Questioning Techniques, Classification, Man Machine Systems, Information Retrieval
Zhang, Zheng; Nagle, Joelle; McKishnie, Bethany; Lin, Zhen; Li, Wanjing – Pedagogies: An International Journal, 2019
This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…
Descriptors: Multiple Literacies, Educational Research, Data Collection, Data Analysis
Komljenovic, Janja – Globalisation, Societies and Education, 2019
Students, academics and university administrators are increasingly using and producing digital platforms, including social media. This paper focuses on LinkedIn to start tackling the question of the effects on higher education as a sector, its actors and the established social practices. It argues that LinkedIn moves beyond the passivity of…
Descriptors: Social Networks, Social Media, Labor Market, Employment Potential
Grasley-Boy, Nicolette; Gage, Nicholas A.; MacSuga-Gage, Ashley S. – Beyond Behavior, 2019
Quality professional development (PD) can be a great benefit to teachers who need help with classroom management implementation. PD programs have better outcomes when there is follow-up after skill instruction. Providing PD within a multitiered support (MTS) framework can make PD delivery more efficient for schools. We describe an MTS-PD program…
Descriptors: Classroom Techniques, Faculty Development, Program Implementation, Data Collection
Keržic, Damijana; Aristovnik, Aleksander; Tomaževic, Nina; Umek, Lan – Interactive Technology and Smart Education, 2019
Purpose: This paper aims to study the relationship between students' activities in the e-classroom and grades for the final exam. The study was conducted at the Faculty of Administration, University of Ljubljana among first-year undergraduate students. In the e-classroom, students learn new content for individual self-study, and their knowledge is…
Descriptors: Electronic Learning, Educational Technology, Undergraduate Students, Data Collection
Kyritsi, Kyriaki H.; Zorkadis, Vasilios; Stavropoulos, Elias C.; Verykios, Vassilios S. – Journal of Interactive Media in Education, 2019
Recent technological advances have led to tremendous capacities for collecting, storing and analyzing data being created at an ever-increasing speed from diverse sources. Academic institutions which offer open and distance learning programs, such as the Hellenic Open University, can benefit from big data relating to its students' information and…
Descriptors: Educational Research, Data Collection, Student Records, Information Security
Hartigan, Campbell; Hademenos, George – Physics Teacher, 2019
One way that STEM (science, technology, engineering, and math) initiatives are being utilized is to encourage schools and teachers to integrate key science-based concepts into daily instruction. The reason is simple: it is more than just an instructional improvement or curricular enhancement; it is a research-based strategy that addresses the…
Descriptors: Science Instruction, Physics, STEM Education, Robotics
Conley, Kathleen M.; Horner, Robert H.; McIntosh, Kent – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
A core feature of Positive Behavioral Interventions and Supports (PBIS) is the collection, summary, and use of data for iterative decision-making. The initial design of support and the adaptations that make behavior support match cultural, organizational, and personal needs require that a support team have functional information to guide…
Descriptors: Positive Behavior Supports, Elementary School Students, Decision Making, Progress Monitoring
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
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection