Publication Date
| In 2026 | 0 |
| Since 2025 | 61 |
| Since 2022 (last 5 years) | 503 |
| Since 2017 (last 10 years) | 1091 |
| Since 2007 (last 20 years) | 1980 |
Descriptor
| Behavior Patterns | 11653 |
| College Students | 1160 |
| Foreign Countries | 971 |
| Higher Education | 971 |
| Adolescents | 896 |
| Sex Differences | 847 |
| Interpersonal Relationship | 805 |
| Behavioral Science Research | 791 |
| Student Behavior | 721 |
| Responses | 710 |
| Parent Child Relationship | 673 |
| More ▼ | |
Source
Author
| Vincent, Jack E. | 31 |
| Lewis, Michael | 15 |
| Newman, Ian M. | 15 |
| Hou, Huei-Tse | 14 |
| Bachman, Jerald G. | 12 |
| Berkson, Gershon | 12 |
| Fagot, Beverly I. | 11 |
| McKinney, James D. | 11 |
| Comstock, George | 10 |
| Guess, Doug | 10 |
| Algozzine, Bob | 9 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 372 |
| Practitioners | 268 |
| Teachers | 110 |
| Administrators | 31 |
| Parents | 20 |
| Counselors | 15 |
| Students | 14 |
| Policymakers | 11 |
| Community | 5 |
| Support Staff | 5 |
| Media Staff | 4 |
| More ▼ | |
Location
| Canada | 108 |
| Australia | 88 |
| United States | 69 |
| Israel | 66 |
| China | 62 |
| United Kingdom | 44 |
| California | 41 |
| Netherlands | 39 |
| Taiwan | 39 |
| New York | 37 |
| Japan | 36 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 3 |
| Does not meet standards | 2 |
Hendra Michael Aquan; Luisa Diana Handoyo; Antonius Tri Priantoro – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
This study examines environmental awareness at a university in Indonesia, focusing on knowledge, attitudes, and behaviors in seven environmental areas: climate, water, food, energy, natural resources, biodiversity, and waste. A total of 442 respondents (380 students, 42 lecturers, 20 educational staff) were surveyed using a Likert scale…
Descriptors: Environmental Education, Climate, Water, Food
Deng, Ruiqi; Benckendorff, Pierre; Gannaway, Deanne – British Journal of Educational Technology, 2020
The purpose of this study is to contribute to a better understanding of the complexity of conceptualising and measuring learner engagement in Massive Open Online Courses (MOOCs). The paper develops and validates a MOOC engagement scale (MES) to measure learner engagement. The initial questionnaire items of the scale were developed by reviewing…
Descriptors: Online Courses, Learner Engagement, Test Construction, Test Validity
Milat, Iness Nedji; Seridi, Hassina; Moudjari, Abdelkader – International Journal of Distance Education Technologies, 2020
Recently, discovering learner behaviour has taken more attention in the field of e-learning. It aims to gain useful insights into the learning process of students despite the absence of direct interaction with teachers. In fact, the only available source of information in such environments is the log file that represents all possible interactions…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Learning Analytics
Croce, Michel – Ethics and Education, 2020
This paper takes issue with the exemplarist strategy of fostering virtue development with the specific goal of improving its applicability in the context of education. I argue that, for what matters educationally, we have good reasons to endorse a "liberal" account of moral exemplarity. Specifically, I challenge two key assumptions of…
Descriptors: Ethics, Moral Values, Educational Philosophy, Teaching Methods
Dermy, Oriane; Brun, Armelle – International Educational Data Mining Society, 2020
Analyzing students' activities in their learning process is an issue that has received significant attention in the educational data mining research field. Many approaches have been proposed, including the popular sequential pattern mining. However, the vast majority of the works do not focus on the time of occurrence of the events within the…
Descriptors: Learning Analytics, Time, College Freshmen, Intervals
AERA Online Paper Repository, 2020
Debugging is the most difficult part of programming for novices. Through comparative experiments, this paper compares the differences between novices and the experts in the debugging process from the perspective of the frequency of each debugging skill behavior and the connection of each behavior. The study find that there is a difference in the…
Descriptors: Programming, Troubleshooting, Novices, Expertise
Galeshi, Roofia; Patterson, Margaret B. – AERA Online Paper Repository, 2020
Recent studies have linked propensity to donate one's time and money to educational attainment and cognitive skills. However, the tumultuous change caused by the advancement of technology and changing the landscape of information has made millennials a generation with unique social engagement patterns that might differ from the previous…
Descriptors: Young Adults, Numeracy, Volunteers, Behavior Patterns
Adnane Ez-zizi; Dagmar Divjak; Petar Milin – Language Learning, 2024
Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla-Wagner error-correction learning (Rescorla & Wagner, 1972) captures several aspects of language processing. Whereas previous studies have provided general support for the Rescorla-Wagner rule by using it to explain the behavior of…
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Gender Differences
Iustina Alexandra Groza; Marius Ciprian Ceobanu; Cristina Maria Tofan – European Journal of Psychology of Education, 2024
Academic procrastination has been a subject of particular interest in research due to its frequent association with heightened levels of anxiety, stress, and the long-term risk of emotional and behavioural vulnerability (Hoge et al., 2013). Our study tests the correlation between motivational persistence as a trait and academic procrastination, as…
Descriptors: Study Habits, Females, Foreign Countries, Student Motivation
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Gökhan Akçapinar; Erkan Er; Alper Bayazit – International Review of Research in Open and Distributed Learning, 2024
Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Behavior
Shuai He; Yu Lu – Interactive Learning Environments, 2024
Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…
Descriptors: Instructional Effectiveness, Technology Uses in Education, Artificial Intelligence, Humanities Instruction
Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
Kohei Nakamura; Manabu Ishihara; Izumi Horikoshi; Hiroaki Ogata – Smart Learning Environments, 2024
Expectations of big data across various fields, including education, are increasing. However, uncovering valuable insights from big data is like locating a needle in a haystack, and it is difficult for teachers to use educational big data on their own. This study aimed to understand changes in student participation rates during classes and…
Descriptors: Foreign Countries, Junior High School Students, Junior High School Teachers, Public Schools
D'Wayne Bell; John B. Holbein; Samuel Imlay; Jonathan Smith – Annenberg Institute for School Reform at Brown University, 2024
We study how colleges shape their students' voting habits by linking millions of SAT takers to their college-enrollment and voting histories. To begin, we show that the fraction of students from a particular college who vote varies systematically by the college's attributes (e.g. increasing with selectivity) but also that seemingly similar…
Descriptors: Voting, Citizen Participation, Institutional Characteristics, College Applicants

Peer reviewed
Direct link
