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Kristabel Stark; Jessica Koslouski – TEACHING Exceptional Children, 2024
Considering the salience of emotions in their work, special educators should think of them as an important source of data to inform and improve their practice. Special educators' emotions and emotional labor are a rich and accessible form of data that can directly inform their delivery of high-quality instruction. Although special educators…
Descriptors: Special Education, Special Education Teachers, Psychological Patterns, Emotional Intelligence
Leighton, Jacqueline P. – Applied Measurement in Education, 2021
The objective of this paper is to comment on the think-aloud methods presented in the three papers included in this special issue. The commentary offered stems from the author's own psychological investigations of unobservable information processes and the conditions under which the most defensible claims can be advanced. The structure of this…
Descriptors: Protocol Analysis, Data Collection, Test Construction, Test Validity
Reeves Meyer, Justin; Heimlich, Joe E.; Horr, E. Elaine T.; Kemper, Rebecca F.; Börner, Katy – Journal of Museum Education, 2023
The article answers the research question: under what conditions and with what methods would museum visitors feel comfortable (and not comfortable) sharing sensitive information for the purposes of museum research or evaluation? We ground our study in literature about sharing personal information in person, online, and in the context of digital…
Descriptors: Museums, Informed Consent, Sharing Behavior, Information Dissemination
Venn, Edward; Park, Jaeuk; Andersen, Line Palle; Hejmadi, Momna – Teaching in Higher Education, 2023
A common theme in the literature on learning technologies is the way in which they can facilitate engagement both within and outside of the classroom. However, a lack of a scholarly consensus on what constitutes engagement renders problematic the issue of how one makes meaningful sense of the data presented in studies. This paper presents an…
Descriptors: Undergraduate Students, Educational Technology, Emotional Response, Psychological Patterns
Jen Munson; Erin E. Baldinger – Journal of the Learning Sciences, 2023
Background: Emotions are inherently intertwined with learning and disciplinary identity, and this relationship demands that teachers attend and respond to students' emotions. In this study, we forward a theory that the development of "pedagogical empathy," or the capacity to understand the implications of student emotions and use…
Descriptors: Educational Practices, Psychological Patterns, Empathy, Decision Making
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
Shamsi, Esmat; Bozorgian, Hossein – Education and Information Technologies, 2022
Many studies have explored educational and pedagogical affordances of social media, but few studies have investigated their impact on emotional and psychological aspects of language learning specifically Willingness to Communicate (WTC) in second and foreign language learners. In this paper, we have reviewed related research published in the last…
Descriptors: Literature Reviews, Social Media, Second Language Learning, Student Attitudes
Li, Maximilian Xiling; Nadj, Mario; Maedche, Alexander; Ifenthaler, Dirk; Wöhler, Johannes – Technology, Knowledge and Learning, 2022
With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…
Descriptors: Physiology, Computation, Artificial Intelligence, Psychological Patterns
Oliveira, Wilk; Tenório, Kamilla; Hamari, Juho; Pastushenko, Olena; Isotani, Seiji – Smart Learning Environments, 2021
The flow experience (i.e., challenge-skill balance, action-awareness merging, clear goals, unambiguous feedback, concentration, sense of control, loss of self-consciousness, transformation of time, and "autotelic" experience) is an experience highly related to the learning experience. One of the current challenges is to identify whether…
Descriptors: Prediction, Psychological Patterns, Learning Processes, Student Behavior
Melanie M. Keller; Takuya Yanagida; Oliver Lüdtke; Thomas Goetz – Educational Psychology Review, 2025
Students' emotions in the classroom are highly dynamic and thus typically strongly vary from one moment to the next. Methodologies like experience sampling and daily diaries have been increasingly used to capture these momentary emotional states and its fluctuations. A recurring question is to what extent aggregated state ratings of emotions over…
Descriptors: Foreign Countries, High School Students, Affective Behavior, Emotional Response
Melcher, Jennifer; Lavoie, Joel; Hays, Ryan; D'Mello, Ryan; Rauseo-Ricupero, Natali; Camacho, Erica; Rodriguez-Villa, Elena; Wisniewski, Hannah; Lagan, Sarah; Vaidyam, Aditya; Torous, John – Journal of American College Health, 2023
Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…
Descriptors: Telecommunications, Handheld Devices, College Students, COVID-19
Bostic, Jonathan David; Sondergeld, Toni A.; Matney, Gabriel; Stone, Gregory; Hicks, Tiara – Applied Measurement in Education, 2021
Response process validity evidence provides a window into a respondent's cognitive processing. The purpose of this study is to describe a new data collection tool called a whole-class think aloud (WCTA). This work is performed as part of test development for a series of problem-solving measures to be used in elementary and middle grades. Data from…
Descriptors: Data Collection, Protocol Analysis, Problem Solving, Cognitive Processes
Kaplan, Lennart; Kuhnt, Jana; Picot, Laura E.; Grasham, Catherine Fallon – Research Ethics, 2023
Across disciplines there is a large and increasing number of research projects that rely on data collection activities in low- and middle-income countries (LMICs). However, these are accompanied by an extensive range of ethical challenges. While the safeguarding of study participants is the primary aim of existing ethics guidelines, this paper…
Descriptors: Guidelines, Ethics, Barriers, Researchers
Knight, Jim; Faggella-Luby, Michael – Learning Professional, 2022
Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…
Descriptors: Coaching (Performance), Teacher Effectiveness, Instructional Effectiveness, Data Use
Oliver, Kevin M.; Houchins, Jennifer K.; Moore, Robert L.; Wang, Chuang – International Journal of Science and Mathematics Education, 2021
A growing body of research focuses on what outcomes to assess in makerspaces, and appropriate formats for capturing those outcomes (e.g. reflections, surveys, and portfolios). Linguistic analysis as a data mining technique holds promise for revealing different dimensions of learning exhibited by students in makerspaces. In this study, student…
Descriptors: Shared Resources and Services, Learning Analytics, Discourse Analysis, Data Collection