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Vykopal, Jan; Seda, Pavel; Svabensky, Valdemar; Celeda, Pavel – IEEE Transactions on Learning Technologies, 2023
Hands-on computing education requires a realistic learning environment that enables students to gain and deepen their skills. Available learning environments, including virtual and physical laboratories, provide students with real-world computer systems but rarely adapt the learning environment to individual students of various proficiency and…
Descriptors: Students, Educational Technology, Computer Assisted Instruction, Media Adaptation
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Beege, Maik; Schneider, Sascha – Educational Technology Research and Development, 2023
Pedagogical agents were found to enhance learning but studies on the emotional effects of such agents are still missing. While first results show that pedagogical agents with an emotionally positive design might especially foster learning, these findings might depend on the gender of the agent and the learner. This study investigated whether…
Descriptors: Psychological Patterns, Design, Emotional Response, Educational Technology
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Yang, Xigui – TechTrends: Linking Research and Practice to Improve Learning, 2023
Collaborative learning and cooperative learning are two separate approaches developed independently by two groups of scholars around the same period of time in the 1960 and 1970s. Due to their different origins and intertwined paths of development, they have their own distinct features while sharing many similarities. The relationship between…
Descriptors: Cooperative Learning, Educational History, Group Dynamics, Teaching Methods
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Ironsi, Chinaza Solomon – Quality Assurance in Education: An International Perspective, 2023
Purpose: This paper asserts that while educational resources are times effective in teaching students how to write, the format in which they are delivered can influence results. With this in mind, this study aims to examine the effectiveness of using educational resources in a blended format. Design/methodology/approach: This study used a…
Descriptors: Educational Resources, Blended Learning, Writing Instruction, Writing Skills
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Zhang, Yanhui; MacWhinney, Brian – Smart Learning Environments, 2023
As hypothesized by the unified competition model (MacWhinney, 2007, 2017, 2021), optimizing training schemes can enhance second language (L2) learning by fostering various protective factors. Under such a framework, the current study focuses on how the familiarity of stimuli will affect learning Chinese phonetic skills in a computer-assisted…
Descriptors: Novelty (Stimulus Dimension), Second Language Learning, Chinese, Phonetics
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Bülbül, Buket Özüm; Güler, Mustafa – E-Learning and Digital Media, 2023
Geometric habits of mind (GHoM) are the approaches that individuals use to solve geometry problems. This study aimed to determine the effect of dynamic geometry software (DGS) in activating the GHoM of pre-service mathematics teachers. The study was conducted with six teacher candidates who were enrolled in a semester-long course titled…
Descriptors: Cognitive Processes, Problem Solving, Geometry, Computer Software
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Zhang, Shunan; Che, ShaoPeng; Nan, Dongyan; Li, Yincen; Kim, Jang Hyun – Education and Information Technologies, 2023
Considering the importance of group member familiarity in collaborative learning in classroom learning environments, this study examined the impact of group member familiarity on CSCL (computer-supported collaborative learning) in a networked setting. Also, the differences between CSCL in the online environments and FtF (face-to-face)…
Descriptors: Group Dynamics, Familiarity, Cooperative Learning, Computer Assisted Instruction
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Torres-Jimenez, Jose; Lescano, Germán; Lara-Alvarez, Carlos; Mitre-Hernandez, Hugo – Education and Information Technologies, 2023
Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…
Descriptors: Conflict, Identification, Computer Assisted Instruction, Cooperative Learning
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Boote, Stacy K.; Galanti, Terrie M. – Mathematics Teacher: Learning and Teaching PK-12, 2023
Mathematics achievement is positively associated with coding in the classroom. By making mathematical relationships visible to students as they code, teachers leverage rich connections between block-based computer programming and mathematical sense making. In this article, the authors describe strategies for adapting a Code.org lesson integrating…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematics Achievement, Coding
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Bywater, James P.; Lilly, Sarah; Chiu, Jennifer L. – Journal of Mathematics Teacher Education, 2023
This study examines technology-enhanced teacher responses and students' written mathematical explanations to understand how to support effective teacher responding and the centering of students' mathematical ideas. Although prior research has focused on teacher noticing and responding to students' mathematical ideas, few studies have explored the…
Descriptors: Computer Assisted Instruction, Feedback (Response), Mathematics Instruction, Written Language
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Ines A. Martin – Language Learning & Technology, 2023
This study investigated how learners' motivation to improve their pronunciation (i.e., pronunciation-focused motivation) influences their L2 pronunciation achievements. This relationship was explored separately in an online (n = 28) and a face-to-face (F2F) (n = 49) learning environment with beginner learners of German. In the online learning…
Descriptors: Pronunciation, Student Motivation, Second Language Learning, Online Courses
Smith, Lesley Erin – ProQuest LLC, 2023
The strand of feedback research within the field of Instructed Second Language Acquisition (ISLA) examines the effects of feedback on the development of second language (L2) knowledge and learning behaviors. While findings often make claims about the relationship between feedback and language processing, much of this research has not measured…
Descriptors: Feedback (Response), Second Language Learning, Language Processing, French
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Faozi, Ferdinand Hanif; Handayani, Putu Wuri – Electronic Journal of e-Learning, 2023
The purpose of the research is to analyze the factors that influence the continuance intention to use Mobile-Assisted Language Learning (MALL) applications in the context of language courses in Indonesia. The study aims to understand the key factors that contribute to users' intention to continue using MALL applications, particularly in the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, Intention
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Jacob C. Crislip; Esai Lopez; Cameron D. Armstrong; Taylor Petell; Laila Abu-Lail; Andrew R. Teixeira – Advances in Engineering Education, 2023
A chemical engineering student's knowledge of theory, experimental design, and real-world processes is tested and enforced in the Unit Operations laboratory courses. However, instructors are facing challenges of delivering high-quality, hands-on laboratory content with limited resources and increasingly large class sizes. Limited in-lab time is…
Descriptors: College Students, Chemical Engineering, Science Laboratories, Computer Simulation
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Tianyu Qin – Educational Linguistics, 2023
Dynamic assessment (DA) breaks the traditional dichotomy between assessment and instruction by including mediation in assessment procedures ((Poehner "Dynamic assessment: A Vygotskian approach to understanding and promoting second language development." Springer, Berlin, Germany, 2008)). The focus of DA is on how students or test-takers…
Descriptors: Computer Assisted Instruction, Student Evaluation, Evaluation Methods, Computer Assisted Testing
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