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Yan, Zi; King, Ronnel B.; Haw, Joseph Y. – Assessment in Education: Principles, Policy & Practice, 2021
Both formative assessment and growth mindset scholars aim to understand how to enhance achievement. While research on formative assessment focuses on external teaching practices, work on growth mindset emphasises internal psychological processes. This study examined the interplay between three formative assessment strategies (i.e. sharing learning…
Descriptors: Formative Evaluation, Intelligence, Beliefs, Achievement Tests
Foste, Zak; Johnson, Steven, Jr. – Journal of College Student Development, 2021
This study draws on interviews with 22 Resident Assistants of Color across three universities to better understand the racialized nature of their work within white institutional spaces. We bring together theories of emotional labor (Hochschild, 1983; Turner-Kelly et al., 2021) and white institutional space (W.L. Moore, 2008) to detail the tensions…
Descriptors: Resident Advisers, College Students, Minority Group Students, Emotional Response
Lee, Jaekyung; Jaeger, Joseph – International Journal of Educational Methodology, 2021
What are missing in the U.S. education policy of "college for all" are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students'…
Descriptors: College Readiness, Longitudinal Studies, Databases, Artificial Intelligence
Walker, Jeremy; Coleman, Jason – College & Research Libraries, 2021
This study aims to evaluate the effectiveness and potential utility of using machine learning and natural language processing techniques to develop models that can reliably predict the relative difficulty of incoming chat reference questions. Using a relatively large sample size of chat transcripts (N = 15,690), an empirical experimental design…
Descriptors: Artificial Intelligence, Natural Language Processing, Prediction, Library Services
Chai, Ching Sing; Lin, Pei-Yi; Jong, Morris Siu-Yung; Dai, Yun; Chiu, Thomas K. F.; Qin, Jianjun – Educational Technology & Society, 2021
Artificial Intelligence (AI) is increasingly popular, and educators are paying increasing attention to it. For students, learning AI helps them better cope with emerging societal, technological, and environmental challenges. This theory of planned behavior (TPB)-based study developed a survey questionnaire to measure behavioral intention to learn…
Descriptors: Foreign Countries, Educational Technology, Artificial Intelligence, Learning Motivation
LaGree, Danielle; Tefertiller, Alec; Olsen, Katie – Journalism and Mass Communication Educator, 2021
Career paths of entry-level professionals in media fields are more ambiguous and complex than ever before. To make a successful transition into their careers, graduates must possess career management skills; they should be career adaptable. Grounded in a social psychological approach, a survey of college students (N = 320) examined how emotional…
Descriptors: Journalism Education, Employment Potential, Emotional Intelligence, Extracurricular Activities
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2021
Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale.…
Descriptors: Computer Assisted Testing, Scoring, Natural Language Processing, Computer Software
Kil, David; Baldasare, Angela; Milliron, Mark – Current Issues in Education, 2021
Student success, both during and after college, is central to the mission of higher education. Within the higher-education and, more specifically, the student-success context, the core raison d'être of machine learning (ML) is to help institutions achieve their social mission in an efficient and effective manner. While there should be synergy…
Descriptors: Learning Analytics, Academic Achievement, College Students, Electronic Learning
Manginas, Giannis; Papageorgiou, Aikaterini; Theodorou, Michail; Iakovaki, Maria – Mathematics Teaching Research Journal, 2021
The purpose of this study is to examine the relationship between flow intelligence (Gf), age and cognitive abilities of processing speed (Comp) of attention (Incomp) and reaction inhibition (Flef) in relation to the level of Mathematical proficiency (MP) of preschool students. Sixty-four kindergarten students participated in the research. Based on…
Descriptors: Mathematics Skills, Competence, Relationship, Intelligence
David, Hanna – Online Submission, 2021
This article examines the issue of therapeutic alliance in counseling the gifted, focusing on the conditions essential to build a therapeutic alliance between the counselor and the patient. The subject of therapeutic counseling has been widely discussed by many psychologists, both from theoretical and practical points of view in many works. It has…
Descriptors: Gifted, Counselor Client Relationship, Intervention, Patients
Moussalli, Souheila; Cardoso, Walcir – Research-publishing.net, 2021
This study investigates an Intelligent Personal Assistant's (IPA) ability to assist English as a Second Language (ESL) learners in developing their phonological awareness, perception, and production of the allomorphy in regular past tense marking in English (e.g. talk[t], play[d] and add[?d]). The study addresses the following questions: Can the…
Descriptors: Technology Uses in Education, Artificial Intelligence, Second Language Learning, Pronunciation Instruction
Blankenship, Rebecca J., Ed. – IGI Global, 2021
Choosing the right technologies to match student learning outcomes in today's technology-integrated classrooms presents educators and instructional designers with multiple curricula and instructional design challenges including selecting appropriate technologies to match desired student learning outcomes. As students continue to have broad access…
Descriptors: Educational Technology, Technology Integration, Instructional Design, Selection
Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
Quy, Tai Le; Roy, Arjun; Friege, Gunnar; Ntoutsi, Eirini – International Educational Data Mining Society, 2021
Traditionally, clustering algorithms focus on partitioning the data into groups of similar instances. The similarity objective, however, is not sufficient in applications where a "fair-representation" of the groups in terms of protected attributes like gender or race, is required for each cluster. Moreover, in many applications, to make…
Descriptors: Cluster Grouping, Artificial Intelligence, Mathematics, Computer Uses in Education
Hutt, Stephen; Ocumpaugh, Jaclyn; Ma, Juliana; Andres, Alexandra L.; Bosch, Nigel; Paquette, Luc; Biswas, Gautam; Baker, Ryan S. – International Educational Data Mining Society, 2021
Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…
Descriptors: Models, Self Control, Learning Strategies, Student Behavior

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