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Mei-Shiu Chiu; Wee Tiong Seah; Hsin-Min Chen; I-Ping Wan – Education and Information Technologies, 2025
This study aims to identify teachers' selection/adoption of valuing pedagogy (VP) to implement an affect-focused mathematics teaching design with technological support. Valuing pedagogy is defined as teaching methods to address educational values and operationally defined as perceived, implemented, and received curricula, manifested by teacher…
Descriptors: Mathematics Instruction, Teaching Methods, Psychological Patterns, Technology Uses in Education
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Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
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Gonte, Madeleine R.; George, Joshua S.; Siegel, Dana R.; Gohlke, Alyxandra M.; Trepanier, Angela M.; Hicks, Melissa A.; Putra, Manesha – American Journal of Health Education, 2023
Background: Rapid advances in prenatal genetic testing highlight the need for technology-based tools to assist in informed decision-making. Purpose: This study evaluates the feasibility, acceptability, and efficacy of a Computer-Aided Genetics Education Module (CAGEM) as an e-counseling tool and decision aid in a busy obstetric clinic among a…
Descriptors: Feasibility Studies, Computer Assisted Instruction, Genetics, Obstetrics
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Tan, Jesmine S. H.; Chen, Wenli; Su, Junzhu; Su, Guo – International Journal of Computer-Supported Collaborative Learning, 2023
Peer feedback is known to have positive effects on knowledge improvement in a collaborative learning environment. Attributed to technology affordances, class-wide peer feedback could be garnered at a wider range in the networked learning environment. However, more empirical studies are needed to explore further the effects of type and depth of…
Descriptors: Peer Evaluation, Feedback (Response), Cooperative Learning, Computer Assisted Instruction
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Ji, Hyangeun; Han, Insook; Ko, Yujung – Journal of Research on Technology in Education, 2023
Despite the increasing use of conversational artificial intelligence (AI) in language learning, few studies explored how to develop collaborative partnership between AIs and humans. This systematic review examines empirical evidence of human-computer collaboration from 24 studies conducted in an AI-integrated language learning environment and…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Man Machine Systems, Computer Assisted Instruction
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Lainema, Kirsi; Syynimaa, Kirsi; Lainema, Timo; Hämäläinen, Raija – Journal of Research on Technology in Education, 2023
Extant research has identified the significance of technological affordances in computer-supported learning environments. However, until recently, there is scarcely empirical research on affordances for organizing collaboration in these learning environments. To address this gap, this study empirically examines affordances for organizing…
Descriptors: Undergraduate Students, Business Administration Education, Foreign Countries, Cooperative Learning
Kovacs, Paula Marie – ProQuest LLC, 2023
The problem addressed in this study was approximately 50% of adult learners enrolled in adult basic education (ABE) classes do not have an educational learning gain in mathematics and numeracy from ABE coursework (National Reporting System, 2022) and were often not promoted to the next level (Smith, 2022). The purpose of this quantitative ex post…
Descriptors: Adult Basic Education, Computer Assisted Instruction, Adult Students, Achievement Gains
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – 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: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
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Yan, Da – Education and Information Technologies, 2023
Technology-enhanced language learning has exerted positive effects on the performance and engagement of L2 learners. Since the advent of tools based on recent advancement in artificial intelligence (AI), educators have made major strides in applying state-of-the-art technologies to writing classrooms. In November 2022, an AI-powered chatbot named…
Descriptors: Artificial Intelligence, Second Language Learning, Writing Instruction, Practicums
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Michael W. Pelter; Libbie S. W. Pelter; Phillip I. Dinga; Nicholas E. Ernst; Madison L. Schultz – Journal of Chemical Education, 2023
A cornerstone activity in undergraduate organic laboratories revolves around students running instrumental analysis on their products and interpreting their spectra. They are left to link the theory they have learned in lecture to practical spectral interpretation. Students often memorize benchmark interpretations of peaks, such as the broad…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Organic Chemistry
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Andersen, Bjarke Lindsø; Jørnø, Rasmus Leth; Nortvig, Anne-Mette – Contemporary Educational Technology, 2022
Background: Adaptive and personalized learning technologies are on the rise in health education. However, to reach the potential of these technological innovations, novel learning designs are necessary, which take new possibilities and constraints into account. Aim: In this scoping review we answer the question: What characterizes learning designs…
Descriptors: Blended Learning, Educational Technology, Nursing Education, Literature Reviews
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Skulmowski, Alexander – Education and Information Technologies, 2022
Realistic visualizations are abundantly used in digital education. However, the use of realism is still thought to risk a cognitive overload due to excessive details. Moreover, it is still not precisely known whether there is an optimal level of realism that benefits learners the most. In two experimental studies, different versions of anatomical…
Descriptors: Visual Aids, Computer Assisted Instruction, Cognitive Processes, Difficulty Level
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Boussaha, Karima; Boussouf, Raouf Amir – International Journal of Virtual and Personal Learning Environments, 2022
Several researchers studied the impact of collaboration between the learners, but few studies have been carried out on the impact of collaboration between teachers. In the previous work, the authors have studied the impact of the collaboration among the learners with a specific collaborative CEHL(K. Boussaha et al.,2015). In this work, the authors…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Coaching (Performance), Intelligent Tutoring Systems
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Anna G. Brady – Research in Science Education, 2024
Computer-based learning environments (CBLEs) are powerful tools to support student learning. Increasingly of interest is the data that is recorded as learners interact with a CBLE. This "process data" yields opportunities for researchers to examine learners' engagement with a CBLE and explore whether specific interactions are associated…
Descriptors: Electronic Learning, Educational Environment, Data Use, Learner Engagement
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Matthew E. Foster – Journal of Research on Educational Effectiveness, 2024
Despite the surge in efficacy studies, the relative effectiveness of any two math interventions is largely unknown and replications are rare. To ensure that students benefit from high-quality learning experiences, the current conceptual replication of Wang and Woodworth, a randomized control trial, evaluated the relative impacts of two computer…
Descriptors: Elementary School Students, Mathematics Instruction, Numeracy, Intervention
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