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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
Cixiao Wang; Jianjun Xiao – Interactive Learning Environments, 2024
Community-based courses, driven by connectivist learning theory, provide learners with a social environment that supports collaborative problem solving (CPS). The purpose of this study is to investigate the characteristics of potential collaborators before they engage in CPS. This study analyzed a community-based course, a cMOOC with a total of…
Descriptors: Network Analysis, Longitudinal Studies, Age Differences, Gender Differences
Michailidis, Nikolaos; Kapravelos, Efstasthios; Tsiatsos, Thrasyvoulos – Interactive Learning Environments, 2022
Students' skilful use of self-regulatory learning strategies is becoming fundamental to the advent of blog-based learning. Moreover, the use of Interaction Analysis (IA) in studying the learning dynamics in Computer-Supported Collaborative Learning (CSCL) activities is on the increase, particularly aiming to support participants by means of IA…
Descriptors: Interaction Process Analysis, Student Motivation, Learning Strategies, Electronic Learning
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Wong, Lung-Hsiang; Chai, Ching Sing; Aw, Guat Poh; King, Ronnel B. – Interactive Learning Environments, 2015
This paper reports a design-based research (DBR) cycle of MyCLOUD (My Chinese ubiquitOUs learning Days). MyCLOUD is a seamless language learning model that addresses identified limitations of conventional Chinese language teaching, such as the decontextualized and unauthentic learning processes that usually hinder reflection and deep learning.…
Descriptors: Second Language Learning, Chinese, Second Language Instruction, Learning Processes
Szeto, Elson; Cheng, Annie Y. N. – Interactive Learning Environments, 2016
A synchronous blend of online learning and "face-to-face" teaching is becoming a feasible instructional approach in higher education with the advent of technology. Although this learning mode is not new in higher education, little research has been done to contextualise social presence experiences in which effects of interactions were…
Descriptors: Blended Learning, Synchronous Communication, Computer Mediated Communication, Electronic Learning
Hou, Huei-Tse; Chang, Kuo-En; Sung, Yao-Ting – Interactive Learning Environments, 2009
The coming era of Web 2.0 focuses on users' active online participation and interaction. Among such interactive media, the blog is one representative tool of online knowledge construction. The purpose of this study is to explore the behavioral patterns and the depth of knowledge construction when using blogs for teachers' professional development.…
Descriptors: Protocol Analysis, Interaction, Content Analysis, Professional Development