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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
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
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
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
Power, Kerry – E-Learning and Digital Media, 2019
When conceptualising knowledge gained from tapping into an internet data pool, one may question many things which can include the role of the researcher and the researched, privacy and ethics, intention, authenticity and the vastness of scope. The researcher, regardless of research intention including moral or ethical positions, must acknowledge…
Descriptors: Ethics, Research Problems, Social Media, Researchers
Brahme, Maria E.; Gabriel, Lizette; Stenis, Paul V. – Journal of Library & Information Services In Distance Learning, 2016
Journey mapping, a method of collecting data that illustrates individuals' paths toward a specific goal, was originally developed for use in retail/customer service environments. Much of the literature describes its application in examining customer behavior when navigating merchants' Websites, allowing researchers to examine the effectiveness,…
Descriptors: Distance Education, Use Studies, Academic Libraries, Graduate Students
Chickerur, Satyadhyan; Joshi, Kartik – British Journal of Educational Technology, 2015
Emotion detection using facial images is a technique that researchers have been using for the last two decades to try to analyze a person's emotional state given his/her image. Detection of various kinds of emotion using facial expressions of students in educational environment is useful in providing insight into the effectiveness of tutoring…
Descriptors: Nonverbal Communication, Psychological Patterns, Recognition (Psychology), Computer Simulation
Çevik, Gülsen Büyüksahin – Journal of Education and Practice, 2017
The current research aims to study university students' levels of anger and satisfaction with life, based on gender, years of attendance, accommodation, and whether they experience adjustment problems. The current research participants included a total of 484 individuals (X-bar age = 22.56; SD = 1.72; range = 19-37), with 269 (55.6%) males and 215…
Descriptors: Foreign Countries, College Students, Student Attitudes, Life Satisfaction
Farnsworth, Megan – Studying Teacher Education, 2016
In order to improve her practice, a teacher educator explored emotions as catalysts for teaching and learning by asking the research question, "How can I support preservice teachers' emotional intelligence (EI), as well as my own, as we negotiate the impact of strong emotions in the pedagogical environment?" Three levels of reflection…
Descriptors: Teacher Educators, Self Evaluation (Individuals), Preservice Teacher Education, Preservice Teachers
Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
Millward, Pam; Wardman, Janna; Rubie-Davies, Christine – Higher Education Research and Development, 2016
This article reports on a case study of one New Zealand university faculty involved in the second phase of a three-phase study investigating the experiences of talented undergraduate students. Talented undergraduate students are a largely forgotten group in research. The current study sought to investigate who the talented students were, and then…
Descriptors: Foreign Countries, Undergraduate Students, Talent Identification, Talent
Lima, Kevin M. – ProQuest LLC, 2015
The purpose of this study was to examine the experiences of mainland college students, graduates of a unique Hawai'i high school, to identify factors that influenced higher education persistence. Students not persisting at college, a problem for students and higher education institutions is defined for this study as a student that did not return…
Descriptors: Case Studies, Phenomenology, Academic Persistence, Higher Education
Fu, Xiao – English Language Teaching, 2013
This study is to examine whether the implementation of CL in an intensive reading class has a positive effect on improving the passive situation of students, whether it helps activate their enthusiasm for and ease their anxiety of participation in language class activities, and whether it is helpful to their improvement of English proficiency. The…
Descriptors: Foreign Countries, English (Second Language), Cooperative Learning, Learning Strategies
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