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Showing 1 to 15 of 80 results Save | Export
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Chia-Ju Lin; Hsin-Yu Lee; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
In STEM hands-on learning activities, collaboration with group members can be a significant motivator for students' engagement. This research is based on the 6E Learning by DeSIGN™ model and explores the impact of incorporating reflective strategies on students' learning performance, motivation, and participation in collaborative STEM learning…
Descriptors: STEM Education, Reflection, Assistive Technology, Recognition (Psychology)
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Qi Zhou; Wannapon Suraworachet; Mutlu Cukurova – Education and Information Technologies, 2024
Collaboration is argued to be an important skill, not only in schools and higher education contexts but also in the workspace and other aspects of life. However, simply asking students to work together as a group on a task does not guarantee success in collaboration. Effective collaborative learning requires meaningful interactions among…
Descriptors: Learning Analytics, Cooperative Learning, Nonverbal Communication, Speech Communication
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Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
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Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation
Kaylee R. Tomak – ProQuest LLC, 2020
This research strongly suggests that essentially all children with the skill of generalized matching can learn receptive identification, even if they have failed to do so, using the standard least-to-most prompting procedure. The effective alternative procedures were antecedent picture prompting (Stone & Malott, 2010), consequence picture…
Descriptors: Children, Identification, Classification, Learning Strategies
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Livinus Obiora Nweke; Uchenna Franklin Okebanama; Gibson Uwaezuoke Mba – Discover Education, 2025
The integration of Internet of Things (IoT), Artificial Intelligence (AI), and cybersecurity presents new opportunities for innovation and entrepreneurship, yet traditional educational approaches often lack the interdisciplinary and applied focus required to develop these competencies. This study evaluates the impact of an experiential learning…
Descriptors: Entrepreneurship, Artificial Intelligence, Internet, Information Security
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Bedsole, Nathan H.; Hahn, Taylor Ward – Communication Teacher, 2023
This lesson offers students a way to analyze conspiracy theories while neither platforming dangerous ideas nor dismissing them as unworthy of academic study. Ideal for argument or rhetoric courses, first, the lesson advances conspiracy theories as a recognizable species of argument; second, the lesson uses a truncated version of Toulmin's model of…
Descriptors: Beliefs, Misconceptions, Communication (Thought Transfer), Learner Engagement
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Kauer, Trevor – Communication Teacher, 2023
Courses: Interpersonal Communication, Family Communication, Relational Communication. Objectives: The objective of this study is to engage students in identifying close relationships' costs/rewards, resources, and development by creating a visual representation using a tree metaphor. Students will reflect on their close relationships and apply…
Descriptors: Interpersonal Relationship, Family Relationship, Identification, Concept Mapping
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Wakjira, Abdalganiy; Bhattacharya, Samit – International Journal of Web-Based Learning and Teaching Technologies, 2021
Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…
Descriptors: Learner Engagement, Online Courses, Prediction, Models
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Stache, Lara C. – Communication Teacher, 2023
Utilizing popular murder-mystery texts that transcend boundaries of race, class, age, and sex, students apply Toulmin's 1958 concept of claim, data, warrant (Toulmin, S. E. 2003. The uses of argument. Cambridge University Press). Ultimately, students engage in an activity that demonstrates how argumentation plays a role outside of the college…
Descriptors: Teaching Methods, Identification, Persuasive Discourse, Learning Activities
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Zubi, Ibtisam Abdelhalek; Peled, Irit; Yarden, Marva – International Journal of Mathematical Education in Science and Technology, 2019
This study investigates the participation and knowledge growth of children with mathematical difficulties as they work in groups with their classmates on a year-long sequence of modelling tasks. It involves observations of a class of 23 fifth graders, 9 of whom were identified as having difficulties in mathematics. All the students worked for 8…
Descriptors: Mathematics Skills, Mathematics Instruction, Learning Problems, Grade 5
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Wan, Han; Liu, Kangxu; Yu, Qiaoye; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2019
Most educational institutions adopted the hybrid teaching mode through learning management systems. The logging data/clickstream could describe learners' online behavior. Many researchers have used them to predict students' performance, which has led to a diverse set of findings, but how to use insights from captured data to enhance learning…
Descriptors: Educational Practices, Learner Engagement, Identification, Study Habits
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Muñoz-Campos, Verónica; Franco-Mariscal, Antonio-Joaquín; Blanco-López, Ángel – International Journal of Science Education, 2020
This study concerns a framework for designing Teaching-Learning Sequences that aims to integrate the implementation of scientific practices in the context of daily problems. Said framework consists of three stages (formulation of the design principles, instructional design and design of the learning activities). It is based on four design…
Descriptors: Instructional Design, Teaching Methods, Guidelines, Sequential Learning
Reed, Shelly Jensen – ProQuest LLC, 2016
Debriefing, the reflective activity following an experiential learning exercise, has been identified as the most important part of simulation learning and is also important for learning in other activities utilized in nursing education. There is general agreement that debriefing provides learning and improves performance. However, there is little…
Descriptors: Reflection, Experiential Learning, Simulation, Learning
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Herndon, Keith L.; Norsworthy, Charlotte F.; Kor-Sins, Ryan – Journal of Leadership Education, 2020
This innovative practice paper explains a classroom leadership exercise that asks students to identify anonymous people as either Democrats or Republicans based only on brief descriptions. Students are challenged to explore the reasons behind the identifications they make, specifically confronting the trigger words that lead them to assign a…
Descriptors: Political Attitudes, Stereotypes, Social Bias, Leadership
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