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Morehead, Kayla; McEldoon, Katherine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Learning Experience, Instructional Design, Authentic Learning, Teaching Methods
Lung-Chun Chang; Hon-Ren Lin; Jian-Wei Lin – Education and Information Technologies, 2024
Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring related skills but report concerns that programming logic is too difficult to learn because memorization of the syntax is required. Thus, they experience anxiety, are demotivated to learn, and,…
Descriptors: Learning Motivation, Outcomes of Education, Anxiety, Programming
Zhihui Zhang; Xiaomeng Huang – Education and Information Technologies, 2024
Blended learning combines online and traditional classroom instruction, aiming to optimize educational outcomes. Despite its potential, student engagement with online components remains a significant challenge. Gamification has emerged as a popular solution to bolster engagement, though its effectiveness is contested, with research yielding mixed…
Descriptors: Educational Games, Blended Learning, Learning Motivation, Language Proficiency
Dk Nurul Najiah Pg Abu Bakar; Masitah Shahrill; Yusuf F. Zakariya – SAGE Open, 2023
Educational stakeholders in Brunei are not exempted from the search for innovative instructional approaches as a tool to stem the tide of poor performance of students in mathematics. This study was designed to contribute to this national project by examining the impact of a digital escape game intervention on students' mathematics performance and…
Descriptors: Game Based Learning, Outcomes of Education, Mathematics Education, Foreign Countries
Yan Lin; Hongjian Liao; Suxian Weng; Wanqi Dong – Education and Information Technologies, 2024
Children's preschool years are crucial for the development of computational thinking (CT) skills. However, debate continues regarding whether CT should be developed through plugged-in or unplugged activities. This study investigated the similarities and differences between plugged-in and unplugged activities with similar learning content and…
Descriptors: Learning Activities, Computer Science Education, Teaching Methods, Thinking Skills
Anna Shostya – Journal of Economic Education, 2024
Kolb Learning Cycle Theory is employed in this study as a pedagogical framework to show how combining economics with photography can foster experiential learning. The author draws on her personal experience of teaching a course titled "Economic Issues through a Photographer's Lens" to undergraduate students in an urban setting. She…
Descriptors: Photography, Economics Education, Learning Theories, Teaching Methods
Fu, Qian; Zheng, Yafeng; Zhang, Mengyao; Zheng, Lanqin; Zhou, Junyi; Xie, Bochao – Educational Technology Research and Development, 2023
Providing appropriate feedback is important when learning to program. However, it is still unclear how different feedback strategies affect learning outcomes in programming. This study designed four different two-step programming feedback strategies and explored their impact on novice programmers' academic achievement, learning motivations, and…
Descriptors: Feedback (Response), Academic Achievement, Novices, Programming
Taw Kuei Chan – Education and Information Technologies, 2024
The synchronous hybrid learning model, which involves simultaneous face-to-face and remote learning, suffers from a disparity in the lesson experience and outcomes provided by the different learning modes. Moreover, the online medium allows little opportunity for teachers to exhibit non-verbal immediacy behaviours to improve cognitive engagement…
Descriptors: Computer Software, Learning Experience, Blended Learning, Teaching Methods
Xiaoli Huang; Wei Xu; Ruijia Liu – International Journal of Distance Education Technologies, 2025
This article presents a meta-analysis of the existing literature using Stata 18.0, focusing on the effects of ITSs on learning attitudes, knowledge acquisition, learner motivation, performance, problem-solving skills, test scores, and educational outcomes across different countries and educational levels (k = 30, g = 0.86). The findings suggest…
Descriptors: Intelligent Tutoring Systems, Outcomes of Education, Learning Motivation, Student Attitudes
Seyma Sahin; Abdurrahman Kiliç – Journal of Applied Research in Higher Education, 2025
Purpose: The ultimate objective of this study is to compare the impact of face-to-face and online flipped learning on students' academic achievements and their perspectives on learning and teaching, offering valuable insights to the field. Design/methodology/approach: The study utilized a quasi-experimental research method that involves pre-test…
Descriptors: Flipped Classroom, Teaching Methods, In Person Learning, Online Courses
Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
Ann Cleveland; Asli Sezen-Barrie; Franziska Peterson; Sara Lindsay – Journal of College Science Teaching, 2025
Quantitative reasoning (QR) competencies are increasingly called for in the data rich and complex environment of STEM disciplines, including biology. Curricular reform efforts in QR have been directed at disseminating course design and pedagogy but less work has been directed at understanding what faculty at large view as crucial for student…
Descriptors: Biology, Introductory Courses, Science Instruction, Statistics Education
Liujie Xu; Xuefei Zou; Yuxue Hou – Journal of Computer Assisted Learning, 2024
Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based…
Descriptors: Statistics Education, Comparative Analysis, Preservice Teachers, Teacher Education Programs
Fadhli, Muhibuddin; Brick, Billy; Setyosari, Punaji; Ulfa, Saida; Kuswandi, Dedi – International Journal of Instruction, 2020
A Meta-analysis of selected studies on the effectiveness of gamification method for children. Multiple gamification methods are used to motivate students to improve their learning outcomes. Yet, this method is still very rarely used in learning for children aged 6-10 years. This systematic review and meta-analysis aim to objectively determine the…
Descriptors: Instructional Effectiveness, Teaching Methods, Educational Games, Children
Bang, Hee Jin; Li, Linlin; Flynn, Kylie – Early Childhood Education Journal, 2023
This study investigates whether using My Math Academy, which provides personalized content and adaptive embedded assessments to support existing curricula, can improve learning outcomes and engagement for kindergarten and first grade students (N = 505 treatment, 481 control). Findings indicate that students using My Math Academy made significant…
Descriptors: Mathematics Instruction, Computer Software, Learning Motivation, Learner Engagement