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Showing 1 to 15 of 34 results Save | Export
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Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
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Jingjing Long; Jiaxin Lin – Education and Information Technologies, 2024
English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…
Descriptors: Foreign Countries, English Language Learners, College Students, Mental Health
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Kelly Findley; Brein Mosely; Aaron Ludkowski – Statistics Education Research Journal, 2023
Reform efforts in statistics education emphasize the need for students to develop statistical thinking. Critical to this goal is a solid understanding of design in the process of collecting data, evaluating evidence, and drawing conclusions. We collected survey responses from over 700 college students at the start of an introductory statistics…
Descriptors: Thinking Skills, Statistics Education, Attribution Theory, Generalization
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Gray, Cameron C.; Perkins, Dave; Ritsos, Panagiotis D. – Assessment & Evaluation in Higher Education, 2020
The field of learning analytics is progressing at a rapid rate. New tools, with ever-increasing number of features and a plethora of datasets that are increasingly utilized demonstrate the evolution and multifaceted nature of the field. In particular, the depth and scope of insight that can be gleaned from analysing related datasets can have a…
Descriptors: Educational Research, Data Collection, Data Analysis, Visual Aids
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King, Seth A.; Dzenga, Chaidamoyo; Burch, Taneal; Kennedy, Krystal – Journal of Behavioral Education, 2021
Virtual reality (VR) places individuals within a simulated experience using an array of visual, auditory, and tactile interfaces. Research suggests VR, which facilitates the rehearsal of actual job duties and performance assessment during training, may improve professional development across a range of disciplines. Although studies incorporating…
Descriptors: Computer Simulation, Training, Behavior Change, College Students
Dunlap, Jill; Palmer, Iris; Wesley, Alexa – New America, 2021
The use of student data to inform decision-making and communication is still evolving in higher education. Often missing from campus conversations about use of student data are student voices about their preferences and needs. NASPA and New America engaged in a joint research effort to better understand student perceptions of data use within…
Descriptors: Data Use, Student Attitudes, Decision Making, Trust (Psychology)
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Gonzalez-Pons, Kwynn M.; Gallegos, Irene D.; Graves, Shelby L.; Frost, Caren J. – Journal of American College Health, 2021
Present data collection efforts to identify and address intimate partner violence on college campuses and universities are flawed. Traditional methods utilized to report on intimate partner violence on campus, including Campus Climate Surveys and Clery Act reporting guidelines, are insufficient in that they do not capture the full scope of…
Descriptors: Violence, College Students, Interpersonal Relationship, Intervention
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Gillanders, Cristina; Riojas-Cortez, Mari; Laser, Andrea; Miller, Chris; Rudman, Nicole – Journal of Early Childhood Teacher Education, 2021
This study explores common themes in recruitment and retention practices of Latinx undergraduate and graduate students that emerged across interviews of faculty in leadership positions at Institutes of Higher Education (IHE). In-depth interviews were conducted of six faculty holding leadership positions in their early childhood education programs…
Descriptors: Hispanic American Students, College Students, Student Recruitment, School Holding Power
Universities UK, 2020
Drawing on existing evidence, including Universities UK's (UUK) own research, this guidance provides a solutions-focused call for action to universities -- working with the entire university community -- to address racial harassment and make universities safe places to work and study. To support this, recommendations are put forward to support…
Descriptors: Foreign Countries, Racial Bias, College Role, College Environment
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Guarcello, Maureen A.; Levine, Richard A.; Beemer, Joshua; Frazee, James P.; Laumakis, Mark A.; Schellenberg, Stephen A. – Technology, Knowledge and Learning, 2017
Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…
Descriptors: Peer Teaching, Supplementary Education, College Students, Student Participation
Miller, Cynthia; Cohen, Benjamin; Yang, Edith; Pellegrino, Lauren – MDRC, 2020
College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…
Descriptors: College Students, Academic Advising, Technology Uses in Education, Faculty Advisers
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Beemer, Joshua; Spoon, Kelly; Fan, Juanjuan; Stronach, Jeanne; Frazee, James P.; Bohonak, Andrew J.; Levine, Richard A. – Journal of Statistics Education, 2018
Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…
Descriptors: Learning Modalities, Academic Achievement, Intervention, Educational Research
Fritz, John Lance – ProQuest LLC, 2016
The purpose of this study is to demonstrate how instructional technology impacts teaching and learning. Specifically, in this study I show how learning analytics could be implemented to encourage student responsibility for learning and identify effective faculty course designs that help. Typically, learning analytics focuses on data mining student…
Descriptors: Student Responsibility, Curriculum Design, Educational Technology, College Students
Association of American Universities, 2017
This report describes the policies and programs implemented and reported through an institutional survey undertaken by Association of American Universities (AAU) member universities to prevent and respond to campus sexual assault and misconduct. Fifty-five of the 62 leading research universities that comprise AAU's membership completed the survey,…
Descriptors: Sexual Abuse, Rape, Crime Prevention, Crime
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Taylor, Maurice; Taschereau, Suzanne – Canadian Journal of Action Research, 2014
This pan Canadian participatory action research project involved faculty and managers in twelve Canadian colleges and institutes, nine employers, and 1300 students and workers in examining exemplary practice in essential skills as a way of catalyzing system change. Multiple sources of data were used in the three year project and key findings…
Descriptors: Foreign Countries, Action Research, Colleges, College Students
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