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Zhi, Rui; Marwan, Samiha; Dong, Yihuan; Lytle, Nicholas; Price, Thomas W.; Barnes, Tiffany – International Educational Data Mining Society, 2019
Viewing worked examples before problem solving has been shown to improve learning efficiency in novice programming. Example-based feedback seeks to present smaller, adaptive worked example steps during problem solving. We present a method for automatically generating and selecting adaptive, example-based programming feedback using historical…
Descriptors: Data Use, Feedback (Response), Novices, Programming
Cynthia Estremera – ProQuest LLC, 2019
Since the introduction of the specific learning disability (SLD) classification in federal special education legislation, there has been considerable ambiguity and controversy about the criteria that should be used in the determination of SLD (Kavale & Flanagan, 2007; Zumeta et al., 2014). Various models have been introduced to identify…
Descriptors: School Psychologists, Disability Identification, Learning Disabilities, Trend Analysis
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Michael McGuire – Vocabulary Learning and Instruction, 2019
The concept of data-driven learning (DDL) -- direct student use of corpora -- has been gaining attention among researchers and teachers. DDL gives learners the chance to take an inductive approach to learning by recognizing patterns in corpus data rather than following abstract rules. However, very few studies focus on presenting clear practices…
Descriptors: Japanese, English (Second Language), Second Language Learning, Second Language Instruction
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Sean Mackney; Robin Shields – International Perspectives on Education and Society, 2019
This chapter examines the application of learning analytics techniques within higher education -- learning analytics -- and its application in supporting "student success." Learning analytics focuses on the practice of using data about students to inform interventions aimed at improving outcomes (e.g., retention, graduation, and learning…
Descriptors: Learning Analytics, Academic Achievement, College Students, Data Use
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Elizabeth A. Roumell; Kevin Roessger – International Perspectives on Education and Society, 2019
In a world where the continual combining of computer applications and the expansion of artificial intelligence is already necessarily changing the world of work for people, an education system that does not adequately respond to these trends and changes will render itself irrelevant. Education policy and regulation may suffer at the hand of such…
Descriptors: Data Analysis, Data Use, Policy Analysis, Educational Policy
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Vasudha Chaudhari; Victoria Murphy; Allison Littlejohn – International Perspectives on Education and Society, 2019
Almost every detail of our lives -- where we go, what we do, and with whom -- is captured as digital data. Technological advancements in cloud computing, artificial intelligence, and data analytics offer the education sector new ways not only to improve policy and processes but also to personalize learning and teaching practice. However, these…
Descriptors: Data Use, Data Analysis, Information Technology, Technology Uses in Education
Jason Robert Murphy – ProQuest LLC, 2018
Implemented in 2013, the Local Control Funding Formula (LCFF) requires Local Education Agencies (LEA's) to engage in a continuous improvement process that identifies actions that extend and improve services for targeted student groups. The vision of the LCFF is that all stakeholder groups including Staff (certificated, classified, management and…
Descriptors: Data, Visualization, Stakeholders, Access to Information
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Yang, Zongkai; Yang, Juan; Rice, Kerry; Hung, Jui-Long; Du, Xu – IEEE Transactions on Learning Technologies, 2020
This article proposes two innovative approaches, the one-channel learning image recognition and the three-channel learning image recognition, to convert student's course involvements into images for early warning predictive analysis. Multiple experiments with 5235 students and 576 absolute/1728 relative input variables were conducted to verify…
Descriptors: Distance Education, At Risk Students, Artificial Intelligence, Man Machine Systems
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Lawson, Hal A.; Lawson, Michael A. – Education Sciences, 2020
Isolated teachers in stand-alone American schools are expected to engage diverse students in the quest to facilitate their academic learning and achievement. This strategy assumes that all students will come to school ready and able to learn, and educators in stand-alone schools can meet the needs of all students. Student disengagement gets short…
Descriptors: Learner Engagement, Holistic Approach, Cooperation, School Community Relationship
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Bamberger, Annette; Bronshtein, Yifat; Yemini, Miri – Teaching in Higher Education, 2020
The competition for international students has spurred higher education institutions (HEIs) to craft marketing campaigns to appeal to potential students, with social media providing an increasingly prominent platform for such interactions. We analyse the social media data trails (Facebook posts) of two Israeli HEIs to reveal how they portray…
Descriptors: Student Recruitment, Foreign Students, Marketing, Social Media
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Holloway, Kristine – Journal of Electronic Resources Librarianship, 2020
The legal and ethical use of Big Data and Learning Analytics in academic libraries has been widely debated. Analyzing large data sets has tremendous potential for libraries to implement changes that help students and prove the library's value to the university. The librarian's role in safeguarding patron privacy in a university setting where…
Descriptors: Compliance (Legal), Ethics, Learning Analytics, Data Use
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Binder, Perry; Willey, Susan L.; Weston, Harold A. – Journal of Legal Studies Education, 2020
The authors developed a teaching project for students to debate data and workplace privacy dilemmas, formulate plans of action for the use of certain data about workers and job applicants, and apply the law to reach and defend their solutions. The purpose of this versatile exercise is to sensitize both undergraduate and graduate business students…
Descriptors: Privacy, Data Use, Law Related Education, Business Administration Education
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Flannery, K. Brigid; Kato, Mimi McGrath; Kittelman, Angus; McIntosh, Kent; Triplett, Danielle – School Psychology, 2020
Although high school graduation rates are improving, many students are still not successful. Research has documented that 9th grade is a pivotal year in determining whether a student will graduate or drop out. The purpose of this randomized controlled trial was to assess the effects of a Tier 1 intervention model (freshmen success) for 9th grade…
Descriptors: Grade 9, Intervention, High School Freshmen, Learner Engagement
Vasquez, Andrea – MDRC, 2020
Millions of students leave college every year before earning a degree. At community colleges, only a third of full-time students graduate within three years. How can school administrators help students stay in school and eventually graduate? Higher education institutions commonly offer students advising services to help them develop the academic…
Descriptors: Community Colleges, Two Year College Students, Program Design, Academic Advising
LeBoeuf, Whitney; Perrin, Phil; Kennedy, Stacey – Online Submission, 2020
A qualified and dedicated early care and education (ECE) professional workforce is essential for the well-being of our youngest children. Despite the importance of ECE professionals, the field continues to experience challenges recruiting and retaining individuals in the workforce, often due to high expectations for early care with inadequate…
Descriptors: Early Childhood Teachers, Child Care, Infants, Toddlers
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