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Ryan S. Baker; J. Elizabeth Richey; Jiayi Zhang; Shamya Karumbaiah; Juan Miguel Andres-Bray; Huy Anh Nguyen; Juliana Maria Alexandra L. Andres; Bruce M. McLaren – Instructional Science: An International Journal of the Learning Sciences, 2025
Digital learning games have been increasingly adopted in classrooms to facilitate learning and to promote learning outcomes. Contrary to common beliefs, many digital learning games can be more effective for female students than male students in terms of learning and affective outcomes. However, the in-game learning mechanisms that explain these…
Descriptors: Elementary School Students, Middle School Students, Sex, Gender Differences
Lisana Lisana; Edwin Pramana – International Journal on E-Learning, 2025
This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…
Descriptors: Foreign Countries, College Students, Electronic Learning, Higher Education
Grace Su Un Chow; Ling Ling Ang; Hooi San Phoon – Support for Learning, 2025
Classroom behavioural management stands as one of the most critical skills for teachers to master, both in theory and practice. This study aimed to compare the knowledge and skills in behaviour management between two groups: special education teachers in integrated special education classes and mainstream teachers in inclusive classrooms within…
Descriptors: Foreign Countries, Student Behavior, Behavior Modification, Classroom Techniques
Soo Youn Kim; Luc Lecavalier – Journal of Autism and Developmental Disorders, 2025
The aim of this study was to assess test-retest reliability and diagnostic validity of self-report instruments of depression and anxiety in autistic youth. Participants were 55 autistic youth aged 8-17 years presenting with depressive or anxiety symptoms. They were interviewed with the Kiddie Schedule for Affective Disorders and Schizophrenia for…
Descriptors: Autism Spectrum Disorders, Youth, Depression (Psychology), Anxiety
Marcia White; Ruth Rogers – Emotional & Behavioural Difficulties, 2025
This article explores some of the disparities between policy and practice in relation to the use of managed moves in the UK education system. The article interweaves professional reflection as a practitioner, into a review of academic literature and policy in relation to how managed moves could be implemented in order for them to better serve the…
Descriptors: Foreign Countries, Student Behavior, Expulsion, Transfer Students
Xiaohuan Zhang; Yongliang Wang – European Journal of Education, 2025
Recently, the use of artificial intelligence (AI) technologies has developed many aspects of education, as reported by several studies. However, little research has been done on the impact of AI-mediated education on junior middle school students' psycho-affective factors and behaviours. To fill the gaps, this study took an interventional…
Descriptors: Foreign Countries, Artificial Intelligence, Middle School Students, Independent Study
Matthew J. Green; Charlotte Haines Lyon; Alice Little; Jamie Telford – British Educational Research Journal, 2025
This paper explores teachers', parents' and pupils' perceptions and described experiences of school toilet policies, provisions and practices within state-funded primary (5-11 years) and secondary (11-16 years) schools in England. In doing so, this research critically examines how school-specific policies and toilet provisions influence children's…
Descriptors: Foreign Countries, Teacher Attitudes, Parent Attitudes, Student Attitudes
Pallavi Aggarwal – Metropolitan Universities, 2025
Background: Due to disruptive student behavior, a K-5 urban school developed a problem of practice that focused on creating a classroom management plan and a social-emotional plan for students to regulate their emotions effectively, allowing teachers to execute engaging lessons that increase student engagement. Informal observations conducted by a…
Descriptors: Learner Engagement, Classroom Techniques, Video Technology, Urban Schools
Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
Jansen, Renée S.; Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth – Journal of Computer Assisted Learning, 2022
Background: Learners in Massive Open Online Courses (MOOCs) are presented with great autonomy over their learning process. Learners must engage in self-regulated learning (SRL) to handle this autonomy. It is assumed that learners' SRL, through monitoring and control, influences learners' behaviour within the MOOC environment (e.g., watching…
Descriptors: Student Behavior, Learning Processes, Online Courses, Personal Autonomy
Tabares, Marta S.; Vallejo, Paola; Montoya, Alex; Correa, Daniel – Journal of Computing in Higher Education, 2022
Understanding learners' behavior is the key to the success of any learning process. The more we know about them, the more likely we can personalize learning experiences and provide successful feedback. This paper presents a feedback model implemented in a ubiquitous microlearning environment based on contextual and behavioral information and…
Descriptors: Feedback (Response), Models, Student Behavior, Educational Environment
Chambers, Brittany; Lowe, Jaylen; Muldrow, Lycurgus – Journal of STEM Education: Innovations and Research, 2022
There remains a need for more diverse STEM students that will be equipped with the necessary skills and growth mindset principles to pursue STEM positions and careers. While previous research has examined broadening participation through interventions geared toward a specific group, the intervention method used in this research case study utilized…
Descriptors: Student Attitudes, STEM Education, College Students, Intervention
Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
Gillett-Swan, Jenna K.; Lundy, Laura – Oxford Review of Education, 2022
Schools present a unique context for the generation and resolution of conflicts of human rights. While the conflicts that arise are many and various, a default response appears to be the prioritisation of the rights of the majority. Hence the rights of the many then trump the rights of the few. However, the intersection of multiple stakeholders,…
Descriptors: Civil Rights, Conflict Resolution, Student Behavior, Conflict
Luna, J. M.; Fardoun, H. M.; Padillo, F.; Romero, C.; Ventura, S. – Interactive Learning Environments, 2022
The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery (SD) approach based on MapReduce. The proposed SD approach, which is an extension of the well-known FP-Growth algorithm, considers emerging parallel methodologies like MapReduce to be able to cope…
Descriptors: Online Courses, Student Characteristics, Classification, Student Behavior

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