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Lahza, Hatim; Smith, Tammy G.; Khosravi, Hassan – British Journal of Educational Technology, 2023
Traditional item analyses such as classical test theory (CTT) use exam-taker responses to assessment items to approximate their difficulty and discrimination. The increased adoption by educational institutions of electronic assessment platforms (EAPs) provides new avenues for assessment analytics by capturing detailed logs of an exam-taker's…
Descriptors: Medical Students, Evaluation, Computer Assisted Testing, Time Factors (Learning)
Mihelic, Katarina Katja; Lim, Vivien Kim Geok; Culiberg, Barbara – European Journal of Psychology of Education, 2023
This paper examines mobile cyberloafing, i.e. the use of phones for non-study purposes among Gen Z students, the first generation of digital natives. Drawing from research on misbehaviour and cyberloafing, we developed and tested a model with moral disengagement and subjective norms as predictors and psychological detachment and cognitive…
Descriptors: Telecommunications, Handheld Devices, Student Behavior, College Students
Yang, Christopher C. Y.; Ogata, Hiroaki – Education and Information Technologies, 2023
The application of student interaction data is a promising field for blended learning (BL), which combines conventional face-to-face and online learning activities. However, the application of online learning technologies in BL settings is particularly challenging for students with lower self-regulatory abilities. In this study, a personalized…
Descriptors: Individualized Instruction, Learning Analytics, Intervention, Academic Achievement
Chapman, Bailey N.; Drevon, Daniel D.; Jasper, Andrea D. – Journal of Behavioral Education, 2023
The Quiet Classroom Game (Radley in School Psychological Review 45: 93-108, 2016) is a class-wide behavior intervention involving an interdependent group contingency based on classroom noise level. It has been shown to be effective at increasing academically engaged behavior, decreasing disruptive behavior, and decreasing classroom noise level in…
Descriptors: Middle School Students, Grade 7, Classroom Environment, Student Behavior
Zhao, Lei – Psychology in the Schools, 2023
A growing number of researchers have begun to highlight the potential negative effects of the excessive use of social media on college students. In particular, college students engage in social media multitasking, in which they perform multiple tasks simultaneously. Such action could adversely influence their academic performance. Hence, on the…
Descriptors: Social Media, College Students, Student Behavior, Academic Achievement
Ning, Xiaoke – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the vigorous development of intelligent campus construction, great changes have taken place in the development of information technology in colleges and universities from the previous digital to intelligent development. In the teaching process, the analysis of students' classroom learning has also changed from the previous manual observation…
Descriptors: College Students, Algorithms, Student Behavior, Artificial Intelligence
Guo, Zhengyan; Chang, Yuan-Cheng – Educational Research and Reviews, 2023
Boredom is a topic worth studying, especially the impact of boredom on college students' study is worthy of further study. This research explained the related concepts of boredom firstly. According to the research content of previous researchers, boredom was divided into external influences and internal influences. The researcher also combined the…
Descriptors: Psychological Patterns, College Students, Student Attitudes, Academic Achievement
Knowlden, Adam P.; Naher, Shabnam – American Journal of Health Education, 2023
Background: Poor sleep is commonplace among traditional entry university students. Lifestyle modifications, such as time management behaviors, may improve sleep quality by allocating sufficient time for sleep and mitigating stress-associated sleep latency inefficiencies. Purpose: The purpose of our study was to evaluate time management behaviors…
Descriptors: Time Management, Student Behavior, Structural Equation Models, Prediction
Cheruvalath, Reena; Gaude, Ajay – European Journal of Psychology of Education, 2023
Teachers face problem behaviors among children in classrooms of different types and they use positive or negative strategies or both to handle the problem behavior. The objective of the study was to examine to what extent the metacognitive skills of teachers and teacher trainees help in handling problem behaviors of secondary school children…
Descriptors: Behavior Problems, Metacognition, Secondary School Students, Secondary School Teachers
Null, Dawn Christina; Asirvatham, Jebaraj – International Journal of Sustainability in Higher Education, 2023
Purpose: The purpose of this study is to examine the differences in sustainability knowledge, behaviors and attitudes among college students and to estimate the influence of knowledge of sustainability on students' sustainable behaviors. Design/methodology/approach: A cross-sectional online survey was used to collect quantitative data on…
Descriptors: Sustainability, Knowledge Level, Undergraduate Students, Student Attitudes
Cheng, Kun-Hung; Lee, Silvia Wen-Yu; Hsu, Ying-Tai – Journal of Educational Computing Research, 2023
Research has addressed the benefits of immersive virtual reality (IVR) for affective learning rather than cognitive performance, indicating the necessity to explore what factors may influence learners' attitudinal learning, defined as the result of instruction for changing learners' attitudes, when engaging in immersive instructional mediums. This…
Descriptors: Elementary School Students, Student Interests, Personality Traits, Student Attitudes
Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
Cömert, Zeynep; Samur, Yavuz – Interactive Learning Environments, 2023
Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…
Descriptors: Classification, Student Characteristics, Models, Student Motivation
Rosansky, Joseph A.; Rosenberg, Harold – Journal of American College Health, 2023
Increases and decreases in university students' drinking during and after the pandemic will be influenced by multiple factors, including their access to alcohol, COVID-related stress, social support, and whether they live with parents or on campus. Many will engage in elevated drinking, especially upon return to the campus environment. It is our…
Descriptors: College Students, Drinking, Pandemics, COVID-19
Groves, Emily A.; Najafichaghabouri, Milad; Seel, Christopher J.; Fischer, Sara; Thomas, Carys; Joslyn, P. Raymond – Education and Treatment of Children, 2023
Group contingencies (GCs) are an effective intervention for improving student outcomes in general education school settings but their use in alternative education has historically been limited. However, researchers have recently begun to build a substantial literature base demonstrating the potential of GCs in alternative education. This is…
Descriptors: Nontraditional Education, Intervention, Contingency Management, Program Effectiveness

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